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For-Profit Enterprise in Health Care. 1986. Nabonal Academy Press, Washington, D.C. The Changing Structure of the Nursing Home Industry and the Impact of Ownership on Quality, Cost, and Access Catherine Hawes and Charles De Phillips INTRODUCTION Many observers view the increasing "cor- poratization" of American health care as the most significant development since the pas- sage of Medicare and Medicaid. While there is general consensus about the trend toward corporatization, there is little agreement about the impact of this development on the cost, quality, and accessibility of American health care. Recently, the for-profit segment in the modern hospital sector has become prominent with the rapid growth of proprietary corporate chains. The nursing home sector has, how- ever, been dominated by proprietary provid- ers for decades, and publicly held corporations owning and operating nursing homes have been prevalent since the late 1960s. Until fairly recently, nursing homes have not attracted substantial attention from re- searchers, except for studies on costs. Rela- tively few studies have focused on quality, and even fewer have investigated accessibility. Virtually none have focused on nursing home "chains," that is, corporations owning and op- erating nursing homes in a number of states. There are, however, a few empirical studies that address the impact of the type of own- ership on nursing homes. They provide suggestive information about the incentive structure of these ownership forms and about what policymakers can expect if current trends continue. This paper will explore what is known about the impact of ownership and the corporatiza- tion of health care in the nursing home in Dr. Hawes is with the Research Tnangle Institute, and Dr. Phillips is a member of the faculty of political science at the University of North Carolina at Chapel Hill. 492 dustry. It will discuss the history of nursing homes, identify the current structure of the industry and the public policies that have con- tributed to this structure, and indicate poten- tial results if current ownership trends persist. Finally, it will attempt to apply what is known about developments in nursing homes to the hospital sector. Nursing home care is the third largest seg- ment of the health care industry. It will con- tinue to grow in prominence with increasing longevity, shifts in morbidity, and changing demographic, social, and economic patterns in the family. Given present demographic trends, (in particular, the dramatic growth of the 85 years of age and older segment of the popu- lation), the United States will need to increase its nursing home bed supply by an estimated 57 percent between 1980 and the year 1995 to keep pace with the current level of utili- zation (Harrington and Grant, 1985; Doty et al., 1985; Lane, 19841. Some experts predicted the need for an additional 1 million to 1.5 mil- lion beds by the year 2000, based on current utilization, prior rates of increase in utiliza- tion, and estimated rates of dependency among the elderly (Rice, 1984; Scanlon and Feder, 1984; U. S. DHHS, 1981b; Weissert, 1985~. By 2040, 4.3 million elderly are expected to be institutionalized (Doty et al., 1985~. This apparent need for additional long-term care beds presents policymakers with an im- portant opportunity to affect the future shape of the long-term care system. The debate about whether proprietary interests should be per- mitted to remain in the nursing home busi- ness, however, "is essentially moot" (Vladeck, 1980~. For-profit interests own more than 7S percent of the nursing homes nationwide and are rapidly expanding in the home health and life care markets. Yet, today's public policy decisions on reimbursement, health planning,
THE NURSING HOME INDUSTRY licensure, and the use of low-interest bonds for new construction can affect the structure of tomorrow's industry. Thus, the possibility exists for public policies to significantly affect the structure of the health care sector. Public policymakers have a clear stake in the emerging shape of the nursing home in- dustry. First, government has a fundamental regulatory role as the primary purchaser of formal long-term care services. It dispenses more than half of the dollars spent for nursing home care and assists in paying for nearly 70 percent of all the patients in nursing homes. As such, government has a responsibility to ensure that its funds are well spent. Second, the regulatory system bears a sig- nificant responsibility for the quality of nursing home care because of the frailty of most con- sumers. Consumers needing long-term care generally super from a bewildering array of chronic physical, functional, or mental disa- bilities. In fact, studies indicate that the nurs- ing home population is becoming even more aged and disabled, and this trend is likely to continue (GAO, 1982, 1983b; Manton, 1984~. These consumers have only a limited ability to choose rationally among providers of long- term care. They have poor access to accurate information, limited ability to evaluate the in- formation, and multiple disabilities that re- strict their mobility and ability to switch easily from one provider to another. Thus, consum- ers have little to influence facilities' decisions and behavior. Third, most nursing home patients lack ad- vocates to represent their interests. An esti- mated 30 percent of the patients have no living immediate family members, and as many as half have no relatives nearby (Broody, 1977; U. S. Senate Special Committee on Aging, 1974~. While physicians may recommend nursing home placement, they seldom choose the facility. Placement decisions for many in- rlividuals entering nursing homes are made by case workers and hospital discharge planners. These individuals may have the best interest of the patient at heart, but they labor under a set of incentives in which locating an empty bed-in any facility that will accept the pa- t~ent is a strong priority. Even when family members are present, they too labor under the burden of needing to locate an available 493 bed while lacking useful information on the comparative merits of different providers. As a result, government's role in quality as- surance is essential. Moreover, it is crucial. Despite considerable improvement in nursing homes since the inception of Medicare and Medicaid, substandard quality of patient care and quality of life remain serious problems nationwide. Inadequate nutrition, dehydra- tion, overdrugging, excessive use of physical restraints, failure to provide prescribed ther- apies, inattention to the psychosocial needs of nursing home residents, and ineffective gov- ernment regulatory activity are but a few of the problems commonly cited (Mech, 1980; Kane, 1983; Kane et al., 1979; Himmelstein et al., 1983; Zimmer, 1979; Ohio Nursing Home Commission, 1979; Virginia Joint Legislative Audit and Review Commission, 1978; Men- delson, 1974; Texas Nursing Home Task Force, 1978; AFL-CIO, 1977, 1983b; U.S. Senate Special Committee on Aging, 1974, 1975a,b; U.S. DHEW, 1975a; Ray et al., 1980; Ous- lander et al., 1982; California Health Facilities Commission, 1982; California Commission on State Government Organization and Econ- omy, 1983; Illinois Legislative Investigating Commission, 1983; Missoun State Senate, 1978; New Jersey State Nursing Home Commission, 1978~. Furthermore, nursing home costs have es- calated at an even more dramatic rate than costs for hospital care. Discrimination against recipients of Medicaid and those individuals with heavy-care needs is widely acknowledged (Harrington and Grant, 1985; GAO, 1979, 1983a,b; Feder and Scanlon, 1981; Scanlon, 1980a,b; Vogel and Palmer, 1983~. Given these problems in quality, cost, and accessibility of nursing home care, information about the im- pact of ownership is essential to rational pol- icymalcing in long-term care, particularly given the ability of public policies to restructure the industry. PUBLIC POLICY AND THE GROWTH OF NURSING HOMES The nursing home industry is generally seen as an outgrowth of Medicare and Medicaid, but its roots are older and more complex. The industry is heir to both the almshouse and the
494 hospital. Indeed, nursing home policy com- bines elements of health, welfare, and housing policy in a schizophrenic and nearly uncon- trollable amalgam of increasing cost, substan- dard care, and discrimination against both those most in need of care and those least able to pay for such care. It has also produced a large new industry that grew and became profitable largely by providing services to the infirm and disabled poor. Our current long-term care system is fi~n- damentally a creature of government policy. Yet, nursing homes and now home health, re- tirement, and life care communities have rarely been directly addressed as policy issues of some consequence. As Vladeck (1980) observes, By and large, nursing home policy has been made not only with limited foresight, but largely by peo- ple who, at Me time, were pumanly concerned with doing something different. It has, been an aPcer- thought, a side eject of decisions directed at over problems. The nursing home industry has grown as a Poor Laws and Poor Houses2 From colonial times to the Great Depres- sion, public policy in the United States fol- lowed the tradition of the English poor laws, leaving care of the destitute to local govern- ments and relying almost totally on "indoor relief' rather than direct income assistance. For the aged and infirm poor in America, this FOR-PROFIT ENTE~SE IN HEALTH CAM meant that the only form of public support was institutional, largely in almshouses and poor farms Bedeck, 1980; Dunlop, 1979~. There was, however, private support for the aged and infirm during this period. Approximately the same number of individuals resided in chari- table private homes for the aged, sponsored largely by immigrant and religious groups, as lived in the poor homes.3 Taken together, the almshouses, poor farms, and charitable homes for the aged housed ap- proximately 100,000 elderly Americans. Nearly as many aged individuals, an estimated 70,000, were inmates of mentalhospitals (Vladeck, 1980; Dunlop, 1979; Markus, 1972; Waldman, 1983~. Conditions in the mental institutions were un- doubtedly wretched; however, it was the abominable conditions in almshouses and the destitution of 7 million aged Americans that commanded policymakers' attention during the 1920s and early 1930s. These concerns shaped the Social Security Act and helped frame the growth of what became the nursing home in result of a multiplicity of factors. It has thrived Y on the infusion of public dollars (through a variety of programs, a growth in need due to changes in demographics and shifts in mor bidity patterns toward chronic diseases, and the interplay of policies aimed at other insti tutions (e g., admshouses, mental institutions, and acute care hospitals). In the process of growing, the industry has also fundamentally changed. Some of the most profound changes include an increasingly medically oriented set ting, a shift from smaller to larger facilities, a move away from government-owned and vol untary homes to proprietary ones. Most re cently, the industry has witnessed a growing concentration of ownership in mult~facility chains that are diversifying vertically as well as horizontally. Social Security and Old Age Assistance The original entry of proprietary providers into the business of owning and operating nursing homes was an unforeseen and prob- ably unintended consequence ofthe Social Se- cunty Act of 1935, which also established a federal grants-in-aid program to the states for old age assistance (OAA). OAA was a need- based (means-tested) cash grant program de- signed to provide income support to the el- derly poor who would not yet draw sufficient benefits from the old age insurance (OAI) sec- tion of the act. Because of the scandals about almshouses and poor farms, however, the act prohibited payment of the cash grant to any "inmate of a public institution." In effect, the framers of Social Security de- termined that OAA would not be used for the maintenance of almshouses. These restrictions enabled new OAA beneficiaries to turn else- where for care and assistance when they be- came incapable of caring for themselves (or being cared for) at home. Meager as most of the states' OAA payments were, they still pro- vided the elderly with sufficient purchasing power to obtain institutional care without be
THE NURSING HOME INDUSTRY coming wards of the cities or counties. The existing nonprofit institutions were accus- tomed to relying on payments from residents, supplemented by charitable contributions. As the Great Depression deepened, fewer resi- dents and their families were capable of paying their share, and charitable contributions also began to dwindle. Nevertheless, voluntary or- ganizations were slow to appreciate the op- portunity that OAA provided. By the end of the 1930s, the total number of individuals these facilities served was nearly the same as before the onset of the depression (Vladeck, 1980; McClure, 1968; Thomas, 1969~. Private board and care homes for pensioners had existed for some years, but the Social Se- curity Act's transfer of cash into the hands of the aged helped begin the transformation of this sector into a predominantly proprietary nursing home industry. The new flow of in- come to older people allowed private homes to provide some health services or supervision for those in need rather than just board and care. In addition, the economic problems en- gendered by the depression encouraged many individuals-whose only resources were their labor and the possession of a house to enter the business of providing "nursing" care in their homes. While the business was tiny by comparison to today's industry, the combination of OAA payments with the growing proportion of the aged in the population spurred growth of the industry, particularly the proprietary "mom and pop" sector (U.S. Senate Committee on Labor and Public Welfare, 1960; McClure, 1968; Thomas, 1969~.4 As Table 1 indicates, the period between 1939 and 1950 was one of significant growth, a certain sign of the impact of increased purchasing power among the el- derly as a result of Social Security and OAA. Post-World War II and the Eisenhower Era After World War II, developments in the hospital sector affected nursing homes. Chronic disease hospitals began to upgrade their ser- vices to provide rehabilitative care. In addi- tion, some acute care hospitals added beds to provide lower-cost care for patients needing subacute or extended recuperative care (Har 495 rington and Grant, 1985~. Although hospital- affiliated facilities did not capture a significant share of the market, they opened the way for the entrance of the medical profession into long-term care and for the eventual develop- ment of professional standards in what had pri- marily been a board and care industry (Lane, 1981, 1984; Dunlop, 19791. This transformation of the nursing home in- dustry was furthered by the extension of Hill- Burton grants to public and nonprofit orga- nizations for the construction of nursing homes. Apart from minimal state licensing laws, there were no regulatory standards for what kind of care these nursing homes should provide. In administering Hill-Burton, the Public Health Service (PHS), formulated the first standards on physical plant design and construction as well as staking patterns in nursing homes, fur- ther transforming these institutions into more medically oriented settings. They now be- longed to health as well as welfare policy (Vla- deck, 1980; Lane, 1984~. Two developments during the 1950s had a major impact on the growth and structure of the industry and attracted the first speculators to investment in nursing homes. The first was a vendor payment system, authorized under the 1950 amendments to the Social Security Act and expanded in 1956. This provided for federal matching funds to the states for direct payments to nursing homes (the "vendors") for care provided to OAA recipients. The second was increased availability of government-backed loans, through the Small Business Adminis- tration (SBA) and the Federal Housing Act (FHA), for nursing home construction and conversion (Markus, 1972~. The vendor payment system and increased government dollars available for nursing home care helped regularize payments, an attractive feature for businessmen. Perhaps most im- portant for the long-run shape of the industry, it gave nursing home providers an identifiable political entity to be lobbied for rate increases and favorable regulations. The vendor pay- ment program thus shaped a system in which the cost, quality, and level of services are de- cided in a transaction between vendors (pro- viders) and the state, creating the politics of long-term care. The availability of loans for nursing home
496 TABLE 1 Nursing Home Statistics by Yeara FOR-PROFIT ENTE~SE IN HEALTH CAM Percentage Change Annual from PAor Compounded Persons in Number of Number Reported Rate of Number Nursing Average Facility Year Facilitiesb of Bedsb Year Changer of Beds ~Homee Occupancy Ratesb 1939 1,200 25,000 - 35% 1950 9,OOOf 250, 0CCi 900 296,783 1961 9,900 510,180 104 14.7~ 469,717 80 1963 12,800 568,560 11 5.6 90 1969 14,998 879,091 55 7.5 972,514h 91 1973 15,737 1,175,865 34 7.5 92 1976 16,426 1,317,909 12 3.9 93 1980 17,737 1,479,000a 12 2.9 1,372,019a 1,426,371 95 1982 1,515,000 2.4 1.2 1,428,960a 95 ~ 1983 1,450,413a 95 + aThe discrepancies in the estimates are a result of several factors. For example, in many instances one nursing home that is certified to provide both skilled nursing care and intermediate care may be "double-counted." Also, some nursing homes also operate residential care beds, and these may sometimes be erroneously counted as nursing home beds. Thus, accurate estimates are difficult to achieve. Ibe Aging Health Policy Center (AHPC) data were colllected directly from the state licensing agencies and may be the most accurate. b Date from the National Center for Health Statistics (NCHS). CRate computed by Montgomery Securities (1983~. Data compiled by the AHPC, University of California at San Francisco (Harrington and Grant, 1985~. eData from U. S. Bureau of the Census, compiled by and reported in Scanlon and Feder (1984~. fData from Dunlop (1979~. "Rate of increase Tom 1939 to 1961. hData Tom 1970. construction and conversion through the SBA and FHA also had a major impact on the struc- ture of the industry. Hill-Burton construction grants were only available for nonprofit pro- viders, but SBA and FHA loans could be made to for-profit entities. Certainly these funds had an impact on the expansion of the proprietary sector, helping not only to increase bed supply but also to shift the facilities from converted homes with relatively few beds to the larger, more modern, single-purpose building that is the norm today. Additionally, it made builders and real estate speculators aware of a new and potentially very profitable market for invest- ment nursing homes. As Lane (1984) ob- serves, "This capitalization of the profession by prudent real estate businessmen seeking a secured return on their investment helps to explain the ~ronrietan~ n~hlr~ of the inAllc_ try. ,7 ~ _, _ _~ _ - ,._ ~,~ ~ Direct payment to vendors and construction loans attracted the first significant group of proprietary operators, many of whose names eventually became synonymous with nursing home scandals the Bergmans, Hollanders, Kosows, and the first rumored involvement of He Mafia in the industry (Mendelson, 1974~. These public policies also resulted in signifi- cant increases in government spending and growth in the number of nursing home beds. In 1950, there were fewer than 9,000 nursing homes with approximately 250,000 beds (Dun- lop, 1979~. Total spending for nursing home care was just $187 million, or 1.5 percent of national health expenditures, and government paid only 10 percent of the nursing home ex- penditures (Gibson, 1979~. By 1960, there had been a 181 percent increase in total national spending on nursing home care, and govern- ment was paying approximately 22 percent of that total. Even with this expansion, the grown in beds was not sufficient to keep pace with the in- creasing numbers of elderly who needed long- term care. The U. S. General Accounting Of- fice (GAO) estimated that by the early 1960s,
THE NURSING HOME INDUSTRY the shortage of adequate nursing home beds was between 25O,OOO and 500,000 (Elliott, 1969; Spitz, 1976~.5 Thus, one of the major concerns in Congress with the passage of Medicare and Medicaid was the availability offunds for long- term care. The Development of Medicare and Medicaid During the decade following the 1965 pas- sage of Medicare and Medicaid, there was a dramatic expansion in the supply of nursing home beds and an even more dramatic esca- lation in costs. New facilities were built, and a more sophisticated set of owners emerged, including the multistate, multifacility systems or chains. These developments were largely a product of four factors: (1) the availability of funding; (2) the method of reimbursing facil- ities; (3) increasing demand; and (4) federal health and safety regulation. The Expansion of Coverage The original framers of Medicare were well aware that the inclusion of nursing home ser- vices could destroy the fiscal viability of the system, particularly if it covered the kind of long-term custodial care most nursing homes were then providing. Despite this, substantial inflation in hospital rates during the 1950s and early 1960s made it desirable to have less costly alternatives than hospitals for patient convales- cence (interview with Wilbur Cohen, personal communication, 1980; U.S. Senate Commit- tee on Finance, 1970; Vladeck, 19801. Thus, as originally conceived, Medicare covered only hospital care, but was amended to add cov- erage for convalescing patients in "extended care facilities" (ECFs). With anticipated daily costs about half those of convalescent care in a hospital, ECFs were seen as a cost-efficient form of institutional care. Although the extended care provision of Medicare was soon to haunt its framers, its impact pales beside that of another amend- ment to the Social Security Act, Title 19 or Medicaid. Medicaid attracted little attention from policymakers, and coverage of skilled nursing home care was included almost by de- fault again through vendor payments and 497 without much definition or a budgetary limit. This coverage (and the eventual extension to intermediate care as well) provided the finan- cial fuel for the further growth of the nursing home industry. With the passage of Medicare and Medi- caid, sufficient funds were available to many of the elderly for much pent-up need to be translated into demand for and utilization of nursing home care. It was not, however, only the infirm aged residing in the community who came to demand nursing home care. Nursing home care also emerged as a substitute for housing (and some care or supervision) pre- viously provided to many of the elderly in other settings, particularly mental institutions (Dun- lop, 1979; Manard et al., 1975; V-ladeck, 1980; Scanlon and Feder, 1984; Barrington and Grant, 1985~. One observer estimated that 25 percent of the increase in nursing home uti- lization between 1960 and 1970 can be attrib- uted to the deinstitutionalization or diversion of individuals from mental institutions into nursing homes (Morton Research Company, 1982). Consumers of care and their families had a multitude of reasons for choosing nursing homes over other forms of institutional care. But it was also in the interest of the states and lo- calities. In these other settings, most of the costs were borne by state and local govern- ments, while transfer to a nursing home usu- ally meant the state could collect the federal matching hinds for the care of these individ- uals in nursing homes under the Medicaid pro- gram. As a result of these diverse factors, including reductions in hospital lengths of stay, the percentage of elderly persons in nursing homes rose 58 percent in the decade between 1950 and 1960 and 107 percent between 1960 and 1970. A combination of factors, therefore, fueled the demand for and utilization of nursing home beds. Increased but unevenly distributed ex- penditures under Kerr-Mills led to significant grown, but it was the passage of Medicare and Medicaid in the mid-1970s, in conjunction with demographic trends, that led to substan- tially extended demand by the elderly for nursing home care. From the viewpoint of po- tential providers, expansion was a result not only of increased demand, but also the in
498 creased availability of public reimbursement and the attractiveness of the rates set up under these new programs, a result of the policy- makers' desire to assure substantial provider participation. While they expanded eligibility, Medicare and Medicaid could accomplish little if too few individuals and organizations were willing to provide services to program bene- ficiaries. To attract providers to the program- and increase the supply of nursing home beds- the federal government pursued two basic pol- icies, one related to reimbursement and an- other to regulation. Increased Reimbursement Rates. First, Medicare adopted a cost-based reimburse- ment policy very similar to that it employed for hospitals. Providers were basically reim- bursed for their reported costs. The formula placed no ceiling on reimbursement rates, and variations in reported costs between providers were ignored. In addition, the program pro- vided proprietary nursing homes a "profit" based on their net invested equity in the fa- cility. Finally, the American Hospital Associ- ation (AMA) lobbyed effectively for Medicare to reimburse hospitals for mortgage interest as well as depreciation of capital equipment, including the facility. This was extended to nursing home reimbursement. As a result, investors were virtually assured of covering their mortgage payments-and having a pos- itive cash flow (from depreciation) as well in the first years of the mortgage through the Medicare program. They were also virtually assured of having their costs covered as well as receiving in effect a guaranteed profit (Shul- man and Galanter, 1976; Vladeck, 1980; Ohio Nursing Home Commission, 1979; Washing- ton Senate, 1978~. Lenient Regulatory Posture. Medicare also adopted a policy of easing nursing homes' en- trance into the program. Although enacting mandatory minimum health and safety regu- lations for facilities participating in Medicare, the federal government estimated that few fa- cilities could actually meet even the minimum standards. Consequently, granted nursing homes were given participatory status in Med- icare and Medicaid if they were in "substan- tial" (rather than full) compliance with the new FOR-PROFIT ENTERPRISE IN HEALTH CARE federal minimum health and safety standards. The homes simply had to present to the survey and certification agency a plan for correcting their violations in order to be certified and receive payments. This lenient regulatory posture, combined with open-ended, full-cost reimbursement, a guaranteed profit factor, and interest plus de- preciation for capital reimbursement in a pro- gram financially supported by the federal government, made investment in nursing homes very attractive. In addition, govern- ment fielding and the aging of the population ensured the industry of a ready supply of cus- tomers. Thus, government policies eliminated much ofthe risk generally associated with most investments and nearly all new ventures while promising substantial profits to those with the knowledge and ability to manipulate the sys- tem. As a result, in less than a decade the industry expanded its total supply of beds from approximately 460,000 (in 1965) to more than 1.1 million beds (by 1973) an increase of 139 percent in less than a decade.6 Expenditures grew even more rapidly. In 1950, total expenditures for nursing home care were less than $190 million, with government paying only 10 percent of that total. By 1960, government paid 22 percent of a total of $526 million. By 1965, just before the onset of Med- icare and Medicaid, expenditures totaled $1.328 billion, an increase in just 5 years of 153 per- cent. Between 1960 and 1974, expenditures on nursing home care grew approximately 1400 percent (U.S. Senate Special Committee on Aging, 1974~. By 1978, the nation spent $15.8 billion on nursing homes, with government paying 53 percent of the total (Gibson, 1979~. And by 1982, expenditures for nursing home care exceeded $27 billion annually with gov- ernment paying nearly 55 percent of the total (GAO, 1983b). In 1984, expenditures on nurs- ing home care exceeded $32 billion with gov- ernment paying 49 percent (Levis et al., 1985~. The Emergence of Nursing Home Chains At the same time that the industry was grow- ing and expenditures were skyrocketing, the pattern of ownership and control in the in- dustry was undergoing a significant change. Unlike the hospital sector, the proprietary
THE NURSING HOME INDUSTRY nursing home firms industry has been preva- lent and growing since the 1930s. The trend away from government and nonprofit facilities accelerated. In 1969, 64.5 percent of all nurs- ing home beds were in proprietary facilities. By 1980, 81 percent of all the facilities and 69 percent of the beds were proprietary. During the same period, the proportion of beds in nonprofit facilities decreased from 25.8 per- cent to 22. 7 percent, with government owning only 8 percent (U. S. National Center for Health Statistics, 1984~. But the most significant de- velopment in the immediate post-Medicare period was the development of proprietary corporate nursing home chains. In 1966, only a handful of firms owning nursing homes were registered with the Securities and Exchange Commission (SEC). By 1969, that number had expanded to 58 and by 1970 had reached nearly 90 (Spitz, 1976~.7 The post-Medicare need for capital was enormous because of the demand for new beds. New nursing home construction was needed to cope with existing bed shortages as well as to replace obsolete facilities that were often converted mansions, farmhouses, hotels, and motels. One way to secure capital for nursing home expansion was borrowing. Some owners calculated that once they had enough for a down payment on their first home (with in- terest and depreciation as part of the govern- ment reimbursement rate), government revenues could be expected to cover the cost of a first mortgage. The same was true for sec- ond-, third-, and even fourth-position mort- gages. With few fiscal controls, the program provided virtually open-ended reimburse- ment for Medicare patients. Moreover, the owners could use the capital generated by these additional mortgages for whatever purposes they chose. Many used them to pyramid their nursing home holdings. With Medicaid, sim- ilar opportunities existed in the states through both reimbursement systems modeled on Medicare and through "flat-rate" systems. Un- der the latter methods, nursing home owners received a set fee for each Medicaid patient day regardless of what they actually spent on patient care. Many owners used part of these fiends to purchase new facilities, pyra- miding their acquisitions on current holdings. Publicly held nursing home chains had even 499 more options for financing new growth. Going public with the sale of stock was an alternative to borrowing. In addition, a public market for a company's stock enhances its ability to attract borrowed funds, since the stock can be offered as collateral to secure loans. As it turned out, the stock market proved to be a very successful new source of capital for the nursing home industry. In 1969 alone, 40 nursing home cor- porations sold stock worth $340 million. During the late 1960s, the "Fevered Fifty," corporations owning or planning to own nurs- ing homes, emerged as the "hottest" stocks on the market. In a 1969 article in Barron's, I. Richard Elliott, Jr. (1969) explained the phe- nomenon: Of late . . . fal kind of frenzy seems to grip the stock market at the merest mention of those magic words: "convalescent care," "extended care," "continued care." All euphemisms for the services provided by nursing homes, they stand for the hottest invest- ment around today. Companies never before near a hospital zone from builders like IlTs Sheraton Corporation, National Environment, and Ramada Inns, to Sayre and Fisher . . . have been hanging on the industry's door. "Nobody, a new-issue un- derwriter said the other day, "can lose money in this business. There's just no way." Even while the industry was telling state legislatures that it faced bankruptcy if Medi- caid rates were not dramatically increased, some nursing home owners were promoting them- selves on Wall Street as the most profitable investment around. According to stock pro- spectuses issued by some publicly held chains, the guaranteed government revenue and the growing number of elderly combined to pro- duce an expected return on investment of at least 20 to 25 percent per year. These potential profits for the parent corporations were to be further augmented by the development of sub- sidiaries that would sell ancillary goods and services to the nursing homes such as phar- maceuticals, food service, laundry, manage- ment, real estate development, and construction. The reported puce/ean~ings ra- tios of the new nursing home chains were as much as 40 times that of blue chip stocks. For instance, in 1969 the pricelearnings multiple for Bernard Bergman's Medic-Home chain was 179; for Unicare, another major nursing home chain, the multiple was 700 (Elliott, 1969~.
500 The boom in nursing home stocks, however, was relatively brief, and the bust was spectac- ular. By 1971-1972, the stock prices had fallen far below their high marks of 1969. ^Medicen- ters of America, whose price per share had reached almost $60 during the late 1960s, was selling at less than $4 by the mid-1970s. And the same decline was true for all the chains. Four Seasons Nursing Centers, certainly the most publicized of the chains and the first to list its shares on a major exchange, started out as a housing construction company. Its stock ran up to nearly $100 per share in 1969. By 1970, when the SEC suspended trading, it was selling for 6¢ per share. The bankruptcy of Four Seasons was a result of massive fraud, with the president, partners of the corporation's accounting firm, ancl two officers of a brokerage firm indicted for secu- rities violations. This stock fraud was one factor in cooling off the market for nursing home stocks. Continuing scandals about poor care and patient abuse also dampened investors' enthusiasm. But perhaps the most important factor involved a serious miscalculation about the role of Medicare in paying for nursing home care. A surprising number ofthe new nursing home entrepreneurs, like many of their investors and an unhappy number of Social Security recip- ients, initially assumed that Medicare and its unlimited, cost-plus reimbursement system would finance most of Me nursing home care of the nation's elderly. In fact, given the orig- inal Medicare limitations and further restric- tions on eligibility and coverage introduced during the Nixon administration, Medicare paid for relatively little of the nation's expenditures on nursing home care. Table 2 illustrates the actual funding pattern that has emerged. The predominantly extended-care (or sub- acute care) market funded by Medicare, which was anticipated by the nursing home entre- preneurs, never materialized. The mainstay of the nursing home market proved to be the long-stay resident-an individual suffering from chronic rather than acute diseases and disa- bilities, unable to pay for her or his own care, and unable to qualify for Medicare coverage. And Medicaid was not as uniformly generous a payer as Medicare.8 Despite this, it was the Medicaid program FOR-PROFIT ENTERPRISE IN HEALTH CARE TABLE 2 Nursing Home Expenditures by Payer (percentage) Payer 1981 1982 1983 1984 Medicare Medicaid Other government Private insurance Out-of-pocket 1.7 1.9 49.8 45.8 4.6 4.5 0.8 1.0 43.2 46.0 1.7 1.9 44.2 43.4 4.1 4.0 0.7 0.9 48.3 49.4 SOURCE: Waldo and Gibson, 1982; Levit et al., 1985. that removed the lid from expenditures on vendor payments to nursing homes. The initial legislation basically left the decision on how to reimburse nursing homes almost entirely to the states. Some provided generous rates un- ~ler cost-based systems similar to the Medicare payment program; others provided a fixed (or "flat") rate for all facilities. Such fixed rates were independent of actual nursing homes' costs, differences in the severity of patient case mix, and quality of care. In general, however, Medicaid rates, tied to state welfare programs, were lower than Medicare rates. Yet Medicaid was an open-ended program, paying for the care of all eligible program beneficiaries, and its eligibility. The limitations on Medicare coverage, ret- roactive claim denials, and payment and eli- gibility limitations imposed by most Medicaid programs made the nursing home industry less attractive financially. In addition, after the rapid expansion in bed supply during the initial in- vestment euphoria, many nursing home beds were empty by the early 1970s, further con- tributing to some homes' financial difficulties. During this period, many nursing homes sur- vived and prospered by either lowering ex- penditures (often by cutting back on food and staffing) or by engaging in real estate manip- ulations (see Ohio Nursing Home Commis- sion, 1979; New York State Moreland Act Commission, 1975; and Shulman and Galan- ter, 1976~. The effects of this situation were varied. First, conditions in nursing homes continued to be a cause of concern for consumers and policy
THE NURSING HOME INDUSTRY makers. Many attributed seriously substan- dard care not only to the failure of the regulatory system but also to the incentives inherent in many Medicaid reimbursement policies, par- ticularly "flat-rate" systems (U. S. Senate Com- mittee on Finance, 1912~. Second, the trafficking in nursing home real estate that is, the sale and resale of nursing homes as well as inflated lease and rental charges arti- ficially increased the cost of providing care. Nursing home chains slowed their rate of growth. From 1969 through the mid-1970s, the market share of the major multistate nurs- ing home chains remained relatively stable. Policy changes in the 1970s, however, would significantly alter the structure of the industry. In summary, four factors led to the creation of a nursing home sector and its expansion between 1930 and 1970: (1) increased demand resulting from shifts in mortality and morbid- ity, as well as the substitution of care in nurs- ing homes for housing that had been provided to the elderly in other institutional settings, such as almshouses, poor farms, and mental hospitals); (2) increased funds available to pay for such care through government programs such as OAA and Social Security payments, Kerr-Mills, and finally :\Iedicare and Medi- caid; (3) favorable reimbursement rates and payments made directly to the vendors of nursing home services; and (4) a lenient reg- ulatory posture toward nursing homes. PUBLIC POLICY CHANGES AND THE GROWTH OF NURSING HOME CHAINS: THE 1970s AND 1980s The dominant trend in the nursing home industry during the 1970s and 1980s has been increasing concentration and corporatization of ownership. This transformation has been stimulated by changes in reimbursement and regulatory policy, health planning restrictions on bed supply, easier access for "chains" to expansion capital, and tax policies. Between 1982 and 1983, the 25-30 largest chains in- creased their control of total beds by another 15 percent. Although the holdings of chains remained relatively stable during the early 1970s, the late 1970s brought about a spate of merger and acquisition activities. Between 1972 and 1980, with most of the activity occurring 501 after 1976, the three leading chains dramati- cally increased their control of nursing home beds and facilities. Beverly Enterprises in- creased its facilities by 600 percent, ARA its holdings by approximately 250 percent, and Hillhaven by 200 percent. This growth pattern far outdistanced the growth rate in the total number of nursing home beds and facilities, which was only 18 percent during the same period. The Modern Healthcare annual sur- veys of multifacility systems show that be- tween 1979 and 1982, the major investor-owned chains increased the proportion of all nursing home beds they controlled by 50 percent. Some observers, including leaders of some of the major chains, predict that within the next 5 years, half of all nursing homes will be operated by proprietary chains, with the ma- jority controlled by Me 5 to 10 largest chains (LaVioleKe, 1983~. Certainly, the growth rate of the largest chains has been spectacular (Ta- bles 3 and 4~. In 1973, the three largest chains owned only 2.2 percent of the beds. By 1980, the three largest chains controlled 6.4 percent of the beds nationwide, and by 1982, Beverly, ARA, ancl Hillhaven owned, leased, or man- aged 9.6 percent of all nursing home beds, a 2-year increase of 54 percent. This picture of increased concentration, however, is somewhat misleading. The three largest chains have substantially increased their holdings largely through acquisition of small- to-medium chains, rather than through the purchase of individual facilities. Thus, this in- creased concentration does not represent a substantial increase in the control of total beds by the chains. It simply reflects the very larg- est chains' purchase of or merger with other large-to-medium multifacility systems. De- spite the major increases in holdings by firms such as Beverly, the industry remains fairly fragmented, largely controlled by individual owners and small (5- to 20-facility) local and regional chains. Further, the rate of growth of the largest chains could be somewhat slowed as the number of medium-sized chains that can be efficiently acquired diminishes.9 Despite misperceptions about current lev- els of concentration, policymakers should fo- cus attention on the industry's changing structure. Although the chains do not control an enormous proportion of nursing homes na
502 FOR-PROFIT ENTERPRISE IN HEALTH CARE TABLE 3 Nursing Home System Ownership, 1972 Name of Chain Number of Number of Facilities Beds 79 77 70 60 56 47 44 44 43 41 41 38 36 30 29 28 27 26 23 20 20 20 National Health Enterprises Unicare First Healthcare Corporationa Hillhavena Leisure Lodgesb Beverly Enterpnsesb CENCO American Medical International National Living CentersC Extendicare~ GeriatricsC Americanae Monterey Life Systems Continental Care Centers Medicentersa Care Management Anta/Four Seasons Medic-Homes f National Health Services American Medical AlEliates Aid, Inc. Care Corp. 10,551 6,481 8,425 5,861 5,264 5,670 4,409 3,582 4,400 5,045 4,394 3,440 3,598 3,286 5,101 1,690 4,200 3,105 2,590 1,979 2,494 2,494 aFirst Healthcare facilities were acquired by CNA and later sold to Hillhaven; Hillhaven also acquired Medicenters (1977). bIn 1976, Stephens Inc. became the sole owner of Leisure Lodges, and in 1977, through a complex series of exchanges, Stephens Inc. and Beverly facilities were merged. CARA owns both National Living Centers (1973) and Geriatrics (1974). ~Extendicare changed its name to Humana and sold its nursing homes to National Health Enterprises (1973). Americana was acquired by CENCO (1972-1973). fMedic-Home was involved in violations of Securities and Exchange Commis- sion regulations and was eventually split. Two of the main components of this chain were PMG and Liberty [Nursing Homes. tionwicle, chains have achieved very signifi- cant market penetration in some areas of the country. In some regions of the country, the four largest nursing home operators already control between 60 and 100 percent of bed capacity. In Texas, for example, Beverly and ADA alone control nearly 25 percent of the beds, dominating many geographic areas of the state. The U. S. Department of Justice has been concerned about some ofthe merger and acquisition activity of the major chains. In Jan- uary 1984, for example, it filed suit to block Beverly's plan to acquire Southern Medical Services, arguing that this acquisition would "substantially lessen" competition in four ma- jor markets in which Beverly would control between 29 and 48 percent ofthe total licensed nursing home bed capacity. Further, the ma- jor chains' predictions about their growth and increased concentration may well be accurate. The concerns many observers feel about such concentration is not only that it lessens com- petition but that it also substantially reduces the ability of the regulatory agencies to control the behavior of We highly concentrated pro- viders. Several factors have contributed to the con- centration of nursing home ownership. First,
THE NURSING HOME INDUSTRY TABLE 4 Nursing Home System Ownership, 1983 Name of Chain Number of Number Facilities of Beds Beverly Enterprises 810 90,670 ARA 260 30,197 Hillhavena 253 30,978 Manor Health Careb 102 13,520 UnicareC 97 11,520 Care Enterpnses ~79 8,234 Angell Group 76 8,129 National Health Corporationa 48 5,612 Southern Medical Services 43 5,016 Care Corporation 41 5,343 ANTAIFour Seasonsb 40 5,249 Health Care Retirement 39 3,956 Summit Care Corporation 35 4,359 Unifour Medical Management 24 3,182 Americare 21 2,267 Mendian Healthcare 18 2,708 Amencan Medical Services 17 2,748 Van-Care 17 1,689 National Health Care Affiliates 14 2,064 Convalescent Services 14 1,737 Amencan Healthcare Systems 12 1,416 aHillhaven/NME acquires IDAK and 16.4 percent of National Health Cor poration during 1983-1984~; Hillhaven plans to acquire at least 25 percent of National Health Corporation. bManor Health Care begins the acquisition of ANTA's subsidiary, Four Seasons Nursing Centers. CUnicare merges with Extendicare, Ltd., which is then acquired by Crownx. scare Enterpnses acquires North Amencan The holding company for Chase Manhattan Bank acquires 6.2 percent of Care Enterprises stock. new and stricter licensing and certification standards put smaller, independent facilities out of business. Second, the increasing com- plexity of public reimbursement systems fa- vors more sophisticated owners. In addition, capital reimbursement policies encouraged trafficking in nursing homes (the sale and re- sale of facilities) and other real estate manip- ulations that also favor more sophisticated operators. Third, there is a strong and increas- ing demand for nursing home and other forms of long-term care. Fourth, nursing home in- vestment is profitable, making expansion an attractive alternative for investors. Fifth, at- tempts to contain spiraling nursing home costs, particularly in the Medicaid program, have led states to restrict the supply of beds, encour- aging acquisitions rather than new construc 503 tion for firms that wish to expand. Sixth, acquisitions are easier for large, investor-owned firms, particularly the publicly held ones, be- cause they have better access to financial mar- kets. Seventh, tax policies adopted during the Reagan administration, as well as its position on anti-trust, have encouraged mergers. Changes in Regulatory Policy During the early 1970s, the recurrent scan- dals about nursing home conditions and pa- tient abuse that erupted periodically in newspapers and legislative committee hear- ings, combined with the too frequent tragedies of nursing home fires, led to some changes in regulatory and reimbursement policy, partic- ularly in 1972 amendments to the Social Se
504 curitv Act. During the mid-to-late 1970s, states became more stringent about requiring nurs- ing home compliance with federal standards. particularly the 1967 Life Safety Code (LSC), which in 1974 was extended to cover inter- mediate as well as skilled facilities.~° Many states also went beyond the minimum federal stan- dards by implementing stricter licensing re- quirements. The imposition of strict building and fire safety code regulations-and the enforcement of these standards meant the eventual de- mise of most of the "mom and pop" facilities that were still operating out of old converted homes, farm houses, motels, and hotels. By and large, these were relatively small facilities with fewer than 50 beds and usually fewer than 2o beds. The cost of converting such homes into the more modern, fire-resistant structures required by federal and often state laws was too high for many of these operators. Many such homes went out of business or converted again (e.g., into boarding homes for the mentally retarded). For example, after a decade of leading the nation in nursing home fire deaths, Ohio adopted a sprinkler require- ment as part of the state fire code for nursing homes. Largely as a result, 102 nursing homes went out ofthe business between January 1975 and March 1978. Of these homes, nearly 20 percent had fewer than 12 beds, and only 12 percent had more than 50 beds. These nursing home beds were replaced by newer and larger facilities, predominantly by homes that are part of chains (Ohio Nursing Home Commission, 1979~. This was a pattern common to many states. For example, the Washington Senate Select Committee on Nursing Homes docu- mented a 14 percent decline in the number of licensed facilities during the 1965-1975 period. However, the number of licensed nursing home beds increased by nearly 32 percent during this same period (Washington Senate, 19781. This pattern of small, individually owned nursing homes closing was repeated through- out the nation. Between 1969 and 1980, the number of nursing home beds in the nation increased by more than 73 percent, but facil- ities with fewer than 50 beds declined by 21.7 percent. The growth was primarily in larger facilities, with 100 or more beds (Harrington and Grant, 1985~. Over 6,000 nursing homes, , ~C7 FOR-PROFIT ENTERPRISE IN HEALTH CARE nearly 28 percent of the total facilities, closed between 1971 and 1976. During this same pe- riod, 4,800 new (and larger) nursing homes opened. As a result, the average size of nursing homes grew, from 54.5 to 68.9 beds (Sirrocco, 19831. Through enforcement of building and fire safety standards, government policy contrib- uted to the demise of the "mom and pop" nursing home. However, the nursing home chains, particularly those that sold stock on the open market, had entered the business with Medicare, and most oftheir facilities were newly built. So, enforcement of new building and fire safety code standards did not represent a se- rious problem for most of them. Indeed, en- forcement of these standards helped the chains by eliminating some competitors (closing from 10 to 20 percent of the homes from state to state) and giving them an opportunity to con- struct new, larger facilities. This regulatory strategy also relieved some of the pressure for regulatory reform and for enforcement of stronger health and welfare standards that might have been more trouble- some to the chains. States tended to concen- trate on the easily measured physical plant aspects of nursing home standards. The more subjective and difficult problem of assuring that the quality of care provided to patients was acceptable received much less attention. In short, the concentration of regulatory atten- tion and efforts on the physical plant aspect of nursing homes focused regulatory energy largely on the "mom and pop" facilities, while the figures on nursing home closings gave the appearance that regulatory agencies were "cleaning up the mess" in long-term care. The more general problems of quality of life and care that existed in chain-owned and individ- ually owned facilities, including the "mom and pop" operations, received relatively little reg- ulatory attention. Thus, the nursing home chains, particularly those that were publicly held, suffered little from the new but limited regulatory stance of government. Changes in Reimbursement Policy There were a variety of reimbursement sys- tems in effect during the first 15 years of the Medicare and Medicaid programs, and few
THE NURSING HOME lNDUS TRY states had identical methodologies. Large chains became very skilled in manipulating each sys tem so as to maximize their income and growth, but most independent owners lacked such so phistication. In addition, as noted, the chains concentrated their initial efforts on participa tion in Medicare, and they become especially skilled at manipulating NIedicare's retrospec tive reimbursement system and state systems modeled on Medicare. Medicare's reimbursement system, along with similar Medicaid reimbursement poli cies, paid nursing homes nearly all of the costs the homes reported they incurred in caring for program beneficiaries, plus a profit factor. At best, these systems gave operators few incen tives to purchase efficiently. At worst, such systems encouraged fraud, abuse, and manip ulation of loopholes that increased costs with out necessarily improving patient care or quality of life. Since homes were guaranteed reim bursement of their costs, many saw the po tential for making a profit on those costs by setting up subsidiaries that sold goods or ser vices to the nursing homes. In this way, the parent company could make a profit from the sale to their nursing homes of goods and ser vices that would be a reimbursable cost on the firms. books of the nursing homes. Thus, many of the big chains diversified, forming subsidiaries that include real estate development, con struction, management services, medical equipment, laundry, linen, food, and house keeping services (information from 10K re ports filed with the SEC by the corporations; Ohio Nursing Home Commission, 1979; Lev inson, 1984; U.S. DHEW, 1978~. Both the inspector-general of the U.S. De partment of Health, Education, and Welfares (HEW) (1978) and the GAO (1979, 1983a) studied this vertical integration and concluded that such practices drove up costs significantly, without necessarily improving services. More over, they found that it was nearly impossible to enforce Medicare and Medicaid regulations that limited the puce that owners could charge for goods and services sold to related nursing homes (non-arms-length transactions). It is particularly difficult to enforce such rules in multistate chains, where the home office is in a different state from the facilities being reg ulated and audited by the state Medicaid agen 505 cies. Even the large insurance companies that are fiscal intermediaries for Medicare experi- enced significant problems in auditing chain home offices and subsidiaries to determine whether the prices charged to the nursing homes were reasonable (GAO, 1979; U. S. DHEW, 1978~. Chains that had diversified were also better prepared for the reimbursement policy changes that came with the 1972 amendments to the Social Security Act. Because of the record of seriously substandard care that was believed to result from the rather perverse incentives inherent in the "flat-rate" payment system used by many state Medicaid programs, Congress required that nursing homes participating in the Medicaid program be reimbursed by the states on a "reasonable cost-related" basis. While this did not mean that every home would receive reimbursement for all costs, it did re- quire that homes report their costs to the state Medicaid agency. The Medicaid reimburse- ment rate would then be based on those re- ported costs considered "reasonable." Like Medicare's reimbursement system, this policy tended to favor the more sophisticated pro- viders, the multistate chains and diversified The small "mom and pop" operations had grown up under state flat-rate systems and had had no need to understand refinements such as stock-swaps, debentures, sale, and lease- back arrangements, or intercompany loans. Profitmaking under a cost-related reimburse- ment system is a good deal more complicated. The new nursing home chains, with manage- ment skilled in the manipulation of :Medicare's system, the intricacies of cost reporting, and the benefits of and organization to make pur- chases of ancillary goods and services from re- lated suppliers, were perfectly positioned to take full advantage of these new Medicaid reimbursement policies. Capital reimbursement policies under Med- icare and most Medicaid programs also favored acquisition activity. First, Medicare and most of the state Medicaid programs reimbursed nursing homes for mortgage interest and de- oreciation.l~ This made many individual own- ers willing to sell and made it financially feasible for the chains to debt-finance many of their acquisitions. Second, tax policy favors sales and r
506 acquisitions. Owners experience declining tax deductions as their facilities age. In addition, capital gains Profits from the sale of buildings and equipment) are taxed at a lower rate than income from owning and operating the facility. Thus, individual owners are often willing to sell facilities. Finally, purchasers find acqui- sition attractive under many state plans and under Medicare reimbursement policies, since they can usually revalue the capital asset (ba- sically the facility) following acquisition. This has meant that most reimbursement systems have treated the purchase price as the value of the facility and reimburses depreciation ex- penses accordingly. This, combined with full payment for the mortgage interest, makes gov- ernment the primary payer for nursing home acquisitions and significantly reduces the risk for the acquirer. Prospective payment systems, the most re- cent attempt to solve the continuing problem of escalating health care costs, remove many of the profitable features just discussed. Such systems do not eliminate the possibility of healthy profits, but they do require manage- ment skilled in planning and cost control. As Montgomery Securities observes, "Logic sug- gests that a prospective payment system should be favorable for efficient and large operators who benefit from economies of scale" (Mont- gomery Securities, 1983~. In addition, chains that operate in several states often have the advantage of familiarity with such systems in one or more states and can efficiently adapt to its introduction in other states. Finally, while these policies may have achieved their pur- pose of containing (at least in part) escalating costs, any reduction of operating revenues available for direct patient care makes invest- ment less attractive to nonprofits (Ohio Nurs- ing Home Commission, 19791. Strong Demand for Long-Term Care The strong and growing demand for long- term care services is also attracting corporate owners to the business of providing nursing home care. Several factors contribute to this: demographic trends; decreased availability of family support and a shift from private resi- dences to nursing homes; and the substitution of nursing home care for acute care hospitals FOR-PROFIT ENTERPRISE lN HEALTH CARE as a result of changes in Medicare policies. Each of these factors is expected to contribute significantly to a demand for nursing home expansion. Although experts disagree about the mag- nitude of likely growth in the aged population, they agree that it will be significant during the next 50 years. Moreover, they agree that the growth rate will be most dramatic for age groups of 75 years and older, the segment of the pop- ulation most likely to need nursing home care. Under current utilization patterns, 5 percent of the elderly reside in a nursing home on any given day, but at some time during their lives, 20 percent of the elderly will be in a nursing home (Palmore, 1976; Kastenbaum and Candy, 1973~. If this utilization pattern continues, the aging of the population alone will result in significant additional demand (Manton, 1984; Weissert, 1985; Montgomery Securities, 1983~. Additional demand may also result from shins in kinship patterns and familial relationships. 23 The number of widowed and single elderly is expected to increase within the next 15 years, and this has traditionally been a factor in in- creasing nursing home placements for He aged who have chronic physical and functional im- pairments (Weissert and Scanlon, 1983~. Fur- ther, the increased involvement of women in the labor force, of elderly women with no liv- ing children, and of aged persons with fewer children may reduce the availability of chil- dren to care for elderly parents in their homes (GAO, 1983a,b; Manton, 1984~. Montgomery Securities (1983), in advising potential nursing home investors, predicts that this combination may result in a net shift of 20 to 30 percent of the infirm elderly from private residences to institutional settings. Changes in public policy may also increase the demand for nursing home care. In the past, to qualify for Medicare coverage of care in a skilled nursing facility (SNF), an individual had to have had at least a 3-day stay in an acute care hospital prior to the transfer to a nursing home. The Tax Equity and fiscal Responsibil- ity Act of 1982 eliminated this requirement and some analysts predict that, if implemented by the U. S. Department of Health and Human Services (HTIS), this could produce a 10 per- cent increase in demand for nursing home beds (Montgomery Securities, 1983~.
THE NURSING HOME INDUSTRY A second policy change that may stimulate more use of nursing homes is Medicare's pro- spective payment system for hospitals, which seems to encourage hospitals to discharge Medicare patients as soon as medically feasi- ble. As a result, elderly individuals requiring sub-acute or convalescent care are now more likely to be transferred to a nursing home when possible, rather than being left to convalesce in the hospital. Many analysts, such as Carl Sherman, a health care industry analyst with Oppenheimer and Company, believe that this shift in hospital payment policy will be a boon for the nursing home industry (Punch, 1984~. Taking all these factors into account, Mont- gomery Securities has developed "unit growth model" for nursing homes over the next 8 to 10 years. Changing demographics and shifts from private residences to nursing homes are expected to generate an average annual in- crease In demand for nursing home care of 7.6 percent. The shift of patients out of hospitals and into nursing homes would add an expected 1.4 percent annually to demand. The substi- tution of alternative sources of long-term care (e.g., home health and adult day care) could lead to an annual 3.1 percent reduction in de- mand. On the basis of these assumptions and estimates, Montgomery Securities expects an increased demand for nursing home beds of 5.9 percent annually between 1983 and 1990. Profitability Investment analysts who are bullish on the market in "gray gold" expect continued growth in nursing home profit margins. Certainly, re- cent investment in nursing homes has paid handsomely. For instance, Beverly Enter- prises experienced stock price gains around 700 percent between 1978 and 1981, and Na- tional Health Enterprises experiences] an even more spectacular 900 percent increase (Blys- kal, 1981~. In fact, Beverly's growth in profits has far exceeded its growth in bed size. During 1981, its profits increased by 48 percent, and in 1982 by 38 percent. And Beverly was not alone. The major multistate chains responding to the survey by Modern Healthcare reported a47.7 percent increase in profits between 1982 and 1983 (Punch, 1984~. Even in "tight" reim- bursement states such as Texas (see Table 5) 507 and California, returns on equity are impres- sive.24 In California, 700 facilities had average annual returns on equity ranging from 58 per- cent to 154 percent in fiscal years 1983 and 1984 (U.S. Senate Special Committee on Ag- ing, 19841. Health Planning and Limitations on Bed Supply While the demand for long-term care ser- vices has been growing, the nursing home bed supply has not kept pace. Between 1963 and 1973, the supply of nursing home beds in- creased about 8 percent annually. But with the introduction of health planning and certificate- of-need (CON) legislation, that rate slowed. Between 1976 and 1980, the annual rate of growth in nursing home beds was only about 2.9 percent, and between 1981 and 1983, the growth rate was 1.75 percent per year. Nine states show slight losses in the total number of beds since 1981 (GAO, 1983b; Harrington and Grant, 1985~. This decline in the growth of bed supply is primarily due to two factors: restrictive health planning requirements and high construction costs.25 As Table 1 shows, during the early and mid- 1970s the supply of beds exceeded demand. As a result, many homes faced financial diffi- culties because of low occupancy rates, and the chains did not significantly expand. The imposition of health planning and CON re- quirements for new facility construction ini- tially served the interests ofthe existing nursing home industry. As a result, these new mea- sures were largely unopposed by this industry. The initial goal of CON was cost contain- ment, and state policies in the 1980s, which include strict CON requirements, explicit moratoria on nursing home bed construction, and refusal to cereal new facilities for Medi- caid participation, are designed to limit Med- icaid expenditures. Without such limits, "the total costs of nursing home care for people eligible for Medicaid support (in a nursing home) would exceed what states are willing or able to pay" (Scanlon and Feder, 1984~. How- ever, these public policies also allow nursing home operators to increase revenues through higher charges to private patients, make dis- crimination against Medicaid patients possi
508 FOR-PROFIT ENTERTRISE IN HEALTlI CARE TABLE 5 Industry Average Profits per Facility in Texas (percentage) 1978197919801981 Before tax profit marginsa All facilities 18.104.22.168.8 For-profits 6.o22.214.171.124 (4. 2)b(5. 4)(5. 8)(4. 9) lKot-for-profits -0.6- 3.3- 0.2- 1.8 Return on equity Before tax 37.5126.96.36.199 All facilities 25.028.234.128.8 For-profits 37.5188.8.131.52 (24.4)(30.0)(32.6)(31.8) Not-for-profits -1.6- 6.4- 0.4- 3.8 aAs a percent of total revenues. bFigures in parentheses represent aPcer-tax profits. SOURCE: Moden, 1982. ble, and encourage the concentration of ownership by creating incentives for firms to expand through acquisitions. The average occupancy rate in nursing homes nationwide is at least 95 percent, and many facilities, particularly the better ones, have long waiting lists. This situation places the industry in a favorable position, given the limited avail- ability of alternatives to nursing home care. First, occupancy rates are strongly and di- rectly related to profitability. Second, tight supply allows nursing homes to select or "cream" from the queue of individuals seeking placement. By and large, facilities discrimi- nate against "heaw-care" patients who require substantial hands-on care and against :\ledi- caid patients in favor of the more lucrative ~. . . private-pay patients (U.S. Senate Special committee on Aging, 1984; Ohio Nursing Home Commission, 1979; Minnesota Senate and House, 1976~. Engaging in these practices increases a home's likelihood of achieving sub- stantial profits. While these factors have made nursing home investment financially attractive, CON and similar regulations generally prevent new con- struction. Combined with high capital and construction costs, health planning policies thus encourage expansion through acquisition rather than new construction (Kuntz, 1981a; Punch, 19841. So, while several chains have plans to begin new construction, their rate of expan- sion through construction does not nearly ap- proach their rate of growth through acquisition. Access to Capital The scarcity of capital for expansion, im- provement, or modernization makes it difficult for the small operator to compete with the larger chains and tends to encourage further consolidation of ownership. Single, indepen- dently owned facilities may continue to be ab- sorbed by small chains which may in turn be acquired by larger chains. The scale of op- erations, management sophistication, and abil- ity to sell stock give the larger, multifacilitY chains a significant advantage in the capital market (LaViolette, 1982; Birney, 1981; Val- iante, 1984~. Since significant expansion of the industry is predicted and will be needed by an aging population, the large, proprietary firms are in the best position to take advantage of these new opportunities and to expand their hold- ings. Without a significant change in public policies (such as restricting use of low-interest industrial revenue bonds), the predominant pattern is likely to be future expansion and increased acquisition by the leading chains.
THE NURSING HOME INDUSTRY Tax Policies and a Loosening of Merger Rules The structure and growth ofthe nursing home industry have also been affected by tax and anti-trust merger policies that were not spe- cifically directed at nursing homes. Two sig- nificant sources of return to nursing home investors are largely dependent on the struc- ture of the tax code. For example, there are tax savings resulting from rules on deprecia- tion and aPcer-tax capital gains. As real estate investments, nursing homes are not subject to the standard limitation on deductions, an ad- vantage for a highly leveraged (low equity) in- dustry like nursing homes. In addition, many nursing homes are organized as both an op- erating corporation and as a real estate part- nersh~p, with a lease or management contract between the two formal corporate entities (Shulman and Galanter, 1976; Baldwin and Bishop, 1983~. This arrangement allows the partners to take depreciation and interest de- ductions against their personal income. Thus, there are substantial tax advar~tages to nursing home ownership. These and other tax advantages accrue more to investors in high tax brackets than to non- pro~t entities26 or the original "mom and pop" investors. This influences who is most inter- ested in purchasing any asset, including nurs- ing homes. As Baldwin and Bishop (1983) observe, To an investor whose marginal tax bracket (including federal and state taxes) is 50 percent or greater, a dollar of deduction is worth as much or more than a dollar of revenue. For tax-exempt investors . . . a dollar of revenue is worth a hill dollar, but tax deductions are worthless. Thus, the effect of such tax policies is to make nursing home investment more attractive to higb-tax-bracket entities than to nonprofit firms and low-bracket investors. Baldwin and Bishop (1983) argue, If Me supply of investment opportunities is ret stncted, . . . then a natural "investor clientele" for nursing homes lies in the high tax brackets. It is not surprising, in light of these results, that "mom and pop" owner-operators of nursing homes have found any profitable opportunities for expansion of nursing home capacity snapped up by more wealthy cor 509 porate and private investors. In like manner, a non- proSt organization will find that, if a potential investment is worthwhile on a present value net flow equivalent basis . . . then it would be even snore worthwhile to for-profit owners. Several other tax policies contribute to the trend toward a new ownership structure. First, individuals or firms that have owned a nursing home for a long time find that the tax advan- tages of depreciation and the positive cash flow from Medicare and Medicaid reimbursement for depreciation have substantially declined, creating an incentive to sell. Thus, for long- time owners, such as the "mom and pop" op- erators, the incentive is to sell. In essence, as Baldwin and Bishop (1983) argue, public pol- icy may also have had the unforeseen side ef- fect of making ownership of homes attractive "only to certain high bracket individual and corporate investors." Other policies, such as the investment tax credit (ITC) and the accelerated depreciation (ACRS) provisions of the Economic Recovery Tax Act (ERTA) of 1981, for instance, provided tax incentives for corporations to increase their investment in new plant and equipment and to increase productivity (Congressional Quar- terly Almanac, 1981, pp. 92-939. EIowever, in the nursing home sector (as in others) these provisions of the tax code seem also to have induced more economic concentration by making a firm worth more to an acquirer than to its stockholders (Trautman, 1984~.~7 Cer- tainly, there was a boom in nursing home mergers and acquisitions following passage of ERTA. For Beverly Enterprises, Unicare, Hillhaven, and ANTA, for instance, 1981-1982 was a time of substantial growth, and during that period, 11 of the 25 largest chains merged with or were acquired by other chains.78 While the federal tax code was encouraging mergers and acquisitions, the Department of Justice announced a liberalization of its reg- ulations on mergers. It began to use a new method of measuring industrial concentration and developed more lenient rules regarding horizontal integration. In addition, Justice is- sued guidelines under which conglomerate mergers between companies with a customer- supplier relationship will have fewer prob- lems. Thus, nursing home chains experienced fewer restrictions on either vertical or hori
510 zontal growth and at the same time were bene- ficiaries of tax policy changes that encouraged such growth. SUMMARY Many factors, including a rapidly aging pop- ulation and the availability of public assistance in paying for such care, have contributed to the growth of the nursing home sector. As shown, Medicare and some Medicaid systems seem to have provided nursing home investors with overly generous compensation, especially during the early years of these programs. At the least, by paying for the cost of care, as well as interest, depreciation, and an essentially guaranteed return on equity, public reim- bursement systems made nursing home in- vestment extremely attractive. The result was a rapid flow of capital into this sector. Three public policy changes during the early 1970s helped eliminate the excess supply of nursing home beds and make investment in the nursing home sector even more attractive. To a large degree these developments favored the larger, multifacility proprietary firms the chains. The expansion of coverage to individ- uals needing intermediate care spurred in- creased demand.~9 At the same time the extension of the LSC to those facilities pro- viding intermediate care eliminated many of the original "mom and pop" investors who owned relatively small facilities that could not be profitably operated if upgraded to meet LSC requirements. In addition, many of these small operators lacked the same kind of access to capital for renovation or new construction as publicly held and larger multifacility firms. Fi- nally, the imposition of health planning, and other limits on bed supply have encouraged acquisitions rather than new construction for investors that wish to expand their nursing home holdings. Medicaid (and to a lesser extent, Medicare) reimbursement for interest and depreciation made nursing home investment attractive Tom a real estate viewpoint, and this was aug- mented by the tax advantages from deprecia- tion and Tom capital gains rules. Thus, high interest rates and construction costs, CON and moratoriums on new nursing home construc- tion, the availability of capital for the larger FOR-PROFIT ENTERPRISE IN HEALTH CARE operations (particularly Me chains), arid tax arid reimbursement policies were part of a con- stellation of factors that contributed to a cli- mate favoring mergers and acquisitions. As Baldwin and Bishop (1983) argue, It is no surprise that the new investors were not the small owner-operators who had built nursing home capacity and provided care since the mid-1930s; nor were the owners of new capacity the charitable en- terpnses that had also been active in providing care in the past. Instead, they were for-profit corpora- dons and partnerships Mat could benefit Tom Me cash flow, tax savings, and capital gains on real estate transactions. THE IMPACT OF OWNERSHIP ON COST, QUALllY, AND ACCESS Nearly 20 years have passed since Medicare and Medicaid began disgorging first millions and now billions of dollars a year for nursing home care. During that time, health and safety regulations governing nursing homes have been developed at both the state and federal level, and the industry has become dominated by investors who seem to be increasingly sophis- ticated businessmen. Despite these develop- ments, quality of care and quality of life for residents in the nation's nursing homes con- tinue to be problems. Quality varies from ex- cellent to seriously substandard. In addition, long-tern care is beset by escalating costs and serious access problems for the elderly poor and those who require a substantial amount of exceptionally skilled care or extensive "hands- on" care (U.S. Senate Special Committee on Aging, 19841. This section examines the various argu- ments, assertions, and hypotheses about the impact of ownership type on cost, quality, and access, using available empirical studies and analyses of state regulatory agency reports to examine the effect of ownership structure on nursing home performance. The Impact of Ownership Type on Quality Questions about the impact of nursing home ownership on service delivery have provoked considerable theoretical speculation as well as some empirical research (e.g., Bishop, 1980;
THE NURSING HOME INDUSTRY Weisbrod and Schlesinger, 19831. In general, the view is that whether a nursing home is owned and operated by a proprietary or non- profit organization will affect not only the cost and quality of care but also whether or not it is equally available to all persons needing such care. The issue has taken on new urgency in the minds of many observers and policymakers with the growth of the for-profit sector in long- term care, particularly with the emergence and growing presence of nursing home chains. Debates about the impact of ownership type on the performance of nursing homes are often tied to arguments about the alleged benefits and shortcomings of private versus public ownership in health care generally. Critics of proprietary ownership generally speculate on the potential negative effects associated with the goal of profit maximization. They argue that a fundamental conflict may exist between the primary purpose of a proprietary busi- ness- to show a profit-and the provision of high-quality care. Since nursing home patients are typically so vulnerable physically and men- tally and become impoverished in paying for nursing home care, most observers agree that patients are often unable to protect their own interests in the nursing home.20 Thus, critics fear that in a conflict between achieving a profit and providing high-quality care, the care of the patient is likely to suffer (Butler, 1976; Fottler et al., 1981; Beattie and Bullock, 1964; AFL-CIO, 1977~. Many social theorists have argued that a community of nonprofit service providers is more desirable, given the history and orien- tation of voluntary organizations. These groups are rooted in the tradition of mutual benefit organizations, such as the religious and fra- ternal organizations, charitable groups, and la- bor unions that started old-age institutions for their members in the early part of this century. Their primary goal is seen as the provision of care and service, not achieving a profit (Vla- deck, 1980; Weisbrod and Schlesinger, 1983; Harris, 1981; Lasch, 1979~.2~ This section reviews several types of infor- mation about the impact of ownership type on quality, including impressionistic findings; empirical analyses that use structural and re- source input measures of quality; data from state licensure and certification agencies on 511 violations (basically of structural or input mea- sures of quality); complaints lodged by nursing home patients and their families; and an em- pirical analysis that uses process and outcome measures of quality. Some new data on the impact of chain ownership on quality are also presented. Impressionistic Evidence Impressionistic findings suggest that non- profit facilities tend to provide better quality of care and quality of life, but these findings are hardly conclusive. Brooks and Hoffinan (1978) visited many intermediate care facilities (ICFs) in the Cleveland metropolitan area and concluded, We . . . are impressed with the noticeable differ- ences between the two types of ownership. In gen- eral, homes for the aged (nonprofits) appear to have a more "homey" atmosphere, to be more adequately staffed, to be kept in better repair, to be more closely linked to community organizations, and to have more patient activities than do proprietary intermediate care nursing homes. Vladeck (1980) deals with this issue in his book, Unloving Care. On the basis of his ob- servations and interviews, Vladeck concludes, . . . on the average, voluntary facilities are some- what better than proprietary ones The worst nurs- ing homes are almost exclusively proprietary. But in the middle ranges, Were is substantial overlap. The best way to visualize the difference might be to conceive of the range of quality in each of the two types of nursing homes as a quasi-normal dis- tribu~on .... Ibe two distributions overlap mark- edly, win Me mean for We voluntaries slightly higher than the mean for proprietaries, and win We vol- untaries having a shorter low-quality tail. Winn and McCaffree (1976) conducted a study of 282 nursing homes identified by state officials (in 16 states) as being high-quality homes and developed a different impression. (Their purpose was to study how the patterns of services received by patients in these ex- cellent facilities differed from other facilities.) They observed that the proportion of nonprofit facilities identified as "high quality" did not differ from the proportion of nonprofit facilities in the population. However, without infor- mation about the distribution of the "ade
512 quate" and "seriously substandard" facilities, one cannot conclude that no difference exists. The performance of nursing home chains is even more difficult to evaluate, even impres- sionistically, since it seems to vary significantly from chain to chain. In a study for a congres- sional committee, Richard Levinson (1984) and other staff interviewed state Medicaid and health department officials regarding the im- pact of chain ownership on quality. Most state officials lacked systematic information about quality of care, much less how it varies by type of ownership. Also, state officials often do not know which facilities are part of multifacility chains. However, while officials are concerned about the growing concentration of nursing home chains and the fixture implications ofthis trend, many currently view the chains in a fairly favorable light. Thus, Levinson notes, that though responses "are anecdotal and im- pressionistic, at best," . . . respondents from the state Medicaid admin- istrations commonly report that the chains have been responsible for bringing a number of local privately owned facilities ("mom and pop" homes) which were substandard operations up to the minimum accept- able level.... The chains have the capital to up- grade institutions they purchase and are sometimes unwilling to jeopardize their name for deficiencies that can be remedied. Indeed, they indicated that some chains would not allow a facility they pur- chased to run under their name until it was brought up to" or close to-the minimum acceptable stan- dard. It must be emphasized that these facilities are not necessarily viewed by state administrators as offering "good quality" care, but are just good enough to meet state standards.... Some credit the chains with helping them to remove the worst abuses in nursing home facilities. In interviewing officials from several states, we heard much the same about the nursing home chains, but the view differed markedly depending on the chain under discussion. In four states where one chain operated, state officials cited it as the worst performer among all the chains with quality of care a major problem in many of its facilities. Two other nursing home chains, however, were cited as making efforts to upgrade the facilities they purchased. Some state officials, like Governor John Car- lin of Kansas, have expressed concern about FOR-PROFIT ENTERPRI SE IN HEALTH CARE the growing concentration of chain ownership, which they fear may lead to decreased com- petition and increased costs. Also corporations with facilities in one state en cl headquarters in another state are seen as more difficult to reg- ulate. Several state officials expressed concern that large chains could exercise too much in- fluence in state rate setting and regulatory is- sues with threats to withdrew from the Medicaid program. In addition, some state officials felt "outclassed" when regulatory actions involved legal proceedings because of the chains' high- priced and highly qualified legal representa- tion, while state agencies typically must rely on relatively inexperienced lawyers. Other state officials, however, felt that the chains were often more responsive to state Medicaid and survey agencies than were in- dividual owners. Some cited the managerial ability of some chains in this regard. Others, like Dr. Janice Caldwell of the Texas Depart- ment of Human Resources, felt that a chain is more likely to take corrective action promptly when one of its facilities is cited for deficiencies because the parent corporation would be un- willing to jeopardize its relationship with state agencies and place all its facilities at risk of increased regulatory activity.23 Our impression, based on visits to more than 200 facilities and interviews with state officials, ombudsmen, and families of nursing home pa- tients, is that nonprofit, church-~ffiliated homes tend to provide better quality of care and qual- ity of life than proprietary facilities. Excellent facilities are found in each category, but truly wretched ones are almost always proprietary. However, one's evaluation of the performance of nursing homes may differ according to the dimension of quality under consideration. For example, Ms. Iris Freeman, head of the nurs- ing home advocates program in Minnesota, observes that her office receives complaints about all types of facilities; complaints about quality of care tend to be about proprietary facilities, while complaints about violations of patients' rights (particularly about paternalism toward patients) tend to be lodged against non- pro~ts (Freeman, personal communication, 19851. Clearly, definitive conclusions about differences in quality are difficult to reach. However, most observers' general impres- sions seem to be that nonprof~ts, on the av
THE NURSl~G HOME lNDUS TRY erage, provide better quality as it is generally understood. Empirical Research: Variations in Input Measures of Quality The findings of empirical studies on the re- lationship of ownership to resource input and structural measures of quality are occasionally inconsistent, although most have found sig- nificant cli$erences between for-profit and nonprofit facilities in the amount of resources allocated to direct patient care. What these differences indicate, however, is a matter of substantial debate. The validity of resource in- puts, such as nursing hours per patient or ex- penditures on raw food, as surrogates for quality has been questioned by critics who argue that such measures may hear little relationship to either quality of care or quality of life in a facility (O'Bnen et al., 1983; Levey et al., 1973; Kane et al., 1983~. Several studies have failed to find any statistically significant relationship between structural factors or resource inputs and process and outcome measures of quality (Lee, 1984; Kurowski and Breed, 1981~. Despite such criticisms of input measures of quality, their use can be supported on sev- eral grounds. First, the availability of resource inputs is clearly a precondition to their use in patient care (Kosberg and Tobin, 1972; Kos- berg, 1973~. Second, the lack of correlation between resource input or structural measures of quality and process or outcome measures may be due to the lack of variation in these independent variables in the homes studied (Linn et al., 1977; Kurowski and Breed, 1981~. Third, some studies have found some resource inputs to be related to both process and out- come measures of quality of patient care (e.g., Kurowski and Breed, 1981; Shaughnessy et al., 1980~. Linn et al. (1977) found that the number of registered nurse (RN) hours per patient day was positively associated with pa- tient survival, improvement, and discharge from the nursing home. Raw expenditures on food and the availability of individual dietary plan- ning were also associated significantly with two of the outcome measures of quality of care. In a 1977 study of homes rated as superior, the American Health Care Association found that these homes outscored other facilities in the 513 number of RN hours per patient day but were lower in licensed practical nurses (LPNs).24 Two state studies also examined the value of various resource inputs as indicators of qual- ity. The Virginia Joint Legislative Audit and Review Commission (Virginia JLARC, 1978) identified facilities that state inspectors had found deficient in "meal menus, adequate food portions, or the quality of meals, " and facilities that had "complaints about food." Raw food expenditure data were available for 9 of the 17 such nursing homes. ILARC found that In all nine cases, the per day expenditure was below the state average. This supports the belief that low raw food costs and poor meal quality are related, and that food costs could serve as a measure of di- etary adequacy. The Ohio Nursing Home Commission (1979) studied differences between facilities rated as "high quality" and "low quality." On the basis of agreement from three sources (a reputa- tional survey of nursing home ombudsmen, hospital discharge planners, and state inspec- tion staff; licensure and federal certification survey reports; and inspections of facilities by commission staff, 60 nursing homes were identified as providing either high or low qual- ity Of these, 27 low-quality homes and 28 high-quality homes had current Medicaid cost reports on file with the Ohio Department of Public Welfare. A comparison of facilities al- location of funds (Table 6) shows that "high- quality" homes have higher expenditures on direct patient care items, such as food, RNs, aides, medical and rehabilitative care, house- keeping, and laundry and linen.25 While the validity of resource inputs as in- dicators of quality is not definitively estab- lished, such studies support the utilization of resource input as at least partial indicators of quality of care. Several studies offor-profiit and nonprofit facilities use such measures, and they yield fairly consistent findings about owner- ship. Two studies of resource inputs found no significant differences between for-profit and nonprofit facilities. Holmberg and Anderson (1968) interviewed administrators in 118 ofthe 392 nursing homes in Minnesota in 1967 and found several structural differences between for-profit and nonprofit homes.26 Although av- erage staffing patterns (RN hours per patient
514 FOR-PROFIT ENTERPRISE IN HEALTH CARE TABLE 6 Spending Differences per Patient Day Between a Sample of High-Quality and Low-Quality Nursing Homes Participating in the Ohio Medicaud Program Average per Patient per Day l2:xpenditure, 1976a lIigh-Quality Low-Quality Item Homes Homes Difference Average total per diem $26.27 $21.12 $5.15 (24%) Raw food 1.99 1.45 0.54 (37) Registered nurses 1.92 o.g9 0.93 (94) Aides and orderlies 4.63 4.19 (~.44 (11) Total nursing staff 7.53 6.63 0.90 (14) Medical and rehabilitative care 0.42 0.23 0.19 (83) Housekeeping 1.11 0.57 0.54 (95) Laundry and linen 0.73 0.54 0.19 (35) Property costs 3.82 3.02 0.80 (27) Licensed practical nurses 0.98 1.45 _0.47 (48) Administrator salaries 0.80 0.99 - 0.19 (24) Motor vehicles 0.04 0.14 -0.10 (250) Legal and accounting fees 0.i3 0.18 -0.05 (39) Profit factor 0.78 0.78 aFrom a group of 28 high-quality facilities and 27 low-qual~ty facilities of similar size (50 or more beds) and certification status (dually certified as S>JF/ICF). bThis figure is based on the age, historical cost of the facility for depreciation and interest payments, or, if the facility is leased, the lease or rental payment. Observed differences in spending on ownership/property costs are probably associated with the age and size of the facilities. SOURCE: Ohio Nursing Home Commission (19791. day, average number of patient care start were very similar, nonprofits had significantly more physician hours per patient per week than the proprietaries, and the for-profits had more ad- ministrative hours per week. However, Holmberg and Anderson (1968) concluded that most quality indicators were not significantly related to ownership type and that the differences between ownership types were less significant than He differences among facilities within each category. Levey et al. (1973) reached a similar conclusion. They stud- ied 129 of 690 nursing homes in Massachu- setts, using an index of nursing services, patient activities, and physical plant characteristics from survey and patient care reports. They found no significant differences in their quality index on the basis of facility ownership. Some observers argue that the findings of Holmberg and Anderson (1968) and Levey et al. (1973) are not typical because Minnesota and Massachusetts are thought to have more- stringent regulatory policy and higher-quality nursing homes than is average and the quality proxies used were based on resource inputs regulated by the state. A study by Gottesman (1974) supports these findings. Gottesman gathered data on 40 nursing homes and on the social, physical, and mental characteristics of 1,144 residents in those facilities. He also ob- served the activities of nursing home residents and staff during two 12-hour periods. Gottes- man found better psychosocial activities and staff involvement in nonprofit homes and that "church-related facilities seem to have a strong sense of 'family' in their sponsorship." How- ever, he argues that other factors, such as fa- cility size, patient characteristics, and the mix of public and private-pay patients, may have more significance for these differences in qual- ity than does ownership. For instance, of the proprietary facilities with high levels of public- pay patients, Gottesman argues, These homes have a high proportion of socially mar- ginal residents, fewer financial resources, and a res- ident group with many social disabilities and little
THE NURSING HOME INDUSTRY community involvement. It should not be surprising that they come off most poorly with regard to basic medical and psychosocial activities as well as staff involvement.27 Other studies of resource inputs consis- tently find differences between for-profit and nonprofit nursing homes. For example, the concern about profit-taking at the expense of patient care has been heightened by a study (Fottler et al., 1981) that examined the rela- tionship between profits and four measures of quality of patient care.28 This study found that there is a consistently negative relationship between a nursing home's profitability and re- source input measures of patient care quality. That is, the study found that quality decreases as profits increase. While reliance on struc- turaVinput measures of quality, like those em- ployed in the Fottler study, may be subject to debate (O'Brien et al., 1983), few observers would argue that staffing is unrelated to qual- ity. Most would agree that sufficient staffing is, at the least, a precondition to high quality of care. Moreover, the study's findings confirm the view of many long-time observers of the nursing home industry. As Vladeck (1980) ob- serves, The motivations, or actual behavior, of profit-seek- ing firms may run counter to the well-being of nurs- ing home residents. Proprietary facilities tend to be physically smaller Man voluntary ones, especially in the provision of public space. They have incen- tives to discriminate against Medicaid recipients and against admission of sicker patients. They are more likely to cut corners on supplies and staking. And there can be no denying that most of the really scandalous conditions found in nursing home in- vestigations have been in proprietary facilities. Other studies find substantial differences between for-profit and nonprofit homes on re- source inputs. The 1973 National Nursing Home Survey demonstrated Hat nonprofit homes had significantly more staffthan for-profit facilities, with twice as many clerical, food service, housekeeping, and maintenance staff. Pro- prietary facilities had more administrative hours, as well as medical and therapeutic (e.g., physical therapy) staff hours. In both the 1973 and 1977 surveys, nonprofits had more RN hours (U.S. Department of Health, Educa- tion, and Welfare, 1975b, 1979~. 515 Winn (1974) found similar differences in a study of a matched sample of 24 proprietary and 24 nonprofit nursing homes in Washington state. Nursing hours per patient day were slightly higher in nonprofit homes, and total employee hours per patient day were signifi- cantly higher in nonprofit facilities. The New York State Moreland Act Commission (1975) found that nonprofit facilities spent an average of $16.02 per patient per day on nursing, while for-pro~ts spent only $12.78 per patient day. When the analysts controlled for facility size and location, however, much of the cost dif- ference between for-profit and nonpro~ts was eliminated. In general, "ownership variables added only minor explanatory power," but it did account for some of the variation in spend- ing on nursing staff The Minnesota Senate/House Select Com- mittee on Nursing Homes also examined the spending patterns of nursing homes and found significant ownership differences in the dis- tribution of expenditures (Minnesota Senate and House, 19761. Proprieties spent nearly twice as much as nonprofits on cost of capital (property and related expenses), while non- profits outspent the proprietaries on dietary, housekeeping, and plant operation (mainte- nance). In addition, Me Minnesota study found Proprietary SNFs incur 37.7% oftheir costs for care- related items and 20.8% for property-related items. For nonprofit SNFs, Me percentages were 41% for care-related costs and 11.1% for property-related items. The differentials for ICFs were about the same. The Virginia study (Virginia JLARC, 1978) also found substantial differences in the spend- ing patterns of for-profit and nonprofit facili- ties, including that "profit status was found to have an effect on the distribution of nursing home expenditures but not on overall cost." Using data from facilities with the same av- erage number of patient days, the Virginia study found striking differences, depicted in Table 7. Caswell and Cleverley (1978) also found sig- nificant differences in both the costs and dis- tribution of expenditures by different nursing home ownership types. They found that while for-pro~t facilities had lower overall costs, the savings were primarily in areas that may have
516 Item FOR-PROFIT ENTERPRISE IN HEALTH CARE TABLE 7 Spending Patterns in Virginia homes in New York State. His quality mea Nursing Homes, 1977a sures were "multiple scales of staffing and re source distribution" among the facilities. The distribution of resources was measured in terms of per diem expenditures on administration, medical, nursing, rehabilitation, social ser vices, activities, nutrition, housekeeping, and other professional services. Staffing measures included RN, LPN, and aide hours per patient day, physician hours per patient week, and other professional staff hours per patient day. In addition, as a measure of quality of life (pri vacy and personal space), Elwell included the proportion of patients in multiple-bed rooms. The proportion of Medicaid patients per fa cility, the proportion fimctionally impaired, and the size and location offacilities were included to help isolate the effect of ownership on the measures of quality. Even when controlling for these, in each patient service area Elwell measured, nonprofits spent more than the pro prietaries.30 He concludes that "the differ ences among ownership types were consistent with the hypothesis that . . . voluntary insti tutions are superior medical and personal care facilities" (Elwell, 19841. When controlling for location, Elwell found that In each of the six regions, proprietary facilities spent significantly less than the regional mean for admiIl istration, nursing, nutrition, and housekeeping ser vices. Proprietary facilities spent significantly less for medical services in five of the regions, for social and rehabilitation services in four of the re gions.... In no region did proprietary facilities spend significantly more than the regional mean for any of the service areas measured. Proprietaries Nonpro~ts Nursing Dietary Administration Property (depreciation, interest, rent) - $7.98 3.~8 3.97 3.09 $10.65 4.51 3.00 1.70 aAverage per patient per day expenditures (Virginia JLARC' 1978). direct or indirect effects on the quality of pa- tient care: housekeeping, maintenance, nurs- ing, and clietary. The for-pro~ts, however, reported higher costs of property (interest, de- preciation, and rent or lease payments). Cas- well and Cleverley concluded that many pro- prietary facilities were probably staffed at lower levels than minimum health and safety stan- dards required. The Ohio Nursing Home Commission's analysis of 1977 costs reported by nursing homes to the state Medicaid agency revealed a similar pattern. On average, nonprofit facilities out- spent proprietaries on raw food and dietary supplies ($4.67 per patient day versus $3.01), as well as on a composite of direct patient care items that includes nursing salaries, medical supplies and expenses, social services, and medical and rehabilitative salaries (Ohio Nurs- ing Home Commission, 1979. Data from Texas (,Moden, 1982) reveal sim- ilar differences in the distribution of spending. For instance, in 1978 the average for-profit facility had total net revenues 16.5 percent less than the average nonprofit. But the for-profits, on the average, spent 37 percent less on pa- tient care (e.g., nursing stab and 31 percent less on dietary than nonprofits. In 1980, the pattern was similar. Proprietary facilities had total net revenues (on the average) that were only 7.5 percent less than the average for non- profit facilities, and spent 29 percent less on patient care items (e.g. nursing, medical, and rehabilitative care) and 27 percent less on food than the average nonprofit nursing home. Ta- ble 8 displays data on per diem expenditures broken out by cost category for 1981. Elwell (1984) studied 424 skilled nursing He concluded, The results ofthis analysis provide considerable con- firmation for the hypothesis that government and voluntary facilities offer superior medical and per- sonal care to their patients. The allocation of finan- cial resources as well as the number of staff hours per patient day were all consistent with the hy- po~esis. Data on the impact offor-profit nursing home chain ownership on quality of patient care are even more scant than that focusing on diffier- ences between for-profit and nonprofit facili- ties. Greene and Monahan (1981) analyzed data from 24 SNFs in the greater metropolitan area of Phoenix, Anzona. They felt that in the rel
THE NURSING HOME INDUSTRY TABLE 8 Data on Revenues, Expenditures, and Spending Patternsa in Texas Nursing Homes, 1981 Cost Area Nonprofits Proprietaries Difference Patient care $18.19 $12.30 $5.89 (48%) Dietary 5.89 4.28 1.61 (38) Facility (property) 5.68 5.60 .08 (1) Administration 3.15 2.97 .18 (6) Total expenditures 32.91 25.15 7.76 (31) Total revenues 32.34 27.06 5.28 (20) Difference between revenues and expenses (- .57) 1.91 aAverage per patient per day expenditures. SOURCE: Data from Moden (1982) based on data reported to the Texas De- partment of Human Resources by nursing homes participating in the Medicaid program. atively unregulated market of Arizona, which at the time had no state Medicaid program (and thus no federal health and safety stan- dards or inspections), might make the orien- tation of nursing home owners more apparent. As a measure of quality, Greene and Monahan used a composite of facility spending on such items as RN hours, expenditures on RNs, and dietary expenditures. Greene and NIonahan examined the behavior of nonprofit homes, in- dividually owned or locally headquartered proprietaries, and for-profit nursing home chains. They found that "for-profit institutions give significantly lower levels of care, even with charges and other factors controlled," and that "distantly headquartered chain operations tend to provide lower levels of care than lo- cally-owned facilities." However, since the number of homes in the Greene and .\Ionahan study is small and the unregulated market of Arizona may not be typical, their findings can- not safely be generalized. Data on Texas nursing home expenditures in fiscal year 1983, displayed in Table 9, fur- ther illuminate the relationship between own- ership and allocation of funds to resources thought to affect quality of patient care. The nonprofit facilities outspend the for-profit fa- cilities, on the average, in every category, in- cluding facility (property) and administrative costs. The differences in spending, however, are most notable in the patient care and dietary categories. Data on variations among the four 517 largest nursing home chains operating in Texas are shown in Table 10. In general, the differ- ences are consistent with earlier endings. The statewide mean for spending on the patient care category is 44 percent of total expendi- tures. For proprietaries it averages 43 percent, while for chain-owned facilities, spending on patient care is 42 percent of total expenditures. The two largest chains in Texas both spend less than 39 percent of the total on patient care cost items. Nonprofit facilities spend an av- erage of 47 percent of their total expenditures in the patient care category. Variations in Licensure and Certification Deficiencies and Complaints Another source of data that can be used to evaluate the performance of different nursing homes is information on state licensure and federal certification reports regarding viola- tions of minimum health and safety standards. These reports have often been justifiably crit- icized in terms of failing to reveal an accurate, multidimensional picture of the quality of care provided to patients in nursing homes, much less quality of life (e.g., Hawes, 1983; Ohio Nursing Home Commission, 1979; New Jersey State Nursing Home Commission, 1978; Mis- souri State Senate, 19781. Because inspections are usually announced or regularly scheduled, owners and administrators can anticipate the approximate date of inspections. In addition,
518 FOR-PROFIT ENTERPRISE IN HEALTH CARE TABLE 9 Revenues, Expenditures, and Spending Patterns in Texas Nursing Homes, 1983a Difference Between Nonprofits and Cost Area Statewide Mean Nonprofits Proprietaries Proprietaries Patient care$13.06$18.62$12.30$ 6.32 (51%) Dietary4.656.674.382.29 (52) Facility (property)6.707.606.581.02 (16) Administrative3.263.653.20.45 (14) Total expenditures29.8039.7628.4411.32 (40) Total revenues31.1636.6430.416.23 (21) Net income1.36(3.12)1.98 Occupancy (%)82.7788.7481.96 Proportion private-pay (%) 41.9626.27 aData are per patient per day expenditures as reported to the Texas Denartm~nt of Climax R^c^~,r^~e [1OQAN by the facilities participating in the Medicaid program. the survey Morons focus almost entirely on structural and input characteristics on the capacity of the facility to provide care rather than on the condition and satisfaction of pa- tients. For these reasons, critics argue that the inspection system-and the violation citations that emerge from this process yields insuf- ficient information about quality. On the other hand, there is no reason to expect that the deficiencies/violations do not accurately reBect failures by the facility to meet existing stan- dards, nor to expect that the citation system is biased in favor of any particular ownership type. Thus, while they do not fully measure ~ ~ vat Ecu ~uUl~;:i ~1aO~*J quality, licensure and certification deficiencies may capture important aspects of quality of care. Complaints reported by patients, family members, or others familiar with the facilities are another potential source of data about the performance of nursing homes. Many argue that complaints are especially valuable since they may reveal patients' and families' per- ceptions of quality and may reveal more than regulatory reports about quality of life, aug- menting inspection reports (Weisbrod and Schlesinger, 19831. There is some concern that complaint data may be biased against higher TABLE 10 Revenues, Expenditures, and Spending Patterns in Nursing Home Chains, Texas, 1983a ANTA/ Cost Area All ChainsBeverlyARAFour Seasons Hillhaven Patient care $12.51$11.38$10.65$14.72 $15.73 Dietary 4.334.053.524.37 4.35 Facility (property) 7.297.406.646.35 9.34 Administrative 3.533.563.954.81 4.37 Total expenditures 29.7929.9827.1132.53 36.75 Total revenues 30.8330.6529.7333.43 32.92 Net income 1.051.662.13.90 (3.83) Occupancy (%) 79.6573.5774.6691.76 83.04 Proportion private pay (%) 26.6330.6120.8535.63 25.98 a Data are per patient per day expenditures as reported to the Texas Department of Human Resources (1984) by the facilities participating in the Medicaid program.
THE NURSING HOME INDUSTRY quality facilities, since in these homes patients and families may feel less fear of reprisal and less reluctance to complain. In addition, in- dividuals may be more willing to lodge com- plaints when they fee} most confident that corrective action wiT1 occur. Existing studies and available data on reg- ulatory violations and complaints indicate that nonprofit facilities offer higher quality of care and quality of life than proprietary ones. There are too few systematic data on the performance of nursing home chains and too much ap- parent variation among different chains to permit definitive conclusions. The Minnesota loins House/Senate Select Committee on Nursing Homes analyzed dif- ferences in complaints about poor quality of care (Minnesota Senate and House, 1976~. The data from 1974 revealed that while only 39.1 percent of the licensed nursing homes in Min- nesota were proprietary, 78.2 percent of the complaints filed with the state health depart- ment were lodged against for-profit homes. Of the 41 nursing homes that were the subject of three or more complaints during 1974, 39 (95 percent) were proprietary facilities. The Ohio Nursing Home Commission (1979) analyzed characteristics of all (45) nursing homes that had such serious violations of health and safety standards that the Ohio Department of Health began proceedings to revoke their li- censes in 1976. Only one (2 percent of the total) was a nonprofit facility, although non- profit nursing homes constitute more than 20 percent of Ohio facilities.32 Koetting's study (1980) is perhaps the best- designed empirical study to date. Koetting se- lected a sample of 136 lllinois facilities divided into five ownership categories: (1) private non- profits; (2) government-owned nonprofits; (3) proprietaries with working owners; (4) chain- owned proprietaries; and (5) other proprietar- ies. Quality-of~are measures were derived from licensure surveys and inspection-of-care re- ports. Using regression analysis to isolate the impact of ownership on these measures, and controlling for facility size, patient mix, and occupancy rate, Koetting concluded that non- profit homes had superior quality.32 Riportella-Muller and Slesinger (1982) stud- ied quality of care in 462 of 533 Wisconsin nursing homes. Measures of quality included 579 numbers of code violations end complaints. On the basis of the complaint data, the nonprofit homes provided better quality, but the data on violations yielded more complex findings. Small nonprofit homes had fewer violations than small proprietary homes, but large non- profits (150+ beds) had more violations than similar proprietaries. Riportella-Muller and Slesinger concluded that although nonprofits performed somewhat better than proprietary nursing homes, the size and certification status ofthe facility were important mitigating factors and that simply eliminating for-profit entities would not necessarily significantly improve quality. Weisbrod and Schlesinger (1983) also stud- ied code violations and complaints filed against nursing homes in Wisconsin; however, their findings in favor of the nonprofits were much stronger than those of Riportella-Muller and Slesinger. Based on analysis of 431 nursing homes and data for 1976, Weisbrod and Schlesinger found that nonprofit homes had significantly fewer complaints than did pro- prietary firms. The picture for differences in ownership performance as measured by code violations was more complex. Nonprofit homes that were not church owned had significantly more regulatory violations than their for-profit counterparts of similar size. Church-owned nonprofits performed better on each measure (complaints and regulatory violations) than did for-profits. States generally do not systematically report data on violations of state licensure and federal certification standards in a form that is usefi to researchers. California, however, does as- semble such data. The California Health Fa- cilities Commission (1982) examined licensure citations to nursing homes that failed to meet minimum standard for the period 1977-1979. Proprietary firms generally performed worse than nonprofits. The average number of licen- sure citations per facility was 0.46 among church-related homes, 0.49 for other non- pro~ts, and 1.8 for proprietary homes33 (see also AFL-CIO, 1983a,b). Texas also systematically records serious vi- olations on which the Department of Human Resources has taken action. We analyzed three types of increasingly severe punitive actions imposed by the department on long-term care ~,
520 facilities in Texas between January 1 and April 29, 1983. [During that time, 181 compliance letters were issued, 35 vendor holds on Med- icaid payments were imposed, and 42 facilities were terminated from the Medicaid program. Punitive actions were almost exclusively taken against proprietary facilities. For-profit homes (840 or 88 percent of facilities in the Medicaid program) received 169 (93.4 percent) of the compliance letters, 100 percent of the vendor hold actions, and between 90 and 100 percent of the 42 contract terminations.34 Nonprofit nursing homes (115, or 12 percent of facilities in the Medicaid program) received 12 (6. 6 per- cent) of the compliance letters, none of the vendor hold actions, and between 0 and 10 percent of the contract terminations. In sum, in terms of code violations, non- profit nursing homes perform much better than proprietaries. The relative performance of nursing home chains is more difficult to eval- uate, although there are indications that chains may differ significantly from one another and that some chains do well in terms of violations of structural health and safety standards while others do quite poorly. For example, when we analyzed the 1983 Texas data on punitive ac- tions, we found that 1. Beverly Enterprises owns/operates 121 or 12.7 percent of the facilities participating in the Texas Medicaid program; however, Beverly received 18.2 percent of all compli- ance letters, 17 percent of the vendor holds, and 14.3 percent of the contract terminations (decertification) . 2. ARA owns 114 or 11.9 percent of the facilities and received 7.2 percent of the com- pliance letters, 14.3 percent ofthe vendor holds, and 2 percent of the contract terminations (de- certification) . 3. Hillhaven owns/operates 16 facilities (1.6 percent) and received 1.6 percent of the com- pliance letters and none of the vendor hold or Recertification actions. Thus, the chains varied in terms of violations cited and serious punitive actions instituted by the state. This suggests that nursing home chains are not a "monolith"-that is, each chain may have a slightly different orientation or or- ganizational structure that affects its perfor- mance more than the mere structural FOR-PROFIT ENTERPRISE IN HEALTH CARE characteristic of being a multifacility opera- tion. Variations in Process and Outcome Measures of Quality Only a few studies have attempted to mea- sure variations in quality using process and outcome measures (Kane, 1983; Schlenker et al., 1983; Schlenker, 1984~. One that directly addresses the impact of ownership on quality focused on nursing homes in Iowa where the state licensure agency developed an "outcome oriented" licensure survey for use in the an- nual inspection of nursing homes (Lee, 1984~. The survey focuses not only on resource inputs but also on resident satisfaction (e.g., feelings of safety and security, enjoyment of food); professional health care (e.g., health care plan- ning for individual residents); implementing the medication, treatment, and diet plans as prescribed by physicians; the quality of the living environment (e.g., cleanliness of rooms); room conditions; and food service (e.g., whether the food provides basic nutritional require- ments and whether residents like the food). In analyzing the differences in Iowa facilities, Lee (1984) found not only that proprietary facilities had significantly fewer staff than similar non- profits but also that nonprofits performed bet- ter on every outcome category: care planning, quarterly review of patients, room conditions, and quality of living environment.35 The in- troduction of a "size" variable did not com- promise the findings of the superiority of nonprofit facilities. Lee concluded that their findings are consistent with the Greene and Monahan study (1981) that "nonprofitts) ap- pear to provide consistently better quality of care when compared with the for-profit facil- ities" (Lee, 1984~. Summary and Conclusions Regarding Quality c ~· c~ The preponderance of evidence from the relatively few studies that systematically ad- dress quality of care and ownership differences suggests the superiority of nonprofits partic- ularly of the church-related nonprofits. The data from the state surveys strongly support this Ending. Studies using a variety of quality
THE NURSING HOME INCUS TRY measures resource inputs, licensure viola- tions, complaints, and outcome-oriented mea- sures of quality are fairly uniform in finding nonprofit facilities superior in quality to for- profit nursing homes. The findings on the rel- ative performance of the chains are less con- clusive. Because few studies have adequately con- trolled for the possible effects of differences in patient case mix`, it is difficult to interpret data on resource inputs. Higher levels of staffing, for instance, may be a sign of higher quality of patient care, of a more intense case mix, or of inefficiency. Most studies have flaws, par- ticularly in terms of the measures of quality (e.g., O'Brien et al., 1983~. The nature and strength of the relationship between the prox- ies for quality and a patient-focused, multi- dimensional concept of quality have not been conclusively established. At best, such proxies as resource inputs are preconditions to, or par- tial indicators of, high quality of care. Until better measures are developed, tested, and used in studies, "knowledge" about the impact of ownership and other variables such as size is provisional. Finally, researchers must use richer models of ownership. Lumping government-owned facilities with church-related homes and pri- vate nonprofits (that may be nonprofit in name only) into the same ownership category may obscure significant differences in perfor- mance. The same is true of the for-profits. A multibillion dollar multistate chain of 800 nursing homes, whose stock is publicly traded, is hardly the same organization as a 40-bed facility owned and operated by a practical nurse and her family. Yet, both are for-profits. Fi- nally, there may be significant differences among various multifacility nursing home sys- tems, and understanding the performance of chains may require analyses that distinguish among them. The Impact of Ownership on Cost In general, empirical studies indicate that nonprofits report higher per patient per day costs than for-pro~t facilities. However, this finding requires qualification. First, most studies have employed inadequate measures of the severity of patient case mix and of qual 521 ity of care. Thus, variations in cost may be due to differences in the facilities' mix of patients served or in the quality of patient care. Sec- ond, one of the most significant differences in costs is in the distribution of expenditures by different facilities, that is, in the way they al- locate funds to various cost centers or items. This may have significant implications for qual- ity and efficiency. Third, there is some indi- cation that although certain types of facilities have lower costs, the actual price charged to patients varies relatively little. Cost Function Studies and Behavioral and Market Models There have been a variety of studies that focus on nursing home costs. Many of the most useful studies utilize secondary data from one or more states and relate differences in costs to such factors as type of ownership, location, bed size, occupancy rate, mix by payee, and measures intended to capture differences in patient case mix and quality of care. Most stud- ies have found the costs reported by nonprofit facilities to be higher than those of similar pro- prietary homes; however, proxies for such key factors as patient case mix and quality have varied and generally been inadequate. Thus, the results must be interpreted carefully. Two studies found no significant variations in costs associated with ownership. The New York State Moreland Act Commission (1975) found that voluntary facilities reported signif- icantly higher costs per patient day ($16.02) on the average in 1974 than proprietary facil- ities ($14.12). However, when the analysts controlled for the size of the facility and re- gional wage differences, "very little difference in cost was explained by the ownership factor ?' a one. The Virginia Joint Legislative Audit and Re- view Commission~s (1978) analysis of reported nursing home costs also found little difference between nonprofit and proprietary facilities, although, as discussed earlier, the study found significant differences in the allocation of ex- penditures, among various cost centers, with "nonprofit facilities . . . [having] lower facility costs (interest, rent, and depreciation) and ad- ministrative expenses but . . . Espending] more for nursing care and dietary services."
522 A few other studies found only slight dif- ferences in costs between proprietary and non- profit nursing homes. Levey et al. (1973) found that higher costs were associated with non- pro~Rt ownership, but the difference was not statistically significant. Winn (1974), on the basis of data gathered from nursing home ad- ministrators, found per diem costs to be slightly higher among nonprofits but not signifi- cantly so. Two other studies reveal significant cost dif- ferences. Both Holmberg and Anderson (1968) and Koetting (1980) found that the costs re- ported by nonprofit facilities were, on average, significantly higher than those of for-profits. Koetting found that for-profit facilities could achieve the same level of quality (as measured by licensure code violations and deficiencies in individual patient medical reviews) at a lower cost than nonprofit nursing homes. Both stud- ies, however, found little difference between the two types of facilities in actual charges to patients. Elolmberg and Anderson found, in fact, that once the analysis of the proprietaries included their profit factor, then charges by nonprofit facilities were lower. Other studies have consistently found non- profits to have higher reported costs. Ruchlin and Levey (1972) studied 4 years of cost data (1965-1969) for 175 Massachusetts nursing homes and found nonprofit ownership gen- erally had higher costs. Caswell and Cleverley (1978) in analyzing costs reported by Ohio nursing homes found that "proprietary homes do appear to be less costly than (nonprofit) . . homes." Both noted that the allocation of ex- penditures within total spending differs, with the for-profits spending significantly more on property costs. Birnbaum et al. (1981) analyzed (lata from several different data sets, including the Na- tional Nursing Home Survey and data on fa- cilities participating in the Medicaid programs in New York, Massachusetts, and Indiana. They found nonprofit facilities (private and govern- ment-owned were both included) have higher costs than for-profit nursing homes. The anal- ysis of each data set had some controls for variations in patient mix among the facilities, and in analyzing the New York data, Birnbaum et al. used inspection rating data as a proxy for quality. Even when these types of case mix FOR-PROFIT ENTERPRISE IN HEALTH CARE and quality measures were taken into account, the cost differentials between for-profit and nonprofit facilities persisted. In her review of 12 major cost studies, Bishop (1980) concludes that for-profit facilities have lower per diem costs than nonprofit facilities, even when other factors associated with higher costs (such as location and the provision of skilled nursing care services) are held con- stant. Meiners (1982) also found that proprie- tary facilities had average costs that were significantly lower than nonprofit nursing homes, even when controlling for some mea- sures of case mix, the range of therapeutic services available, and the type of staff cov- erage on daily shifts. Meiners also argued that whether a facility was part of a nursing home chain was not statistically significant in ex- plaining variations in cost. Finally, Lee and Birnbaum (1983), Schlenker and Shaughnessy (1984), and Schlenker (1984) all report that nonprofit ownership is consistently related to higher costs. Few available studies (e.g., Koetting, 1980; Lee et al., 1983; Meiners, 1982) directly acl- dress the impact of multistate chains on costs, and their data were from facility costs reported in the early 1970s. Further, we desired a more refined analysis of various ownership types. Thus, we undertook a new analysis of nursing home costs in Ohio. It examined variations among private nonprofit facilities (govern- ment-owned were excluded) and three types of proprietary facilities: (1) for-profit facilities owned by individuals who own and/or operate three or fewer facilities in Ohio; (2) intrastate chains, usually consisting of between four and ten facilities (all in Ohio) and owned by an individual, family, or partnership; and (3) mul- tistate publicly held nursing home chains.36 Consistent win much previous research, our analysis found substantial cost differences be- tween nonprofit facilities and those operating under the three proprietary forms. The av- erage total costs per patient day in nonprofit homes were approximately $6.00 to $8.00 higher than average total costs in various pro- prietary facilities. The average total costs for individually owned homes and for those that are part of intrastate chains were almost iden- tical, while the total costs for homes operated by multistate chains were approximately $1.50
THE NURSING HOME INDUSTRY higher than the other two proprietary forms. The same pattern holds for average operating costs per patient day. However, in our analysis we also examined differences in the allocation of expenditures and, using multiple regression techniques, were able to gain A clearer picture of cost differences and the factors that affect them. Our new Ohio analysis shows expenditures on patient care to be much higher in nonprofit homes than proprietary ones. Nonprofits spent approximately 27 percent more per patient day on raw food than for-profit homes, from 30 to 100 percent more on medical and rehabilita- tive services, from 250 to 1300 percent more on social services, and from 25 to 32 percent more than the proprietaries on total nursing (which includes RNs, LPNs, and nurse's aides and orderlies). Individually owned and intra- state facilities spent more than the nonprofits on LPNs, in effect substituting one kind of professional nurse for another. If, as we argue, these measures of resource inputs and service availability are valid proxies for quality of care, Ohio nonprofit facilities of- fer higher quality of care on the average than do the proprietary facilities. The findings, some of which are displayed in Table 11, also suggest that in Ohio, the multistate chains perform somewhat better than the other two proprie- tary categories. The intrastate chains commit the fewest resources to direct patient care and thus may provide the lowest quality of care.37 As noted, we found that the difference in costs between the nonprofit and the for-profit categories was between $6.00 and $8.00 per patient day. The regression analysis made it clear, however, that much of that difference derives from differential spending on patient care (quality) and from differences in facility 523 characteristics other than ownership (i.e., oc- cupancy, admissions, patient mix by payer type, facility size, certification status, and location). The analysis also shows, however, that not all of the variation in costs between for-profit and nonprofit owners is related to these factors. The results indicate that controlling for di$er- ent levels of patient care expenditures (our quality proxies) and different facility charac- teristics significantly reduced the cost differ- ence; nevertheless, all three forms of proprietary facilities have total and operating costs that are still significantly lower than those found in the nonprofit facilities. For-profit fa- cilities report costs per patient day that are approximately $2.50 lower than the nonprof- its. The analysis displayed in this section leads to several conclusions. First, nonprofit (non- government) facilities, on the average, report higher costs than the average for-profit facility. When we take into account factors other than ownership that might account for cost varia- tions, the difference in costs between non- profit and for-profit facilities is reduced, but even with these factors taken into account, there is still a significant cost difference be- tween for-profit and nonprofit nursing homes in Ohio. Second, the differences between the venous types of for-profits are quite interest- ing and may be missed by most analyses. When we used total or operating costs as the depen- dent variable, the Tree types offor-profit homes displayed little difference. Their behavior ap- peared quite similar. However, when we ex- amine the for-profits' individual cost Unctions, Weir behavior differs; that is, He factors Hat are related to cost v~abons differ among the different ownership types. This is especially significant since it may indicate different re TABLE 11 Comparison of Average Expenditures in Major Cost Centers, Ohio, 1977 Type of Ownership Individual Intrastate Multistate Cost Center Ownership Chain Chain Nonprofit General services costs $2.47 $2.44 $2.(~4 $3.27 Ownership or rent 3.12 3.12 3.10 2.69 Patient care costs 9.05 8.90 9.52 13.16 Administrative costs 2.73 2.90 2.53 3.17
524 sponses among the various ownership types to regulatory and reimbursement policies. This issue deserves further study to determine whether it is more broadly generalizable. Fi nally, the variations between the different ownership types in relation to the quality prox ies are provocative. Like most other studies, our analysis shows significant differences be tween for-prof~t and nonprofit nursing homes in their expenditures on direct patient care and dietary items. The Impact of Chains and Chain Acquisition of Facilities The best way to study the impact of mul tifacility chains may be to analyze facilities' performance before and after being acquired by a chain, and no empirical studies have sys tematically attempted this. Some evidence, however, suggests that chain acquisition may lead to higher costs, even when no improve ment in the quality or level of services can be identified The facet of chain acquisition that has at tracted the most attention is the impact on capital or property costs. The real estate ad vantages of nursing home investment have been discussed by several observers (e.g., Shulman and Galanter, 1976) and earlier in this paper. The Ohio Nursing Home Commission (1979) found that there were ownership changes in 20 to 25 percent of for-profit facilities an nually-usually to take advantage of various tax and property cost reimbursement benefits. The result was that the private-pay patients and Medicaid program paid higher and higher costs for the same facility to provide essentially the same services it had before the ownership change. Vladeck (1980) argues that such turn over causes a disproportionately high share one large, mu~htac~ty chains have argued f -- ~ } ._._^A~ . to igo to] deprecia- that their higher administrative costs contrib tion, . . . interest premiums and personal ute to improved administration end that their profits" and may harm patient care. He argues lower patient care costs and dietary expendi tures are due to management and purchasing efficiencies. This is not supported by a variety of data discussed earlier, including the records of two chains operating in Texas that spend more than the statewide mean on administra tion, substantially less on patient care and di etary costs (Texas Department of Human Resources, 1984; see Table 10), and have re FOR-PROFIT ENTERPRISE IN HEALTH CARE Expenditures on staff end supplies can wait, if nec- essary, but capital financing costs must be covered. GAO (1983a,b) found that the acquisition of a hospital chain led to significantly higher property costs being charged to the Medicare program. This also occurs in nursing homes. The Kansas Division of Post Audits found that acquisitions and mergers led to higher prop- erty costs. The audit division estimated the takeover of 58 ICFs by a large, multistate chain after March 1982 added $650,000 to the Med- icaid program's costs in 1983 alone (Levinson, 1984~. Another example is Beverly Enter- prises' acquisition of Provincial House nursing homes in Michigan. Accorcling to one analysis of Medicaid cost reports, the pre-sale interest expenses reported by Provincial House nurs- ina homes in 1981 totaled $1,814,296. After the acquisition by Beverly, these same facili- ties reported an interest expense of$4,280,212 as a result of the debt financing of the pur . . . cease, a 1-year increase in interest expenses alone of 136 percent (AFL-CIO, 1983a). Also troublesome is the possibility- sug- gested by the distribution of spending by the chains that such increased costs may be cov- ered by chains' reducing expenditures on pa- tient care. The analysis of 1983 nursing home spending patterns in Texas demonstrates that the chains' total expenditures war`? Act identical to the statewide mean. However, they spend 9 percent more than the statewide mean on property costs and 8.2 percent more on administrative expenses, while spending 4.4 percent less on patient care and 7.4 percent less on dietary services (Texas Department of Human Resources, 1984; see also Table 10). Other data showing similar patterns (e.g., in Virginia) were reviewed earlier. ~' ~r a. ~ _ _ _ _ nt incl'~ctrv r~v`?n,~f~c The high degree of leveraging also creates a kind of perpetual instability in the nursing home industry as a whole and within the life of any given institu- tion. Nursing homes are always changing hands or changing financial structure; skimping and corner- cutting fluctuate with financing cycles. . . . The one economic certainty in the typical nursing home is that the monthly mortgage payment must be met.
THE NURSING HOME INDUSTRY ceived a high proportion of punitive actions for violations of minimum health and safety standards. Two other studies also suggest that higher administrative costs among multifacility chains do not lead to greater operating efficiencies. A Virginia study (Virginia JLARC, 1978) found that homes that are subsidiaries of chains gen- erally paid the home office management fees, which averaged $50,266 per facility in 1976 and added about $400 per year to the cost of each bed. However, these fees did not reduce overall administrative costs or produce savings in other cost categories. The study concluded, "It appears that chain ownership offers no sub- stantial cost savings to either the patient or the Medicaid program." Similarly, the Ohio Nurs- ing Home Commission (1979) found that fa- cilities with management fees had higher "other" administrative costs.38 Although there may be circumstances in which acquisition activity does not lead to higher costs for example, if payers will not pay for property costs following any sale available evidence of such cost increases is persuasive. Whether the increased facility costs that result from the chains' acquisition and merger activ- ities are justified by improved quality or more equitable access is difficult to determine since empirical studies have not adequately ad- dressed this issue. Further, since it appears that chains vary among themselves in their total costs, the distribution of their expendi- tures, their performance in terms of regulatory standards, and their admission policies, more sophisticated analyses are required to address these issues. Summary and Conclusions Regarding Cost Most studies find nonprofit homes to have higher reported costs than for-profit homes. Although controls for other factors that lead to higher costs reduce the magnitude of this dif- ference in costs, they do not eliminate them. Even when proxies for quality are introduced, as well as measures of patient case mix inten- sity, the differences remain. Thus, some an- alysts, like Koetting (1980), argue that proprietaries are more efficient-that is, they can attain a given level of quality at lower cost than the nonprofits. Indeed, our analysis of 525 the Ohio nursing homes could be seen as sup- porting this proposition. This conclusion may be premature. Many studies use inadequate measures of variations in patient case mix intensity. This is critical, since case mix differences between facilities have been found to be the best predictor of variations in costs (Schlenker, 1984) and since some evidence suggests nonprofit facilities typically have a more intense case mix. Thus, case mix may account for some of the cost differences between nonprofit and for-profit facilities (Stassen and Bishop, 1983b; Schlenker et al., 1983; Schlenker and Shaughnessy, 1984~. Also nonprofit facilities tend to have a higher proportion of private-pay patients, who tend to be more functionally dependent than Med- icaid patients (Liu and Mossey, 1980; Schlenker and Shaughnessy, 1984~. Thus, to the extent that prior studies have not captured all rele- vant dimensions of case mix variation, they may overestimate the cost differential associ- ated with ownership per se. In addition, the proxies for quality used in cost studies are at best only partial measures of quality and, et worst, are unrelated to either quality of care or quality of life. Host studies use resource inputs as proxies for quality, al- though studies have found a weak relationship between inputs and process and outcome mea- sures of quality. Even code violations, the ma- jority of which are reflections of deficiencies in structural and input standards, are inade- quate measures of quality. Thus, some varia- tion in costs may be associated with unmeasured differences in quality. Finally, the few analyses that focused on "charges" by facilities-rather than only their reported costs found little or no differences between for-profit and nonprofit nursing homes. Once the analysis included the proprietary firms' profit factor and total charges, the dif- ferences between ownership types dimin- ished. While these results may be an artifact of the states studied or the time period, they raise interesting issues that should be ad- dressed in fixture research before firm conclu- sions are reached about the economic efficiency of different ownership forms.39
526 The Problem of Access to Care Much of the impetus for ^Medicare and Med- icaid came hom a growing commitment among policymakers to equality of access to health care. In this spirit, the Presidential Commis- sion for the Study of Ethical Problems in Med- icine and Biomedical and Behavioral Research concluded in 1983 that society has an ethical obligation to assure access to an "adequate level" of health care. Further, federal regulations make it clear that the Department of Health and Human Services and the state Medicaid agen- cies have an obligation to ensure that program beneficiaries have equitable access to care. Nevertheless, access remains a serious prob- lem for many people who are eligible for Me<l- icare and Medicaid and need nursing home care. Discriminatory Practices: Patient "Creaming" Discrimination takes many forms. Many nursing homes maintain separate waiting lists for individuals seeking admission one for pri- vate-paying patients and another for Medicaid recipients.40 Other homes require as a condi- tion of admission that the patient and/or his or her family sign a contract promising to pay the facility privately (at whatever rate the facility determines) for periods ranging from 6 months to 3 years before the facility will accept Med- icaid as payment.42 For instance, a New Jersey task force estimated that 80 percept ofthe state nursing homes require fixed periods of private pay for up to 3 years (U.S. Senate Special Committee on Aging, 1984~. Other facilities "discharge" or evict individuals when they ex- haust their private resources and become el- igible for Medicaid. Nursing homes have also evicted Medicaid recipients when a private- paying patient has sought admission (Ohio Nursing Home Commission, 1979; U. S. Sen- ate Special Committee on Aging, 1984~. Fi- nally, ombudsmen charge that nursing homes also discriminate against Medicaid recipients in room assignments and services (U.S. Senate Special Committee on Aging, 1984~. Access to nursing home services is a partic- ular problem for two groups: Medicaid pa- tients and those individuals with "heavy care FOR-PROFIT ENTERPRISE IN HEALTH CARE needs" (Greenless et al., 1982; Schlenker, 1984; Scanlon, 1980a,b; Feder and Scanlon, 1980, 1982; Cotterill, 1983; Institute of Medicine, 1981; U.S. Senate Special Committee on Ag- ing, 1984~. The National Summary of State Nursing Home Ombudsman Reports for the United States reported in fiscal year 1982 that discrimination against Medicaid recipients or potential Medicaid recipients was identified as a major problem in 21 states and was the fourth most frequently mentioned problem out of 74 problems cited by the ombudsman programs. In addition to discrimination based on pay- ment source, nursing homes often discrimi- nate against those individuals most in need of nursing home care. The GAO (1983b) sum- marized 11 studies conducted since 1979 and concluded that severe access problems and discrimination were occurring on the basis of patient "handicap." Individuals who required especially heavy care or substantial "hands-on" care, such as those persons suffering from Alz- heimer's Disease and other related disorders, were "backed-up" in hospitals awaiting nurs- ing home placement-even when there were empty nursing home beds in the community. Access problems are particularly severe for individuals with dementia. Because such in- dividuals are often defined as not requiring rehabilitative therapies or daily care from an RN, they generally do not qualify for Medicare or for "skilled care," which is reimbursed at a higher level in many states. They do, however, require substantial care and assistance with activities of daily living. This hands-on care and frequent supervision is costly for nursing homes even if provided by aides. As a result, nursing homes have an incentive to select from their waiting lists individuals with the fewest functional disabilities and with the least men- tal impairment. This incentive is particularly strong under reimbursement systems that pro- vide the same Medicaid rate for every pa- tient- regardless of the degree of physical and mental impairment. Access problems of Medicaid recipients and heavy care padents may become quality of care problems after they find nursing home place- ment. On the basis of an analysis of national data for 1969 and 1973, Scanlon (1980b) posits a "dual" market in which private-pay patients receive desired care (at the market price) while
THE NURSING HOME INDUSTRY public-pay patients will receive care only alter the private demand has been satisfied. The result is not only a dual market in terms of demand but also a dual market in terms of supply, with Medicaid patients having access to those homes least able to compete success- fully for private-pay patients. Thus, it is not surpnsing that, as Schlenker (1984) notes: "Several . . . studies found higher quality . . . associated with a lower Medicaid share and lower overall occupancy rate, both of which suggest access barriers for Medicaid recipi ents. The finding that Medicaid utilization rates are associated with lower quality of care is fairly consistent (Bishop, 1980~. The Ohio Nursing Home Commission (1979) found Mat 75 per- cent of the "low quality" homes had very high percentages (80 to 100 percent) of Medicaid patients, while only one (4 percent) of Me '`high quality" homes had such a high percentage of Medicaid patients. The commission reported that Both the Commission and the Ombudsman have received many complaints from relatives, hospital social workers, county (welfare) personnel, etc., about the difficulty of placing Medicaid patients in homes offering high quality care. Sadly, the Commission's study of a sample of homes providing either very good or very poor care confirmed this testimony .... The Commission concludes Mat Ohio isfac~ng the development of a two-class system of long-term health care, with Medicaid recipients having ready access to care in only a few of the best homes and thus being forced to become patients in Me state's worst homes. In effect, discrimination makes the opera- tion of substandard homes financially viable. With severely limited choice, such patients often have no option but to enter whatever nursing home will accept them, even though it may provide undesirable quality of care, for as Beverly Enterprises noted in an annual re- port to the SEC, "There is little, if any, com- petition in price, services, or quality with respect to Medicare and Medicaid patients" (Beverly Enterprises, 1980~. Reasons for Discrimination Private-pay patients are much more lucra- tive for nursing home owners because of Med 527 icare and Medicaid payment limits. Some limits have to do with whether particular costs are allowable. In other cases, some states set "ceil- ings" on reimbursable costs or employ pro- spective or flat-rate systems to pay homes a set amount per patient day. Often that rate is based on some percentage of the average re- ported costs of similar facilities and is inde- pendent of any one facility's costs of providing care. A "reasonable" payment rate may be set, as in some states, at the 60th percentile or lower of average costs for all facilities in a "class." Thus, Medicare and Medicaid provide nursing homes with relatively little price flexibility, while nursing homes are able to charge much higher rates to private-pay patients (Montgom- ery Securities, 1983~. Health planning limitations and moratoria on new nursing home bed construction may also facilitate discrimination by contributing to very high occupancy rates in nursing homes in most parts of the country. Occupancy rates of better than 95 percent are the no-. In addition, there are few alternatives to nursing home care for those people who need long- term care on a daily basis. This combination of tight supply and a relatively inelastic de- mand gives nursing homes much flexibility in setting charges to private-pay patients and, for good quality homes, the ability to discriminate and still maintain high occupancy rates. Price data for private-pay patients, as com- pared to Medicaid and Medicare patients, is difficult to determine (Lane, 1984~. If charges reported on Medicare cost reports are indic- ative of private-pay rates, the differential may be between 13 and 18 percent, although some estimates of the differential are as high as 20 percent (Lane, 1984~. Montgomery Securities, using more current data, estimates that pri- vate-pay rates, on average, range up to 30 per- cent above Medicaid and Medicare rates. Based on its survey of nursing homes, Montgomery Securities (1983) reports the 1982 rates as shown in Table 12. The analysts conclude private-pay patients are central to a nursing home's profitability. Thus, nursing homes have a strong financial incentive to discriminate against Medicaid pa- tients in favor of private-pay patients. The Montgomery Securities analysts comment
528 FOR-PROFIT ENTERPRISE IN HEALTH CARE TABLE 12 Nursing Home Rates by Payee for 1982 Bed Size Payee 1-59 60-299 300 ~ Medicaid SNF $39.46 $39.22 $50.87 Medicaid ICE 32.78 30.96 42.30 Medicare 52.00-55.00 52.00-55.00 52.0~55.00 Pnvate-pay 46.00-112.00 46.00-109.00 50.00-54.00 SOURCE: Montgomery Securities (19839. The higher the percentage load of private pay pa- tients in the home's mix, the greater the nursing home's ability to cost and price shift, and the greater the prospects of increased profits (Montgomery Se- curities, 1983~. Ownership and Discrimination Evidence suggests that all nursing homes that can attract private-pay patients discrimi- nate in their favor and against Medicaid pa- tients. Nonprofit homes and facilities that are part of some of the major proprietary nursing home chains seem most successful in achieving a relatively high percentage of private-pay pa- tients. Most empirical analyses have found that nonprofit facilities have a lower than average Medicaid utilization rate. While Winn (1974) found no significant relationship between type of ownership and rate of public assistance pa- tients in Washington state nursing homes, most other analyses have found an association be- tween nonprofit status and a lower Medicaid share. Gottesman (1974) found that proprie- tary facilities were more likely to serve Med- icaid patients. Brooks and HofEnan (1978) found no difference in Medicaid utilization rates in SNFs based on ownership, but there was a significant difference in ICFs. Among the non- profit ICFs in this study, the Medicaid utili- zation rate was 57 percent while in the proprietary homes the rate was 71 percent. Studies in Ohio (Ohio Nursing Home Com- mission, 1979) and California (Vladeck, 1980) show the proportion of Medicaid patients to be higher in for-pro~t than in nonprofit facil- ities. In Texas the pattern was the same, as Table 13 indicates. Several of the major nursing home chains also have relatively low percentages of Med icaid recipients. For some, this is the product of a deliberate strategy. Care Enterprises (1984), for example, notes in its report to the SEC that Care believes that rehabilitative services at its SNFs are relatively more profitable than other nursing services `and have enhanced its ability to attract pri- vate and Medicare patients This chain reported that in 1982 the com- pany was able to increase its revenues quite substantially over the prior year via increases in billing rates and changes in the mix of pri- vate, Medicare, and Medicaid patients. In 1982, Care Enterprises had an average Medicaid uti- lization rate of 60 percent, with 22 percent private pay and 16 percent Medicare.42 Care Enterprises is not alone in seeking to increase its private-pay patient load and de- crease Medicaid utilization. Hillhaven/Na- tional Medical Enterprises is also concentrating on keeping a "favorable" mix of private-pay patients (Punch, 1984~. However, the most ag- gressive large chain in this regard is Manor Care. In Ohio, Manor Care attempted to evict individuals whose care was paid for by kIed- icaid during the late 1970s (Ohio Nursing Home Commission, 1979~. More recently Manor Care has "targeted" its acquisitions, purchasing fa- cilities that already have high private-pay uti- lization rates and selling oE homes with too many Medicaid patients. In 1982, for instance, Manor Care sold 14 facilities because they did not have sufficiently high ratios of private to Medicaid patients. As Manor Care (1981) noted in its report to the SEC, "As a general rule, the margin of profits is higher with private patients." The report continued, Manor Care attempts to locate and operate its nurs- ing centers in a manner designed to attract patients
THE NURSING HOME INDUSTRY TABLE 13 Average Percentage of Medicaid Days of Service by Owner Type, Texas (percentage) Type of Facility 1978 1979 1980 1981 All facilities 77.7 79.1 78.5 77.1 For-profit facilities 80.0 80.6 80.6 79.3 Nonprofit facilities 64.7 68.0 65.4 61.9 SOURCE: Moden (1982). who pay directly to the facilities for senaces without benefit of any government assistance program. Evidence of its success in attracting private- pay patients and the greater price flexibility they have with these patients can be seen in the data displayed in Table 14. Summary and Conclusions Regarding Access There is substantial evidence that Medicaid recipients some two-thirds of all long-stay nursing home patients and those with heavy care needs experience discrimination in access to nursing homes and that such discrimination places Medicaid patients disproportionately in homes that provide the lowest quality of care. The evidence is also clear Mat nonprofit homes provide the fewest beds on the average to Medicaid patients and that some nursing home chains systematically seek to reduce the pro- portion of Medicaid patients in their facilities. Further, there is evidence that suggests dis- crimination and that a facility's patient mix has quality implications. Caswell and Cleverley (1978, 1983) argue that there is a differential effect of ownership control status on the re- lationship of Medicaid utilization to cost and 529 quality. They found that, in general, increas- ing Medicaid utilization in a facility is associ- ated with lower costs, particularly in patient care expenses. However, they found that for- profit facilities react more strongly than non- profits to increasing Medicaid utilization. The nonprofits appear to reduce patient care ex- penditures far less than do for-profits as the proportion of Medicaid patients in the facility increases. Thus, while the evident discrimi- nation is a matter of concern in terms of free- dom of choice for consumers, it may also negatively affect the health, well-being, and quality of life of vast numbers of the aged and disabled. SUMMARY AND CONCLUSIONS The nursing home industry's growth has re- sulted from a multiplicity of factors. The in- fusion of public dollars, a growth in need, and the interplay of policies aimed at other insti- tutions have aided that growth. In the process of growing, the industry has also fundamen- tally changed. Some of the most profound charges include an increasingly medically on- ented setting, a shift from smaller to larger facilities, a move away Tom government-owned and voluntary (not-for-profit) homes to pro TABLE 14 Proportion of Inpatient Days to Revenues by Payee-Manor Care (percentage) Type of Payer 1980 1981 1982 Pnvate-pay patients 60/66 61/65 54/61 Medicaid patients 32/23 30/25 36/26 Medicare patients 7/8 8/8 10/13 SOURCE: Manor Care 10K reports filed with the SEC for 1980, 1981, and 1982.
530 prietary ones, and a growing concentration of ownership in multifacility chains that are di- versifying vertically and horizontally. Most re- cently, we see diversification of nursing homes into other areas of long-term care (e.g., re- tirement or life care community home health, durable medical equipment) and increasing participation of hospitals in the direct provi- sion of long-term care ("swing beds" and cer- tification of hospital wings as nursing homes). In many ways, these changes in the nursing home industry simply mirror developments in the wider health care sector. Throughout the American health care system, there is an in- creasing trend toward corporatization. The emergence of the large, multisystem corporate health care providers seems to herald a new era in American health care. These develop- ments are altering not only the structure of decision making and locus of power, but per- haps the structure and performance ofthe health care system as well. Summary of the Findines on Oxalic Cost, and Access O By, ~ ~, , Perhaps the most consistent finding of em- pirical studies and analyses of state level data is that, on the average, nonprofit nursing homes provide better quality of care and quality of life to residents than do the for-profits. Cer- tainly there are some qualifications to this con- clusion. The size and patient composition of a nursing home, for instance, may influence the performance of the facility, independent of its ownership, in ways that affect quality. Fur- ther, the indicators most commonly used are generally viewed as inadequate measures of quality of care and life, although they do ap- pear to capture some important dimensions of variations in quality. In addition, it is clearly true that many proprietary nursing homes pro- vide excellent care, and that some nonprofit facilities provide poor care. Despite such qual- ifications, however, the evidence for the su- periority of nonprofit owners seems conclusive. The scant evidence about the relative per- formance of the nursing home chains, how- ever, is more mixed. Studies using a national sample of facilities have generally found no differences between the chains' performance and that of other nursing homes. Data that FOR-PROFIT ENTERPRISE IN HEALTH CARE allow us to disaggregate the chains into large, multistate chains and individually owned, sin- gle state chains suggest that the multistate chains, at least in Ohio, perform more ac- ceptably than either nonchain proprietaries or individually owned proprietary chains. Anal- ysis of data from Texas, however, suggests that there may be significant differences in perfor- mance among the major multistate nursing home chains. Some large chains may provide very poor care, while others seem to provide acceptable, even very good care. This suggests that all nursing home chains do not pursue identical organizational goals and exhibit sim- ilar behaviors. Thus, the use of national or state level data that do not disaggregate the chains into more precise ownership forms, and even possibly individual corporate identities, may not yield useful information on the rela- tive performance of various types of owners. The evidence we do have about some of the nursing home chains particularly the largest ones does raise some serious concerns about cost, quality, and access. The evident ability and willingness of some major nursing home chains to finance their growth by increased allocation of funds to property costs and re- duced expenditures on food, staffing, and so- cial services is a cause for concern. The consistent pattern among many of the most rapidly expanding chains of spending propor- tionately less than the average (and less than nonprofits) on direct patient care and more on property and administrationlhome office fees raises the specter of growth and increased profitability occurring at the expense of the public purse and patient welfare. Further, the general pattern of differences among non- profits and proprietary nursing homes, with the nonprofits consistently spending propor- tionately more on patient care and the for- profits spending more on property arid ad- ministration, suggests that the cost offor-profit health care may be quite high, particularly for the most vulnerable members of our society the infirm and disabled elderly. While the findings about the impact of own- ership on quality seem relatively clear, data about variations in cost and "efficiency" are more difficult to interpret. In general, empir- ical studies find that nonprofits are more costly. Controlling for other factors known to affect
THE NURSING HOME INDUSTRY costs, such as size, location, and so on, reduces the magnitude of the difference in costs be- tween nonprofits and proprietary nursing homes, but these other variables do not elim- inate this difference. Even when proxies for quality and the patient case mix are intro- duced, some difference remains. Thus, some analysts argue that proprietary nursing homes are more efficient- that is, they can attain a given level of"quality" at a lower cost than the nonprofits. These findings are subject to serious qual- ification. First, most of the studies use inad- equate measures of patient case mix. In addition, the proxies for quality that have been used in these cost studies are at best only par- tial measures. Thus, some portion of the var- iation in costs between nonprofit facilities and for-profit nursing homes may be associated with unmeasured variations in case mix and quality. Finally, studies tend to focus on reported costs without including the profit factor or the charges to private-pay patients. Thus, the magnitude of the differences between the two ownership types is difficult to gauge accurately. These issues should be addressed in future research before firm conclusions are reached about the economic efficiency of different ownership forms. The findings about accessibility for public- pay (Medicaid) and "heavy care" patients are uniformly disheartening. Available evidence suggests active discrimination by nearly all homes having a queue of individuals desiring admittance. Those homes that seem to prac- tice discrimination most consistently are the nonprofits and some of the major proprietary corporate chains. Further, achieving a higher proportion of private-pay patients is the an- nounced policy of most of the large, publicly held nursing home chains. To the degree that this is implemented and these chains expand their holdings, equity of access will become an even greater problem. What the nation faces is the entrenchment of a two-class system of long-term care, with the elderly who need the most care and those have become impover- ished in paying for health care having ready access only to those facilities that provide the lowest quality of care. 531 Implications for the Hospital Sector The data presented in this paper suggest that the development of for-profit nursing homes and their dominance in this sector has gone far to meet demand that would not oth- erwise have been met. But, this emergence and expansion has had significant costs, par- ticularly in terms of the quality of long-term care. In an arena of frequently low levels of payment, proprietary nursing homes have been profitable, but quality and access problems have been persistent. In general, observers have felt that the problems of quality assurance and cost control in the nursing home sector were significantly different from those seen in the hospital sec- tor. Quality control mechanisms that are thought to be effective in other health care sectors are largely absent in long-term care. First, long-term care patients are largely in- effective as consumers. They are disadvan- taged in making informed initial choices, switching to other providers when dissatisfied, or using medical malpractice or consumer pro- tection statutes to secure high quality of care. Moreover, most lack family who could serve as effective advocates in their stead. Second, the usual professional checks on quality that are thought to exist in hospitals do not exist in nursing homes. Physicians are largely an absent or impotent force for quality control (U.S. Senate Special Committee on Aging, 1975a; N. Rango, personal communi- cation, 19851. In addition, nursing homes have lower sta8-to-patient ratios for direct-care staff than hospitals and place greater reliance on untrained aides and orderlies who provide 80 to 90 percent of all patient care. Many nursing homes do not have an RN on staff, and most have a single RN for only 40 hours per week (B. Cornelius, Office of Research and Dem- onstrations, Health Care Financing Review, U.S. Department of Health and Human Ser- vices, personal communication, 1985). Thus, trained and experienced health care profes- sionals play a much less significant role in the control and daily operation of nursing homes than in hospitals. This difference in resource inputs has significant implications both for the provision of care and for the ability of nursing
532 homes to develop and implement quality mon- itoring and assurance programs. Third, there are significant structural dif- ferences between hospitals and nursing homes. Hospitals are still largely not-for-profit insti- tutions and are presumed to operate under a set of professional and ethical norms that con- strain their behavior to the benefit of patients. Nursing homes, however, are largely proprie- tary. As businesses, they must calculate the scope and quality of the services they provide with an eye constantly turned toward profit- ability goals. Fourth, state and federal policies designed to contain long-term care costs may contain powerful incentives inimical to the provision of high quality care. These are primarily cost containment measures adopted in the last few years, such as prospective payment systems, reimbursement ceilings, and moratoria on new nursing home bed construction. For nursing homes with sizable populations of patients supported by Medicaid, such reimbursement policies contain incentives that tend to inhibit admission of those most in need of care and that may encourage reductions in staffing and food. Under prospective reimbursement sys- tems that have been instituted in a number of states, payment rates are set in advance and homes are allowed to retain the difference be- tween the rate and what they actually spend. Operating at the same level of quality but more efficiently is clearly the most socially desirable way of achieving profits in such a system; how- ever, shifting to a less-costly-to-care-for pa- tient mix is another way for facilities to achieve profits under such a system.43 Reducing the scope and quality of services is a third way for homes to achieve profits. Reducing variable expenditures such as staffing, activities, and food is the simplest way for homes to hold their expenditures below prospective rates. Thus, discrimination and reductions in the level and quality of services are two ways in which homes may respond to these cost containment initiatives. The evidence on discrimination is clear, and there is some evidence that many nursing homes, the proprietaries in particular, may be reducing quality in response to severe reimbursement constraints (Schlenker, 1984; Birnbaum et al., 1979, 1981; Caswell and Cleverley, 1978; Holahan, 1984~. FOR-PROFIT ENTERPRISE IN HEALTH CARE Finally, restrictive health planning and more stringent reimbursement policies have re- sulted in slowed construction of new nursing homes. In addition, there are few community- based services that can substitute for nursing home care. Because demand for longterm care exceeds supply, homes have little incentive to compete for Medicaid patients by offering higher quality. The only competition along quality lines occurs among homes that seek to maintain a high percentage of the more prof- itable private-paying patients. Thus, compe- tition among providers is an unreliable mechanism for assuring quality in nursing homes. Given changes in the structure of hospital ownership and in payment mechanisms, some of the apparent differences between the hos- pital and nursing home sectors may diminish. The emergence of a strong proprietary sector and of hospital chains that are growing verti- cally and horizontally represents a striking similarity to developments in the nursing home industry. Further, increasing concern with es- calating hospital costs and the development of Medicare's prospective payment system are very similar to prior developments in the long- term care sector. This convergence of an emerging proprietary sector and tightened reimbursement policies could produce some of the negative consequences associated with the long-term care sector. To a large extent, three factors are likely to determine the ultimate outcome of such de- velopments: (1) the response of health profes- sionals to a changing environment; (2) the response of patients and their willingness and ability to become more effective consumers; and (3) the ability of regulatory and peer re- view agencies to exert a strong influence for quality assurance. At the least, such devel- opments suggest the need for more sophisti- cated and substantial quality assurance activities by public and private agencies to monitor ac- curately the effects on quality and access and to ensure that unacceptable reductions in quality and access do not occur. - NOTES I Both Medicare- and Medicaid-eligible patients pay for part of their nursing home care; these individuals
THE NURSING HOME INDUSTRY must make copayments (Medicare) or devote nearly all of their income for care before Medicaid pays for the additional nursing home charges. In addition, private- pay patients tend to pay somewhat higher rates than Medicare and Medicaid patients. These two factors ex- plain why half the dollars but a larger proportion of the patients are accounted for under government plans. 2This phrase is so apt that I've stolen it directly from Vladeck (1980~. 3Indeed, these homes for the aged, dominated by immigrant and religious groups, are the forebears of the large, voluntary homes of today. 4Even in the 1930s, there was widespread concern and dissatisfaction with conditions in many proprietary nursing homes. The facilities were often aged and di- lapidated houses, farms, or small motels that had been converted to use as a nursing home. Nursing and med- ical care were minimal at best, and reports of patient abuse were widespread. These prompted calls for re- form-for state licensing and inspection. But the di- lemma that still plagues the regulatory system arose then with a shortage of facilities, the imposition of stricter standards would mean closing some, perhaps many, facilities, aggravating the bed shortage. Like modern regulatory officials, most states chose educa- tion and exhortation in an attempt to improve the fa- cilities rather than development and enforcement of stricter standards of care (Vladeck, 1980; McClure, 1968; Thomas, 1969~. sOne of the major forces contributing to the grown of nursing homes is the dramatic increase in the num- ber and proportion of the population that is aged. The proportion of the U. S. population 65 years of age and older has increased from 4.4 percent in 1900 to 11.7 percent in 1983. Moreover, the projections are that by the end of the century, between 35 million and 37 million people, at least 13.1 percent of the population, will be aged. Moreover, the fastest growing cohort of the population is the very old- those most at risk in terms of needing long-term care services (Manton, 1984; Torrey, 1984; U.S. Bureau of the Census, 1983~. Only with the availability of financial assistance, however, is this need translated into demand for nursing home care, since the majority of the aged who actually need long-term care cannot afford to pay for the care they require. regrowth in bed supply has leveled off for a variety of reasons since the mid-1970s. 7For 1984, only 49 publicly held nursing home chains are listed with the SEC. An additional number of mul- tifacility nursing home chains are owned and operated as subsidiaries of hospital chains. BThere are basically two types of nursing home res- idents-the "short-stay" patients whose average length of stay is less than 3 months, and the "long-stay" res- idents whose average LOS is more than 2.5 years (Liu and Mossey, 1980). While the short-stay residents con 533 stitute a sizeable proportion of admissions, on any given day the "long-stayers" are the majority of nursing home patients. fin addition, ongoing debate and ships in policy about whether public programs will reimburse higher capital or property costs that result from sales/purchases of nursing homes is also likely to affect the rate of chain growth. inactive imposition of the LSC was delayed for sev- eral years in order to give facilities ample opportunity to come into compliance with what is fundamentally a federal fire safety code. CHEW was renamed the U. S. Department of Health and Human Services (HHS) in 1981. Enduring the early years of a mortgage, most of the payment is for interest on the loan; relatively little is applied to the principal. Depreciation payments by the state, however, are usually calculated on a 20- to 30- year life expectancy for a new nursing home and made on a straight-line basis. Thus, under most of the 1970s' cost-related systems, in the early years of a mortgage, the depreciation payment from the state to the facility exceeds the amount the facility actually has to pay the mortgage holder as the principal payment. (Interest is a direct pass-through.) The result is a positive cash flow to the facility during those years and an incentive to sell the facility as a depreciation payment from the state approaches the amount of the mortgage that is payment toward the principal (see Baldwin, 1980~. Many states found nursing homes responding to this incentive, with proprietary facilities being sold as often as every three to four years, providing indirect profits to the facilities and increased costs (but not services) to the states (Ohio Nursing Home Commission, 1979; Washington Sen- ate, 1978~. This made many individual owners willing, even eager, to sell. Often owners would sell the facility to a chain and then lease it back to operate (see also Shulman and Galanter, 19769. For instance, in 1983, Beverly, the largest chain, leased more than half its facilities, and this is fairly common (Beverly Enter- prises, lOK report filed with the SEC, 1983~. Cone of the prevailing myths about long-terTn care is that the elderly are in nursing homes because their families have abandoned them. This is simply untrue- unless dying is viewed as abandonment. Long-term care is predominantly an issue involving widowed or single elderly women. Half of all nursing home resi- dents have no immediate relatives living in close prox- imity. Those patients who do have relatives tend to be very functionally dependent (in terms of needing as- sistance in the activities of daily living, such as dressing, eating, walking, and toileting) and also mentally im- paired (Barney, 1974; Liu and Mossey, 1980~. 24 For example, Beverly Enterprises' operation of 13 percent ofthe facilities in Texas (a low-rate, prospective reimbursement state) has average net revenues per patient day that are 2 percent lower than the average
534 for all Texas facilities but net income that is 22 percent higher. 75Some observers, such as Scanlon and Feder (1980) cite "inadequacy" of return as a potentially more im- portant cause of declining growth. Data on the prof- itability of nursing homes, particularly the "chains" call this into question (U.S. Senate Special Committee on Aging, 1984~. 26Many reimbursement systems exclude nonprofit owners from return on equity a "profit" factor. Thus, nonprofit providers may receive less from Medicaid (and Medicare) programs than for-profit entities with comparable costs. 27The Tax Equity and Financial Responsibility Act of 1982 (TEFRA) eliminated some of the future benefits of ERTA. 28 For instance, CENCO, one of the larger chains in 1979-1980, was the target of a major Wall Street battle and was eventually acquired by Manor Care. National Health Enterprises, the sixth largest nursing home chain in 1981 and Flagg Industries (number 20) were ac- quired by Hillhaven/National Medical Enterprises. Mediplex (number 8), Commercial Management (num- ber 11), and Beacon Hill (number 21) have been ac- quired by or merged with Beverly Enterprises, which also acquired other small-to-medium size chains (e.g., P&H Enterprises, Inc.; Consolidated Liberty; PMG, Inc.~. 29Demand is a function of need and ability and will- ingness to pay. 20Two-thirds of all middle-income patients in nursing homes spend their life savings within 2 years of ad- mission and become Medicaid patients (U.S. Senate Special Committee on Aging, 1984~. 22 It is well to note, as Vladeck (1980) does, that these institutions do labor under some incentives that are similar to those of the for-profits. 'tithe voluntaries may not be profit-maximizers, but they invariably operate under the constraint of trying at least to break even" (Vladeck, 19801. They may, however, select different methods than the for-profits to break even. 22 Two such chains report (in their filings with the SEC) that the decision to expend funds upgrading newly purchased facilities is part of a corporate strategy aimed at attracting more private-pay and Medicare patients- who are more lucrative for the nursing home. 23Again, this may vary by chain. In addition, the record of Beverly Enterprises in Texas indicates that it has a disproportionate number of significant viola- tions. Indeed, there is some evidence that Beverly does not promptly correct deficiencies when cited, since it has received a disproportionate share of punitive ac- tions for failure to correct violations. 24Schlenker (1984), in reviewing studies on the re- lationship between costs, reimbursement policies and quality of care, argues that RN hours and dietary costs may be good indicators of quality. "A more intense FOR-PROFIT ENTERPRISE IN HEALTH CARE case mix and/or higher quality care should require some combination of more nursing hours per patient day, a greater ratio . . . RN or . . . LPN hours to aide hours, and possibly higher wage rates to reflect higher skill levels.... (Higher dietary costs may also be related) since nutritional adequacy is important to patients' overall health." Awhile the high-quality homes outspent the low- quality homes on these items, the low-quality facilities had higher expenditures on administrator salaries, legal and accounting fees, and motor vehicles; they also seem to substitute LPNs for RNs. 26Nonprofits tended to have more beds, more build- ings, and more floors in the building; they also tended to have more single rooms, more ward rooms (with five or more patients per room), and more bathrooms. 27An alternative explanation is that these facilities offer such low quality oicare that they can attract only those individuals with no other choices, such as the elderly poor and disabled without family or other social supports (see Greene and Monahan, 1981; Ohio Nurs- ing Home Commission, 1979~. 28The FotUer et al. (1981) study used multiple regression analysis to study the relationship between profits per patient day (ppd) and four measures of qual- ity: (1) skilled nursing hours ppd.; (2) nonnursing hours ppd.; (3) total nursing and nonnursing hours ppd. and (4) staffing ratios. They argue that these are usefill sur- rogates for the quality of patient care and found that "profitability increases as the service intensity (quantity and quality of labor inputs) decreases." The study fo- cused on 43 nursing homes in California. 29The commission also reported a strong correlation between the level of profitability and lower expendi- tures on food, dietary salaries, medical supplies, nurse's aides, medical and rehabilitative care, electricity, and housekeeping. 30Elwell notes that although some of the spending differences do not appear large, the figures represent per patient per day expenditures. He observes that reductions in such spending, even relatively small ones, can result in substantial savings for the facility. For instance, "by spending 35¢ less ppd for nursing, the average SNF (which in New York had 44,867 inpatient days in 1976) could save over $15,700 per year" (Elwell, 1984~. 3~Of those 45 facilities, 37 were earning profits on the Medicaid rate alone. 32Koetting also concluded that proprietary homes were more efficient that is, they were able to attain a given level of quality at a lower cost than the nonprofit fa- cilides. In addition, he found that cost and quality of care were only wealdy related (Koetting, 1980~. 33The performance of Beverly Enterprises, one of the major chains operating facilities in California, was particularly poor. According to an analysis of the Cal- ifornia Health Facilities Commission data by the AFL
THE NURSING HOME INDUSTRY CIO (1983a), "Beverly's . . . performance was abysmal. For 35 homes listed as belonging to Beverly, the av- erage number of citations (per facility) came to 2.31, with 9 of the 35 exceeding the California standards . to rank among the worst homes in the state." 34The department does not maintain a listing by type of owner; therefore, the listing of facilities receiving some form of punitive action has to be matched against a separate ownership file. The control (ownership) type of four facilities terminated from the program could not be determined from these files. 35The study, however, did not find a relationship between staff ratios (resource inputs) and other quality of care measures. "The correlations are found all uni- formly insignificant" (Lee, 1984~. 36In Ohio, the multistate chains were Manor Care, Hillhaven, HCF (now Health Care and Retirement Fund, Inc.), Medicenters, and Americare. The data are derived from cost reports submitted to the Ohio Department of Public Welfare by 579 (77 percent) of the nursing homes participating in the Ohio Medicaid program in 1977. Eighty-five percent were for-profit facilities. Of these, 78 percent were operated by in- dividual owners; 16 percent were owned by small, in- trastate chains; and 8.5 percent (32 facilities) were part of large multistate nursing home chains. 37This seems to be borne out by anecdotal testimony and evidence presented to and gathered by the Ohio Nursing Home Commission. The major stockholder of the largest intrastate chain was indicted for Medicaid fraud and was the subject of several health department compliance actions. Two other intrastate chains had an unchallenged reputation for providing truly vile care. 38Management fees are significantly positively cor- related with increased spending on other administra- tive salaries; office supplies and printing; communication; travel and other motor vehicle; advertising and public relations; legal and accounting fees; and other admin- istrative . . . services" (Ohio Nursing Home Commis- sion, 1979~. 39 Such studies should also take into account the va- riety of services that are provided under the daily rate and are incorporated in costs, as well as noting those services for which additional charges are billed to pa- tients. 40 Since Medicare pays for only about 2 percent of all expenditures on nursing home care, problems Med- icare beneficiaries experience have not been as well- documented; moreover, they may be a result of the unwillingness of many homes to meet the higher cer- tification and audit standards associated with Medicare rather than a result of the payment rate or disability of patients. 4~". . . two-thirds of all middle income patients in nursing homes spend their life savings within 2 years of admission and become Medicaid patients" (U. S. Sen- ate Special Committee on Aging, 1984~. 535 42The data are far from precise, but the average Med- icaid utilization nationwide appears to be between 64 and 70 percent. In some states, of course, it is much higher, as in North Carolina where 89 percent of the patients receive assistance from Medicaid. 43One of the most common myths is that quality is low because profits are low or nonexistent. Research does not support this myth (Ohio Nursing Home Com- mission, 1979~. Most for-profit homes earn healthy re- turns. It is the incentives inherent in reimbursment systems that seem to affect quality, not merely the rate, although clearly reimbursement rates must be suffi- cient to cover genuine, reasonable costs if quality of care is to be achieved (Schlenker, 1984~. REFERENCES AND BIBLIOGRAPHY AFL-CIO, Executive Council (1977) Nursing Homes and the Nation's Elderly: AnKrica's Nursing Homes Prof t in Human Misery. Bad Harbour, Fla.: Statement and report adopted by the AFL-C10. AFL-CIO, Service Employees International Union (1983a) Beverly Enterprises in Michigan: A Case Study of Corporate Takeover of Health Care Resources. Washington, D.C.: The Food and Beverage Trades Department. AFL-CIO, Service Employees International Union (1983b). Beverly Enterprises Patient Care Record; Washington, D.C.: The Food and Beverage Trades Department, OFFICIO, January 27. Aging Health Policy Center (1983) Unpublished Telephone Survey of States, Nursing Home Supply Data. San Francisco: lhe University of California. American Association of Homes for the Aging (1981) Factors Influencing the Provision of Non-institutional Long-Term Care by Homes for the Aging. (Contract 18-p-976-24/3-01) Washington, D.C.: Health Care Fi- nancing Administration. Arrow, K. I. (1979) The limitations of the profit mo- tive. Challenge ~(Sept./Oct.):23-37. Baldwin, C. Y. (1980) Nursing home finance: Capital incentives under Medicaid. Discussion paper, Bran- deis University Health Policy Consortium, Waltham, Massachusetts. Baldwin, C. Y., and C. E. Bishop (1983) Return to nursing home investment: Issues for public policy. A paper prepared at the Brandeis University Health Pol- icy Consortium, Waltham, Massachusetts. Barney, J. (1974) Community presence as a key to quality of care in nursing homes. American Joumal of Public Health 64~3~:2~268. Beattie, W. M., and J. Bullock (1964) Evaluating services and personnel in facilities for the aged. In M. Leeds and H. Shore, eds., GeriatricInstitutional Man- agement. New York: Putnam. Beverly Enterprises (1980) 10K Report to the Se- curities and Exchange Commission, Washington, D.C.
536 Birnbaum, H., C. Bishop, G. Jensen, A. J. Lee, and D. Wilson (1979) Reimbursement Strategies for Nurs- ing Home Care: Developmental Cost Studies. Cam- bridge, Mass.: Abt Associates. (DHEW Contract No. 600-77-0068). Birnbaum, H., C. Bishop, A. J. Lee, and G. Jensen (1981) Why do nursing home costs vary? The deter- minants of pursing home costs. Medical Care 19~11~:109~- 1107. Birney, J. M. (1981) The Growing Market in Long Term Care and Retirement Living. New York: Furman, Selz, Lager, Dietz, and Birney. Bisenius, M. F. (1984) Quality of Health Care in Iowa Nursing Homes; Results from the ICE Outcome Oriented Survey, Decoders, 1982-Nov~rriber30, 1983. Des Moines: Iowa State Department of Health, Di- vision of Health Facilities. Bishop, C. (1980) Nursing home behavior under cost- related reimbursement. Discussion paper (DP-9, re- vised), Brandeis University, University Health Policy Consortium, Waltham, Massachusetts. Blyskal, J. (1981) Gray gold. Forbes, Nov. 23, pp. 80-81. Brody, E. M. (1977) Environmental factors in de- pendency. In A. N. Exton-Smith and J. G. Evans, eds. Care of the Elderly: Meeting the Challenge of Depen- dency. New York: Grune and Stratton. Brooks, C. H., and J. A. HolEnan (1978) Type of ownership and Medicaid use of nursing~are beds. Journal of Community Health 3~3~:236-244. Butler, R. N. (1976) We should end commerciali- zation in the care of older people in the U.S.: Some thoughts. International Journal of Aging and Human Development 7:87-90. California Commission on State Government Orga- nization and Economy (1983) The Bureaucracy of Care: Continuing Policy Issues for Nursing Home Services and Regulation. Sacramento. California Health Facilities Commission (1982) Eco- nomic criteria for health planning, FY 1981-1982tl982- 1983. In Long Term Care Facility Effectiveness Stan- dard~. Sacramento. Care Enterprises (1984) lOK Report to the Securities and Exchange Commission, Washington, D.C. Caswell, J., and W. Cleverley (1978) Final Report: CostAnalysis of Ohio Nursing Homes. Columbus: Ohio Department of Health. Caswell, R. J., and W. Cleverley (1983) Cost analysis of the Ohio nursing home industry. Health Services Research 18(Fall):359-382. Cohen, J. (1983) Public Programs Financing Long Term Care. Washington, D.C.: National Governors Association. Cotterill, P. G. (1983) Provider incentives under al- ternative reimbursement systems. In R. J. Vogel and H. C. Palmer, eds. Long-Term Care: Perspectivesfrom FOR-PROFIT ENTERPRISE IN [IEALTH CARE Research and Demonstrations. Washington, D.C.: Health Care Financing Administration. Covaleski, M. A., and C. J. Davis (1981) Capital maintenance and equity erosion in the nursing home industry: A study in one state. The Journal of Long- Term Care Administration (Fall):11-24. Cyr, A. B. (1983) Proxy case mix measures for nurs- ing homes. Inquiry 20(Winter):350-360. Doty, P., K. Liu, and J. Weiner (1985) An overview of long-term care. Healthcare Financing Review 6~3~:69- 78. Dunlop, B. (1979) The Growth of Nursing Home Care. Lexington, Mass.: Lexington Books. Elliott, J. R., Jr. (1969) No tired blood: Nursing home operators are long on enthusiasm, short on experience. Barron's, March 24. Elwell, F. (1984) The effects of ownership on insti- tutional services. Unpublished paper, Department of Sociology and Anthropology, Murray State University, Murray, Kentucky. Etzioni, A., and P. Doty (1976) Profit in not-for- profit corporations: The example of health care. Polit- ical Science Quarterly 91(Fall):433~53. Fackelmann, K. (1985) Manor Care chain's large profits a result of wooing wealthy patients. Modern Healthcare 15(February): 14~148. Feder, J., and W. Scanlon (1980) Regulating the nursing home bed supply. Milbank Memorial Fund Quarterly Health and Society 58January) 54-58. Feder, J., and W. Scanlon (1981) Medicare and Med- icaid Patients' Access to Skilled Nursing Facilities. A background report to the Health Care Financing Ad- ministration. Washington, D.C.: The Urban Institute. November. Feder, J., and W. Scanlon (1982) The underused benefit: Medicare's coverage of nursing home care. Milbank Memorial Fund QuarterlylHealth and Society 70:1152-1161. Fottler, M. D., H. L. Smith, and W. L. James (1981) Profits and patient care quality in nursing homes: Are they compatible? The Gerontologist 21~5~:532-538. Fraundorf, K. (1977) Competition and public policy in the nursing home industry. Journal of Econom* issues ll(September):601-634. GAO (U. S. General Accounting Once) (1979) Prob- lems in Auditing Medicaid Nursing Home Chains. Washington, D.C.: U. S. Government Printing Office. GAO (1982) Preliminary Findings on Patient Char- acteristics and State Medicaid Expenditures for Nurs- ing Home Care. Washington, D.C.: U. S. Government Printing Office. GAO (1983a) Hospital Merger Increased Medicare and Medicaid Payments for Capital Costs. Washing- ton, D. C.: U. S. Government Printing Office. GAO (1983b) Medicaid and Nursing Home Care: Cost Increases and the Needfor ServicesAre Creating Prob
THE NURSING HOME INDUSTRY lems for the States and the Elderly. Washington, D.C.: U. S. Government Printing Office. Gettlin, R. (1984) Medicare, Medicaid to pay hos- pitals $218 million. Durham Morning Herald, March 21, p. 5B. Gibson, R. M. (1979) National health expenditures, 1978. Health Care Financing Review 1-36. Gottesman, L. E. (1974) Nursing home performance as related to resident traits, ownership, size, and source of payment. American Journal of Public Health 64:269- 276. Greene, V. L., and D. Monahan (1981) Structure and operational factors affecting quality of patient care in nursing homes. Public Policy 29:399415. Greenless, l. S., Marshall, J. M., and Yett, D. E. (1982) Nursing home admissions policies under reim- bursement. The BellJourrm1 of Economies 13(Spring):93- 106. Greenwald, S., and M. W. Lin (1971) Intercorre- lations of data on nursing homes. The Gerontologist 11:337-340. Grimaldi, P. L. (1982) Medicaid Reimbursement of Nursing Home Care. Washington, D. C.: American En- terprise Institute for Public Policy Research. Harel, Z. (1981) Quality of care, congruence and well-being among institutionalized aged. The Geron- tolog~st 21~:523-531. Barrington, C. (1984) Public policy and the nursing home industry. International Journal of Health Ser- vices 14~3~:481490. Harringon, C., and L. Grant (1985) Nursing Home Bed Supply, Access and Quality of Care. San Fran- cisco: University of California at San Francisco, Aging Health Policy Center. EIarrington, C., and J. H. Swan (1984) Institutional long-term care services. In C. Harrington, R. J. New- comer, and C. L. Estes, eds. Long-Term Care of the Elderly: Public Policy Issues. Harrington, C., R. J. Newcomer, and C. L. Estes (1984) Long-Term Care for the Elderly: Public Policy Issues. Beverly Hills, Calif.: Sage Publications. Harris, M. (1981) American Now: The Anthropology of a Changing Culture. New York: Simon and Schus- ter. Hawes, C. (1976) Ownership and profits in the nurs- ing home industry. Draft memo to Val Halamandaris, U.S. Senate Subcommittee on Long-Telll~ Care. Hawes, C. (1978) Vertical and horizontal concen- tratron of ownership and interlocking relationships among the major nursing home chains. Memo and pre- sentation to the Inspector-General, Department of Health, Education, and Welfare. Hawes, C. (1983) Quality assurance in long-term care: Major problems and issues. A briefing paper prepared for the National Academy of Sciences Institute of Med- icine Committee on Nursing Home Regulation (No- vember). 537 Himmelstein, D. U., A. A. Jones, and S. Woolhand- ler (1983) Hypernatremic dehydration in nursing home patients: An indicator of neglect. Journal of the Amer- ican Geriatrics Society (August). Holahan, J. (1984) Nursing Home Care Under Al- ternative Patient-Related Reimbursement Systems. Washington, D.C.: The Urban Institute (September). Holmberg, R. H., and N. A. Anderson (1968) Im- plications of ownership for nursing home care. Medical Care 6:300-307. Illinois Legislative Investigating Commission (1983) Regulation and Funding of Illinois Nursing Homes. Springfield: Illinois Legislature. Institute of Medicine (1981) Health Care in a Context of Civil Rights. Washington, D.C.: National Academy Press. Jazwiecki, T. (1984) Medicaid systems for long-term care facility services. Healthcare Financial Manage- ment (April). Jensen, G. (1979) Nursing home costs in Indiana. In Birnbaum et al. (1979), -t.v. Johnson, D. E. (1984) Survey plots 475 chains' grown. Modern Healthcare (May 15~:65-84. Kahn, K. A., W. Hines, A. S. Woodson, and G. Burld~am-Armstrong (1977) A multidisciplinary ap- proach to assessing the quality of long-term care facil- ities. The Gerontologist 17:61-65. Kane, R. L. (1983) Predicting the outcomes of nurs- ing home patients. The Gerontologist 23~2~:200-206. Kane, R. L., R. M. Bell, S. D. Hosek, S. Z. Riegler, and R. A. Kane (1983) Outcome-based reimbursement for nursing home care. A paper prepared for the Na- tional Center for Health Services Research. Santa Mon- ica, Calif.: The Rand Corporation (December). Kane, R. R. Kane, D. Keffel, R. Brook, C. Eby, G. Goldberg, L. Rubenstein, and J. Van Ryzin (1979) The PSRO and the Nursing Home. Vol I, An Assessment of PSRO Long-Term Care Review. Report submitted to Health Care Financing Administration (DHEW Contract no. 500-78-0040~. Kart, C., and B. Manard (1976) Quality of care in old age institutions. The Gerontologist 16:250-256. Kastenbaum, R. J., and S. E. Candy (1973) The 4% fallacy: A methodological and empirical critique of ex- tended care facility population statistics. Journal of Ag- ing and Human Development 4(Winter):15-22. Koetting, M. (1980) Nursing Home Organization and Efficiency. Lexington, Mass.: Lexington Books. Kosberg, J. (1973) Differences in proprietary insti- tutions caring for affluent and non-aDluent elderly. The Gerontologist 13:229-304. Kosberg, J., and S. Tobin (1972) Variability among nursing homes. The Gerontologist 12:214-219. Kuntz, E. F. (1981a) coursing home chains buy up smaller groups. Modern Healthcare (June):68-72. Kuntz, E. F. (1981b) Retirement apartments prom
538 ise big business for nursing home chains. Modern Healthcare June):72-74. Kuntz, E. F. (1982) Systems scoop up nursing homes. Modern Healthcare (May):102-104. Kuntz, E. F. (1983) Firms converge on home care market. Modern Healthcare (May):142-143. Kuntz, E. F. (1984) For-profits adding home health- care to aid bottom lines. Modern Healthcare (May 159. Kurowski, B., and L. Breed (1981) A Synthesis of Research on Client Needs Assessment and Quality As- surance Programs in Long-Tenn Care. Denver: Uni- versity of Colorado Health Services Research Center. Lane, L. F. (1979) Private insurance for Long-Term Care: Availability Problems and Actions. Washington, D.C.: American Health Care Association. Lane, L. F. (1981) The nursing home: Weighing investment decisions. Healthcare Financial Manage- ment (May):30-45. Lane, L. F. (1984) Developments in facility-based services. Paper prepared for the Institute of Medicine, National Academy of Sciences, Washington, D.C. Lasch, C. (1979) The Culture of Narcissism. New York: Warner Books. LaViolette, S. (1982) Nonprofits setting up for-profit divisions; may even sell stock. Modern Healthcare (May):98-100. LaViolette, S. (1983) Nursing home chains scramble for more private paying patients. Modern Healthcare (May):130-138. LeConey, M. (1979) Institutional Report: Nursing Home Industry Review. New York: Merrill, Lynch, Pierce, Fenner and Smith, Inc. Lee, A. J., and H. Birnbaum (1983) The determi- nants of nursing home operating costs in New York State. Health Services Research 1842~:285-308. Lee, A. J., H. Birnbaum, and C. Bishop (1983) How nursing homes behave: A multi-equation model of nursing home behavior. Social Science and Medicine 17~23~:1897-1906. Lee, Y. S. (1984) Nursing homes and quality of health care: The first year of result of an outcome-oriented survey. Journal of Health and Human Resource Ad- ministration 7~1~:32-60. Levey, S., H. S. Rucklin, B. A. Stotsky, D. R. Kin- loch, and W. Oppenheim (1973) An appraisal of nursing home care. Journal of Gerontology 28:299-228. Levinson, R. (1984) Impact of Proprietary Chain Ownership in the Nursing Home Industry on Quality Access and the Cost of Care. April 25 draft of a report to the U.S. House Subcommittee on Oversight and Investigations. Levit, K. R., H. I~7enby, D. R. Walso, and L. M. Davidoff (1985) National health expenditures, 1984. Health Care Financing Review 7(Fall):1-35. Lewin, L. S., P. A. Derzon, and R. Margulies (1981) Investor-owned and non-profits differ in economic per- formance. Hospitals 55(13~:52-58. FOR-PROFIT ENTERPRISE IN HEALTH CARE Linn, M. W., L. Gurel, and B. S. Linn (1977) Patient outcome as a measure of quality of nursing home care. American Journal of Public Health (April):337-344. Liu, K., and J. Mossey (1980) The role of payment source in differentiating nursing home residents, ser- vices, and payments. Health Care Financing Review 2(Summer):51-61. Manard, B. B., C. S. Kirt, and D. van Oils (1975) Old Age institutions. Lexington, Mass.: Lexington Books. Manor Care (1981) 10K Report to the Securities and Exchange Commission, Washington, D.C. Manton, K. (1984) Changing health status and need for institutional and noninstitutional long-term care services. Paper prepared for the Institute of Medicine Committee on Nursing Home Regulation. Durham, N.C.: Duke University, Center for Demographic Stud- ies. Markus, G. R. (1972) Nursing Homes and the Con- gress: A Brief History of Developments and Issues. Washington, D. C.: U. S. Library of Congress. McClure, E. (1968) More Than a Roof: The Devel- opment of Minnesota Poor Farms and Homes for the Aged. St. Paul: Minnesota Historical Society. Mech, A. B. (1980) Evaluating the process of nursing care in long-term care facilities. Quality Review Bul- letin 6(March):24-30. Meiners, M. (1982) An econometric analysis of the major determinants of nursing home costs in the United States. Social Science and Medicine 16:887-898. Mendelson, M. A. (1974) Tender Loving Greed. New York: Alfred A. Knopf. Mennemeyer, S. (1979) Long-term care costs in New York State. Discussion paper number 455, State Uni- versity of New York at Buffalo, Department of Eco- nomics, New York. Minnesota Senate and House, Select Committee on Nursing Homes (1976) Final Report. St. Paul: Min- nesota State Legislature. Missoun State Senate, Health Care Committee (1978) Nursing and Boarding Home Licensing in Missouri, Jefferson City, Missouri. Moden, M. (1982) Rate Setting-Texas Medicaid SNFI ICE Program. Austin: Texas Department of Human Resources, Office of Programs, Budget and Statistics. Montgomery Securities (1983) The American Nurs- ing Home Industry: Introduction to a Changing In- dustry. An institutional report by W. R. Friedman, Jr., and A. Bergh, San Francisco, California. Morton Research Company (1982) The Cost of Op- erating Nursing Homes An In-dep~ Financial Anal- ysis of the Nursing Home Industry. Merrick, N.Y.: Morton Research Company. Moss, F., and V. Halamandans (1978) Too Old, Too Sick, Too Bad: Nursing [Iomes in America. Gerrnan- town, Md.: Aspen Systems Corp. New Jersey State Nursing Home Commission (1978)
THE NURSING HOME INDUSTRY Report on Long-Term Care. Trenton, N.J.: New Jersey State Nursing Home Commission. New York State Moreland Act Commission (1975) Reimbursing Operating Costs: Dollars Without Sense. New York State Commission on Nursing Homes and Residential Facilities. New York Temporary State Commission on Living Costs and He Economy (1975) Report on Nursing Homes and Health Related Facilities in New York State. A1- bany: New York Temporary Commission. New York Times (March 29, 1983) U.S. sees family help on Medicaid costs. O'Brien, J., B. O. Saxberg, and H. L. Smith (1983) For profit or not-for-profit nursing homes: Does it mat- ter? The Gerontologist 23~4~:341-348. Ohio Nursing Home Commission (1979) A Program in Crisis: Blueprint for Action. Columbus: Ohio Gen- eral Assembly. Ouslander, J. G., R. L. Kane, and I. B. Abrass (1982) Urinary incontinence in elderly nursing home patients. Journal of the American Medical Association 248:1194. Palmer, H. C., and R. J. Vogel (1983) Models of the nursing home. In R. I. Vogel and H. C. Palmer, eds. Long-term Care: Perspectives from Research and Dem- onstrations. Washington, D.C.: Health Care Financ- ing Administration. Palmore, E. (1976) Total chance of institutionaliza- tion among the aged. The Gerontologist 16:504-507. Pechansky, R., and L. Taubenhaus (1976) Institu- tional factors affecting quality of care in nursing homes. Geriatrics 20:591-598. Punch, L. (1982) For-profit nursing home systems consolidate; beds grow by 18%. Modern Healthcare June):7~77. Punch, L. (1984) Chains expand their operations, expecting prospective pay boon. Modern Healthcare (May):131-140. Punch, L. (1985) Investor-owned chains lead in- crease in beds. Modern Healthcare June):12~136. Rango, N. (1982) Nursing home care in the United States: Prevailing conditions and policy implications. The New EnglandJournal of Medicine 307~14~:883-889. Ray, W. A., C. F. Federspeil, and W. Schaffner (1980) A study of anti-psychotic drug use in nursing homes: Epidemiological evidence suggesting misuse. American Journal of Public Health 70:485~91. Rice, D. (1984) The health care needs of the elderly. In C. Harrington et al., eds. Long-Term Care for the Elderly: Public Policy Issues. Beverly Hills, Calif.: Sage Publications. Riportella-Muller, R., and D. P. Slesinger (1982) The relationship of ownership and size to quality of care in Wisconsin nursing homes. The Gerontologist 22:429 434. Ruchlin, H., and S. Levey (1972) Nursing home cost analysis: a case study. Inquiry 9~3~:3-15. 539 Scanlon, W. (1980a) Nursing home utilization pat- terns: Implications for policy. Journal of Health Poli- tics, Policy and Law 4~4~:619^641. Scanlon, W. (1980b) A theory of the nursing home market. Inquiry 17~1~:2541. Scanlon, W., and J. Feder (1984) The long-term care marketplace: An overview. Healthcare Financial Man- agement (lanuary). Scanlon, W., and M. Sulvetta (1983) The supply of institutional long-term care: Descriptive analysis of its growth and current state. (Contract No. 100-80-0158~. In Project to Analyze Existing Long-Tenn Care Data. Final Report, Vol. 5. Washington, D.C.: Department of Health and Human Services. Schlenker, R. E. (1984) Nursing home reimburse- ment, quality, and access a synthesis of research. Pa- per prepared for the Institute of Medicine Conference on Reimbursement, Anaheim, California. Schlenker, R. E., and P. W. Shaughnessy (1984) Case mix, quality, and cost relationships in Colorado nursing homes. Health Care Financing Review. Schlenker, R. E:., P. W. Shaughnessy, and I. Yslas (1983) The effect of case mix and quality on cost dif- ferences between hospital-based and freestanding nursing homes. Inquiry 20(Winter):361~68. Shaughnessy, P., E. Tynan, D. Landes, C. Huggs, D. T. Holub, and L. Breed (1980) An Evaluation of Swing-Bed ExperinKnts to Provide Long-Term Care in Rural Hospitals, Volume 2, Final Technical Report. Denver, Colorado: Center for Health Services Re- search, University of Colorado Health Sciences Cen ter. Shulman, D., and R. Galanter (1976) Reorganizing the nursing home industry: A proposal. Milbank Mem- orial Fund QuarterlylHealth and Society (Spring):129- 143. Silvers, J. B., and B. Spitz (1983) The nursing home: Capital formation and funding. In Capital Management in Healthcare Organizations. Healthcare Financial Management Association. Sims, W. B. (1984) Financing strategies for long- term care facilities. Healthcare Financial Management (March). Sirrocco, A. (1983) An Overview of the 1980 National Master Facility Inventory Survey of Nursing and Re- lated Care Homes. Washington, D.C.: National Center for Health Statistics. Smith, H. L., and M. D. Fottler (1981) Cost and cost containment in nursing homes. Health Services Research 16~1~:17~1. Spitz, B. (1976) Prospective reimbursement of nurs- ing homes. A working paper. Washington, D.C.: The Urban Institute. Stassen, M., and C. Bishop (1983a) Nursing home capacity in four states: Preliminary results. Draft report prepared for the Brandeis University Health Policy Consortium, Waltham, Massachusetts.
540 Stassen, M., and C. E. Bishop (1983b) Incorporating Case Mix in Prospective Reimbursementfor SNF Under Medicare: Critical Review of Relevant Research. Wal- tham, Mass.: Brandeis University Center for Health Policy Analysis and Research. Stevens, R., and R. Stevens (1974) Welfare Medicine in America: A Case Study. New York: The Free Press. Texas Department of Human Resources (1984) "Peek '83 A Preliminary Look at 1983 Cost Reports, File NH 1983SE." A report prepared by the Office of Pro- grams Budget, Rate Setting Operations. Austin, Texas. Texas Nursing Home Task Force (1978) Report on Texas Nursing Homes. A report to John L. Hill, At- torney General. Austin, Texas. Thomas, W. C., Jr. (1969) Nursing Homes and Public Policy: Drift and Decision in New York State. Ithaca, N.Y.: Cornell University Press. Ting, H. (1984) New directions in nursing home and home healthcare marketing. Draft manuscript. Na- tional Medical Enterprises. Torrey, B. B. (1984) The visible cost of the invisible aged: The fiscal implications of the growth in the very old. Paper presented at the American Association for the Advancement of Science Annual Meeting in New York City. Trautman, W. B. (1984) Economic Concentration and the Federal Tax Code. Santa Monica, Calif.: lbe Rand Corporation (Rand Paper Series, P-6994~. U.S. Bureau of the Census (1983) America in tran- sition: An aging society. Current Population Reports. Series P-23, No. 128. Washington, D.C.: U.S. Gov- ernment Printing Office. U. S. Congress, Senate Committee on Finance (1972) The Social Security Amendments of 1972: Report to Accompany H.R 1. 92nd Congress, 2nd Session, S.R 92-1230. Washington, D.C.: U.S. Government Print- ing Office. U.S. Congress, Senate Committee on Labor and Public Welfare (1960) The Condition of AmericanNurs- ing Homes. Washington, D. C.: U. S. Government Printing Office. U. S. DHEW (Department of Health, Education, and Welfare) (1975a) Long-Temn Care Facility Improve- ment Study, Introductory Report. Office of Nursing Home Affairs. Washington, D.C.: U.S. Government Printing Office. U.S. DHEW (1975b) Selected Operating and Fi- r~ancia1 Characteristics of Nursing Homes, United States: 1973-74 National Nursing Home Survey. Vital and Health Statistics, Series 13, No. 12. DHEW Publica- tion No. (HRA) 76-1773. Washington, D.C.: U.S. Gov- ernment Printing Office. U.S. DHEW (1978) Memo from the Audit Agency on multi-state chains to Tom Morns, inspector-general, HEW, Washington, D.C. U. S. DHEW il979) The national nursing home sur FOR-PROFIT ENTERTRISE IN HEALTH CARE vey 1977 summary for the United States. Vital and Health Statistics, Series 13, No. 43. Washington, D. C.: U.S. Government Printing Office. U. S. DHHS (Department of Health and Human Ser- vices) (1981a) The Need for Long-Tenn Care. Wash- ington, D.C.: ache Federal Council on Aging. U.S. DHHS, Office of the Assistant Secretary for Planning and Evaluation (1981b) Working Papers on Long-Tenn Care Prepared for the 1980 Undersecre- tary's Task Force on Long-Term Care. Washington, D.C.: U.S. Department of Health and Human Ser- vices. U. S. National Center for Health Statistics (1979) The national nursing survey 1977, summary for the United States. Vital and Health Statistics, Senes 13, No. 43. Washington, D. C.: U. S. Government Printing Office. U.S. National Center for Health Statistics (1984) Trends in nursing and related care homes and hospi- tils. Vital and Health Statistics, Series 14, No. 30. DHHS Pub. No. (PHS) 84-1825. Washington, D.C.: U.S. Government Printing Office. U. S. Senate, Committee on Finance (1970) Medicare and Medicaid: Probl~rrLs, Issues and Alternatives. 91st Congress, 2nd Session. Washington, D.C.: U.S. Gov- ernment Printing Office. U.S. Senate, Committee on Finance (1972) The So- cial Security Act Amendments of 1972: Report to a Company H. R. 1. 92nd Congress, 2nd Session. Wash- ington, D.C.: U.S. Government Printing Office. U.S. Senate, Committee on Labor and Public Wel- fare (1960) The Condition of American Nursing Homes. Washington, D.C.: U.S. Government Printing Office. U.S. Senate, Special Committee on Aging (1984) Discrimination Against the Poor and Disabled in Nurs- ing Homes. Senate Heanng 98-1091. Washington, D.C.: U.S. Government Printing Office. U. S. Senate, Special Committee on Aging, Subcom- mittee on Long-Term Care (1974) Nursing Home Care in the United States: Failure in Public Policy. Wash- ington, D.C.: U.S. Government Printing Office. U. S. Senate, Special Committee on Aging, Subcom- mittee on Long-Term Care (1975a) Doctors in nursing homes: The shunned responsibility. Supporting paper No. 3. Washington, D.C.: U.S. Government Printing Office. U. S. Senate, Special Committee on Aging, Subcom- mittee on Long-Term Care (1975b) Nurses in nursing homes: The heavy burden (the reliance on untrained and unlicensed personnel). Supporting paper No. 4. Washington, D. C.: U. S. Government Printing Office. Valiante, J. (1984) Forecasting capital requirements: Potential trends. Health Care Financial Management (August):52-~9. Van Gelder, L. (1975) Stein for phasing out prordt- mal~ng nursing homes. New York Times, February 27, p. 22. ,
THE NURSING HOME INDUSTRY Virginia Joint Legislative Audit and Review Com- mission aLARC) (1978) Long-Tenn Care in Virginia. Richmond: The Virginia General Assembly. Vladeck, B. (1980) Unloving Care: The Nursing Home Tragedy. New York: Basic Books. Vogel, R. J. (1983) The industrial organization of the nursing home industry. In R. J. Vogel and H. C. Pal- mer, eds. Long-term Care: Perspectivesfrom Research and Demonstrations. Washington, D.C.: Health Care Financing Administration. Vogel, R. J., and H. C. Palmer, eds. (1983) Long- term Care: Perspectives from Research and Demon- strations. Washington, D.C.: Health Care Financing Administration. Waldman, S. (1983) A legislative history of nursing home care. In R. J. Vogel and H. C. Palmer, eds. Long- term Care: Perspectives from Research and Demon- strations. Washington, D.C.: Health Care Financing Administration. Waldo, D., and R. Gibson (1982) National health expenditures, 1981. Health Care Financing Revs 4~1~. Wallack, S., and J. Greenberg (1984) Public financ- ing of long-term care: Its relationship to delivery sys- tems and private sector initiatives. Healthcare Finland Management (April). Washington Senate, Select Committee on Nursing Homes (1978) Report on the Current Rate-Setting and Cost Reimbursement Systemfor Nursing Homes. A re- port prepared for the State Senate by Touche Ross and Company. Watkins, R., and W. Spicer (1984) Chains report big revenue gains. Contemporary Administrator. Weisbrod, B. (1977) The Voluntary Nonprofit Sec- tor. Lexington, Mass.: D.C. Heath. Weisbrod, B. A., and M. Schlesinger (1983) Public, 541 private, nonprofit ownership and the response to asym- metric information: The case of nursing homes. Dis- cussion paper No. 209, Center for Health Economics and Law, University of Wisconsin at Madison. Weissert, W. (1984) Home equity financing of long- term care. Presentation at the Heatlh Care Financing Administration Meeting on Long-Term Financing, Jan- uary 24, Washington, D.C. Weissert, W. G. (1985) Estimating the long-tenn care population: Prevalence rates and selected char- acteristics. Health Care Financing Review 6~4) (Fall). Weissert, W., and W. Scanlon (1983) Determinants of institutionalization of the aged. In Project to Analyze Existing Long-Term Care Data. Final report, Vol. 111 (Contract No. 100-80-0158) Washington, D.C.: U.S. Department of Health and Human Services. Weissert, W. G., and W. J. Scanlon (1985) Deter- minants of nursing home discharge status. Medical Care 23(April):333-343. Winn, S. (1974) Analysis of selected characteristics of a matched sample of nonprofit and proprietary nurs- ing homes in the State of Washington. Medical Care 12:221-228. Winn, S. (1975) Assessment of cost related charac- teristics and conditions of long-term care patients. In- quiry 12:344-353. Winn, S., and K. M. McCaffree (1976) Character- istics of nursing homes perceived to be effective and efficient. The Gerontologist 16:415419. Zimmer, J. G. (1975) Characteristics of patients and care provided in health-related and skilled nursing fa- cilities. Medical Care 13(December):992-1010. Zimmer, J. G. (1979) Medical care evaluation studies in long-term facilities. Journal of the American Ger- zatr~cs Society 27:62-72.