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REFERENCES

Acumen, LLC. 2013a. Geographic variation in spending, utilization and quality: Medicare and Medicaid beneficiaries. Report commissioned by the IOM Committee on Geographic Variation in Health Care Spending and Promotion of High-Value Care, Institute of Medicine, Washington, DC. http://iom.edu/~/media/Files/Report%20Files/2013/Geographic-Variation/Sub-Contractor/Acumen-Medicare-Medicaid.pdf (accessed March 22, 2013).

———. 2013b. IOM study of geographic variation: Growth analysis. Report commissioned by the IOM Committee on Geographic Variation in Health Care Spending and Promotion of High-Value Care, Institute of Medicine, Washington, DC. http://iom.edu/~/media/Files/Report%20Files/2013/Geographic-Variation/Sub-Contractor/Acumen-Growth.pdf (accessed March 22, 2013).

AHRQ (Agency for Healthcare Research and Quality). 2013. Varieties of Measures in NQMC. http://qualitymeasures.ahrq.gov/tutorial/varieties.aspx (accessed March 18, 2013).

Alliance for Health Reform. 2013. Select community quality initiatives map. http://allhealth.org/community-initiatives.asp (accessed February 19, 2013).

Audet, A. M. 2012. Hospitals on the path to accountable care: Highlights from a 2011 national survey of hospital readiness to participate in an accountable care organization. Commonwealth Fund Issue Brief 22, August. http://www.commonwealthfund.org/~/media//Publications/Issue%20Brief/2012/Aug/1625_Audet_hospitals_path_accountable_care_ib_v2.pdf (accessed March 19, 2013).

Bach, P. B. 2010. A map to bad policy—hospital efficiency measures in the Dartmouth Atlas. New England Journal of Medicine 362(7):569-573; discussion p. 574.

Baicker, K., and A. Chandra. 2004. Medicare spending, the physician workforce, and beneficiaries’ quality of care. Health Affairs (Suppl):W184-W197.

Bernstein, J., J. D. Reschovsky, and C. White. 2011. Geographic variation in health care: Changing policy directions. Washington, DC: National Institute for Health Care Reform

Bertko, J. M. 2003. Variation in use of medical care services: Higher risk or higher consumption? Health Affairs (Millwood) (Suppl Web Exclusives):W3-363-365.

Berwick, D. M., and A. D. Hackbarth. 2012. Eliminating waste in US health care. JAMA 307(14):1513-1516.

CBO (Congressional Budget Office). 2008a. Budget options volume I: Health care. Washington, DC: CBO.

———. 2008b. Geographic variation in health care. Washington, DC: CBO.

Center for Research in Ambulatory Health Care Administration, Inc. 2000. Variations found during physician profiling study are difficult to explain: Grant results. Washington, DC: Robert Wood Johnson Foundation. http://pweb1.rwjf.org/reports/grr/020268s.htm#contents (accessed March 18, 2013).

Cherkin, D. C., R. A. Deyo, K. Wheeler, M. A. Ciol. 1994. Physician variation in diagnostic testing for low back pain. Who you see is what you get. Arthritis and Rheumatism 37(1):15-22.

CMS (Centers for Medicare & Medicaid Services). 2011. Claims-based quality measures. Washington, DC: CMS.

———. 2012a. Home health prospective payment system: Payment system fact sheet series. Washington, DC: CMS.



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REFERENCES Acumen, LLC. 2009. Revision of Medicare wage index—final report: Part I. Burlingame, CA: Acumen, LLC. ———. 2013a. Geographic variation in spending, utilization and quality: Medicare and Medi- caid beneficiaries. Report commissioned by the IOM Committee on Geographic Varia- tion in Health Care Spending and Promotion of High-Value Care, Institute of Medicine, Washington, DC. http://iom.edu/~/media/Files/Report%20Files/2013/Geographic- Variation/Sub-Contractor/Acumen-Medicare-Medicaid.pdf (accessed March 22, 2013). ———. 2013b. IOM study of geographic variation: Growth analysis. Report commissioned by the IOM Committee on Geographic Variation in Health Care Spending and Promotion of High-Value Care, Institute of Medicine, Washington, DC. http://iom.edu/~/media/Files/Report%20Files/2013/Geographic-Variation/Sub- Contractor/Acumen-Growth.pdf (accessed March 22, 2013). AHRQ (Agency for Healthcare Research and Quality). 2013. Varieties of Measures in NQMC. http://qualitymeasures.ahrq.gov/tutorial/varieties.aspx (accessed March 18, 2013). Alliance for Health Reform. 2013. Select community quality initiatives map. http://allhealth.org/community-initiatives.asp (accessed February 19, 2013). Audet, A. M. 2012. Hospitals on the path to accountable care: Highlights from a 2011 national survey of hospital readiness to participate in an accountable care organization. Com- monwealth Fund Issue Brief 22, August. http://www.commonwealthfund.org/~/media/ /Publications/Issue%20Brief/2012/Aug/1625_Audet_hospitals_path_accountable_care_ib _v2.pdf (accessed March 19, 2013). Bach, P. B. 2010. A map to bad policy—hospital efficiency measures in the Dartmouth Atlas. New England Journal of Medicine 362(7):569-573; discussion p. 574. Baicker, K., and A. Chandra. 2004. Medicare spending, the physician workforce, and beneficiar- ies’ quality of care. Health Affairs (Suppl):W184-W197. Bernstein, J., J. D. Reschovsky, and C. White. 2011. Geographic variation in health care: Changing policy directions. Washington, DC: National Institute for Health Care Reform Bertko, J. M. 2003. Variation in use of medical care services: Higher risk or higher consump- tion? Health Affairs (Millwood) (Suppl Web Exclusives):W3-363-365. Berwick, D. M., and A. D. Hackbarth. 2012. Eliminating waste in US health care. JAMA 307(14):1513-1516. CBO (Congressional Budget Office). 2008a. Budget options volume I: Health care. Washington, DC: CBO. ———. 2008b. Geographic variation in health care. Washington, DC: CBO. Center for Research in Ambulatory Health Care Administration, Inc. 2000. Variations found dur- ing physician profiling study are difficult to explain: Grant results. Washington, DC: Robert Wood Johnson Foundation. http://pweb1.rwjf.org/reports/grr/020268s. htm#contents (accessed March 18, 2013). Cherkin, D. C., R. A. Deyo, K. Wheeler, M. A. Ciol. 1994. Physician variation in diagnostic test- ing for low back pain. Who you see is what you get. Arthritis and Rheumatism 37(1):15- 22. CMS (Centers for Medicare & Medicaid Services). 2011. Claims-based quality measures. Wash- ington, DC: CMS. 31

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———. 2012a. Home health prospective payment system: Payment system fact sheet series. Washington, DC: CMS. ———. 2012b. Institute of Medicine (IOM) geographic variation data request: A methodologi- cal overview (December 2012 update). http://www.iom.edu/Activities/HealthServices/ GeographicVariation/~/media/Files/Activity%20Files/HealthServices/Geographic Variation/CMSfiles/Dec-2012/Geographic%20Variation%20Methods%20Paper% 20Dec%202012%20Update.pdf (last accessed March 18, 2013). ———. 2012c. Wage index. http://www.cms.gov/Medicare/Medicare-Fee-for-Service- Payment/AcuteInpatientPPS/wageindex.html (accessed March 29, 2013). Dartmouth Institute for Health Policy and Clinical Practice. 2013a. The Dartmouth Atlas of Health Care: Data by region. http://www.dartmouthatlas.org/tools/faq/research methods.aspx (accessed February 14, 2013). Dartmouth Institute for Health Policy and Clinical Practice. 2013b. The Dartmouth Atlas of Health Care: Understanding of the efficiency and effectiveness of the health care system. http://www.dartmouthatlas.org (accessed March 17, 2013). DOJ (Department of Justice). 2013. Health care fraud and abuse control program: Annual re- port for fiscal year 2012. Washington, DC: DOJ. Eisenberg, J. M. 2002. Physician utilization: The state of research about physicians’ practice pat- terns. Medical Care 40(11):1016-1035. Fisher, E. S., D. E. Wennberg, T. A. Stukel, D. J. Gottlieb, F. L. Lucas, and E. L. Pinder. 2003a. The implications of regional variations in Medicare spending. Part 1: The content, quali- ty, and accessibility of care. Annals of Internal Medicine 138(4):273-287. ———. 2003b. The implications of regional variations in Medicare spending. Part 2: Health out- comes and satisfaction with care. Annals of Internal Medicine 138(4):288-298. GAO (Government Accountability Office). 2009. Medicare physician services: Utilization trends indicate sustained beneficiary access with high and growing levels of service in some areas of the nation. Washington, DC: GAO. Gold, M., G. Jacobson, A. Damico, and T. Neuman. 2012. Medicare Advantage enrollment mar- ket update. Melo Park, CA: The Henry J. Kaiser Family Foundation. Goldman, T. R. 2012. Eliminating fraud and abuse. Health Affairs Health Policy Brief, July 31. http://www.healthaffairs.org/healthpolicybriefs/brief.php?brief_id=72 (accessed March 19, 2013). Hahn, J. 2009. Memorandum. Evaluation of a value-based reform proposal for physician pay- ment. Washington, DC: Congressional Research Service. Hahn, J., and J. Mulvey. 2011. Medical physician payment updates and the sustainable growth rate (SGR) system Washington, DC: Congressional Research Service. Hussey, P. S., S. Wertheimer, and A. Mehrotra. 2013. The association between health care quali- ty and cost: A systematic review. Annals of Internal Medicine 158(1):27-34. IOM (Institute of Medicine). 2001. Crossing the quality chasm: A new health system for the 21st century. Washington, DC: National Academy Press. ———. 2006. Performance measurement: Accelerating improvement. Washington, DC: The National Academies Press. ———. 2010. Leadership commitments to improve value in health care: Finding common ground: Workshop summary. Washington, DC: The National Academies Press. ———. 2011. Geographic adjustment in Medicare payment—phase I: Improving accuracy. Washington, DC: The National Academies Press. 32

OCR for page 31
———. 2012. Geographic adjustment in Medicare payment—phase II: Implications for access, quality, and efficiency. Washington, DC: The National Academies Press. Kass, J. E., and J. S. Linehan. 2012. Fostering healthcare reform through a bifurcated model of fraud and abuse regulation. Journal of Health & Life Sciences Law 5(75):79-93. Katz, P. 2012. Medicare Fraud Strike Force: Past, present, and future. Fraud and Abuse 1(1):1-4. Keating, N. L., M. B. Landrum, B. E. Landon, J. Z. Ayanian, C. Borbas, and E. Guadagnoli. 2003. Measuring the quality of diabetes care using administrative data: Is there bias? Health Services Research 38(6 Pt 1):1529-1545. The Lewin Group. 2013. Post-acute care spending analysis. Report commissioned by the IOM Committee on Geographic Variation in Health Care Spending and Promotion of High- Value Care, Institute of Medicine, Washington, DC. http://iom.edu/~/media/Files/ Report%20Files/2013/Geographic-Variation/Sub-Contractor/The-Lewin-Group.pdf (ac- cessed March 22, 1013). Lucas, F. L., B. E. Sirovich, P. M. Gallagher, A. E. Siewers, and D. E. Wennberg. 2010. Varia- tion in cardiologists’ propensity to test and treat: Is it associated with regional variation in utilization. Circulation: Cardiovascular Quality and Outcomes 3:253-260. McGinnis, J. M., P. Williams-Russo, and J. R. Knickman. 2002. The case for more active policy attention to health promotion. Health Affairs 21(2):78-92. McKethan, A., M. Shepard, S. L. Kocot, N. Brennan, M. Morrison, N. Nguyen, R. D. Williams II, and N. Cafarella. 2009. Improving quality and value in the U.S. health care system. Washington, DC: Bipartisan Policy Center. MedPAC (Medicare Payment Advisory Commission). 2003. Variation and innovation in Medi- care. Report to the Congress: June, 2003. Washington, DC: MedPAC. ———. 2007. Assessing alternatives to the sustainable growth rate system. Washington, DC: MedPAC. ———. 2009. Measuring regional variation in service use. Report to the Congress: December 2009. Washington, DC: MedPAC. ———. 2011. Regional variation in Medicare service use. Report to the Congress: January 2011. Washington, DC: MedPAC. ———. 2012. Report to the Congress: Medicare payment policy. Washington, DC: MedPAC. Newhouse, J. 2012. Steps to reduce favorable risk selection in Medicare advantage largely suc- ceeded, boding well for health insurance exchanges. Health Affairs 31(12):2618-2628. Nicholas, L. H., K. M. Langa, T. J. Iwashyna, and D. R. Weir. 2011. Regional variation in the association between advance directives and end-of-life Medicare expenditures. JAMA 306(13):1447-1453. OIG (Office of the Inspector General). 2012. CMS and Contractor Oversight of Home Health Agencies. Washington, DC: OIG. OMB (Office of Management and Budget). 2010. 2010 standards for delineating metropolitan and micropolitan statistical areas; notice. Federal Register 75(123):37246-37252. ———. 2013. Revised delineations of metropolitan statistical areas, micropolitan statistical ar- eas, and combined statistical areas, and guidance on uses of the delineations of these ar- eas. http://www.whitehouse.gov/sites/default/files/omb/bulletins/2013/b13-01.pdf (ac- cessed March 31, 2013). Partners HealthCare. 2012. Variation within a single group of primary care physicians at Part- ners HealthCare, Inc. Boston, MA: Partners HealthCare. 33

OCR for page 31
Salinsky, E. 2010. Governmental public health: An overview of state and local public health agencies. Washington, DC: National Health Policy Forum. http://www.nhpf.org/library/ background-papers/BP77_GovPublicHealth_08-18-2010.pdf (accessed March 19, 2013). Sebelius, K. 2010. Letter to the quality care coalition, March 20, 2010. Washington, DC: U.S. Department of Health and Human Services. Sheiner, L. 2012. Why the geographic variation in health care spending can’t tell us much about the efficiency or quality of our health care system. Washington, DC: Federal Reserve Board. Skinner, J., D. Staiger, and E.S. Fisher. 2010. Looking back, moving forward. New England Journal of Medicine 362(7):569-573; discussion p. 574. Song, Y., J. Skinner, J. Bynum, J. Sutherland, J. E. Wennberg, and E. S. Fisher. 2010. Regional variations in diagnostic practices. New England Journal of Medicine 363:45-53. Tang, P. C., M. Ralston, M. F. Arrigotti, L. Qureshi, and J. Graham. 2007. Comparison of meth- odologies for calculating quality measures based on administrative data versus clinical data from an electronic health record system: Implications for performance measures. Journal of the American Medical Informatics Association 14:10-15. University of Pittsburgh. 2013. Geographic variation in health care spending and promotion of high-value health care Medicare Part D. Report commissioned by the IOM Committee on Geographic Variation in Health Care Spending and Promotion of High-Value Care, Institute of Medicine, Washington, DC. http://iom.edu/~/media/Files/Report% 20Files/2013/Geographic-Variation/Sub-Contractor/University-of-Pittsburgh.pdf (ac- cessed March 22, 2013). Wennberg, J. E., and M. M. Cooper, eds. 1998. The Dartmouth Atlas of Health Care. Chicago, IL: American Hospital Publishing, Inc. Wennberg, J. E., E. S. Fisher, and J. S. Skinner. 2002. Geography and the debate over Medicare reform. Health Affairs (Web exclusive):W96-W114. Wennberg, J. E., E. S. Fisher, D. Goodman, and J. S. Skinner. 2008. Tracking the care of pa- tients with severe chronic illness: The Dartmouth Atlas of Health Care 2008. Hanover, NH: The Dartmouth Institute for Health Policy and Clinical Practice. Zhang, Y., K. Baicker, and J. P. Newhouse. 2010a. Geographic variation in Medicare drug spending. New England Journal of Medicine 363(5):405-409. ———. 2010b. Geographic variation in the quality of prescribing. New England Journal of Med- icine 363(21):1985-1988. Zuckerman, S., T. Waidmann, R. Berenson, and J. Hadley. 2010. Clarifying sources of geo- graphic differences in Medicare spending. New England Journal of Medicine 363(1):54- 62. 34