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Women’s Health Research: Progress, Pitfalls, and Promise 5 Transforming Discovery to Impact: Translation and Communication of Findings of Women’s Health Research The previous chapters document substantial progress in research on women’s health. This chapter examines first the factors that shape translation of research findings on women’s health into use by health-care providers and public-health practitioners and, second, how those factors shape communication of research findings to women. The chapter closes with case studies of the Women’s Health Initiative (WHI), breast and cervical cancer and cardiovascular disease (CVD) to illustrate successes of—or obstacles to—translation into improvements in women’s health and communication of research findings to women. The information in this chapter addresses questions 5 and 6 in Box 1-4, which deal with whether research findings are being translated in a way that affects practice and whether they are being communicated effectively to women. Many of the barriers to the translation and communication of research findings are similar between women’s and men’s health. Those barriers have been reviewed in other Institute of Medicine (IOM) reports (2001a,b, 2002a, 2006a,b), and their analysis is beyond the scope of this report. In this chapter, the committee highlights the issues that it considered especially relevant to women’s health. TRANSLATION OF FINDINGS INTO PRACTICE The steps in translation, communication, and application of research findings into practice and policies that lead to health improvements are complex. Each step involves different and sometimes competing factions—patients, providers, payers, purchasers, and manufacturers—and multiple processes. There are questions regarding who should transmit research information (investigators, government, industry, or the press), what the message should be (complex information or basic
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Women’s Health Research: Progress, Pitfalls, and Promise elements), how the message should be framed (regarding an individual or a population), how the information should be transmitted (in scientific publications or by professional organizations, medical practitioners, or the mass media), who the target audience of the message is (health-care providers, women, or both), who uses the information, and, ultimately, what the individual woman, does with the information (Bero et al., 1998; Berwick, 2003; IOM, 2001a; Kreuter and Wray, 2003; Rogers, 1995). The steps in translating research discoveries into practice are outlined in Figure 5-1. The initial step generally occurs with the publication of results in peer-reviewed scientific journals. For some topics, the news media may immediately report the findings, as in the coverage of the WHI. If research findings will affect clinical practice, professional societies may develop clinical-practice guidelines. At each step, constraints associated with current practices limit the translation of findings into improved services. In cases where there are uncertainties or contradictory research findings, guidelines from different organizations can differ or updated guidelines might reflect recent data and contradict previous guidelines, leading to confusion. For example, if research findings are not analyzed or presented separately for women and men, this might decrease their utility in addressing women’s needs, including the development of women-specific FIGURE 5-1 The process for translating research into practice. The top half of figure shows the path for a public-health system. The bottom half shows the path for health-care delivery systems. SOURCE: Modified from a presentation by Dr. Julie Gerberding to the House Committee on Appropriations, Subcommittee on Labor, Health and Human Services, Education and Related Agencies, March 5, 2008.
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Women’s Health Research: Progress, Pitfalls, and Promise guidelines. Although there are exceptions, such as the women-specific guidelines for CVD issued by the American Heart Association (AHA) (Mosca et al., 2004a), most practice guidelines are not sex specific. Government agencies and professional organizations play an important role in the translation of research findings into policy and practice. For example, in light of findings from the Breast Cancer Prevention Trial showing that tamoxifen reduced the incidence of invasive breast cancer in women at high risk for the disease (Cuzick et al., 2003; Fisher et al., 1998; Lewis, 2007; Mamounas et al., 2005; Powles et al., 1998; Veronesi et al., 1998, 2007), the Food and Drug Administration (FDA) required modification of the language on the label for tamoxifen (FDA, 1998). Government agencies and professional organizations have also developed campaigns to disseminate research findings to both health-care providers and women. For example, the National Heart Lung and Blood Institute, the Department of Health and Human Services (HHS) Office on Women’s Health (OWH), and AHA collaborated to develop the Heart Truth campaign to increase women’s awareness of their risks of heart disease (HHS, 2010). The campaign has contributed to an increase in awareness compared with that in 1997 (Christian et al., 2007; Mosca et al., 2010). Barriers Associated with the Nature of Science Clinically useful findings are almost never generated by a single study but require a multitude of studies of types—basic, clinical, and applied—and require the overall evidence to lay the foundation for a given clinical action. Along the way, different studies may produce dissimilar results. Beyond the uncertainty due to inconsistent findings, uncertainties about the applicability of findings and about inadequate data on the effects of treatments in women can occur when data are not analyzed and reported by sex. Failure to report sex-specific findings has resulted in delays in standard-of-care treatment for women, such as the use of stents, beta blockers, and aspirin for myocardial infarction (Berger et al., 2009; Chauhan et al., 2005; Lansky et al., 2005; Rich-Edwards et al., 1995). Paradoxically, there are also examples of rapid adoption of unproven interventions, such as transplantation of autologous bone marrow for advanced breast cancer, which was later shown by research not to provide benefit but to increase risk (Farquhar et al., 2003; Rettig et al., 2007). An objective research base with sex-specific information is critical both for the adoption of new approaches and to stop practices that are not beneficial and may actually be harmful. Barriers Associated with Economic, Social, and Cultural Factors Economic forces and other nonscientific factors may complicate the interpretation of scientific data and their translation into practice. Conflicts of interest can occur in the conduct of science and the publication of scientific information
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Women’s Health Research: Progress, Pitfalls, and Promise (Jagsi et al., 2009; Lexchin and Light, 2006), including findings related to drugs used primarily or exclusively by women. The role of industry in funding research, interpreting results, writing papers, and presenting findings directly to providers and industry’s relationships with patient-advocacy organizations can introduce bias (Burton and Rowell, 2003; Herxheimer, 2003; Koch, 2003; Moynihan, 2003; Watkins et al., 2003). Social and cultural values may also complicate the translation of research into practice. That is most clearly seen in relation to sexual and reproductive health. For example, the adoption of the human papillomavirus (HPV) vaccine, which could prevent the vast majority of cervical cancers, has been slowed, in addition to concerns of parents about safety,1 because of a number of nonscientific issues. An editorial in the New England Journal of Medicine looking at the HPV vaccine highlighted the issues of access to the vaccine, high cost, and concerns focused on purported interference in family life and sexual mores (Charo, 2007). It identified a variety of political efforts to forestall the creation of a mandated vaccination program, which was attacked as an intrusion on parental discretion and an invitation to teenage promiscuity. Other identified barriers to vaccination include misinformation, lack of knowledge, substandard provider–patient communication, parental concerns about the sexual implications of HPV vaccination, and concerns about the manufacturers’ influence (Charo, 2007). The case of the HPV vaccine also demonstrates disparities in the translation of knowledge into health-care services for less-advantaged groups. Specific populations of women—such as those of lower socioeconomic status (SES), those who have low literacy level, illegal immigrants, and those who have language barriers—are likely to be more affected by social barriers or by a lack of knowledge about HPV and the vaccine. For example, the 2007 California Health Interview Survey indicates that 90% of non-Hispanic white women 18–50 years old had heard of HPV, compared with 69% of Latinas (California Health Interview Survey, 2010). Vaccination rates are also lower in Latinas (14.0 %) than in white girls (19.7%) 12–26 years old; the largest discrepancy is in those 19–26 years old: Latinas, 6.7%, and non-Hispanic white women, 14.3% (California Health Interview Survey, 2010). Some studies have examined attitudes toward the HPV vaccine among Latinas, but methodologic shortcomings limit the utility of their results, and the factors that contribute to Latina underuse of the HPV vaccine remain unknown. Although new knowledge generally benefits the more advantaged to a greater extent, more advantaged women may also be more likely to receive new treatments that have not been thoroughly tested and can have adverse effects that are 1 FDA and Centers for Disease Control and Prevention published postmarketing surveillance data from the Vaccine Adverse Event Reporting System. With the exception of synecope and venous thromboembolic events, no increase in adverse events was seen as compared to other vaccinations (Slade et al., 2009).
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Women’s Health Research: Progress, Pitfalls, and Promise discovered only after additional study. Use of hormone therapy is a case in point. Hormone therapy was prescribed more frequently to more affluent, educated women; those women were then at greater risk of developing breast cancer. A recent analysis of the decline in breast-cancer mortality seen after the publication of the WHI findings, which studies have attributed to the decreased use of hormone therapy (Chlebowski et al., 2009; Hausauer et al., 2009; Jemal et al., 2007; Krieger et al., 2010), showed that the greatest decreases in mortality occurred among white women over 50 years old who had estrogen-receptor–positive tumors and lived in counties that had higher mean incomes (Hausauer et al., 2009; Krieger et al., 2010). Smaller decreases were seen in women in other racial or ethnic groups and in poorer areas who were less likely to have been using hormone therapy in the first place (Hausauer et al., 2009; Krieger et al., 2010). Barriers Associated with Health-Care Providers The existence and characteristics of substantial problems in our health-care system have been the topic of a multitude of studies and IOM reports (IOM, 2000, 2002b, 2006a, 2009). The problems are not specific to women but constitute a serious barrier to the efficient and effective uptake of information to improve the treatment of women. US adults receive only about half the recommended care, and its quality varies significantly by medical condition. Fragmentation of health care also hinders translation and may be particularly problematic for women. Many women receive their primary care from obstetricians and gynecologists, and others are seen also by other primary-care providers (Bean-Mayberry et al., 2007a). In addition, given the higher rates of comorbidities and late-life illnesses in women than in men (Marcus et al., 2005), women’s health issues often encompass a broader array of conditions and comorbidities—such as mental health disorders, bone disorders, CVD, cancers, autoimmune disorders, and violence—in addition to reproductive issues. To have those health needs met, women must see multiple providers, who are often in different places and who do not communicate with one another about the care they are providing. In the current health-care system, it is difficult for women to receive comprehensive evidence-based care in one place. The HHS OWH funded National Centers of Excellence in Women’s Health to address the issue and change the care model for women. The centers were established to provide a comprehensive model of health-care delivery for women and to encourage community outreach, stimulate research in women’s health, incorporate research findings into women’s health in the clinic and medical-school curriculum, and the provision of leadership positions for women in academic medicine (Goodman et al., 2002). Funding for the centers ceased, however, and without outside support there is a risk that they will not be maintained by academic medical centers (Goodman et al., 2002). Although the Department of Veteran Affairs has established similar centers for women’s health (Bean-
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Women’s Health Research: Progress, Pitfalls, and Promise Mayberry et al., 2007b), such a model is not widely adopted in other settings. That is especially disappointing in light of the evidence from a survey that women who used the centers of excellence were more satisfied with their health care than comparison populations and that the centers were particularly successful in mammography and breast self-examination and in counseling services related to many of the important determinants of health discussed in Chapter 2, including smoking and violence against women (Goodman et al., 2002). Barriers in the Health Systems and Health Plans Health systems and health plans can play an important role in translating evidence-based practices and research advances into clinical practice through the use of public reporting mechanisms and payment incentives. A key example is the Healthcare Effectiveness Data and Information Set (HEDIS), a set of publicly reported health-plan performance measures maintained by the National Committee for Quality Assurance. The measures are routinely collected by managed-care plans through a review of administrative claims data, provider chart abstraction, and member surveys to gauge plan quality, preventive-care services, prenatal care, acute-disease and chronic-disease management, and satisfaction with health plans and doctors (NCQA, 2010). The data are used by some commercial plans and by Medicaid and Medicare managed-care organizations, and plans are evaluated and accredited on the basis of their performance on HEDIS measures. Therefore, there are strong incentives for providers in health plans or networks to meet the standards of care. Although the HEDIS measures have been expanded in recent years to capture conditions that are specific to women more fully, many measures for conditions specific to women are still not included. Furthermore, sex-, race- and ethnicity-specific analysis is rarely conducted on HEDIS measures to investigate possible sex-based differences in care or differential care patterns by race and ethnicity (Bird et al., 2007; McKinley et al., 2002; Weisman, 2000). No comparable, reportable, and uniform data source exists for patients in fee-for-service arrangements, so less is known about the quality of care of women who use those services than about the care of women in managed care (McGlynn et al., 1999). Reimbursement by government and private insurers influences the provision of services and may determine whether research findings are adopted in clinical practice (Trivedi et al., 2008). For example, although research findings supported the value of breast and cervical cancer screening, many women were not being routinely screened until the Centers for Disease Control and Prevention–funded National Breast and Cervical Cancer Early Detection Program expanded coverage to low-income uninsured women (Henson et al., 1996). In recent years, there has been increased interest in basing reimbursement on practices that have been demonstrated to be effective. Reimbursement decisions might require additional studies of the safety and effectiveness of new treatments, such as comparative-
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Women’s Health Research: Progress, Pitfalls, and Promise effectiveness studies. Those studies would be more informative if they provided sex-specific analyses of the effectiveness of treatments. Barriers in Patient Decision Making Given the fragmentation of care described above, patients often have to coordinate their own care. Those who are seriously ill often have to make a cascade of decisions about their treatment, and even those who are well and who wish to maintain their health and optimize wellness have an array of possibilities. The increased research on women’s health has led to more knowledge about women’s health, which has translated into heightened awareness of conditions that affect women, the availability of more treatments for some conditions, more information on an expanded number of outcomes of given treatments, the ability to detect potential diseases at earlier stages, and a proliferation of clinical guidelines. Those developments represent progress, but the increase in information and alternatives can overwhelm women who are making decisions. Most decisions made by patients and providers alike involve weighing options that have uncertain probabilities and anticipating how they will affect overall health and quality of life. Some studies help to clarify the probabilities or value of outcomes, but more often than not new research expands available options that have uncertain outcomes (O’Connor et al., 1999). Studies of decision making have shown that, counter intuitively, some people making choices who are given more options make poorer choices on the average and are less satisfied with their decisions than those who are given fewer options (Schwartz et al., 2002). Expanding options (whether for screening, diagnosis, or treatment) is generally advantageous, especially if these offer different mixes of costs and benefits. However, increasing the number of alternatives also increases uncertainty in decision making and can pose profound challenges for patients and providers. For example, the use of more sensitive tests for cervical cancer lowers the threshold for detecting cervical cancer, decreases specificity, and increases uncertainty about the likelihood of future disease and the benefits of intervention. In other words, a more sensitive test will detect abnormalities in the cervix that are less likely to develop into cervical cancer than are more advanced lesions. A positive test provides a woman and her physician with less information about the risk posed by the lesion than if the lesion had been detected at a more advanced stage (Sundar et al., 2005). The problems posed by uncertainty and multiple options should not preclude developing or offering alternatives or encourage limiting choice. Rather, awareness of the difficulties should foster more research on how best to present complex choices and highlight the need for clear explanations and decision aids for such decisions. The increased knowledge about multiple end points that might be affected by a treatment decision (that is, if a treatment for one disease might not only decrease the risk of adverse consequences from that disease but also increase the
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Women’s Health Research: Progress, Pitfalls, and Promise risk of other diseases) introduces additional challenges, including questions as to which end points are most important; how to weigh multiple end points, which might vary in severity, timing, and likelihood; and how to assess composite impact. For example, the WHI reported on dozens of outcomes. There are attempts to report on composite end points (such as the WHI “global index” and a similar index for tamoxifen), but there is no consensus on components of these indexes or their internal weighting (Sundar et al., 2005). Advances in decision-making science over the last 2 decades provide greater understanding of the barriers to optimal decision making by both providers and patients. Patient preference is playing a larger role in treatment decisions through shared clinical decision making (O’Connor et al., 2007). Decision aids can facilitate communication between patients and providers concerning specific clinical decisions, make information about options and outcomes available, and clarify personal values (O’Connor et al., 1999). Decision aids are particularly helpful when there is no clear right or wrong decision and the evidence supporting different treatment options suggests equipoise. Such aids have proved to be effective, for example, in relation to decisions regarding treatments for breast cancer. In one study, Sepucha and colleagues (2002) randomized breast-cancer patients to an intervention that helped them to prepare for a consultation visit or to usual care. Patients who received consultation planning were more satisfied with their consultation, as were the physicians who treated women in the intervention group. Later studies have shown that those tools not only increase satisfaction but enhance communication and improve decision quality and that such practices can be institutionalized into clinical care, not only in the academic medical setting in which they were developed but in practices that serve rural women (Belkora et al., 2009; Franklin et al., 2009). More sophisticated computerized risk models that can account for many conditions that affect women (such as breast cancer, cervical cancer, and osteoporosis) have been developed and can be used as decision-making tools. Developments Aimed at Speeding Translation In women’s health, as in all elements of health, there is a large gap between research discoveries and their implementation into practices that result in better outcomes. Increased investment in health research in recent times has resulted in an explosion of discoveries. However, the serendipitous nature of translation and the barriers to the adoption of new discoveries are reflected in the 15–20 years that it typically takes for discoveries to be adopted into clinical practice (Bansal and Barnes, 2008). Several developments are working to speed the process. One is the emphasis in the National Institutes of Health (NIH) on translational research. Policy makers, administrators, and scientists are increasingly considering how to translate basic-science discoveries at the molecular and animal levels into human-health applications at the clinical and population levels more
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Women’s Health Research: Progress, Pitfalls, and Promise rapidly. NIH has funded Clinical and Translational Science Awards to medical research institutions to support consortia whose goal is to develop the infrastructure needed to speed translation of research from bench to treatment, from treatment to provider practice, and from provider practice to improved population health (NIH, 2010). A second development is the emergence of the health-consumer advocacy movement, which has sought a more active role for laypersons in their own health care (Keefe et al., 2006). A number of advocacy groups are devoted to women’s health and have pushed for increased research and increased translation of research findings into practice, including groups advocating for research, treatment, and policy changes related to breast cancer and to heart disease in women (Kolker, 2004; Lerner, 2002). For example, the National Breast Cancer Coalition (NBCC) had as one of its main goals “increasing access to screening and treatment for all women.” The NBCC has been credited with ensuring congressional funding for the National Breast and Cervical Cancer Early Detection Program and the Breast and Cervical Cancer Prevention and Treatment Act of 2000, which provide funding, respectively, for breast- and cervical-cancer screening and for treatment for women who cannot afford to pay (Lerner, 2002). The NBCC is one of many groups that have contributed to an improvement in women’s health, either through the women’s health movement in general or through organizations related to specific conditions (Allsop et al., 2004; Keefe et al., 2006; Kolker, 2004). Third, the movement toward evidence-based practice is creating demand for a more rigorous evaluation of new treatments. Research findings are necessary for evidence-based medicine that can be used to speed the adoption of effective and safe interventions while avoiding interventions that are less effective, ineffective, harmful, or more expensive (IOM, 2008). Pressures for evidence-based medicine arose, in part, from women’s experiences with drugs whose adverse health effects and efficacy were supported by inadequate data. Two examples are diethylstil-bestrol, which resulted in a rare form of vaginal cancer in the female offspring of women who used it while pregnant (Herbst and Anderson, 1990), and the WHI, which demonstrated that hormone therapy, which without proper trials had been in widespread use to reduce cardiovascular risk in women, was not effective in reducing cardiovascular risk and, in fact, increased the risk of breast cancer in women (Writing Group for the Women’s Health Initiative Investigators, 2002). COMMUNICATION Women are not passive recipients of care, but active participants in decision making (Braddock et al., 1997). To be effective in that role, however, women need access to clear and accurate information. That need highlights the importance of communicating scientific findings, which can often be complex, in simple, accurate, understandable, and actionable messages. Although a substantial literature provides information on the process of communication itself and on identifying
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Women’s Health Research: Progress, Pitfalls, and Promise strategies that are effective in the diffusion and adoption of new information and approaches (Rogers, 2003), the findings are not explicitly developed in relation to the communication of research findings to women. Women’s access to research findings and their capacity to use them to improve their health depend on a number of factors, including their SES, race, and ethnicity. Greater uptake of new information by those who have more advantages works to increase disparities when new data are available (Donohue et al., 1975; Viswanath and Finnegan, 1996). Even when research results are delivered by reliable and objective sources, problems can emerge in communicating them. Some of the problems are derived from the complexity of results, which may generate confusion. An example is the recent statement released by the US Preventive Services Task Force on mammography screening. It reviewed extensive data on the appropriateness of mammography screening for women and on the balance between lives saved through early detection and adverse effects of false-positive results as these varied by age (discussed in case study below) (Nelson et al., 2009). One of the task force’s recommendations for women aged 40–49 was that “the decision to start regular, biennial screening mammography before the age of 50 years should be an individual one and take patient context into account, including the patient’s values regarding specific benefits and harms” (US Preventive Services Task Force, 2009). The main message received by the public, however, was that women aged 40–49 years should not routinely screen for breast cancer. Another example of the difficulty of disseminating research information, also discussed below, is the WHI, in which messages were communicated rapidly to women in the study but only later to physicians; there was thus a lag in the movement of complete information to clinicians who were receiving questions from and giving advice to female patients before they had it (Bush et al., 2007). The Internet has added a powerful new dynamic to communicating information (Viswanath and Finnegan, 1996). About four-fifths of American adults use the Internet in their homes, offices, schools, or other locations (Harris Interactive, 2008a), and the population of Internet users increasingly looks like the population of the United States. Initially dominated by men, the population of Internet users is today equally divided between men and women. The Internet has become a common source of health information for people in general and for women in particular. Over 80% of Internet users said that they had looked on line for health information (Harris Interactive, 2008b). The Internet was the third-most frequent (46%) source of information that respondents reported turning to when facing a health problem, behind professionals (83%) and family and friends (51%) (Estabrook et al., 2007). Fewer people turned to print sources of health information (37%), television or radio (16%), government agencies (15%), and libraries (10%) (Estabrook et al., 2007). Women have consistently engaged in more health-related online activities than men (Tu and Cohen, 2008). A 2006 survey found that 54% of health-
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Women’s Health Research: Progress, Pitfalls, and Promise information seekers were women, whether they were acting as consumers, caregivers, or “e-patients” (Internet users who seek online health information that is of particular interest to them). The top health topics on which women sought information were specific diseases or medical problems (69%); medical treatments (54%); diet, nutrition, and vitamins (53%); exercise or fitness (46%); and prescription or over-the-counter drugs (39%). Women reported significantly more interest in online information than men about specific diseases, particular treatments, diet, and mental health (Fox, 2006). Another study found that women are more likely than men to look online for support groups to communicate about health conditions (Fallows, 2005). There is evidence that Internet users, including women, find online health information to be helpful and use it to make decisions about their health. In one survey of e-patients, 31% said that they or someone they knew had been substantially helped by following medical advice or health information found on the Internet, whereas only 3% said that they or someone they knew had been seriously harmed by following advice found online (Fox, 2006). Women who have breast cancer use the Internet to access information about their condition, share experiences, and obtain support (Fogel et al., 2002; Klemm et al., 1998; Sharf, 1997). As discussed earlier, however, more information is not necessarily better from the health consumer’s standpoint. Evidence is emerging that confusion about cancer in general may be having an adverse effect on the American public. In a cross-sectional analysis, Arora and colleagues (2008) found that of the 45% of American adults who had searched for cancer information on the Web, nearly three-fifths expressed concerns about the quality of information, nearly half reported negative experiences when searching for cancer information, and about two-fifths reported frustration in their searching. Compared with those who had a better experience, those experiencing such frustration were more likely to agree that “everything causes cancer,” that there are few actions a person can take to prevent cancer, and that it is hard to know what prevention recommendations to follow. Importantly those who had no more than a high-school education were more likely to report having an adverse experience and the other effects mentioned. As the Internet continues to transform how people receive health information and interact with their health-care providers, work is needed to address those concerns and frustrations. CASE STUDIES IN TRANSLATION AND COMMUNICATION The Women’s Health Initiative Hormone therapy has been studied, prescribed, debated, hailed, and criticized for more than 70 years (Rymer et al., 2003). From the middle 1960s to 2002, hormone therapy for postmenopausal women (then called hormone-replacement therapy) was commonly prescribed not only for menopause symptoms but be-
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Women’s Health Research: Progress, Pitfalls, and Promise Lessons Learned The case of mammography illustrates the interaction of the forces and factors of science, politics, economics, and culture that combine with mass-media communication to shape and reshape the research agenda for women’s health and the health services that they receive. The process frames the meaning of women’s health itself and the interpretation and limits of scientific data. The meaning and interpretation of scientific results is often variable and contentious, especially as findings are translated into clinical recommendations and strategies for improving women’s health. The dynamics of the mammography issue offer a case in point about the struggle of conveying in the media the meaning and interpretation of scientific findings given the sometimes conflicting opinions within the scientific community about the findings and how best to effectively convey the messages. Although the portrayal of conflict can increase the salience of an issue so as to gain the public’s attention, it can also foster contentiousness among policy makers, scientists, and others. Such conflict runs the risk of discouraging and confusing women potentially to the point of fatalism about the causes and prevention of breast cancer. That impact is greater on those of lower SES, who tend to have poorer health outcomes overall. CONCLUSIONS Barriers delay or preclude the translation of findings of women’s health research into practice. Those barriers range from fragmentation of health-care delivery and health-care policies, and reimbursement to the complexity of science and research, challenges in communicating understandable and actionable messages, and consumer confusion and apprehension. Few studies of how to increase the speed or extent of translation of findings related to women’s health into clinical practice have been conducted. Clinical-practice guidelines, mandatory standards, reimbursement practices, laws (including public-health laws), and health-professions school curricula and continuing education are some methods of translation that have been used and warrant evaluation for translating research findings on women. Women are, in general, a receptive audience for medical messages and information. Many messages, however, are confusing because of conflicting results and uncertainty in data. Improved strategies for communicating research results to the public are needed. RECOMMENDATIONS Research should be conducted on the best ways to translate research findings on women’s health into clinical practice and public-health policies rapidly. Research findings should be incorporated at the practitioner level and at the overall public-health systems level through, for example, the use of targeted
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Women’s Health Research: Progress, Pitfalls, and Promise education programs for practitioners and the development of guidelines. Research on what messages women find confusing and how those messages could be delivered in a more effective manner is needed. As those programs and guidelines are developed and implemented, they should be evaluated to ensure effectiveness. HHS should appoint a task force to develop an evidence-based strategy to communicate and market health messages to women that are based on objective research results. In addition to content experts in relevant departments and agencies, the task force should include mass-media and targeted-messaging and marketing experts. The goals of the strategy should include effective communication to the diverse audience of women; increasing awareness of women’s health issues and treatments, including prevention and intervention strategies; and decreasing confusion in light of complex and sometimes conflicting health messages. Strategies to explore might include requiring a plan for communication and dissemination of findings in government-funded studies to the public, providers, and policy makers, similar to the requirement to have a data and safety monitoring board in those studies; establishing a national media advisory panel with experts in women’s health, which would be readily available to provide context to reporters, scientists, clinicians, and policy makers at the time of release of important or potentially complex new research reports. (One goal of the panel could be to explain discrepancies and uncertainties in research findings); and creation by the HHS OWH of a program dedicated to translation of findings of women’s health research into practice. REFERENCES Allsop, J., K. Jones, and R. Baggott. 2004. Health consumer groups in the UK: A new social movement? Sociology of Health & Illness 26(6):737–756. Arora, N. K., B. W. Hesse, B. K. Rimer, K. Viswanath, M. L. Clayman, and R. T. Croyle. 2008. Frustrated and confused: The American public rates its cancer-related information-seeking experiences. Journal of General Internal Medicine 23(3):223–228. Bansal, A. T., and M. R. Barnes. 2008. Genomics in drug discovery: The best things come to those who wait. Current Opinion in Drug Discovery & Development 11(3):303–310. Barber, C. A., K. Margolis, R. V. Luepker, and D. K. Arnett. 2004. The impact of the Women’s Health Initiative on discontinuation of postmenopausal hormone therapy: The Minnesota Heart Survey (2000–2002). Journal of Women’s Health 13(9):975–984. Bean-Mayberry, B., E. M. Yano, N. Bayliss, J. Navratil, C. S. Weisman, and S. H. Scholle. 2007a. Federally funded comprehensive women’s health centers: Leading innovation in women’s healthcare delivery. Journal of Women’s Health 16(9):1281–1290. Bean-Mayberry, B. A., E. M. Yano, C. D. Caffrey, L. Altman, and D. L. Washington. 2007b. Organizational characteristics associated with the availability of women’s health clinics for primary care in the veterans health administration. Military Medicine 172(8):824–828. Belkora, J. K., M. K. Loth, S. Volz, and H. S. Rugo. 2009. Implementing decision and communication aids to facilitate patient-centered care in breast cancer: A case study. Patient Education and Counseling 77(3):360–368.
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