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While historians have analyzed and discussed the fragmentation of life in transatlantic societies by focusing on economics, law, or politics, we propose that a focus on biomedicine in the period since 1970 adds important perspectives on the shifting public role of science and of medicine. Biomedicine (the convergence of biological research and of medicine within the life sciences) moved to the center of public debates after the end of the Cold War. The papers in this special issue highlight how it became a prism through which societies, governments, and states renegotiated the roles of the medical and scientific professions, the opportunities, risks, and limits associated with scientific research and medical technologies, the responsibilities of individuals and of the professions in making life-or-death decisions, and important norms shaping the lives of individuals, families, and communities. Historians have analyzed and discussed the impact of market-oriented governing rationalities and of shifting discourses about the societal roles of individuals by focusing on politics, economics, or law. The contributors to this special issue propose to expand the focus towards biomedicine in order to include developments that otherwise would remain distinct from evolving narratives in recent contemporary history. [ABSTRACT FROM AUTHOR]

Background: The prevalence of type 2 diabetes (T2D) in the French overseas department of French Guiana, South America, nearly doubles that in its European counterpart, Metropolitan France. This region is demographically diverse and includes several populations of Indigenous Peoples. Although such populations are at particular risk of developing T2D across the Americas, very little is known about their health status in French Guiana, and accurate numbers of diabetic patients do not exist. Methods: In light of a potential public health crisis, an ethnomedicinal study of diabetes experienced by Indigenous Parikweneh was conducted to provide better insight into the knowledge, attitudes and practices (KAP) related to this quickly emerging disease in French Guiana. Altogether, 75 interviews were conducted with community members and Elders, as well as healthcare professionals and administrators providing services to the Parikweneh population of Macouria and Saint-Georges de l'Oyapock. Results: Interviews suggest a high incidence of T2D in this population, with cases that have risen quickly since the mid-twentieth century. Parikweneh participants linked the development of the illness to dietary changes, notably through the introduction of new and sweet foods. Recognizing the complexity of diabetes and its symptoms, diabetic patients highlighted the importance of biomedical treatments and follow-ups, though they frequently alternated or used them concomitantly with Parikweneh medicines. With the help of biomedical tools (i.e. glucometer), local medicinal practices mirrored biomedical approaches through dietary adaptation and the use of medicinal animals and plants for glycaemic control and the treatment of complications from the disease. Conclusion: Parikweneh are appropriating T2D into their knowledge system and adapting their health system in response to this relatively new health concern. A greater understanding of local practices and perceptions relating to T2D among medical staff may therefore be beneficial for meeting patients' needs, providing greater autonomy in their health path, and improving treatment outcomes. [ABSTRACT FROM AUTHOR]

Budget experiments can provide additional guidance to health system reform requiring the identification of a subset of programs and services that accrue the highest social value to ‘communities’. Such experiments simulate a realistic budget resource allocation assessment among competitive programs, and position citizens as decision makers responsible for making ‘collective sacrifices’. This paper explores the use of a participatory budget experiment (with 88 participants clustered in social groups) to model public health care reform, drawing from a set of realistic scenarios for potential health care users. We measure preferences by employing a contingent ranking alongside a budget allocation exercise (termed ‘willingness to assign’) before and after program cost information is revealed. Evidence suggests that the budget experiment method tested is cognitively feasible and incentive compatible. The main downside is the existence of ex-ante “cost estimation” bias. Additionally, we find that participants appeared to underestimate the net social gain of redistributive programs. Relative social value estimates can serve as a guide to aid priority setting at a health system level. [ABSTRACT FROM AUTHOR]

The model of prevention science advocated by the Institute of Medicine (P. J. Mrazek&R. J. Haggerty, 1994) has not lead to widespread adoption of prevention and promotion programs for four reasons. The model of dissemination of programs to communities fails to consider community and organizational capacity to implement programs, ignores the need for congruence in values between programs and host sites, displays a pro-innovation bias that undervalues indigenous practices, and assumes a simplistic model of how community organizations adopt innovations. To address these faults, researchers should locate, study, and help disseminate successful indigenous programs that fit community capacity and values. In addition, they should build on theoretical models of how locally developed programs work to make existing programs and polices more effective. [ABSTRACT FROM AUTHOR]

Objective. To conceptualize and measure community contextual influences on population health and health disparities. Data Sources. We use traditional and nontraditional secondary sources of data comprising a comprehensive array of community characteristics. Study Design. Using a consultative process, we identify 12 overarching dimensions of contextual characteristics that may affect community health, as well as specific subcomponents relating to each dimension. Data Collection. An extensive geocoded library of data indicators relating to each dimension and subcomponent for metropolitan areas in the United States is assembled. Principal Findings. We describe the development of community contextual health profiles, present the rationale supporting each of the profile dimensions, and provide examples of relevant data sources. Conclusions. Our conceptual framework for community contextual characteristics, including a specified set of dimensions and components, can provide practical ways to monitor health‐related aspects of the economic, social, and physical environments in which people live. We suggest several guiding principles useful for understanding how aspects of contextual characteristics can affect health and health disparities. [ABSTRACT FROM AUTHOR]