Evaluating diabetes health policies using natural experiments: the natural experiments for translation in diabetes study.
Evaluating diabetes health policies using natural experiments: the natural experiments for translation in diabetes study.
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DOI：
10.1016/j.amepre.2014.12.010
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发表时间：
2015-06
影响因子：
5.5
通讯作者：
Gregg, Edward W.
中科院分区：
文献类型：
--
作者：
Ackermann, Ronald T.;Duru, O. Kenrik;Albu, Jeanine B.;Schmittdiel, Julie A.;Soumerai, Stephen B.;Wharam, James F.;Ali, Mohammed K.;Mangione, Carol M.;Gregg, Edward W.
2型糖尿病的高发病率和高成本使其成为政策行动的一个迅速演变的重点。卫生系统、雇主、社区组织和公共机构越来越多地寻求将有前途的研究干预措施的好处转化为旨在预防或控制糖尿病的创新政策。这些卫生政策虽然以研究为指导，但并不能保证有效，而且可能产生机会成本或意外后果。自然实验使用实用的和可用的数据源来比较具体的政策与其他政策选择或预测在没有任何干预的情况下可能会发生什么。糖尿病翻译的自然实验（NEXT-D）研究是一个由学术，社区，行业和政策合作伙伴组成的网络，合作推进自然实验研究的方法和实践，共同目标是确定和优先考虑预防和控制糖尿病的最佳政策。本手稿描述了NEXT-D研究组在糖尿病预防或控制领域的多部门自然实验，作为案例，以说明自然实验研究方法的选择，设计，分析和固有的挑战，为卫生政策的制定或评估提供信息。
The high prevalence and costs of type 2 diabetes makes it a rapidly evolving focus of policy action. Health systems, employers, community organizations, and public agencies have increasingly looked to translate the benefits of promising research interventions into innovative polices intended to prevent or control diabetes. Though guided by research, these health policies provide no guarantee of effectiveness and may have opportunity costs or unintended consequences. Natural experiments use pragmatic and available data sources to compare specific policies to other policy alternatives or predictions of what would likely have happened in the absence of any intervention. The Natural Experiments for Translation in Diabetes (NEXT-D) Study is a network of academic, community, industry, and policy partners, collaborating to advance the methods and practice of natural experimental research, with a shared aim of identifying and prioritizing the best policies to prevent and control diabetes. This manuscript describes the NEXT-D Study group's multi-sector natural experiments in areas of diabetes prevention or control as case examples to illustrate the selection, design, analysis, and challenges inherent to natural experimental study approaches to inform development or evaluation of health policies.
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影响因子：
120.7
作者：
Bodenheimer, T;Wagner, EH;Grumbach, K
通讯作者：
Grumbach, K
影响因子：
39.2
作者：
Mangione, Carol M.;Gerzoff, Robert B.;Selby, Joe V.
通讯作者：
Selby, Joe V.
影响因子：
120.7
作者：
Costello, EJ;Compton, SN;Angold, A
通讯作者：
Angold, A
影响因子：
9.7
作者：
Haviland, Amelia M.;Marquis, M. Susan;Sood, Neeraj
通讯作者：
Sood, Neeraj
DOI：
10.1056/nejmsa1212321
发表时间：
2013-05-02
期刊：
The New England journal of medicine
影响因子：
--
作者：
Baicker K;Taubman SL;Allen HL;Bernstein M;Gruber JH;Newhouse JP;Schneider EC;Wright BJ;Zaslavsky AM;Finkelstein AN;Oregon Health Study Group
通讯作者：
Oregon Health Study Group