Evaluating Diabetes Health Policies Using Natural Experiments The Natural Experiments for Translation in Diabetes Study

被引：29

作者：

Ackermann, Ronald T. ^{[1
,2
]}

Duru, O. Kenrik ^{[3
]}

Albu, Jeanine B. ^{[5
,6
]}

Schmittdiel, Julie A. ^{[4
]}

Soumerai, Stephen B. ^{[7
,8
]}

Wharam, James F. ^{[7
,8
]}

Ali, Mohammed K. ^{[9
,10
]}

Mangione, Carol M. ^{[3
]}

Gregg, Edward W. ^{[10
]}

机构：

[1] Northwestern Univ, Feinberg Sch Med, Dept Med, Chicago, IL 60611 USA

[2] Northwestern Univ, Feinberg Sch Med, Dept Med Social Sci, Chicago, IL 60611 USA

[3] Univ Calif Los Angeles, Div Gen Internal Med, Hlth Serv Res, Los Angeles, CA 90024 USA

[4] Kaiser Permanente No Calif, Div Res, Oakland, CA USA

[5] St Lukes Roosevelt Hosp, Dept Med, New York, NY USA

[6] St Lukes Roosevelt Hosp, New York Obes Res Ctr, New York, NY USA

[7] Harvard Univ, Sch Med, Dept Populat Med, Boston, MA USA

[8] Harvard Pilgrim Hlth Care Inst, Boston, MA USA

[9] Emory Univ, Rollins Sch Publ Hlth, Hubert Dept Global Hlth, Atlanta, GA 30322 USA

[10] CDC, Natl Ctr Chron Dis Prevent & Hlth Promot, Div Diabet Translat, Atlanta, GA 30333 USA

来源：

AMERICAN JOURNAL OF PREVENTIVE MEDICINE | 2015年 / 48卷 / 06期

关键词：

QUALITY-OF-CARE; MEDICAID; METAANALYSIS; STATE; COST;

D O I：

10.1016/j.amepre.2014.12.010

中图分类号：

R1 [预防医学、卫生学];

学科分类号：

1004 ; 120402 ;

摘要：

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. (C) 2015 American Journal of Preventive Medicine. All rights reserved.

引用

页码：747 / 754

页数：8

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