Using population reach as a proxy metric for intervention impact to prioritize selection of obesity prevention strategies in Los Angeles County, 2010-2012.
Recent federal initiatives have used estimates of population reach as a proxy metric for intervention impact, in part to inform resource allocation and programmatic decisions about competing priorities in the community. However, in spite of its utility, population reach as a singular metric of intervention impact may be insufficient for guiding multifaceted program decisions. A more comprehensive, validated approach to measure or forecast dose may complement reach estimates to inform decision makers about optimal ways to use limited resources.
Brenda Robles, Tony Kuo, Michael Leighs, and Paul Simon are with the Division of Chronic Disease and Injury Prevention, Los Angeles County Department of Public Health, Los Angeles, CA. Tony Kuo is also with the Department of Family Medicine, David Geffen School of Medicine, University of California, Los Angeles (UCLA). Paul Simon is also with the Department of Epidemiology, Jonathan and Karin Fielding School of Public Health, UCLA. May Choo Wang is with the Department of Community Health Sciences, Jonathan and Karin Fielding School of Public Health, UCLA.
Brenda
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Robles
Tony
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Kuo
Michael
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Leighs
May Choo
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Wang
Paul
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Simon
D002487:Centers for Disease Control and Prevention, U.S.; D004032:Diet; D015444:Exercise; D006801:Humans; D015141:Los Angeles; D009765:Obesity / Q000517:prevention & control*; D016730:Program Development; D011634:Public Health / Q000379:methods*; D040841:Resource Allocation / Q000379:methods*; D012959:Socioeconomic Factors; D014481:United States