Journal article
L.E.A.D.: A Framework for Evidence Gathering and Use for the Prevention of Obesity and Other Complex Public Health Problems
Health education & behavior, v 41(1), pp 85-99
01 Feb 2014
PMID: 23785069
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
This article summarizes a comprehensive, systems-oriented framework designed to improve the use of a wide variety of evidence sources to address population-wide obesity problems. The L.E.A.D. framework (for Locate the evidence, Evaluate the evidence, Assemble the evidence, and inform Decisions), developed by an expert consensus committee convened by the Institute of Medicine, is broadly applicable to complex, community-wide health problems. The article explains how to use the framework, presenting an evidence typology that helps specify relevant research questions and includes examples of how particular research methodologies and sources of evidence relate to questions that stem from decision-maker needs. The utility of a range of quantitative, qualitative, and mixed method designs and data sources for assembling a broad and credible evidence base is discussed, with a call for ongoing evidence generation to fill information gaps using the recommended systems perspective.
Metrics
Details
- Title
- L.E.A.D.: A Framework for Evidence Gathering and Use for the Prevention of Obesity and Other Complex Public Health Problems
- Creators
- Madhabi Chatterji - Columbia Univ, Teachers Coll, New York, NY 10027 USALawrence W. Green - Univ Calif San Francisco, San Francisco, CA 94143 USAShiriki Kumanyika - Univ Penn, Philadelphia, PA 19104 USA
- Publication Details
- Health education & behavior, v 41(1), pp 85-99
- Publisher
- Sage
- Number of pages
- 15
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Urban Health Collaborative; Dana and David Dornsife School of Public Health
- Web of Science ID
- WOS:000330626000011
- Scopus ID
- 2-s2.0-84891892642
- Other Identifier
- 991019312333004721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Public, Environmental & Occupational Health