Determining the Optimal Outcome Measures for Studying the Social Determinants of Health
| Autor: | James A. Riccio, Jennifer J. Manly, Daniel W. Belsky, Kimberly G. Noble, Peter A. Muennig, Bruce S. McEwen |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Health
Toxicology and Mutagenesis media_common.quotation_subject Delphi method lcsh:Medicine Public Policy randomized-controlled trial outcome measures 03 medical and health sciences 0302 clinical medicine 030225 pediatrics Outcome Assessment Health Care Humans 030212 general & internal medicine Social determinants of health Randomized Controlled Trials as Topic Social policy media_common Public economics Poverty Developed Countries Communication lcsh:R Public Health Environmental and Occupational Health anti-poverty policies and health United States social determinants of health Workforce Income Conceptual model social policies and health Systematic process Psychology Developed country |
| Zdroj: | International Journal of Environmental Research and Public Health, Vol 17, Iss 3028, p 3028 (2020) International Journal of Environmental Research and Public Health |
| ISSN: | 1660-4601 |
| DOI: | 10.3390/ijerph17093028 |
| Popis: | Americans have significantly poorer health outcomes and shorter longevity than citizens of other industrialized nations. Poverty is a major driver of these poor health outcomes in the United States. Innovative anti-poverty policies may help reduce economic malaise thereby increasing the health and longevity of the most vulnerable Americans. However, there is no consensus framework for studying the health impacts of anti-poverty social policies. In this paper, we describe a case study in which leading global experts systematically: (1) developed a conceptual model that outlines the potential pathways through which a social policy influences health, (2) fits outcome measures to this conceptual model, and (3) estimates an optimal time frame for collection of the selected outcome measures. This systematic process, called the Delphi method, has the potential to produce estimates more quickly and with less bias than might be achieved through expert panel discussions alone. Our case study is a multi-component randomized-controlled trial (RCT) of a workforce policy called MyGoals for Healthy Aging. |
| Databáze: | OpenAIRE |
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