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Determining the Optimal Outcome Measures for Studying the Social Determinants of Health

Author

Listed:
  • Peter Muennig

    (Department of Health Policy and Management, Columbia University, New York, NY 10032, USA)

  • Bruce McEwen

    (Harold and Margaret Milliken Hatch Laboratory of Neuroendocrinology, The Rockefeller University, New York, NY 10065, USA)

  • Daniel W. Belsky

    (Department of Epidemiology, Columbia University, New York, NY 10032, USA)

  • Kimberly G. Noble

    (Neuroscience and Education Teachers College, Columbia University, New York, NY 10027, USA)

  • James Riccio

    (Low-Wage Workers and Communities Division of MDRC, New York, NY 10281, USA)

  • Jennifer Manly

    (Physicians and Surgeons, Columbia University, New York, NY 10032, USA)

Abstract

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.

Suggested Citation

  • Peter Muennig & Bruce McEwen & Daniel W. Belsky & Kimberly G. Noble & James Riccio & Jennifer Manly, 2020. "Determining the Optimal Outcome Measures for Studying the Social Determinants of Health," IJERPH, MDPI, vol. 17(9), pages 1-10, April.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:9:p:3028-:d:350945
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    References listed on IDEAS

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    1. Muennig, Peter & Franks, Peter & Jia, Haomiao & Lubetkin, Erica & Gold, Marthe R, 2005. "The income-associated burden of disease in the United States," Social Science & Medicine, Elsevier, vol. 61(9), pages 2018-2026, November.
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