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A Community-Powered, Asset-Based Approach to Intersectoral Urban Health System Planning in Chicago
Stacy Tessler Lindau1, Katherine Diaz Vickery1, HwaJung Choi1
1Stacy Tessler Lindau, Jennifer Makelarski, and Amber Matthews are with the Department of Obstetrics and Gynecology, University of Chicago, Chicago, IL. Katherine Diaz Vickery is with the Department of Medicine, Hennepin County Medical Center, Minneapolis, MN. HwaJung Choi is with the Department of Internal Medicine, Robert Wood Johnson Foundation Clinical Scholars Program, University of Michigan, Ann Arbor. Matthew Davis is with the Child Health Evaluation and Research Unit, University of Michigan, Ann Arbor.
Objectives:
To describe, and provide a nomenclature and taxonomy for classifying, the economic sectors and functional assets that could be mobilized as partners in an intersectoral health system.
Methods:
MAPSCorps (Meaningful, Active, Productive Science in Service to Community) employed local youths to conduct a census of all operating assets (businesses and organizations) on the South Side of Chicago, Illinois, in 2012. We classified assets by primary function into sectors and described asset and sector distribution and density per 100 000 population. We compared empirical findings with the Institute of Medicine's (IOM's) conceptual representation and description of intersectoral health system partners.
Results:
Fifty-four youths mapped a 62-square-mile region over 6 weeks; we classified 8376 assets into 23 sectors. Sectors with the most assets were food (n = 1214; 230/100 000 population), trade services (n = 1113; 211/100 000), and religious worship (n = 974;185/100 000). Several large, health-relevant sectors (2499 assets) were identified in the region but not specified in the IOM's representation. Governmental public health, central to the IOM concept, had no physical presence in the region.
Conclusions:
Local youths identified several thousand assets across a broad diversity of sectors that could partner in an intersectoral health system. Empirically informed iteration of the IOM concept will facilitate local translation and propagation.
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