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Community health worker navigation to improve allostatic load: The Integrated Population Health (IPOP) study
Heather Kitzman1,2, Leilani Dodgen2, Cristian Vargas2
1Peter J. O'Donnell Jr. School of Public Health, UT Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX, 75390, USA.
Background:
Social determinants of health (SDOH) and cumulative stress contribute to chronic disease development. The physiological response to repeated stressors typical of lower-income environments can be measured through allostatic load - a composite measure of cardiovascular, metabolic, and immune variables. Healthcare systems have employed patient navigation for social and medical needs to improve SDOH that has demonstrated limited impact on chronic disease outcomes. This study evaluates a novel community health worker navigation intervention developed using behavioral theories to improve access to social and medical services and provide social support for poverty stressed adults.
Methods:
The Integrated Population Health Study (IPOP) study is a randomized, parallel two arm study evaluating community health worker navigation in addition to an existing integrated population health program (IPOP CHW) as compared to Usual Care (population health program only, IPOP) on allostatic load and chronic disease risk factors. IPOP CHW participants receive a 10-month navigation intervention.
Results:
From 381 screened individuals, a total of 202 participants (age 58.15 ± 12.03 years, 74.75 % female, 79.21 % Black/African American, 17.33 % Hispanic) were enrolled and randomized to IPOP CHW (n = 100) or IPOP Only (n = 102).
Conclusion:
This study will evaluate whether CHW navigation, using a structured intervention based on health behavior theories, can effectively guide poverty stressed individuals to address social and medical needs to improve allostatic load-a composite of cumulative stress and physiological responses. Healthcare systems, nonprofit organizations, and governmental entities are interested in addressing SDOH to improve health, thus developing evidence-based interventions could have broad clinical and policy implications.
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