The BARI-Hoods Project: SDoH and Postoperative Weight Loss Integrating EHR, Census, and County Data

Background: Social determinants of health (SDoH) have gained attention for their role in weight loss following bariatric surgery. Electronic health record (EHR) data alone provides limited explanation into racial disparities in postoperative weight loss. The objective of the BARIhoods project is to...

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Bibliographic Details
Published in:Obesity (Silver Spring, Md.) Md.), 2022-11, Vol.30, p.92-93
Main Authors: Pratt, Keeley, Outrich, Michael, Breslin, Lindsay, Blalock, Jamie, Focht, Brian, Brethauer, Stacy, Noria, Sabrena, Needleman, Bradley, Hanks, Andrew
Format: Article
Language:English
Subjects:
Censuses
Economic conditions
Economic statistics
Electronic health records
Gastrointestinal surgery
Grocery stores
Inequality
Race
Racial differences
Unemployment
Variables
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Summary:Background: Social determinants of health (SDoH) have gained attention for their role in weight loss following bariatric surgery. Electronic health record (EHR) data alone provides limited explanation into racial disparities in postoperative weight loss. The objective of the BARIhoods project is to integrate EHR, Census, and GIS county data to explore racial disparities in postoperative weight loss for patients in the largest populous county of Ohio. Methods: The sample included 775 patients (82.2% female; 37.0% Black) who had surgery from 2015 to 2019 and lived in Franklin county, Ohio. EHR variables included race (Black, White), insurance (public, private), and procedure (48.9% Roux, 51.1% Sleeve). Census variables included % of adults over age 25 without a high school diploma and unemployment rate. County variables included number of sidewalks, grocers, and recreational areas/facilities within a 5-minute walk from home. Bivariate analyses were run with race and all variables. A mixed multilevel model was run with the dependent variable % total weight loss (TWL) from surgery to 24 months with between subjects factors: visit, race, Census and county variables, adjusted for covariates (insurance, procedure). Two additional models determined within group race differences. Results: A higher number of Black patients had public insurance (p
ISSN:1930-7381
1930-739X