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Matthews, Marc

Mayo Clinic

Mayo Clinic, Rochester, MN, USA.

Citations 1

The Association Between Patient-Reported Social Risks and the HOUSES Index: A Rural-Urban Comparison
Sosso, Jessica , Wi, Chung‐Il , Jegen, Dominika , Matthews, Marc R. , Maxson, Julie, Bernard, Matthew , Foss, Randy , Hidaka, Brandon H. , Passmore, Rachael , Garrison, Gregory M. , Sosso, Jessica L , Wi, Chung-Ii , Jegen, Dominika A , Matthews, Marc, Stacey, Stephen K , Foss, Randy , Hidaka, Brandon , Passmore, Rachael , Garrison, Gregory M , Thacher, Thomas D , Matthews, Marc R , Fischer, Karen M., Thacher, Tom D.

Journal of Primary Care & Community Health | September 2, 2025 | Volume: 16 | Issue: No issue available | Pages: No page available

10.1177/21501319251369673 Get It

Introduction/Objectives: Little is known about the prevalence of patient-reported social risk factors and the use of the HOUSES Index, a simple, reliable method of assessing socioeconomic status (SES) based on publicly available housing data, in a predominantly rural, primary care population. Methods: We conducted a cross-sectional analysis of adult patients paneled to family medicine clinicians in a US Midwest health system as of December 31, 2022. Patients’ listed address determined HOUSES Index as quartile rank (Q1 lowest SES) and rural/urban status. Social risk data including housing, food, transportation, finances, and violence were collected from health record questionnaires. A mixed effect model was used to assess associations between social risk, HOUSES Index, and rurality. Results: Of the 352 355 patients included, rural patients were more likely than urban patients to report all social risk factors and had lower SES as measured by HOUSES quartiles. In the mixed effects analysis, HOUSES quartile was independently predictive of reporting an at-risk social risk factor (Q1 vs Q4 OR = 2.27, 95% CI = 2.19-2.37), but rurality was not (OR = 1.02, 95% CI = 0.97-1.07) after adjusting for HOUSES. Conclusions: The increased prevalence of social risk factors among rural residents is largely explained by individual SES measured by HOUSES Index.