Abstract
Rational & Objective: Neighborhood socioeconomic status (SES) and health insurance status may be important upstream social determinants of chronic kidney disease (CKD), but their relationship remains unclear. The aim of this study was to determine whether neighborhood SES and individual-level health insurance status were independently associated with CKD prevalence.
Study Design: Observational study using electronic health records (EHRs).
Setting & Participants: EHRs of patients (n = 185,269) seen at a health care system in the 7-county Minneapolis/St Paul area (2017-2018).
Exposures: Census tract neighborhood SES measures (median value of owner-occupied housing units [wealth], percentage of residents aged >25 years with bachelor's degree or higher [education]) and individual-level health insurance status (aged <65 years: Medicaid vs other insurance; ≥65 years: Medicare vs Medicare and supplemental insurance plan) were obtained from the American Community Survey and EHR data. Neighborhood SES was operationalized into quartiles, comparing low (first quartile) versus high (fourth quartile) neighborhood SES.
Outcomes: CKD prevalence: estimated glomerular filtration rate < 60 mL/min/1.73 m 2 or proteinuria.
Analytic Approach: Multilevel Poisson regression with robust error variance with a random intercept at the census-tract level, adjusted for demographic and clinical covariates, was used to estimate the association between neighborhood SES, insurance, and CKD.
Results: Neighborhood SES and insurance were independently associated with CKD prevalence. In covariate-adjusted models, patients living in low versus high neighborhood SES had a higher CKD prevalence among both younger and older patients. For example, the prevalence ratios of CKD in low versus high neighborhood SES as defined by education among patients younger than 65 and 65 years and older were 1.11 (95% CI, 1.05-1.18) and 1.08 (95% CI, 1.04-1.12), respectively. Patients younger than 65 years receiving Medicaid had higher CKD prevalence versus those with other insurance (1.51 [95% CI, 1.43-1.6]). For patients 65 years and older, insurance was not associated with prevalence of CKD in the fully adjusted model.
Limitations: One health care system and selection bias.
Conclusions: Living in low neighborhood SES as defined by wealth and education and having Medicaid for patients younger than 65 years were associated with higher CKD prevalence.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 555-564.e1 |
| Journal | Kidney Medicine |
| Volume | 3 |
| Issue number | 4 |
| DOIs | |
| State | Published - Jul 1 2021 |
Bibliographical note
Funding Information:This research was primarily supported by the National Institutes of Health’s National Center for Advancing Translational Sciences , grant UL1TR002494, and the University of Minnesota Doctoral Dissertation Fellowship (for Dr Ghazi). The content is views of the National Institutes of Health’s National Center for Advancing Translational Sciences. Dr Osypuk was supported by the National Institute of Child Health and Human Development (R01HD090014). Dr MacLehose was supported by the U.S. National Library of Medicine (R01LM013049). None of the funders had any role in the study design; data collection, analysis, or reporting; or decision to submit the application.
Publisher Copyright:
© 2021 The Authors
Keywords
- Chronic kidney disease
- Medicaid
- electronic health records
- prevalence
- socioeconomic status