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Neighborhood Socioeconomic Status, Health Insurance, and CKD Prevalence: Findings From a Large Health Care System
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 he...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350830/ https://www.ncbi.nlm.nih.gov/pubmed/34401723 http://dx.doi.org/10.1016/j.xkme.2021.03.008 |
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author | Ghazi, Lama Osypuk, Theresa L. MacLehose, Richard F. Luepker, Russell V. Drawz, Paul E. |
author_facet | Ghazi, Lama Osypuk, Theresa L. MacLehose, Richard F. Luepker, Russell V. Drawz, Paul E. |
author_sort | Ghazi, Lama |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8350830 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-83508302021-08-15 Neighborhood Socioeconomic Status, Health Insurance, and CKD Prevalence: Findings From a Large Health Care System Ghazi, Lama Osypuk, Theresa L. MacLehose, Richard F. Luepker, Russell V. Drawz, Paul E. Kidney Med Original Research 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. Elsevier 2021-05-23 /pmc/articles/PMC8350830/ /pubmed/34401723 http://dx.doi.org/10.1016/j.xkme.2021.03.008 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Ghazi, Lama Osypuk, Theresa L. MacLehose, Richard F. Luepker, Russell V. Drawz, Paul E. Neighborhood Socioeconomic Status, Health Insurance, and CKD Prevalence: Findings From a Large Health Care System |
title | Neighborhood Socioeconomic Status, Health Insurance, and CKD Prevalence: Findings From a Large Health Care System |
title_full | Neighborhood Socioeconomic Status, Health Insurance, and CKD Prevalence: Findings From a Large Health Care System |
title_fullStr | Neighborhood Socioeconomic Status, Health Insurance, and CKD Prevalence: Findings From a Large Health Care System |
title_full_unstemmed | Neighborhood Socioeconomic Status, Health Insurance, and CKD Prevalence: Findings From a Large Health Care System |
title_short | Neighborhood Socioeconomic Status, Health Insurance, and CKD Prevalence: Findings From a Large Health Care System |
title_sort | neighborhood socioeconomic status, health insurance, and ckd prevalence: findings from a large health care system |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8350830/ https://www.ncbi.nlm.nih.gov/pubmed/34401723 http://dx.doi.org/10.1016/j.xkme.2021.03.008 |
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