Neighborhood Socioeconomic Status, Health Insurance, and CKD Prevalence: Findings From a Large Health Care System

被引:6
作者
Ghazi, Lama [1 ]
Osypuk, Theresa L. [2 ]
MacLehose, Richard F. [2 ]
Luepker, Russell, V [2 ]
Drawz, Paul E. [3 ]
机构
[1] Yale Univ, Sch Med, Clin & Translat Res Accelerator, New Haven, CT USA
[2] Univ Minnesota, Sch Publ Hlth, Div Epidemiol & Community Hlth, Minneapolis, MN USA
[3] Univ Minnesota, Div Renal Dis & Hypertens, Minneapolis, MN USA
基金
美国国家卫生研究院;
关键词
CHRONIC KIDNEY-DISEASE; SUPPLEMENTAL COVERAGE; ATHEROSCLEROSIS RISK; RACIAL-DIFFERENCES; ESRD INCIDENCE; OUTCOMES; DISPARITIES; POVERTY; ASSOCIATION; RECIPIENTS;
D O I
10.1016/j.xkme.2021.03.008
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
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, 1.0 4-1.12), 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.
引用
收藏
页码:555 / +
页数:11
相关论文
共 50 条
  • [1] Neighborhood Socioeconomic Status and Identification of Patients With CKD Using Electronic Health Records
    Ghazi, Lama
    Oakes, J. Michael
    MacLehose, Richard F.
    Luepker, Russell, V
    Osypuk, Theresa L.
    Drawz, Paul E.
    AMERICAN JOURNAL OF KIDNEY DISEASES, 2021, 78 (01) : 57 - +
  • [2] Socioeconomic Status, Health Care, and Outcomes in Systemic Lupus Erythematosus
    DeQuattro, Kimberly
    Yelin, Edward
    RHEUMATIC DISEASE CLINICS OF NORTH AMERICA, 2020, 46 (04) : 639 - 649
  • [3] Health and Dental Insurance and Health Care Utilization Among Children, Adolescents, and Young Adults With CKD: Findings From the CKiD Cohort Study
    Molino, Andrea R.
    Minnick, Maria Lourdes G.
    Jerry-Fluker, Judith
    Muiru, Jacqueline Karita
    Boynton, Sara A.
    Furth, Susan L.
    Warady, Bradley A.
    Ng, Derek K.
    KIDNEY MEDICINE, 2022, 4 (05)
  • [4] Neighborhood Socioeconomic Status and Quality of Kidney Care: Data From Electronic Health Records
    Ghazi, Lama
    Osypuk, Theresa L.
    MacLehose, Richard F.
    V. Luepker, Russell
    Drawz, Paul E.
    KIDNEY MEDICINE, 2021, 3 (04) : 515 - +
  • [5] Distribution of Cardiovascular Health by Individual- and Neighborhood-Level Socioeconomic Status Findings From the Jackson Heart Study
    Foraker, Randi E.
    Bush, Christopher
    Greiner, Melissa A.
    Sims, Mario
    Henderson, Kamal
    Smith, Sakima
    Bidulescu, Aurelian
    Shoben, Abigail B.
    Hardy, N. Chantelle
    O'Brien, Emily
    GLOBAL HEART, 2019, 14 (03) : 241 - 250
  • [6] Racial and Socioeconomic Disparities in CKD in the Context of Universal Health Care Provided by the Military Health System
    Norton, Jenna M.
    Grunwald, Lindsay
    Banaag, Amanda
    Olsen, Cara
    Narva, Andrew S.
    Marks, Eric
    Koehlmoos, Tracey P.
    KIDNEY MEDICINE, 2022, 4 (01)
  • [7] CKD Prevalence in the Military Health System: Coded Versus Uncoded CKD
    Norton, Jenna M.
    Grunwald, Lindsay
    Banaag, Amanda
    Olsen, Cara
    Narva, Andrew S.
    Marks, Eric
    Koehlmoos, Tracey P.
    KIDNEY MEDICINE, 2021, 3 (04) : 586 - +
  • [8] Neighborhood socioeconomic status and postpartum depression among commercial health insurance enrollees: a retrospective cohort study
    Baser, Onur
    Isenman, Lauren
    Baser, Erdem
    Li, Wenjing
    Cigdem, Burhan
    BMC PREGNANCY AND CHILDBIRTH, 2024, 24 (01)
  • [9] Insurance Status, Health Equity, and the Cancer Care Continuum
    Halpern, Michael T.
    Brawley, Otis W.
    CANCER, 2016, 122 (20) : 3106 - 3109
  • [10] Socioeconomic status and prevalence of congenital heart defects: Does universal access to health care system eliminate the gap?
    Agha, Mohammad M.
    Glazier, Richard H.
    Moineddin, Rahim
    Moore, Aideen M.
    Guttmann, Astrid
    BIRTH DEFECTS RESEARCH PART A-CLINICAL AND MOLECULAR TERATOLOGY, 2011, 91 (12) : 1011 - 1018