Literature DB >> 30430571

Do racial and ethnic disparities in health care use vary with health?

Adam I Biener1, Samuel H Zuvekas2.   

Abstract

OBJECTIVE: To determine the relationship between health status and the magnitude of black-white and Hispanic-white disparities in the likelihood of having any office-based or hospital outpatient department visits, as well as number of visits. DATA SOURCE: 2010-2014 Medical Expenditure Panel Survey. STUDY
DESIGN: The probability of having a visit is modeled using a Probit model, and the number of visits using a negative binomial model. We use a nonlinear rank-and-replace method to adjust minority health status to be comparable to that of whites, and predict utilization at different levels of health by fixing an indicator of health status. We compare estimated differences in predicted utilization across racial/ethnic groups for each level of health status to map out the relationship between the racial/ethnic disparity and health status, also stratifying by health insurance coverage. EXTRACTION
METHODS: We subset to nonelderly adults. PRINCIPAL
FINDINGS: We find that Hispanic-white differences in the probability of having an office-based or hospital outpatient department were widest among adults in excellent health (27 percentage points, 95% CI: [23, 31]) and narrowest when reporting poor or fair health (15 p.p. [13, 17]). Black-white and Hispanic-white differences in the number of visits were wider for adults who report poor or fair health (5.3 visits [4.0, 6.6] and 5.7 [4.3, 7.0], respectively) compared to excellent health (1.7 [1.2, 2.1] and 1.5 [1.1, 2.0], respectively) among adults who are full-year privately insured.
CONCLUSIONS: The magnitudes of racial/ethnic disparities vary with level of health. Published 2018. This article is a U.S. Government work and is in the public domain in the USA.

Entities:  

Keywords:  health care utilization; perceived health; racial and ethnic disparities

Mesh:

Year:  2018        PMID: 30430571      PMCID: PMC6338306          DOI: 10.1111/1475-6773.13087

Source DB:  PubMed          Journal:  Health Serv Res        ISSN: 0017-9124            Impact factor:   3.402


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