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Medical expenditure and its inequity for people with disabilities: Evidence from the CHARLS 2018 data

INTRODUCTION: Disabilities may raise heavy medical expenses and rich-poor inequalities. However, data is lacking for the Chinese older populations. This study aimed to measure socioeconomic inequalities in medical expenses amongst the Chinese adult 45 years or older, and explored the main determinan...

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Autores principales: Jin, Shengxuan, Sun, Ying, Tao, Jun, Tian, Lanlan, Lin, Jiawei, Qian, Dongfu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558895/
https://www.ncbi.nlm.nih.gov/pubmed/36249237
http://dx.doi.org/10.3389/fpubh.2022.977150
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author Jin, Shengxuan
Sun, Ying
Tao, Jun
Tian, Lanlan
Lin, Jiawei
Qian, Dongfu
author_facet Jin, Shengxuan
Sun, Ying
Tao, Jun
Tian, Lanlan
Lin, Jiawei
Qian, Dongfu
author_sort Jin, Shengxuan
collection PubMed
description INTRODUCTION: Disabilities may raise heavy medical expenses and rich-poor inequalities. However, data is lacking for the Chinese older populations. This study aimed to measure socioeconomic inequalities in medical expenses amongst the Chinese adult 45 years or older, and explored the main determinants among different disability categories. METHOD: Data from the 2018 China Health and Retirement Longitudinal Study (CHARLS) were used. Disabilities were divided into five categories: physical disabilities, intellectual disability, vision problems, hearing problems, and multiple disabilities. The two-part model was employed to identify the factors that are associated with medical expenditures. Socioeconomic inequalities were measured by the concentration index (CI), and the horizontal inequity index (HI) which adjusts for health needs. Decomposition analysis was further applied to evaluate the contribution of each determinant. RESULTS: Two thousand four hundred nineteen people were included in this study. The CIs and HIs of the expenditure were both positive. Amongst the varied types of medical expenses, the highest CIs were found for self-treatment expenses (0.0262). Amongst the five categories of disabilities, the group with vision problem disability reported the highest CIs and HIs for outpatient expenses (CI = 0.0843, HI = 0.0751), self-treatment expenses (CI = 0.0958, HI = 0.1119), and total expenses (CI = 0.0622, HI = 0.0541). The group of intellectual disability reported the highest CI and HI (CI = 0.0707, HI = 0.0625). The decomposition analysis showed that income (80.32%), education (25.14%) and living in the rural areas (13.96%) were the main determinants of medical expenses for HI amongst all types of disabilities. CONCLUSION: For five types of disabilities, our data shows that medical expenses concentrated in the richer groups in China. Income, education, and rural areas factors were the main contributors to the economic-related inequalities. Health policies to improve the affordability of medical care are needed to decrease inequity of medical expenditures for people with disabilities.
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spelling pubmed-95588952022-10-14 Medical expenditure and its inequity for people with disabilities: Evidence from the CHARLS 2018 data Jin, Shengxuan Sun, Ying Tao, Jun Tian, Lanlan Lin, Jiawei Qian, Dongfu Front Public Health Public Health INTRODUCTION: Disabilities may raise heavy medical expenses and rich-poor inequalities. However, data is lacking for the Chinese older populations. This study aimed to measure socioeconomic inequalities in medical expenses amongst the Chinese adult 45 years or older, and explored the main determinants among different disability categories. METHOD: Data from the 2018 China Health and Retirement Longitudinal Study (CHARLS) were used. Disabilities were divided into five categories: physical disabilities, intellectual disability, vision problems, hearing problems, and multiple disabilities. The two-part model was employed to identify the factors that are associated with medical expenditures. Socioeconomic inequalities were measured by the concentration index (CI), and the horizontal inequity index (HI) which adjusts for health needs. Decomposition analysis was further applied to evaluate the contribution of each determinant. RESULTS: Two thousand four hundred nineteen people were included in this study. The CIs and HIs of the expenditure were both positive. Amongst the varied types of medical expenses, the highest CIs were found for self-treatment expenses (0.0262). Amongst the five categories of disabilities, the group with vision problem disability reported the highest CIs and HIs for outpatient expenses (CI = 0.0843, HI = 0.0751), self-treatment expenses (CI = 0.0958, HI = 0.1119), and total expenses (CI = 0.0622, HI = 0.0541). The group of intellectual disability reported the highest CI and HI (CI = 0.0707, HI = 0.0625). The decomposition analysis showed that income (80.32%), education (25.14%) and living in the rural areas (13.96%) were the main determinants of medical expenses for HI amongst all types of disabilities. CONCLUSION: For five types of disabilities, our data shows that medical expenses concentrated in the richer groups in China. Income, education, and rural areas factors were the main contributors to the economic-related inequalities. Health policies to improve the affordability of medical care are needed to decrease inequity of medical expenditures for people with disabilities. Frontiers Media S.A. 2022-09-29 /pmc/articles/PMC9558895/ /pubmed/36249237 http://dx.doi.org/10.3389/fpubh.2022.977150 Text en Copyright © 2022 Jin, Sun, Tao, Tian, Lin and Qian. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Jin, Shengxuan
Sun, Ying
Tao, Jun
Tian, Lanlan
Lin, Jiawei
Qian, Dongfu
Medical expenditure and its inequity for people with disabilities: Evidence from the CHARLS 2018 data
title Medical expenditure and its inequity for people with disabilities: Evidence from the CHARLS 2018 data
title_full Medical expenditure and its inequity for people with disabilities: Evidence from the CHARLS 2018 data
title_fullStr Medical expenditure and its inequity for people with disabilities: Evidence from the CHARLS 2018 data
title_full_unstemmed Medical expenditure and its inequity for people with disabilities: Evidence from the CHARLS 2018 data
title_short Medical expenditure and its inequity for people with disabilities: Evidence from the CHARLS 2018 data
title_sort medical expenditure and its inequity for people with disabilities: evidence from the charls 2018 data
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9558895/
https://www.ncbi.nlm.nih.gov/pubmed/36249237
http://dx.doi.org/10.3389/fpubh.2022.977150
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