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Inequity in Health Services Utilization in Economically Underdeveloped Regions of Northeast China

BACKGROUND: The Chinese health system has long been committed to eliminating inequalities in health services utilization. However, few studies have analyzed or measured these inequalities in economically underdeveloped regions in China. METHODS: A total of 6,627 respondents from 3,000 households in...

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Autores principales: Zhang, Xin, Ning, Ning, Zhou, Hongguo, Shan, Linghan, Hao, Yanhua, Jiao, Mingli, Liang, Libo, Kang, Zheng, Li, Ye, Liu, Huan, Liu, Baohua, Wang, Kexin, Ruzieva, Adelina, Gao, Lijun, Wu, Qunhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051237/
https://www.ncbi.nlm.nih.gov/pubmed/35493377
http://dx.doi.org/10.3389/fpubh.2022.850157
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author Zhang, Xin
Ning, Ning
Zhou, Hongguo
Shan, Linghan
Hao, Yanhua
Jiao, Mingli
Liang, Libo
Kang, Zheng
Li, Ye
Liu, Huan
Liu, Baohua
Wang, Kexin
Ruzieva, Adelina
Gao, Lijun
Wu, Qunhong
author_facet Zhang, Xin
Ning, Ning
Zhou, Hongguo
Shan, Linghan
Hao, Yanhua
Jiao, Mingli
Liang, Libo
Kang, Zheng
Li, Ye
Liu, Huan
Liu, Baohua
Wang, Kexin
Ruzieva, Adelina
Gao, Lijun
Wu, Qunhong
author_sort Zhang, Xin
collection PubMed
description BACKGROUND: The Chinese health system has long been committed to eliminating inequalities in health services utilization. However, few studies have analyzed or measured these inequalities in economically underdeveloped regions in China. METHODS: A total of 6,627 respondents from 3,000 households in Heilongjiang Province were extracted from the Sixth National Health Services Survey. We measured horizontal inequity in both 2-week outpatient rate and annual inpatient rate, and then identified the factors contributing to inequality. RESULTS: The horizontal inequity indices of the 2-week outpatient and annual impatient rates in Heilongjiang Province were 0.0586 and 0.1276, respectively. Household income, health status, place of residence, basic medical insurance, and commercial health insurance were found to be the main factors affecting inequality in health services utilization. The contributions of household income to these two indices were 184.03 and 253.47%, respectively. Health status factors, including suffering from chronic disease, limitations in daily activities, and poor self-rated health, played positive roles in reducing inequality in these two indices. The contributions of place of residence to these two indices were 27.21 and −28.45%, respectively. Urban Employee Basic Medical Insurance made a pro-rich contribution to these two indices: 56.25 and 81.48%, respectively. Urban and Rural Resident Basic Medical Insurance, Urban Resident Basic Medical Insurance, New Rural Cooperative Medical Scheme, and other basic medical insurance made a pro-poor contribution to these two indices: −73.51 and −54.87%, respectively. Commercial health insurance made a pro-rich contribution to these two indices: 20.79 and 7.40%, respectively. Meanwhile, critical illness insurance made a slightly pro-poor contribution to these two indices: −4.60 and −0.90%, respectively. CONCLUSIONS: The findings showed that the “equal treatment in equal need” principle was not met in the health services utilization context in Heilongjiang Province. To address this issue, the government could make policy changes to protect low-income populations from underused health services, and work to improve basic medical insurance, critical illness insurance, and social security systems.
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spelling pubmed-90512372022-04-30 Inequity in Health Services Utilization in Economically Underdeveloped Regions of Northeast China Zhang, Xin Ning, Ning Zhou, Hongguo Shan, Linghan Hao, Yanhua Jiao, Mingli Liang, Libo Kang, Zheng Li, Ye Liu, Huan Liu, Baohua Wang, Kexin Ruzieva, Adelina Gao, Lijun Wu, Qunhong Front Public Health Public Health BACKGROUND: The Chinese health system has long been committed to eliminating inequalities in health services utilization. However, few studies have analyzed or measured these inequalities in economically underdeveloped regions in China. METHODS: A total of 6,627 respondents from 3,000 households in Heilongjiang Province were extracted from the Sixth National Health Services Survey. We measured horizontal inequity in both 2-week outpatient rate and annual inpatient rate, and then identified the factors contributing to inequality. RESULTS: The horizontal inequity indices of the 2-week outpatient and annual impatient rates in Heilongjiang Province were 0.0586 and 0.1276, respectively. Household income, health status, place of residence, basic medical insurance, and commercial health insurance were found to be the main factors affecting inequality in health services utilization. The contributions of household income to these two indices were 184.03 and 253.47%, respectively. Health status factors, including suffering from chronic disease, limitations in daily activities, and poor self-rated health, played positive roles in reducing inequality in these two indices. The contributions of place of residence to these two indices were 27.21 and −28.45%, respectively. Urban Employee Basic Medical Insurance made a pro-rich contribution to these two indices: 56.25 and 81.48%, respectively. Urban and Rural Resident Basic Medical Insurance, Urban Resident Basic Medical Insurance, New Rural Cooperative Medical Scheme, and other basic medical insurance made a pro-poor contribution to these two indices: −73.51 and −54.87%, respectively. Commercial health insurance made a pro-rich contribution to these two indices: 20.79 and 7.40%, respectively. Meanwhile, critical illness insurance made a slightly pro-poor contribution to these two indices: −4.60 and −0.90%, respectively. CONCLUSIONS: The findings showed that the “equal treatment in equal need” principle was not met in the health services utilization context in Heilongjiang Province. To address this issue, the government could make policy changes to protect low-income populations from underused health services, and work to improve basic medical insurance, critical illness insurance, and social security systems. Frontiers Media S.A. 2022-04-15 /pmc/articles/PMC9051237/ /pubmed/35493377 http://dx.doi.org/10.3389/fpubh.2022.850157 Text en Copyright © 2022 Zhang, Ning, Zhou, Shan, Hao, Jiao, Liang, Kang, Li, Liu, Liu, Wang, Ruzieva, Gao and Wu. 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
Zhang, Xin
Ning, Ning
Zhou, Hongguo
Shan, Linghan
Hao, Yanhua
Jiao, Mingli
Liang, Libo
Kang, Zheng
Li, Ye
Liu, Huan
Liu, Baohua
Wang, Kexin
Ruzieva, Adelina
Gao, Lijun
Wu, Qunhong
Inequity in Health Services Utilization in Economically Underdeveloped Regions of Northeast China
title Inequity in Health Services Utilization in Economically Underdeveloped Regions of Northeast China
title_full Inequity in Health Services Utilization in Economically Underdeveloped Regions of Northeast China
title_fullStr Inequity in Health Services Utilization in Economically Underdeveloped Regions of Northeast China
title_full_unstemmed Inequity in Health Services Utilization in Economically Underdeveloped Regions of Northeast China
title_short Inequity in Health Services Utilization in Economically Underdeveloped Regions of Northeast China
title_sort inequity in health services utilization in economically underdeveloped regions of northeast china
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9051237/
https://www.ncbi.nlm.nih.gov/pubmed/35493377
http://dx.doi.org/10.3389/fpubh.2022.850157
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