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Health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of China: a propensity score matching analysis
BACKGROUND: Since economic inequality is often accompanied by health inequalities, health care inequalities are increasingly becoming a hot issue on a global scale. As a developing country, China is still facing the same problems as other countries in the world. Especially in underdeveloped regions,...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6815066/ https://www.ncbi.nlm.nih.gov/pubmed/31653250 http://dx.doi.org/10.1186/s12889-019-7761-6 |
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author | Xian, Wei Xu, Xueying Li, Junling Sun, Jinbin Fu, Hezi Wu, Shaoning Liu, Hongbo |
author_facet | Xian, Wei Xu, Xueying Li, Junling Sun, Jinbin Fu, Hezi Wu, Shaoning Liu, Hongbo |
author_sort | Xian, Wei |
collection | PubMed |
description | BACKGROUND: Since economic inequality is often accompanied by health inequalities, health care inequalities are increasingly becoming a hot issue on a global scale. As a developing country, China is still facing the same problems as other countries in the world. Especially in underdeveloped regions, owing to the relatively backward economy, health care inequality may be more serious. The objective of this study was to explore health care inequality in a socioeconomically underdeveloped city, thus providing a certain theoretical basis for further development and reform of the medical insurance schemes. METHODS: We mainly extracted relevant insurance information of 628,952 insured enrollees, as well as consumption of outpatient visit and hospitalization. The propensity score matching had been used to estimate different urban medical insurance schemes effect on healthcare utilization, the choice of hospital types and healthcare cost. RESULTS: Insured enrollees spent most hospitalization expenses in tertiary-level hospitals, which had lowest hospitalization compensation ratios. Healthcare utilization and cost vary significantly by different insurance schemes. Urban employees had significantly higher outpatient visit rates in all hospital types than urban residents. Urban employees preferred to receive hospitalization treatment in tertiary-level hospitals, while those who receive hospitalization treatment in first-level hospitals are more likely to be enrolled in Urban Residents Basic Medical Insurance. Hospitalization expenses and hospitalization compensation ratios of urban employees were also significantly higher than urban residents in all hospital types. CONCLUSIONS: Health care inequality is mainly reflected in the imbalance between hospitalization expenses and hospitalization compensation ratios, as well as inequalities under different medical insurance schemes in healthcare utilization, the choice of hospital types and healthcare cost in socioeconomically underdeveloped regions of China. We should conduct a targeted medical insurance reform for the socioeconomically underdeveloped regions, rather than applying templates of ordinary regions. Further efforts are needed in the future to provide equal health care for every patient. |
format | Online Article Text |
id | pubmed-6815066 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68150662019-10-31 Health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of China: a propensity score matching analysis Xian, Wei Xu, Xueying Li, Junling Sun, Jinbin Fu, Hezi Wu, Shaoning Liu, Hongbo BMC Public Health Research Article BACKGROUND: Since economic inequality is often accompanied by health inequalities, health care inequalities are increasingly becoming a hot issue on a global scale. As a developing country, China is still facing the same problems as other countries in the world. Especially in underdeveloped regions, owing to the relatively backward economy, health care inequality may be more serious. The objective of this study was to explore health care inequality in a socioeconomically underdeveloped city, thus providing a certain theoretical basis for further development and reform of the medical insurance schemes. METHODS: We mainly extracted relevant insurance information of 628,952 insured enrollees, as well as consumption of outpatient visit and hospitalization. The propensity score matching had been used to estimate different urban medical insurance schemes effect on healthcare utilization, the choice of hospital types and healthcare cost. RESULTS: Insured enrollees spent most hospitalization expenses in tertiary-level hospitals, which had lowest hospitalization compensation ratios. Healthcare utilization and cost vary significantly by different insurance schemes. Urban employees had significantly higher outpatient visit rates in all hospital types than urban residents. Urban employees preferred to receive hospitalization treatment in tertiary-level hospitals, while those who receive hospitalization treatment in first-level hospitals are more likely to be enrolled in Urban Residents Basic Medical Insurance. Hospitalization expenses and hospitalization compensation ratios of urban employees were also significantly higher than urban residents in all hospital types. CONCLUSIONS: Health care inequality is mainly reflected in the imbalance between hospitalization expenses and hospitalization compensation ratios, as well as inequalities under different medical insurance schemes in healthcare utilization, the choice of hospital types and healthcare cost in socioeconomically underdeveloped regions of China. We should conduct a targeted medical insurance reform for the socioeconomically underdeveloped regions, rather than applying templates of ordinary regions. Further efforts are needed in the future to provide equal health care for every patient. BioMed Central 2019-10-25 /pmc/articles/PMC6815066/ /pubmed/31653250 http://dx.doi.org/10.1186/s12889-019-7761-6 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Xian, Wei Xu, Xueying Li, Junling Sun, Jinbin Fu, Hezi Wu, Shaoning Liu, Hongbo Health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of China: a propensity score matching analysis |
title | Health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of China: a propensity score matching analysis |
title_full | Health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of China: a propensity score matching analysis |
title_fullStr | Health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of China: a propensity score matching analysis |
title_full_unstemmed | Health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of China: a propensity score matching analysis |
title_short | Health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of China: a propensity score matching analysis |
title_sort | health care inequality under different medical insurance schemes in a socioeconomically underdeveloped region of china: a propensity score matching analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6815066/ https://www.ncbi.nlm.nih.gov/pubmed/31653250 http://dx.doi.org/10.1186/s12889-019-7761-6 |
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