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Health care utilization for patients with stroke: a 3-year cross-sectional study of China’s two urban health insurance schemes across four cities
BACKGROUND: Stroke is a devastating disease and a major cause of death and disability in China. While existing studies focused mainly on differences in stroke patients’ health care utilization by insurance type, this study assesses whether health utilization and medical costs differed by insurance t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7977157/ https://www.ncbi.nlm.nih.gov/pubmed/33736618 http://dx.doi.org/10.1186/s12889-021-10456-x |
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author | Yang, Yong Nicholas, Stephen Li, Shuo Huang, Zhengwei Chen, Xiaoping Ma, Yong Shi, Xuefeng |
author_facet | Yang, Yong Nicholas, Stephen Li, Shuo Huang, Zhengwei Chen, Xiaoping Ma, Yong Shi, Xuefeng |
author_sort | Yang, Yong |
collection | PubMed |
description | BACKGROUND: Stroke is a devastating disease and a major cause of death and disability in China. While existing studies focused mainly on differences in stroke patients’ health care utilization by insurance type, this study assesses whether health utilization and medical costs differed by insurance type across four cities in China. METHODS: A 5% random sample from the 2014–2016 China Urban Employees’ Basic Medical Insurance (UEBMI) and Urban Residents’ Basic Medical Insurance (URBMI) claims data were collected across four cities, Beijing, Shanghai, Tianjin, and Chongqing. Descriptive statistics and ordinary least squares regression were employed to analyze the data. RESULTS: We found that differences in healthcare utilization and inpatient and outpatient medical expenses varied more by city-specific insurance type than they did between the UEBMI and URBMI schemes. For example, the median UEBMI medical outpatient costs in Beijing (RMB500.2) were significantly higher than UEBMI patients in Shanghai (RMB260.8), Tianjin (RMB240.8), and Chongqing (RMB293.0), and Beijing URBMI patients had significantly higher outpatient medical costs (RMB356.9) than URBMI patients in Shanghai (RMB233.4) and Chongqing (RMB211.0), which were significantly higher than Tianjin (RMB156.2). Patients in Chongqing had 66.4% (95% CI: − 0.672, − 0.649) fewer outpatient visits, 13.0% (95% CI: − 0.144, − 0.115) fewer inpatient visits, and 34.2% (95% CI: − 0.366, − 0.318) shorter length of stay than patients in Beijing. The divergence of average length of stay and out-of-pocket (OOP) expenses by insurance type was also greater between cities than the UEMBI-URBMI mean difference. CONCLUSIONS: Significant city-specific differences in stroke patients’ healthcare utilization and medical costs reflected inequalities in health care access. The fragmented social health insurance schemes in China should be consolidated to provide patients in different cities equal financial protection and benefit packages and to improve the equity of stroke patient access to health care. |
format | Online Article Text |
id | pubmed-7977157 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79771572021-03-22 Health care utilization for patients with stroke: a 3-year cross-sectional study of China’s two urban health insurance schemes across four cities Yang, Yong Nicholas, Stephen Li, Shuo Huang, Zhengwei Chen, Xiaoping Ma, Yong Shi, Xuefeng BMC Public Health Research Article BACKGROUND: Stroke is a devastating disease and a major cause of death and disability in China. While existing studies focused mainly on differences in stroke patients’ health care utilization by insurance type, this study assesses whether health utilization and medical costs differed by insurance type across four cities in China. METHODS: A 5% random sample from the 2014–2016 China Urban Employees’ Basic Medical Insurance (UEBMI) and Urban Residents’ Basic Medical Insurance (URBMI) claims data were collected across four cities, Beijing, Shanghai, Tianjin, and Chongqing. Descriptive statistics and ordinary least squares regression were employed to analyze the data. RESULTS: We found that differences in healthcare utilization and inpatient and outpatient medical expenses varied more by city-specific insurance type than they did between the UEBMI and URBMI schemes. For example, the median UEBMI medical outpatient costs in Beijing (RMB500.2) were significantly higher than UEBMI patients in Shanghai (RMB260.8), Tianjin (RMB240.8), and Chongqing (RMB293.0), and Beijing URBMI patients had significantly higher outpatient medical costs (RMB356.9) than URBMI patients in Shanghai (RMB233.4) and Chongqing (RMB211.0), which were significantly higher than Tianjin (RMB156.2). Patients in Chongqing had 66.4% (95% CI: − 0.672, − 0.649) fewer outpatient visits, 13.0% (95% CI: − 0.144, − 0.115) fewer inpatient visits, and 34.2% (95% CI: − 0.366, − 0.318) shorter length of stay than patients in Beijing. The divergence of average length of stay and out-of-pocket (OOP) expenses by insurance type was also greater between cities than the UEMBI-URBMI mean difference. CONCLUSIONS: Significant city-specific differences in stroke patients’ healthcare utilization and medical costs reflected inequalities in health care access. The fragmented social health insurance schemes in China should be consolidated to provide patients in different cities equal financial protection and benefit packages and to improve the equity of stroke patient access to health care. BioMed Central 2021-03-18 /pmc/articles/PMC7977157/ /pubmed/33736618 http://dx.doi.org/10.1186/s12889-021-10456-x Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Article Yang, Yong Nicholas, Stephen Li, Shuo Huang, Zhengwei Chen, Xiaoping Ma, Yong Shi, Xuefeng Health care utilization for patients with stroke: a 3-year cross-sectional study of China’s two urban health insurance schemes across four cities |
title | Health care utilization for patients with stroke: a 3-year cross-sectional study of China’s two urban health insurance schemes across four cities |
title_full | Health care utilization for patients with stroke: a 3-year cross-sectional study of China’s two urban health insurance schemes across four cities |
title_fullStr | Health care utilization for patients with stroke: a 3-year cross-sectional study of China’s two urban health insurance schemes across four cities |
title_full_unstemmed | Health care utilization for patients with stroke: a 3-year cross-sectional study of China’s two urban health insurance schemes across four cities |
title_short | Health care utilization for patients with stroke: a 3-year cross-sectional study of China’s two urban health insurance schemes across four cities |
title_sort | health care utilization for patients with stroke: a 3-year cross-sectional study of china’s two urban health insurance schemes across four cities |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7977157/ https://www.ncbi.nlm.nih.gov/pubmed/33736618 http://dx.doi.org/10.1186/s12889-021-10456-x |
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