Provincial inequality of China's progress towards universal health coverage: An empirical analysis in 2016-21
Achieving universal health coverage (UHC) is a crucial target shared by the Sustainable Development Goals (SDGs). As UHC levels are influenced by factors such as the regional economy and resource allocation, subnational evidence in China is urgently needed. This study aimed to monitor provincial pro...
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description | Achieving universal health coverage (UHC) is a crucial target shared by the Sustainable Development Goals (SDGs). As UHC levels are influenced by factors such as the regional economy and resource allocation, subnational evidence in China is urgently needed. This study aimed to monitor provincial progress from 2016 to 2021, thereby informing the development of region-specific strategies.
Based on the UHC monitoring framework proposed by the World Health Organization, a UHC index was constructed comprising the service coverage dimension (16 indicators) and financial protection dimension (four indicators). In this observational study, routinely collected health data from 25 provinces (autonomous regions and municipalities) in mainland China were obtained from statistical yearbooks, relevant literature, and nationally representative surveys. The indices were calculated using geometric means. Socioeconomic inequalities among provinces were quantified using the slope index of inequality (SII) and relative index of inequality (RII).
From 2016 to 2021, China made laudable progress towards achieving UHC, with the index rising from 56.94 in 2016 to 63.03 in 2021. Most provinces demonstrated better performance in service coverage. Western provinces generally presented faster rates of progress, which were attributed to more substantial increases in financial protection. Despite significant disparities, with the UHC index ranging from 77.94 in Shanghai to 54.61 in Fujian in 2021, the overall equity of UHC has improved across the 25 provinces. SII decreased from 17.78 (95% confidence interval (CI) = 11.64, 23.93) to 12.25 (95% CI = 5.86, 18.63) and RII from 1.38 (95% CI = 1.29, 1.46) to 1.22 (95% CI = 1.16, 1.29). However, the non-communicable disease (NCD) domain experienced a drop in both index score and equity, underscoring the need for prioritised attention.
In the context of SDGs and the 'Healthy China 2030' initiative, China has made commendable progress towards UHC, and inter-provincial equity has improved. However, substantial differences persisted. The equitable realisation of UHC necessitates prioritising the enhancement of service capacity and financial protection in less developed regions, particularly by addressing shortages in the general practitioner workforce and mitigating catastrophic payments. Developed regions should focus on preventing NCDs through effective interventions targeting key risk factors. This study provides insights for other countries t |
doi_str_mv | 10.7189/jogh.14.04122 |
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Based on the UHC monitoring framework proposed by the World Health Organization, a UHC index was constructed comprising the service coverage dimension (16 indicators) and financial protection dimension (four indicators). In this observational study, routinely collected health data from 25 provinces (autonomous regions and municipalities) in mainland China were obtained from statistical yearbooks, relevant literature, and nationally representative surveys. The indices were calculated using geometric means. Socioeconomic inequalities among provinces were quantified using the slope index of inequality (SII) and relative index of inequality (RII).
From 2016 to 2021, China made laudable progress towards achieving UHC, with the index rising from 56.94 in 2016 to 63.03 in 2021. Most provinces demonstrated better performance in service coverage. Western provinces generally presented faster rates of progress, which were attributed to more substantial increases in financial protection. Despite significant disparities, with the UHC index ranging from 77.94 in Shanghai to 54.61 in Fujian in 2021, the overall equity of UHC has improved across the 25 provinces. SII decreased from 17.78 (95% confidence interval (CI) = 11.64, 23.93) to 12.25 (95% CI = 5.86, 18.63) and RII from 1.38 (95% CI = 1.29, 1.46) to 1.22 (95% CI = 1.16, 1.29). However, the non-communicable disease (NCD) domain experienced a drop in both index score and equity, underscoring the need for prioritised attention.
In the context of SDGs and the 'Healthy China 2030' initiative, China has made commendable progress towards UHC, and inter-provincial equity has improved. However, substantial differences persisted. The equitable realisation of UHC necessitates prioritising the enhancement of service capacity and financial protection in less developed regions, particularly by addressing shortages in the general practitioner workforce and mitigating catastrophic payments. Developed regions should focus on preventing NCDs through effective interventions targeting key risk factors. This study provides insights for other countries to adopt comprehensive monitoring frameworks, identify subnational disparities, and introduce targeted policy initiatives.</description><identifier>ISSN: 2047-2978</identifier><identifier>ISSN: 2047-2986</identifier><identifier>EISSN: 2047-2986</identifier><identifier>DOI: 10.7189/jogh.14.04122</identifier><identifier>PMID: 38939928</identifier><language>eng</language><publisher>Scotland: Edinburgh University Global Health Society</publisher><subject>Acquired immune deficiency syndrome ; AIDS ; China ; Health care policy ; Healthcare Disparities ; Humans ; Infectious diseases ; Insurance coverage ; Observational studies ; Resource allocation ; Risk factors ; Socioeconomic Factors ; Sustainable Development ; Tuberculosis ; Universal Health Insurance - statistics & numerical data</subject><ispartof>Journal of global health, 2024-06, Vol.14, p.04122, Article 04122</ispartof><rights>Copyright © 2024 by the Journal of Global Health. All rights reserved.</rights><rights>Copyright © 2024 by the Journal of Global Health. All rights reserved. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c246t-4e12352d3129641d0b0c534a8c78b13a10bbb2030875f82c0fa62e51ce4334503</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,865,27926,27927</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38939928$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Yining</creatorcontrib><creatorcontrib>Wang, Ruixin</creatorcontrib><creatorcontrib>Jiang, Mingzhu</creatorcontrib><creatorcontrib>Ying, Xiaohua</creatorcontrib><title>Provincial inequality of China's progress towards universal health coverage: An empirical analysis in 2016-21</title><title>Journal of global health</title><addtitle>J Glob Health</addtitle><description>Achieving universal health coverage (UHC) is a crucial target shared by the Sustainable Development Goals (SDGs). As UHC levels are influenced by factors such as the regional economy and resource allocation, subnational evidence in China is urgently needed. This study aimed to monitor provincial progress from 2016 to 2021, thereby informing the development of region-specific strategies.
Based on the UHC monitoring framework proposed by the World Health Organization, a UHC index was constructed comprising the service coverage dimension (16 indicators) and financial protection dimension (four indicators). In this observational study, routinely collected health data from 25 provinces (autonomous regions and municipalities) in mainland China were obtained from statistical yearbooks, relevant literature, and nationally representative surveys. The indices were calculated using geometric means. Socioeconomic inequalities among provinces were quantified using the slope index of inequality (SII) and relative index of inequality (RII).
From 2016 to 2021, China made laudable progress towards achieving UHC, with the index rising from 56.94 in 2016 to 63.03 in 2021. Most provinces demonstrated better performance in service coverage. Western provinces generally presented faster rates of progress, which were attributed to more substantial increases in financial protection. Despite significant disparities, with the UHC index ranging from 77.94 in Shanghai to 54.61 in Fujian in 2021, the overall equity of UHC has improved across the 25 provinces. SII decreased from 17.78 (95% confidence interval (CI) = 11.64, 23.93) to 12.25 (95% CI = 5.86, 18.63) and RII from 1.38 (95% CI = 1.29, 1.46) to 1.22 (95% CI = 1.16, 1.29). However, the non-communicable disease (NCD) domain experienced a drop in both index score and equity, underscoring the need for prioritised attention.
In the context of SDGs and the 'Healthy China 2030' initiative, China has made commendable progress towards UHC, and inter-provincial equity has improved. However, substantial differences persisted. The equitable realisation of UHC necessitates prioritising the enhancement of service capacity and financial protection in less developed regions, particularly by addressing shortages in the general practitioner workforce and mitigating catastrophic payments. Developed regions should focus on preventing NCDs through effective interventions targeting key risk factors. This study provides insights for other countries to adopt comprehensive monitoring frameworks, identify subnational disparities, and introduce targeted policy initiatives.</description><subject>Acquired immune deficiency syndrome</subject><subject>AIDS</subject><subject>China</subject><subject>Health care policy</subject><subject>Healthcare Disparities</subject><subject>Humans</subject><subject>Infectious diseases</subject><subject>Insurance coverage</subject><subject>Observational studies</subject><subject>Resource allocation</subject><subject>Risk factors</subject><subject>Socioeconomic Factors</subject><subject>Sustainable Development</subject><subject>Tuberculosis</subject><subject>Universal Health Insurance - statistics & numerical data</subject><issn>2047-2978</issn><issn>2047-2986</issn><issn>2047-2986</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkU1PwzAMhiMEYtPYkSuKxAEuHXGStik3NPElTYIDnKs0TbdMbbMl7dD-PdkHO-CLbfnxK8svQtdAJimI7GFp54sJ8AnhQOkZGlLC04hmIjk_1akYoLH3SxIiBUZFcokGTGQsy6gYoubT2Y1plZE1Nq1e97I23RbbCk8XppV3Hq-cnTvtPe7sj3Slx31rNtr5sLDQsu4WWNnQy7l-xE8t1s3KOKPCVLay3nrjgy6mBJKIwhW6qGTt9fiYR-j75flr-hbNPl7fp0-zSFGedBHXQFlMSwY0SziUpCAqZlwKlYoCmARSFAUljIg0rgRVpJIJ1TEozRnjMWEjdH_QDceve-27vDFe6bqWrba9zxlJGWU8AxHQ23_o0vYunL6nOIlTwSFQ0YFSznrvdJWvnGmk2-ZA8p0V-c6KHHi-tyLwN0fVvmh0eaL_Hs9-Abw1gr0</recordid><startdate>20240628</startdate><enddate>20240628</enddate><creator>Wang, Yining</creator><creator>Wang, Ruixin</creator><creator>Jiang, Mingzhu</creator><creator>Ying, Xiaohua</creator><general>Edinburgh University Global Health Society</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>EHMNL</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope></search><sort><creationdate>20240628</creationdate><title>Provincial inequality of China's progress towards universal health coverage: An empirical analysis in 2016-21</title><author>Wang, Yining ; Wang, Ruixin ; Jiang, Mingzhu ; Ying, Xiaohua</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c246t-4e12352d3129641d0b0c534a8c78b13a10bbb2030875f82c0fa62e51ce4334503</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Acquired immune deficiency syndrome</topic><topic>AIDS</topic><topic>China</topic><topic>Health care policy</topic><topic>Healthcare Disparities</topic><topic>Humans</topic><topic>Infectious diseases</topic><topic>Insurance coverage</topic><topic>Observational studies</topic><topic>Resource allocation</topic><topic>Risk factors</topic><topic>Socioeconomic Factors</topic><topic>Sustainable Development</topic><topic>Tuberculosis</topic><topic>Universal Health Insurance - statistics & numerical data</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Yining</creatorcontrib><creatorcontrib>Wang, Ruixin</creatorcontrib><creatorcontrib>Jiang, Mingzhu</creatorcontrib><creatorcontrib>Ying, Xiaohua</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>UK & Ireland Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of global health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Yining</au><au>Wang, Ruixin</au><au>Jiang, Mingzhu</au><au>Ying, Xiaohua</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Provincial inequality of China's progress towards universal health coverage: An empirical analysis in 2016-21</atitle><jtitle>Journal of global health</jtitle><addtitle>J Glob Health</addtitle><date>2024-06-28</date><risdate>2024</risdate><volume>14</volume><spage>04122</spage><pages>04122-</pages><artnum>04122</artnum><issn>2047-2978</issn><issn>2047-2986</issn><eissn>2047-2986</eissn><abstract>Achieving universal health coverage (UHC) is a crucial target shared by the Sustainable Development Goals (SDGs). As UHC levels are influenced by factors such as the regional economy and resource allocation, subnational evidence in China is urgently needed. This study aimed to monitor provincial progress from 2016 to 2021, thereby informing the development of region-specific strategies.
Based on the UHC monitoring framework proposed by the World Health Organization, a UHC index was constructed comprising the service coverage dimension (16 indicators) and financial protection dimension (four indicators). In this observational study, routinely collected health data from 25 provinces (autonomous regions and municipalities) in mainland China were obtained from statistical yearbooks, relevant literature, and nationally representative surveys. The indices were calculated using geometric means. Socioeconomic inequalities among provinces were quantified using the slope index of inequality (SII) and relative index of inequality (RII).
From 2016 to 2021, China made laudable progress towards achieving UHC, with the index rising from 56.94 in 2016 to 63.03 in 2021. Most provinces demonstrated better performance in service coverage. Western provinces generally presented faster rates of progress, which were attributed to more substantial increases in financial protection. Despite significant disparities, with the UHC index ranging from 77.94 in Shanghai to 54.61 in Fujian in 2021, the overall equity of UHC has improved across the 25 provinces. SII decreased from 17.78 (95% confidence interval (CI) = 11.64, 23.93) to 12.25 (95% CI = 5.86, 18.63) and RII from 1.38 (95% CI = 1.29, 1.46) to 1.22 (95% CI = 1.16, 1.29). However, the non-communicable disease (NCD) domain experienced a drop in both index score and equity, underscoring the need for prioritised attention.
In the context of SDGs and the 'Healthy China 2030' initiative, China has made commendable progress towards UHC, and inter-provincial equity has improved. However, substantial differences persisted. The equitable realisation of UHC necessitates prioritising the enhancement of service capacity and financial protection in less developed regions, particularly by addressing shortages in the general practitioner workforce and mitigating catastrophic payments. Developed regions should focus on preventing NCDs through effective interventions targeting key risk factors. This study provides insights for other countries to adopt comprehensive monitoring frameworks, identify subnational disparities, and introduce targeted policy initiatives.</abstract><cop>Scotland</cop><pub>Edinburgh University Global Health Society</pub><pmid>38939928</pmid><doi>10.7189/jogh.14.04122</doi><oa>free_for_read</oa></addata></record> |
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subjects | Acquired immune deficiency syndrome AIDS China Health care policy Healthcare Disparities Humans Infectious diseases Insurance coverage Observational studies Resource allocation Risk factors Socioeconomic Factors Sustainable Development Tuberculosis Universal Health Insurance - statistics & numerical data |
title | Provincial inequality of China's progress towards universal health coverage: An empirical analysis in 2016-21 |
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