Arnab Mukherji, Megha Rao, Sapna Desai, S V Subramanian, Gagandeep Kang, Vikram Patel
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UHC <i><sub>d</sub></i> is on a scale of 0% to 100%, with higher scores indicating better performance. We also assessed the degree of inequality within districts using a subset of 14 tracer indicators. The disadvantaged subgroups were based on four inequality dimensions: wealth quintile, urban-rural location, religion and social group.</p><p><strong>Findings: </strong>The median UHC <i><sub>d</sub></i> was 43.9% (range: 26.4 to 69.4). Substantial geographical differences existed, with districts in southern states having higher UHC <i><sub>d</sub></i> than elsewhere in India. Service coverage indicator levels were greater than 60%, except for noncommunicable diseases and for service capacity and access. Health insurance coverage was limited, with about 10% of the population facing catastrophic and impoverishing health expenditure. Substantial wealth-based disparities in UHC were seen within districts.</p><p><strong>Conclusion: </strong>Our study shows that UHC can be measured at the local level and can help national and subnational government develop prioritization frameworks by identifying health-care delivery and geographic hotspots where limited progress towards UHC is being made.</p>","PeriodicalId":9465,"journal":{"name":"Bulletin of the World Health Organization","volume":null,"pages":null},"PeriodicalIF":8.4000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11362688/pdf/","citationCount":"0","resultStr":"{\"title\":\"District-level monitoring of universal health coverage, India.\",\"authors\":\"Arnab Mukherji, Megha Rao, Sapna Desai, S V Subramanian, Gagandeep Kang, Vikram Patel\",\"doi\":\"10.2471/BLT.23.290854\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To develop a framework and index for measuring universal health coverage (UHC) at the district level in India and to assess progress towards UHC in the districts.</p><p><strong>Methods: </strong>We adapted the framework of the World Health Organization and World Bank to develop a district-level UHC index (UHC <i><sub>d</sub></i> ). We used routinely collected health survey and programme data in India to calculate UHC <i><sub>d</sub></i> for 687 districts from geometric means of 24 tracer indicators in five tracer domains: reproductive, maternal, newborn and child health; infectious diseases; noncommunicable diseases; service capacity and access; and financial risk protection. UHC <i><sub>d</sub></i> is on a scale of 0% to 100%, with higher scores indicating better performance. We also assessed the degree of inequality within districts using a subset of 14 tracer indicators. The disadvantaged subgroups were based on four inequality dimensions: wealth quintile, urban-rural location, religion and social group.</p><p><strong>Findings: </strong>The median UHC <i><sub>d</sub></i> was 43.9% (range: 26.4 to 69.4). Substantial geographical differences existed, with districts in southern states having higher UHC <i><sub>d</sub></i> than elsewhere in India. Service coverage indicator levels were greater than 60%, except for noncommunicable diseases and for service capacity and access. Health insurance coverage was limited, with about 10% of the population facing catastrophic and impoverishing health expenditure. Substantial wealth-based disparities in UHC were seen within districts.</p><p><strong>Conclusion: </strong>Our study shows that UHC can be measured at the local level and can help national and subnational government develop prioritization frameworks by identifying health-care delivery and geographic hotspots where limited progress towards UHC is being made.</p>\",\"PeriodicalId\":9465,\"journal\":{\"name\":\"Bulletin of the World Health Organization\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":8.4000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11362688/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bulletin of the World Health Organization\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2471/BLT.23.290854\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/6/25 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of the World Health Organization","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2471/BLT.23.290854","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/25 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
District-level monitoring of universal health coverage, India.
Objective: To develop a framework and index for measuring universal health coverage (UHC) at the district level in India and to assess progress towards UHC in the districts.
Methods: We adapted the framework of the World Health Organization and World Bank to develop a district-level UHC index (UHC d ). We used routinely collected health survey and programme data in India to calculate UHC d for 687 districts from geometric means of 24 tracer indicators in five tracer domains: reproductive, maternal, newborn and child health; infectious diseases; noncommunicable diseases; service capacity and access; and financial risk protection. UHC d is on a scale of 0% to 100%, with higher scores indicating better performance. We also assessed the degree of inequality within districts using a subset of 14 tracer indicators. The disadvantaged subgroups were based on four inequality dimensions: wealth quintile, urban-rural location, religion and social group.
Findings: The median UHC d was 43.9% (range: 26.4 to 69.4). Substantial geographical differences existed, with districts in southern states having higher UHC d than elsewhere in India. Service coverage indicator levels were greater than 60%, except for noncommunicable diseases and for service capacity and access. Health insurance coverage was limited, with about 10% of the population facing catastrophic and impoverishing health expenditure. Substantial wealth-based disparities in UHC were seen within districts.
Conclusion: Our study shows that UHC can be measured at the local level and can help national and subnational government develop prioritization frameworks by identifying health-care delivery and geographic hotspots where limited progress towards UHC is being made.
期刊介绍:
The Bulletin of the World Health Organization
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Leading public health journal
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Special focus on developing countries
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Provides blend of research, well-informed opinion, and news