A transparent universal health coverage index with decomposition by socioeconomic groups: Application in Asian and African settings
This article was published in the Applied Health Economics and Health Policy [© Springer Nature Switzerland AG 2019] and the definite version is available at: http://dx.doi.org/10.1007/s40258-019-00464-9 The Journal's website is at: https://link.springer.com/article/10.1007/s40258-019-00464-9#c...
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10361-164662022-03-22T05:29:36Z A transparent universal health coverage index with decomposition by socioeconomic groups: Application in Asian and African settings Khan, Jahangir A. M. Ahmed, Sayem Chen, Tao Tomeny, Ewan M. Niessen, Louis W. Brac James P. Grant School of Public Health Universal Health Coverage Index Decomposition This article was published in the Applied Health Economics and Health Policy [© Springer Nature Switzerland AG 2019] and the definite version is available at: http://dx.doi.org/10.1007/s40258-019-00464-9 The Journal's website is at: https://link.springer.com/article/10.1007/s40258-019-00464-9#citeas Background Health and wellbeing as one of the Sustainable Development Goals requires all countries to achieve Universal Health Coverage (UHC). That is, all people must have access to healthcare when needed at an affordable price. While several indices were developed recently to assess UHC status, these indices appeared to be difficult for practitioners to apply without statistical knowledge. Objective This paper presents a transparent and step-by-step practical calculation method of such an index using Excel spreadsheets, applied to some Asian and African countries. We also decompose the contribution of socioeconomic groups to UHC index values. Methods We utilized the well known UHC illustration (three-dimensional box, showing population coverage, service coverage and financial protection) to calculate the UHC index. We also broke down the index into socioeconomic groups. For validation, correlation coefficients between our index and other UHC indices were calculated and the relationship of our index with out-of-pocket (OOP) payments was estimated. Results World Bank data from six Asian and 15 African countries on health-service coverage of people in five socioeconomic quintiles with financial protection were used to calculate our UHC index. Among the Asian countries, indices ranged between 26.0% (Nepal) and 58.7% (Kazakhstan), while in African countries indices ranged between 8.9% (Chad) and 55.3% (Namibia). Decomposition of the UHC index showed a higher contribution to the index by richer socioeconomic groups. The correlation coefficients between our estimated UHC index values and those of others ranged between 0.774 and 0.900. Our index reduced by 1.4% in response to a 1% increase in OOP payments. Conclusions This spreadsheet approach for calculating the UHC index appeared to be useful, where the interrelation of UHC dimensions was easily observed. Decomposition of the index could be useful for policy-makers to identify the subpopulations and health services with need for further interventions towards UHC achievement. Published 2022-03-16T08:45:50Z 2022-03-16T08:45:50Z 2019 2019-02-16 Journal Article Khan, J. A. M., Ahmed, S., Chen, T., Tomeny, E. M., & Niessen, L. W. (2019). A transparent universal health coverage index with decomposition by socioeconomic groups: Application in Asian and African settings. Applied Health Economics and Health Policy, doi:10.1007/s40258-019-00464-9 http://hdl.handle.net/10361/16466 https://doi.org/10.1007/s40258-019-00464-9 en_US https://link.springer.com/article/10.1007/s40258-019-00464-9#citeas Applied Health Economics and Health Policy application/pdf Springer Nature |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
en_US |
| topic |
Universal Health Coverage Index Decomposition |
| spellingShingle |
Universal Health Coverage Index Decomposition Khan, Jahangir A. M. Ahmed, Sayem Chen, Tao Tomeny, Ewan M. Niessen, Louis W. A transparent universal health coverage index with decomposition by socioeconomic groups: Application in Asian and African settings |
| description |
This article was published in the Applied Health Economics and Health Policy [© Springer Nature Switzerland AG 2019] and the definite version is available at: http://dx.doi.org/10.1007/s40258-019-00464-9 The Journal's website is at: https://link.springer.com/article/10.1007/s40258-019-00464-9#citeas |
| author2 |
Brac James P. Grant School of Public Health |
| author_facet |
Brac James P. Grant School of Public Health Khan, Jahangir A. M. Ahmed, Sayem Chen, Tao Tomeny, Ewan M. Niessen, Louis W. |
| format |
Journal Article |
| author |
Khan, Jahangir A. M. Ahmed, Sayem Chen, Tao Tomeny, Ewan M. Niessen, Louis W. |
| author_sort |
Khan, Jahangir A. M. |
| title |
A transparent universal health coverage index with decomposition by socioeconomic groups: Application in Asian and African settings |
| title_short |
A transparent universal health coverage index with decomposition by socioeconomic groups: Application in Asian and African settings |
| title_full |
A transparent universal health coverage index with decomposition by socioeconomic groups: Application in Asian and African settings |
| title_fullStr |
A transparent universal health coverage index with decomposition by socioeconomic groups: Application in Asian and African settings |
| title_full_unstemmed |
A transparent universal health coverage index with decomposition by socioeconomic groups: Application in Asian and African settings |
| title_sort |
transparent universal health coverage index with decomposition by socioeconomic groups: application in asian and african settings |
| publisher |
Springer Nature |
| publishDate |
2022 |
| url |
http://hdl.handle.net/10361/16466 https://doi.org/10.1007/s40258-019-00464-9 |
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