Cargando…
Is South Africa closing the health gaps between districts? Monitoring progress towards universal health service coverage with routine facility data
BACKGROUND: South Africa is committed to advancing universal health coverage (UHC). The usefulness and potential of using routine health facility data for monitoring progress towards UHC, in the form of the 16-tracer WHO service coverage index (SCI), was assessed. METHODS: Alternative approaches to...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8435360/ https://www.ncbi.nlm.nih.gov/pubmed/34511085 http://dx.doi.org/10.1186/s12913-021-06171-3 |
_version_ | 1783751774936498176 |
---|---|
author | Day, Candy Gray, Andy Cois, Annibale Ndlovu, Noluthando Massyn, Naomi Boerma, Ties |
author_facet | Day, Candy Gray, Andy Cois, Annibale Ndlovu, Noluthando Massyn, Naomi Boerma, Ties |
author_sort | Day, Candy |
collection | PubMed |
description | BACKGROUND: South Africa is committed to advancing universal health coverage (UHC). The usefulness and potential of using routine health facility data for monitoring progress towards UHC, in the form of the 16-tracer WHO service coverage index (SCI), was assessed. METHODS: Alternative approaches to calculating the WHO SCI from routine data, allowing for disaggregation to district level, were explored. Data extraction, coding, transformation and modelling processes were applied to generate time series for these alternatives. Equity was assessed using socio-economic quintiles by district. RESULTS: The UHC SCI at a national level was 46.1 in 2007–2008 and 56.9 in 2016–2017. Only for the latter period, could the index be calculated for all indicators at a district level. Alternative indicators were formulated for 9 of 16 tracers in the index. Routine or repeated survey data could be used for 14 tracers. Apart from the NCD indicators, a gradient of poorer performance in the most deprived districts was evident in 2016–2017. CONCLUSIONS: It is possible to construct the UHC SCI for South Africa from predominantly routine data sources. Overall, there is evidence from district level data of a trend towards reduced inequity in relation to specific categories (notably RMNCH). Progress towards UHC has the potential to overcome fragmentation and enable harmonisation and interoperability of information systems. Private sector reporting of data into routine information systems should be encouraged. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06171-3. |
format | Online Article Text |
id | pubmed-8435360 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84353602021-09-13 Is South Africa closing the health gaps between districts? Monitoring progress towards universal health service coverage with routine facility data Day, Candy Gray, Andy Cois, Annibale Ndlovu, Noluthando Massyn, Naomi Boerma, Ties BMC Health Serv Res Research BACKGROUND: South Africa is committed to advancing universal health coverage (UHC). The usefulness and potential of using routine health facility data for monitoring progress towards UHC, in the form of the 16-tracer WHO service coverage index (SCI), was assessed. METHODS: Alternative approaches to calculating the WHO SCI from routine data, allowing for disaggregation to district level, were explored. Data extraction, coding, transformation and modelling processes were applied to generate time series for these alternatives. Equity was assessed using socio-economic quintiles by district. RESULTS: The UHC SCI at a national level was 46.1 in 2007–2008 and 56.9 in 2016–2017. Only for the latter period, could the index be calculated for all indicators at a district level. Alternative indicators were formulated for 9 of 16 tracers in the index. Routine or repeated survey data could be used for 14 tracers. Apart from the NCD indicators, a gradient of poorer performance in the most deprived districts was evident in 2016–2017. CONCLUSIONS: It is possible to construct the UHC SCI for South Africa from predominantly routine data sources. Overall, there is evidence from district level data of a trend towards reduced inequity in relation to specific categories (notably RMNCH). Progress towards UHC has the potential to overcome fragmentation and enable harmonisation and interoperability of information systems. Private sector reporting of data into routine information systems should be encouraged. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-06171-3. BioMed Central 2021-09-13 /pmc/articles/PMC8435360/ /pubmed/34511085 http://dx.doi.org/10.1186/s12913-021-06171-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Day, Candy Gray, Andy Cois, Annibale Ndlovu, Noluthando Massyn, Naomi Boerma, Ties Is South Africa closing the health gaps between districts? Monitoring progress towards universal health service coverage with routine facility data |
title | Is South Africa closing the health gaps between districts? Monitoring progress towards universal health service coverage with routine facility data |
title_full | Is South Africa closing the health gaps between districts? Monitoring progress towards universal health service coverage with routine facility data |
title_fullStr | Is South Africa closing the health gaps between districts? Monitoring progress towards universal health service coverage with routine facility data |
title_full_unstemmed | Is South Africa closing the health gaps between districts? Monitoring progress towards universal health service coverage with routine facility data |
title_short | Is South Africa closing the health gaps between districts? Monitoring progress towards universal health service coverage with routine facility data |
title_sort | is south africa closing the health gaps between districts? monitoring progress towards universal health service coverage with routine facility data |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8435360/ https://www.ncbi.nlm.nih.gov/pubmed/34511085 http://dx.doi.org/10.1186/s12913-021-06171-3 |
work_keys_str_mv | AT daycandy issouthafricaclosingthehealthgapsbetweendistrictsmonitoringprogresstowardsuniversalhealthservicecoveragewithroutinefacilitydata AT grayandy issouthafricaclosingthehealthgapsbetweendistrictsmonitoringprogresstowardsuniversalhealthservicecoveragewithroutinefacilitydata AT coisannibale issouthafricaclosingthehealthgapsbetweendistrictsmonitoringprogresstowardsuniversalhealthservicecoveragewithroutinefacilitydata AT ndlovunoluthando issouthafricaclosingthehealthgapsbetweendistrictsmonitoringprogresstowardsuniversalhealthservicecoveragewithroutinefacilitydata AT massynnaomi issouthafricaclosingthehealthgapsbetweendistrictsmonitoringprogresstowardsuniversalhealthservicecoveragewithroutinefacilitydata AT boermaties issouthafricaclosingthehealthgapsbetweendistrictsmonitoringprogresstowardsuniversalhealthservicecoveragewithroutinefacilitydata |