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Primary Healthcare Quality in Conflict and Fragility: a subnational analysis of disparities using Population Health surveys

BACKGROUND: Recent global reports highlighted the importance of addressing the quality of care in all settings including fragile and conflict-affected situations (FCS), as a central strategy for the attainment of sustainable development goals and universal health coverage. Increased mortality burden...

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Autores principales: Ramadan, Marwa, Tappis, Hannah, Brieger, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202222/
https://www.ncbi.nlm.nih.gov/pubmed/35706012
http://dx.doi.org/10.1186/s13031-022-00466-w
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author Ramadan, Marwa
Tappis, Hannah
Brieger, William
author_facet Ramadan, Marwa
Tappis, Hannah
Brieger, William
author_sort Ramadan, Marwa
collection PubMed
description BACKGROUND: Recent global reports highlighted the importance of addressing the quality of care in all settings including fragile and conflict-affected situations (FCS), as a central strategy for the attainment of sustainable development goals and universal health coverage. Increased mortality burden in FCS reflects the inability to provide routine services of good quality. There is also paucity of research documenting the impact of conflict on the quality of care within fragile states including disparities in service delivery. This study addresses this measurement gap by examining disparities in the quality of primary healthcare services in four conflict-affected fragile states using proxy indicators. METHODS: A secondary analysis of publicly available data sources was performed in four conflict-affected fragile states: Cameroon, the Democratic Republic of Congo, Mali, and Nigeria. Two main databases were utilized: the Demographic Health Survey and the Uppsala Conflict Data Program for information on components of care and conflict events, respectively. Three equity measures were computed for each country: absolute difference, concentration index, and coefficients of mixed-effects logistic regression. Each computed measure was then compared according to the intensity of organized violence events at the neighborhood level. RESULTS: Overall, the four studied countries had poor quality of PHC services, with considerable subnational variation in the quality index. Poor quality of PHC services was not only limited to neighborhoods where medium or high intensity conflict was recorded but was also likely to be observed in neighborhoods with no or low intensity conflict. Both economic and educational disparities were observed in individual quality components in both categories of conflict intensity. CONCLUSION: Each of the four conflict-affected countries had an overall poor quality of PHC services with both economic and educational disparities in the individual components of the quality index, regardless of conflict intensity. Multi-sectoral efforts are needed to improve the quality of care and disparities in these settings, without a limited focus on sub-national areas where medium or high intensity conflict is recorded. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13031-022-00466-w.
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spelling pubmed-92022222022-06-17 Primary Healthcare Quality in Conflict and Fragility: a subnational analysis of disparities using Population Health surveys Ramadan, Marwa Tappis, Hannah Brieger, William Confl Health Research BACKGROUND: Recent global reports highlighted the importance of addressing the quality of care in all settings including fragile and conflict-affected situations (FCS), as a central strategy for the attainment of sustainable development goals and universal health coverage. Increased mortality burden in FCS reflects the inability to provide routine services of good quality. There is also paucity of research documenting the impact of conflict on the quality of care within fragile states including disparities in service delivery. This study addresses this measurement gap by examining disparities in the quality of primary healthcare services in four conflict-affected fragile states using proxy indicators. METHODS: A secondary analysis of publicly available data sources was performed in four conflict-affected fragile states: Cameroon, the Democratic Republic of Congo, Mali, and Nigeria. Two main databases were utilized: the Demographic Health Survey and the Uppsala Conflict Data Program for information on components of care and conflict events, respectively. Three equity measures were computed for each country: absolute difference, concentration index, and coefficients of mixed-effects logistic regression. Each computed measure was then compared according to the intensity of organized violence events at the neighborhood level. RESULTS: Overall, the four studied countries had poor quality of PHC services, with considerable subnational variation in the quality index. Poor quality of PHC services was not only limited to neighborhoods where medium or high intensity conflict was recorded but was also likely to be observed in neighborhoods with no or low intensity conflict. Both economic and educational disparities were observed in individual quality components in both categories of conflict intensity. CONCLUSION: Each of the four conflict-affected countries had an overall poor quality of PHC services with both economic and educational disparities in the individual components of the quality index, regardless of conflict intensity. Multi-sectoral efforts are needed to improve the quality of care and disparities in these settings, without a limited focus on sub-national areas where medium or high intensity conflict is recorded. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13031-022-00466-w. BioMed Central 2022-06-15 /pmc/articles/PMC9202222/ /pubmed/35706012 http://dx.doi.org/10.1186/s13031-022-00466-w Text en © The Author(s) 2022 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
Ramadan, Marwa
Tappis, Hannah
Brieger, William
Primary Healthcare Quality in Conflict and Fragility: a subnational analysis of disparities using Population Health surveys
title Primary Healthcare Quality in Conflict and Fragility: a subnational analysis of disparities using Population Health surveys
title_full Primary Healthcare Quality in Conflict and Fragility: a subnational analysis of disparities using Population Health surveys
title_fullStr Primary Healthcare Quality in Conflict and Fragility: a subnational analysis of disparities using Population Health surveys
title_full_unstemmed Primary Healthcare Quality in Conflict and Fragility: a subnational analysis of disparities using Population Health surveys
title_short Primary Healthcare Quality in Conflict and Fragility: a subnational analysis of disparities using Population Health surveys
title_sort primary healthcare quality in conflict and fragility: a subnational analysis of disparities using population health surveys
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202222/
https://www.ncbi.nlm.nih.gov/pubmed/35706012
http://dx.doi.org/10.1186/s13031-022-00466-w
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