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Under-five mortality in the Democratic Republic of the Congo: secondary analyses of survey and conflict data by province

OBJECTIVE: To compare coverage of key child health policy indicators across provinces and to explore their association with under-five mortality and level of conflict in the Democratic Republic of the Congo. METHODS: We made a secondary analysis of nationally representative data from 1380 health fac...

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Autores principales: Schedwin, Mattias, Furaha, Aurélie Bisumba, Kapend, Richard, Akilimali, Pierre, Malembaka, Espoir Bwenge, Hildenwall, Helena, Alfvén, Tobias, Tylleskär, Thorkild, Mapatano, Mala Ali, King, Carina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: World Health Organization 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9243684/
https://www.ncbi.nlm.nih.gov/pubmed/35813509
http://dx.doi.org/10.2471/BLT.22.287915
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author Schedwin, Mattias
Furaha, Aurélie Bisumba
Kapend, Richard
Akilimali, Pierre
Malembaka, Espoir Bwenge
Hildenwall, Helena
Alfvén, Tobias
Tylleskär, Thorkild
Mapatano, Mala Ali
King, Carina
author_facet Schedwin, Mattias
Furaha, Aurélie Bisumba
Kapend, Richard
Akilimali, Pierre
Malembaka, Espoir Bwenge
Hildenwall, Helena
Alfvén, Tobias
Tylleskär, Thorkild
Mapatano, Mala Ali
King, Carina
author_sort Schedwin, Mattias
collection PubMed
description OBJECTIVE: To compare coverage of key child health policy indicators across provinces and to explore their association with under-five mortality and level of conflict in the Democratic Republic of the Congo. METHODS: We made a secondary analysis of nationally representative data from 1380 health facilities and 20 792 households in 2017–2018. We analysed provincial-level data on coverage of 23 different indicators for improving common causes of childhood mortality, combined into mean scores for: newborn health, pneumonia, diarrhoea, malaria and safe environment. Using negative binomial regression we compared the scores with provincial-level under-five mortality. With binary logistic regression at the individual level we compared indicators (outcome) with living in a conflict-affected province (exposure). FINDINGS: All grouped coverage scores demonstrated large ranges across the 26 provinces: newborn health: 20% to 61%; pneumonia: 26% to 86%; diarrhoea: 25% to 63%; malaria: 22% to 53%; and safe environment: 4% to 53%. The diarrhoea score demonstrated the strongest association with under-five mortality (adjusted coefficient: −0.026; 95% confidence interval: −0.045 to −0.007). Conflict-affected provinces had both the highest as well as the lowest mortality rates and indicator coverages. The odds of coverage were higher in conflict-affected provinces for 13 out of 23 indicators, whereas in provinces unaffected by conflict only one indicator had higher odds of coverage. CONCLUSION: Conflict alone is a poor predictor for child health. Ensuring that children in unaffected provinces are not neglected while addressing the needs of the most vulnerable in conflict settings is important. Prevent, protect and treat strategies for diarrhoeal disease could help improve equity in child survival.
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spelling pubmed-92436842022-07-07 Under-five mortality in the Democratic Republic of the Congo: secondary analyses of survey and conflict data by province Schedwin, Mattias Furaha, Aurélie Bisumba Kapend, Richard Akilimali, Pierre Malembaka, Espoir Bwenge Hildenwall, Helena Alfvén, Tobias Tylleskär, Thorkild Mapatano, Mala Ali King, Carina Bull World Health Organ Research OBJECTIVE: To compare coverage of key child health policy indicators across provinces and to explore their association with under-five mortality and level of conflict in the Democratic Republic of the Congo. METHODS: We made a secondary analysis of nationally representative data from 1380 health facilities and 20 792 households in 2017–2018. We analysed provincial-level data on coverage of 23 different indicators for improving common causes of childhood mortality, combined into mean scores for: newborn health, pneumonia, diarrhoea, malaria and safe environment. Using negative binomial regression we compared the scores with provincial-level under-five mortality. With binary logistic regression at the individual level we compared indicators (outcome) with living in a conflict-affected province (exposure). FINDINGS: All grouped coverage scores demonstrated large ranges across the 26 provinces: newborn health: 20% to 61%; pneumonia: 26% to 86%; diarrhoea: 25% to 63%; malaria: 22% to 53%; and safe environment: 4% to 53%. The diarrhoea score demonstrated the strongest association with under-five mortality (adjusted coefficient: −0.026; 95% confidence interval: −0.045 to −0.007). Conflict-affected provinces had both the highest as well as the lowest mortality rates and indicator coverages. The odds of coverage were higher in conflict-affected provinces for 13 out of 23 indicators, whereas in provinces unaffected by conflict only one indicator had higher odds of coverage. CONCLUSION: Conflict alone is a poor predictor for child health. Ensuring that children in unaffected provinces are not neglected while addressing the needs of the most vulnerable in conflict settings is important. Prevent, protect and treat strategies for diarrhoeal disease could help improve equity in child survival. World Health Organization 2022-07-01 2022-06-02 /pmc/articles/PMC9243684/ /pubmed/35813509 http://dx.doi.org/10.2471/BLT.22.287915 Text en (c) 2022 The authors; licensee World Health Organization. https://creativecommons.org/licenses/by/3.0/igo/This is an open access article distributed under the terms of the Creative Commons Attribution IGO License (http://creativecommons.org/licenses/by/3.0/igo/legalcode (https://creativecommons.org/licenses/by/3.0/igo/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In any reproduction of this article there should not be any suggestion that WHO or this article endorse any specific organization or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL.
spellingShingle Research
Schedwin, Mattias
Furaha, Aurélie Bisumba
Kapend, Richard
Akilimali, Pierre
Malembaka, Espoir Bwenge
Hildenwall, Helena
Alfvén, Tobias
Tylleskär, Thorkild
Mapatano, Mala Ali
King, Carina
Under-five mortality in the Democratic Republic of the Congo: secondary analyses of survey and conflict data by province
title Under-five mortality in the Democratic Republic of the Congo: secondary analyses of survey and conflict data by province
title_full Under-five mortality in the Democratic Republic of the Congo: secondary analyses of survey and conflict data by province
title_fullStr Under-five mortality in the Democratic Republic of the Congo: secondary analyses of survey and conflict data by province
title_full_unstemmed Under-five mortality in the Democratic Republic of the Congo: secondary analyses of survey and conflict data by province
title_short Under-five mortality in the Democratic Republic of the Congo: secondary analyses of survey and conflict data by province
title_sort under-five mortality in the democratic republic of the congo: secondary analyses of survey and conflict data by province
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9243684/
https://www.ncbi.nlm.nih.gov/pubmed/35813509
http://dx.doi.org/10.2471/BLT.22.287915
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