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Geographical variations of the associations between health interventions and all-cause under-five mortality in Uganda

BACKGROUND: To reduce the under-five mortality (U5M), fine-gained spatial assessment of the effects of health interventions is critical because national averages can obscure important sub-national disparities. In turn, sub-national estimates can guide control programmes for spatial targeting. The pu...

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Autores principales: Nambuusi, Betty B., Ssempiira, Julius, Makumbi, Fredrick E., Utzinger, Jürg, Kasasa, Simon, Vounatsou, Penelope
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6805502/
https://www.ncbi.nlm.nih.gov/pubmed/31640635
http://dx.doi.org/10.1186/s12889-019-7636-x
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author Nambuusi, Betty B.
Ssempiira, Julius
Makumbi, Fredrick E.
Utzinger, Jürg
Kasasa, Simon
Vounatsou, Penelope
author_facet Nambuusi, Betty B.
Ssempiira, Julius
Makumbi, Fredrick E.
Utzinger, Jürg
Kasasa, Simon
Vounatsou, Penelope
author_sort Nambuusi, Betty B.
collection PubMed
description BACKGROUND: To reduce the under-five mortality (U5M), fine-gained spatial assessment of the effects of health interventions is critical because national averages can obscure important sub-national disparities. In turn, sub-national estimates can guide control programmes for spatial targeting. The purpose of our study is to quantify associations of interventions with U5M rate at national and sub-national scales in Uganda and to identify interventions associated with the largest reductions in U5M rate at the sub-national scale. METHODS: Spatially explicit data on U5M, interventions and sociodemographic indicators were obtained from the 2011 Uganda Demographic and Health Survey (DHS). Climatic data were extracted from remote sensing sources. Bayesian geostatistical Weibull proportional hazards models with spatially varying effects at sub-national scales were utilized to quantify associations between all-cause U5M and interventions at national and regional levels. Bayesian variable selection was employed to select the most important determinants of U5M. RESULTS: At the national level, interventions associated with the highest reduction in U5M were artemisinin-based combination therapy (hazard rate ratio (HRR) = 0.60; 95% Bayesian credible interval (BCI): 0.11, 0.79), initiation of breastfeeding within 1 h of birth (HR = 0.70; 95% BCI: 0.51, 0.86), intermittent preventive treatment (IPTp) (HRR = 0.74; 95% BCI: 0.67, 0.97) and access to insecticide-treated nets (ITN) (HRR = 0.75; 95% BCI: 0.63, 0.84). In Central 2, Mid-Western and South-West, largest reduction in U5M was associated with access to ITNs. In Mid-North and West-Nile, improved source of drinking water explained most of the U5M reduction. In North-East, improved sanitation facilities were associated with the highest decline in U5M. In Kampala and Mid-Eastern, IPTp had the largest associated with U5M. In Central1 and East-Central, oral rehydration solution and postnatal care were associated with highest decreases in U5M respectively. CONCLUSION: Sub-national estimates of the associations between U5M and interventions can guide control programmes for spatial targeting and accelerate progress towards mortality-related Sustainable Development Goals.
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spelling pubmed-68055022019-10-24 Geographical variations of the associations between health interventions and all-cause under-five mortality in Uganda Nambuusi, Betty B. Ssempiira, Julius Makumbi, Fredrick E. Utzinger, Jürg Kasasa, Simon Vounatsou, Penelope BMC Public Health Research Article BACKGROUND: To reduce the under-five mortality (U5M), fine-gained spatial assessment of the effects of health interventions is critical because national averages can obscure important sub-national disparities. In turn, sub-national estimates can guide control programmes for spatial targeting. The purpose of our study is to quantify associations of interventions with U5M rate at national and sub-national scales in Uganda and to identify interventions associated with the largest reductions in U5M rate at the sub-national scale. METHODS: Spatially explicit data on U5M, interventions and sociodemographic indicators were obtained from the 2011 Uganda Demographic and Health Survey (DHS). Climatic data were extracted from remote sensing sources. Bayesian geostatistical Weibull proportional hazards models with spatially varying effects at sub-national scales were utilized to quantify associations between all-cause U5M and interventions at national and regional levels. Bayesian variable selection was employed to select the most important determinants of U5M. RESULTS: At the national level, interventions associated with the highest reduction in U5M were artemisinin-based combination therapy (hazard rate ratio (HRR) = 0.60; 95% Bayesian credible interval (BCI): 0.11, 0.79), initiation of breastfeeding within 1 h of birth (HR = 0.70; 95% BCI: 0.51, 0.86), intermittent preventive treatment (IPTp) (HRR = 0.74; 95% BCI: 0.67, 0.97) and access to insecticide-treated nets (ITN) (HRR = 0.75; 95% BCI: 0.63, 0.84). In Central 2, Mid-Western and South-West, largest reduction in U5M was associated with access to ITNs. In Mid-North and West-Nile, improved source of drinking water explained most of the U5M reduction. In North-East, improved sanitation facilities were associated with the highest decline in U5M. In Kampala and Mid-Eastern, IPTp had the largest associated with U5M. In Central1 and East-Central, oral rehydration solution and postnatal care were associated with highest decreases in U5M respectively. CONCLUSION: Sub-national estimates of the associations between U5M and interventions can guide control programmes for spatial targeting and accelerate progress towards mortality-related Sustainable Development Goals. BioMed Central 2019-10-22 /pmc/articles/PMC6805502/ /pubmed/31640635 http://dx.doi.org/10.1186/s12889-019-7636-x Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Nambuusi, Betty B.
Ssempiira, Julius
Makumbi, Fredrick E.
Utzinger, Jürg
Kasasa, Simon
Vounatsou, Penelope
Geographical variations of the associations between health interventions and all-cause under-five mortality in Uganda
title Geographical variations of the associations between health interventions and all-cause under-five mortality in Uganda
title_full Geographical variations of the associations between health interventions and all-cause under-five mortality in Uganda
title_fullStr Geographical variations of the associations between health interventions and all-cause under-five mortality in Uganda
title_full_unstemmed Geographical variations of the associations between health interventions and all-cause under-five mortality in Uganda
title_short Geographical variations of the associations between health interventions and all-cause under-five mortality in Uganda
title_sort geographical variations of the associations between health interventions and all-cause under-five mortality in uganda
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6805502/
https://www.ncbi.nlm.nih.gov/pubmed/31640635
http://dx.doi.org/10.1186/s12889-019-7636-x
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