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Measuring health facility readiness and its effects on severe malaria outcomes in Uganda

There is paucity of evidence for the role of health service delivery to the malaria decline in Uganda We developed a methodology to quantify health facility readiness and assessed its role on severe malaria outcomes among lower-level facilities (HCIIIs and HCIIs) in the country. Malaria data was ext...

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Autores principales: Ssempiira, Julius, Kasirye, Ibrahim, Kissa, John, Nambuusi, Betty, Mukooyo, Eddie, Opigo, Jimmy, Makumbi, Fredrick, Kasasa, Simon, Vounatsou, Penelope
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6298957/
https://www.ncbi.nlm.nih.gov/pubmed/30560884
http://dx.doi.org/10.1038/s41598-018-36249-8
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author Ssempiira, Julius
Kasirye, Ibrahim
Kissa, John
Nambuusi, Betty
Mukooyo, Eddie
Opigo, Jimmy
Makumbi, Fredrick
Kasasa, Simon
Vounatsou, Penelope
author_facet Ssempiira, Julius
Kasirye, Ibrahim
Kissa, John
Nambuusi, Betty
Mukooyo, Eddie
Opigo, Jimmy
Makumbi, Fredrick
Kasasa, Simon
Vounatsou, Penelope
author_sort Ssempiira, Julius
collection PubMed
description There is paucity of evidence for the role of health service delivery to the malaria decline in Uganda We developed a methodology to quantify health facility readiness and assessed its role on severe malaria outcomes among lower-level facilities (HCIIIs and HCIIs) in the country. Malaria data was extracted from the Health Management Information System (HMIS). General service and malaria-specific readiness indicators were obtained from the 2013 Uganda service delivery indicator survey. Multiple correspondence analysis (MCA) was used to construct a composite facility readiness score based on multiple factorial axes. Geostatistical models assessed the effect of facility readiness on malaria deaths and severe cases. Malaria readiness was achieved in one-quarter of the facilities. The composite readiness score explained 48% and 46% of the variation in the original indicators compared to 23% and 27%, explained by the first axis alone for HCIIIs and HCIIs, respectively. Mortality rate was 64% (IRR = 0.36, 95% BCI: 0.14–0.61) and 68% (IRR = 0.32, 95% BCI: 0.12–0.54) lower in the medium and high compared to low readiness groups, respectively. A composite readiness index is more informative and consistent than the one based on the first MCA factorial axis. In Uganda, higher facility readiness is associated with a reduced risk of severe malaria outcomes.
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spelling pubmed-62989572018-12-26 Measuring health facility readiness and its effects on severe malaria outcomes in Uganda Ssempiira, Julius Kasirye, Ibrahim Kissa, John Nambuusi, Betty Mukooyo, Eddie Opigo, Jimmy Makumbi, Fredrick Kasasa, Simon Vounatsou, Penelope Sci Rep Article There is paucity of evidence for the role of health service delivery to the malaria decline in Uganda We developed a methodology to quantify health facility readiness and assessed its role on severe malaria outcomes among lower-level facilities (HCIIIs and HCIIs) in the country. Malaria data was extracted from the Health Management Information System (HMIS). General service and malaria-specific readiness indicators were obtained from the 2013 Uganda service delivery indicator survey. Multiple correspondence analysis (MCA) was used to construct a composite facility readiness score based on multiple factorial axes. Geostatistical models assessed the effect of facility readiness on malaria deaths and severe cases. Malaria readiness was achieved in one-quarter of the facilities. The composite readiness score explained 48% and 46% of the variation in the original indicators compared to 23% and 27%, explained by the first axis alone for HCIIIs and HCIIs, respectively. Mortality rate was 64% (IRR = 0.36, 95% BCI: 0.14–0.61) and 68% (IRR = 0.32, 95% BCI: 0.12–0.54) lower in the medium and high compared to low readiness groups, respectively. A composite readiness index is more informative and consistent than the one based on the first MCA factorial axis. In Uganda, higher facility readiness is associated with a reduced risk of severe malaria outcomes. Nature Publishing Group UK 2018-12-18 /pmc/articles/PMC6298957/ /pubmed/30560884 http://dx.doi.org/10.1038/s41598-018-36249-8 Text en © The Author(s) 2018 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ssempiira, Julius
Kasirye, Ibrahim
Kissa, John
Nambuusi, Betty
Mukooyo, Eddie
Opigo, Jimmy
Makumbi, Fredrick
Kasasa, Simon
Vounatsou, Penelope
Measuring health facility readiness and its effects on severe malaria outcomes in Uganda
title Measuring health facility readiness and its effects on severe malaria outcomes in Uganda
title_full Measuring health facility readiness and its effects on severe malaria outcomes in Uganda
title_fullStr Measuring health facility readiness and its effects on severe malaria outcomes in Uganda
title_full_unstemmed Measuring health facility readiness and its effects on severe malaria outcomes in Uganda
title_short Measuring health facility readiness and its effects on severe malaria outcomes in Uganda
title_sort measuring health facility readiness and its effects on severe malaria outcomes in uganda
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6298957/
https://www.ncbi.nlm.nih.gov/pubmed/30560884
http://dx.doi.org/10.1038/s41598-018-36249-8
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