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The quality of malaria case management in different transmission settings in Tanzania mainland, 2017–2018
Tanzania is undergoing an epidemiological transition for malaria transmission with some areas of the country having <10% (hypoendemic) and other areas 10% - 50% malaria prevalence (mesoendemic). It is not known whether there is a difference in the quality of malaria case management based on endem...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441786/ https://www.ncbi.nlm.nih.gov/pubmed/37603541 http://dx.doi.org/10.1371/journal.pgph.0002318 |
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author | Hussein, Ally Kassim Tarimo, Donath Reaves, Erik J. Chacky, Frank Abade, Ahmed Mohamed Mwalimu, Charles Dismas Mohamed, Ally Nasser, Ahlam Kishimba, Rogath Saika |
author_facet | Hussein, Ally Kassim Tarimo, Donath Reaves, Erik J. Chacky, Frank Abade, Ahmed Mohamed Mwalimu, Charles Dismas Mohamed, Ally Nasser, Ahlam Kishimba, Rogath Saika |
author_sort | Hussein, Ally Kassim |
collection | PubMed |
description | Tanzania is undergoing an epidemiological transition for malaria transmission with some areas of the country having <10% (hypoendemic) and other areas 10% - 50% malaria prevalence (mesoendemic). It is not known whether there is a difference in the quality of malaria case management based on endemicity in Tanzania mainland. We examined the influence of endemicity on the quality of malaria case management at health facilities. We conducted a cross-sectional analysis of 1713 health facilities in Tanzania mainland, using data collected by the National Malaria Control Program through an assessment tool to evaluate quality of malaria case management. The data was gathered from September 2017 to December 2018. Using standard quality factors, mean scores from facilities in the different endemicity regions were compared by a Student’s t-test. Simple and multiple linear regression analyses were performed to determine the association between facility performance (score) and endemicity (mesoendemic vs. hypoendemic). Facilities in mesoendemic regions scored higher than those in hypoendemic regions on the overall quality of services [difference in mean scores ([Image: see text] ) = 2.52; (95% Confidence Interval (CI) 1.12, 3.91)], site readiness [[Image: see text] = 2.97; (95% CI 1.30, 4.61)], availability of malaria reference materials [[Image: see text] = 4.91; (95% CI 2.05, 7.76)], availability of Health Management Information System tools [[Image: see text] = 5.86; (95% CI 3.80, 7.92)] and patient satisfaction [[Image: see text] = 6.61; (95% CI 3.75, 9.48)]. Predictors associated with lower facility scores included; being located in a hypoendemic region [β: -2.49; (95% CI -3.83, -1.15)] and urban area [β: -3.84; (95% CI -5.60, -2.08)]. These findings highlight the differences in quality of malaria case management based on endemicity, but there is still a need to target improvement efforts in underperforming facilities, regardless of endemicity. |
format | Online Article Text |
id | pubmed-10441786 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-104417862023-08-22 The quality of malaria case management in different transmission settings in Tanzania mainland, 2017–2018 Hussein, Ally Kassim Tarimo, Donath Reaves, Erik J. Chacky, Frank Abade, Ahmed Mohamed Mwalimu, Charles Dismas Mohamed, Ally Nasser, Ahlam Kishimba, Rogath Saika PLOS Glob Public Health Research Article Tanzania is undergoing an epidemiological transition for malaria transmission with some areas of the country having <10% (hypoendemic) and other areas 10% - 50% malaria prevalence (mesoendemic). It is not known whether there is a difference in the quality of malaria case management based on endemicity in Tanzania mainland. We examined the influence of endemicity on the quality of malaria case management at health facilities. We conducted a cross-sectional analysis of 1713 health facilities in Tanzania mainland, using data collected by the National Malaria Control Program through an assessment tool to evaluate quality of malaria case management. The data was gathered from September 2017 to December 2018. Using standard quality factors, mean scores from facilities in the different endemicity regions were compared by a Student’s t-test. Simple and multiple linear regression analyses were performed to determine the association between facility performance (score) and endemicity (mesoendemic vs. hypoendemic). Facilities in mesoendemic regions scored higher than those in hypoendemic regions on the overall quality of services [difference in mean scores ([Image: see text] ) = 2.52; (95% Confidence Interval (CI) 1.12, 3.91)], site readiness [[Image: see text] = 2.97; (95% CI 1.30, 4.61)], availability of malaria reference materials [[Image: see text] = 4.91; (95% CI 2.05, 7.76)], availability of Health Management Information System tools [[Image: see text] = 5.86; (95% CI 3.80, 7.92)] and patient satisfaction [[Image: see text] = 6.61; (95% CI 3.75, 9.48)]. Predictors associated with lower facility scores included; being located in a hypoendemic region [β: -2.49; (95% CI -3.83, -1.15)] and urban area [β: -3.84; (95% CI -5.60, -2.08)]. These findings highlight the differences in quality of malaria case management based on endemicity, but there is still a need to target improvement efforts in underperforming facilities, regardless of endemicity. Public Library of Science 2023-08-21 /pmc/articles/PMC10441786/ /pubmed/37603541 http://dx.doi.org/10.1371/journal.pgph.0002318 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Hussein, Ally Kassim Tarimo, Donath Reaves, Erik J. Chacky, Frank Abade, Ahmed Mohamed Mwalimu, Charles Dismas Mohamed, Ally Nasser, Ahlam Kishimba, Rogath Saika The quality of malaria case management in different transmission settings in Tanzania mainland, 2017–2018 |
title | The quality of malaria case management in different transmission settings in Tanzania mainland, 2017–2018 |
title_full | The quality of malaria case management in different transmission settings in Tanzania mainland, 2017–2018 |
title_fullStr | The quality of malaria case management in different transmission settings in Tanzania mainland, 2017–2018 |
title_full_unstemmed | The quality of malaria case management in different transmission settings in Tanzania mainland, 2017–2018 |
title_short | The quality of malaria case management in different transmission settings in Tanzania mainland, 2017–2018 |
title_sort | quality of malaria case management in different transmission settings in tanzania mainland, 2017–2018 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10441786/ https://www.ncbi.nlm.nih.gov/pubmed/37603541 http://dx.doi.org/10.1371/journal.pgph.0002318 |
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