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Gender difference in the incidence of malaria diagnosed at public health facilities in Uganda

BACKGROUND: Routine malaria surveillance data in Africa primarily come from public health facilities reporting to national health management information systems. Although information on gender is routinely collected from patients presenting to these health facilities, stratification of malaria surve...

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Autores principales: Okiring, Jaffer, Epstein, Adrienne, Namuganga, Jane F., Kamya, Emmanuel V., Nabende, Isaiah, Nassali, Martha, Sserwanga, Asadu, Gonahasa, Samuel, Muwema, Mercy, Kiwuwa, Steven M., Staedke, Sarah G., Kamya, Moses R., Nankabirwa, Joaniter I., Briggs, Jessica, Jagannathan, Prasanna, Dorsey, Grant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8778495/
https://www.ncbi.nlm.nih.gov/pubmed/35062952
http://dx.doi.org/10.1186/s12936-022-04046-4
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author Okiring, Jaffer
Epstein, Adrienne
Namuganga, Jane F.
Kamya, Emmanuel V.
Nabende, Isaiah
Nassali, Martha
Sserwanga, Asadu
Gonahasa, Samuel
Muwema, Mercy
Kiwuwa, Steven M.
Staedke, Sarah G.
Kamya, Moses R.
Nankabirwa, Joaniter I.
Briggs, Jessica
Jagannathan, Prasanna
Dorsey, Grant
author_facet Okiring, Jaffer
Epstein, Adrienne
Namuganga, Jane F.
Kamya, Emmanuel V.
Nabende, Isaiah
Nassali, Martha
Sserwanga, Asadu
Gonahasa, Samuel
Muwema, Mercy
Kiwuwa, Steven M.
Staedke, Sarah G.
Kamya, Moses R.
Nankabirwa, Joaniter I.
Briggs, Jessica
Jagannathan, Prasanna
Dorsey, Grant
author_sort Okiring, Jaffer
collection PubMed
description BACKGROUND: Routine malaria surveillance data in Africa primarily come from public health facilities reporting to national health management information systems. Although information on gender is routinely collected from patients presenting to these health facilities, stratification of malaria surveillance data by gender is rarely done. This study evaluated gender difference among patients diagnosed with parasitological confirmed malaria at public health facilities in Uganda. METHODS: This study utilized individual level patient data collected from January 2020 through April 2021 at 12 public health facilities in Uganda and cross-sectional surveys conducted in target areas around these facilities in April 2021. Associations between gender and the incidence of malaria and non-malarial visits captured at the health facilities from patients residing within the target areas were estimated using poisson regression models controlling for seasonality. Associations between gender and data on health-seeking behaviour from the cross-sectional surveys were estimated using poisson regression models controlling for seasonality. RESULTS: Overall, incidence of malaria diagnosed per 1000 person years was 735 among females and 449 among males (IRR = 1.72, 95% CI 1.68–1.77, p < 0.001), with larger differences among those 15–39 years (IRR = 2.46, 95% CI 2.34–2.58, p < 0.001) and over 39 years (IRR = 2.26, 95% CI 2.05–2.50, p < 0.001) compared to those under 15 years (IRR = 1.46, 95% CI 1.41–1.50, p < 0.001). Female gender was also associated with a higher incidence of visits where malaria was not suspected (IRR = 1.77, 95% CI 1.71–1.83, p < 0.001), with a similar pattern across age strata. These associations were consistent across the 12 individual health centres. From the cross-sectional surveys, females were more likely than males to report fever in the past 2 weeks and seek care at the local health centre (7.5% vs. 4.7%, p = 0.001) with these associations significant for those 15–39 years (RR = 2.49, 95% CI 1.17–5.31, p = 0.018) and over 39 years (RR = 2.56, 95% CI 1.00–6.54, p = 0.049). CONCLUSIONS: Females disproportionately contribute to the burden of malaria diagnosed at public health facilities in Uganda, especially once they reach childbearing age. Contributing factors included more frequent visits to these facilities independent of malaria and a higher reported risk of seeking care at these facilities for febrile illnesses.
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spelling pubmed-87784952022-01-21 Gender difference in the incidence of malaria diagnosed at public health facilities in Uganda Okiring, Jaffer Epstein, Adrienne Namuganga, Jane F. Kamya, Emmanuel V. Nabende, Isaiah Nassali, Martha Sserwanga, Asadu Gonahasa, Samuel Muwema, Mercy Kiwuwa, Steven M. Staedke, Sarah G. Kamya, Moses R. Nankabirwa, Joaniter I. Briggs, Jessica Jagannathan, Prasanna Dorsey, Grant Malar J Research BACKGROUND: Routine malaria surveillance data in Africa primarily come from public health facilities reporting to national health management information systems. Although information on gender is routinely collected from patients presenting to these health facilities, stratification of malaria surveillance data by gender is rarely done. This study evaluated gender difference among patients diagnosed with parasitological confirmed malaria at public health facilities in Uganda. METHODS: This study utilized individual level patient data collected from January 2020 through April 2021 at 12 public health facilities in Uganda and cross-sectional surveys conducted in target areas around these facilities in April 2021. Associations between gender and the incidence of malaria and non-malarial visits captured at the health facilities from patients residing within the target areas were estimated using poisson regression models controlling for seasonality. Associations between gender and data on health-seeking behaviour from the cross-sectional surveys were estimated using poisson regression models controlling for seasonality. RESULTS: Overall, incidence of malaria diagnosed per 1000 person years was 735 among females and 449 among males (IRR = 1.72, 95% CI 1.68–1.77, p < 0.001), with larger differences among those 15–39 years (IRR = 2.46, 95% CI 2.34–2.58, p < 0.001) and over 39 years (IRR = 2.26, 95% CI 2.05–2.50, p < 0.001) compared to those under 15 years (IRR = 1.46, 95% CI 1.41–1.50, p < 0.001). Female gender was also associated with a higher incidence of visits where malaria was not suspected (IRR = 1.77, 95% CI 1.71–1.83, p < 0.001), with a similar pattern across age strata. These associations were consistent across the 12 individual health centres. From the cross-sectional surveys, females were more likely than males to report fever in the past 2 weeks and seek care at the local health centre (7.5% vs. 4.7%, p = 0.001) with these associations significant for those 15–39 years (RR = 2.49, 95% CI 1.17–5.31, p = 0.018) and over 39 years (RR = 2.56, 95% CI 1.00–6.54, p = 0.049). CONCLUSIONS: Females disproportionately contribute to the burden of malaria diagnosed at public health facilities in Uganda, especially once they reach childbearing age. Contributing factors included more frequent visits to these facilities independent of malaria and a higher reported risk of seeking care at these facilities for febrile illnesses. BioMed Central 2022-01-21 /pmc/articles/PMC8778495/ /pubmed/35062952 http://dx.doi.org/10.1186/s12936-022-04046-4 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
Okiring, Jaffer
Epstein, Adrienne
Namuganga, Jane F.
Kamya, Emmanuel V.
Nabende, Isaiah
Nassali, Martha
Sserwanga, Asadu
Gonahasa, Samuel
Muwema, Mercy
Kiwuwa, Steven M.
Staedke, Sarah G.
Kamya, Moses R.
Nankabirwa, Joaniter I.
Briggs, Jessica
Jagannathan, Prasanna
Dorsey, Grant
Gender difference in the incidence of malaria diagnosed at public health facilities in Uganda
title Gender difference in the incidence of malaria diagnosed at public health facilities in Uganda
title_full Gender difference in the incidence of malaria diagnosed at public health facilities in Uganda
title_fullStr Gender difference in the incidence of malaria diagnosed at public health facilities in Uganda
title_full_unstemmed Gender difference in the incidence of malaria diagnosed at public health facilities in Uganda
title_short Gender difference in the incidence of malaria diagnosed at public health facilities in Uganda
title_sort gender difference in the incidence of malaria diagnosed at public health facilities in uganda
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8778495/
https://www.ncbi.nlm.nih.gov/pubmed/35062952
http://dx.doi.org/10.1186/s12936-022-04046-4
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