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Determinants of malaria treatment delay in northwestern zone of Tigray region, Northern Ethiopia, 2018

BACKGROUND: Globally malaria affects 212 million people and causes 438,000 deaths each year. Ensuring early and timely treatment of malaria is important for preventing and controlling of life-threatening complications and further transmission. Even though malaria treatment is widely available in Eth...

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Autores principales: Tesfahunegn, Afewerki, Zenebe, Dawit, Addisu, Alefech
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842532/
https://www.ncbi.nlm.nih.gov/pubmed/31706356
http://dx.doi.org/10.1186/s12936-019-2992-7
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author Tesfahunegn, Afewerki
Zenebe, Dawit
Addisu, Alefech
author_facet Tesfahunegn, Afewerki
Zenebe, Dawit
Addisu, Alefech
author_sort Tesfahunegn, Afewerki
collection PubMed
description BACKGROUND: Globally malaria affects 212 million people and causes 438,000 deaths each year. Ensuring early and timely treatment of malaria is important for preventing and controlling of life-threatening complications and further transmission. Even though malaria treatment is widely available in Ethiopia, 47–84% of patients present after 24 h of onset of first symptoms. This study assessed the determinants of delay for malaria treatment in Tigray, Ethiopia. METHODS: A health facility-based case–control study design in northwestern zone of Tigray was conducted from September 2018 to January 2019. All the study participants enrolled were confirmed malaria patients (by microscopy or rapid diagnostic test) and who sought treatment. Cases were defined as malaria patients who sought treatment after 24 h of the onset of the first symptom and control were those who sought treatment within 24 h onset of symptom. A structured questionnaire was used to collect data on the determinants of malaria treatment delay. Data were entered into EpiInfo 7.0 and exported to SPSS 20.0 for analysis. Binary logistic regression was computed to identify predictors of delay for malaria treatment. RESULTS: In total 161 cases and 161 controls were identified. Being residents of Tahtay Adyabo district (AOR = 2.84, 95% CI 1.29–6.27), having no formal education (AOR = 2.39, 95% CI 1.09–5.22), the decisions to seek health care being taken by the patient (AOR = 2.38 95% CI 1.09–5.2), the decisions to seek health care being taken by their fathers (AOR = 2.52, 95% CI 1.13–5.62), and having good knowledge about malaria symptoms (AOR = 2.02, 95% CI 1.21–3.39) were found determinants of delay for malaria treatment. CONCLUSION: In this study, delays in obtaining treatment for malaria were associated with having no formal education, knowing about the signs and symptoms of malaria, living in Tahtay Adyabo district, and decision-making on seeking malaria treatment. The results suggests having treatment commenced at sites closer to the community and strengthened awareness-raising activity about the importance of early seeking for all with malaria-like symptoms, especially for household heads would contribute to improved treatment and reduced complications from malaria.
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spelling pubmed-68425322019-11-14 Determinants of malaria treatment delay in northwestern zone of Tigray region, Northern Ethiopia, 2018 Tesfahunegn, Afewerki Zenebe, Dawit Addisu, Alefech Malar J Research BACKGROUND: Globally malaria affects 212 million people and causes 438,000 deaths each year. Ensuring early and timely treatment of malaria is important for preventing and controlling of life-threatening complications and further transmission. Even though malaria treatment is widely available in Ethiopia, 47–84% of patients present after 24 h of onset of first symptoms. This study assessed the determinants of delay for malaria treatment in Tigray, Ethiopia. METHODS: A health facility-based case–control study design in northwestern zone of Tigray was conducted from September 2018 to January 2019. All the study participants enrolled were confirmed malaria patients (by microscopy or rapid diagnostic test) and who sought treatment. Cases were defined as malaria patients who sought treatment after 24 h of the onset of the first symptom and control were those who sought treatment within 24 h onset of symptom. A structured questionnaire was used to collect data on the determinants of malaria treatment delay. Data were entered into EpiInfo 7.0 and exported to SPSS 20.0 for analysis. Binary logistic regression was computed to identify predictors of delay for malaria treatment. RESULTS: In total 161 cases and 161 controls were identified. Being residents of Tahtay Adyabo district (AOR = 2.84, 95% CI 1.29–6.27), having no formal education (AOR = 2.39, 95% CI 1.09–5.22), the decisions to seek health care being taken by the patient (AOR = 2.38 95% CI 1.09–5.2), the decisions to seek health care being taken by their fathers (AOR = 2.52, 95% CI 1.13–5.62), and having good knowledge about malaria symptoms (AOR = 2.02, 95% CI 1.21–3.39) were found determinants of delay for malaria treatment. CONCLUSION: In this study, delays in obtaining treatment for malaria were associated with having no formal education, knowing about the signs and symptoms of malaria, living in Tahtay Adyabo district, and decision-making on seeking malaria treatment. The results suggests having treatment commenced at sites closer to the community and strengthened awareness-raising activity about the importance of early seeking for all with malaria-like symptoms, especially for household heads would contribute to improved treatment and reduced complications from malaria. BioMed Central 2019-11-09 /pmc/articles/PMC6842532/ /pubmed/31706356 http://dx.doi.org/10.1186/s12936-019-2992-7 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
Tesfahunegn, Afewerki
Zenebe, Dawit
Addisu, Alefech
Determinants of malaria treatment delay in northwestern zone of Tigray region, Northern Ethiopia, 2018
title Determinants of malaria treatment delay in northwestern zone of Tigray region, Northern Ethiopia, 2018
title_full Determinants of malaria treatment delay in northwestern zone of Tigray region, Northern Ethiopia, 2018
title_fullStr Determinants of malaria treatment delay in northwestern zone of Tigray region, Northern Ethiopia, 2018
title_full_unstemmed Determinants of malaria treatment delay in northwestern zone of Tigray region, Northern Ethiopia, 2018
title_short Determinants of malaria treatment delay in northwestern zone of Tigray region, Northern Ethiopia, 2018
title_sort determinants of malaria treatment delay in northwestern zone of tigray region, northern ethiopia, 2018
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6842532/
https://www.ncbi.nlm.nih.gov/pubmed/31706356
http://dx.doi.org/10.1186/s12936-019-2992-7
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