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Health workers readiness and practice in malaria case detection and appropriate treatment: a meta-analysis and meta-regression

BACKGROUND: Health workers (HWs) appropriate malaria case management includes early detection and prompt treatment with appropriate anti-malarial drugs. Subsequently, HWs readiness and practice are considered authentic evidence to measure the health system performance regarding malaria control progr...

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Autores principales: Azizi, Hosein, Majdzadeh, Reza, Ahmadi, Ayat, Esmaeili, Elham Davtalab, Naghili, Behrouz, Mansournia, Mohammad Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8543935/
https://www.ncbi.nlm.nih.gov/pubmed/34689791
http://dx.doi.org/10.1186/s12936-021-03954-1
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author Azizi, Hosein
Majdzadeh, Reza
Ahmadi, Ayat
Esmaeili, Elham Davtalab
Naghili, Behrouz
Mansournia, Mohammad Ali
author_facet Azizi, Hosein
Majdzadeh, Reza
Ahmadi, Ayat
Esmaeili, Elham Davtalab
Naghili, Behrouz
Mansournia, Mohammad Ali
author_sort Azizi, Hosein
collection PubMed
description BACKGROUND: Health workers (HWs) appropriate malaria case management includes early detection and prompt treatment with appropriate anti-malarial drugs. Subsequently, HWs readiness and practice are considered authentic evidence to measure the health system performance regarding malaria control programme milestones and to issue malaria elimination certification. There is no comprehensive evidence based on meta-analysis, to measure the performance of HWs in case management of malaria. This study aimed to evaluate HWs performance in early malaria case detection (testing) and the appropriate treatment. METHODS: The published literature in English was systematically searched from Medline, Scopus, Embase, and Malaria Journal up to 30th December 2020. The inclusion criteria were any studies that assessed HWs practice in early case detection by malaria testing and appropriate treatment. Eligibility assessment of records was performed independently in a blinded, standardized way by two reviewers. Pooled prevalence estimates were stratified by HWs cadre type. Meta-regression analysis was performed to explore the impact of the appropriateness of the method and risk of bias as potential sources of the heterogeneity in the presence of effective factors. RESULTS: The study pooled data of 9245 HWs obtained from 15 included studies. No study has been found in eliminating settings. The pooled estimate for appropriate malaria treatment and malaria testing were 60%; 95% CI: 53–67% and 57%; 95% CI: 49–65%, respectively. In the final multivariable meta-regression, HWs cadre and numbers, appropriateness of study methods, malaria morbidity and mortality, total admissions of malaria suspected cases, gross domestic product, availability of anti-malarial drugs, and year of the publication were explained 85 and 83% of the total variance between studies and potential sources of the heterogeneity for malaria testing and treating, respectively. CONCLUSION: HWs adherence to appropriate malaria case management guidelines were generally low while no study has been found in eliminating countries. Studies with the inappropriateness methods and risk of bias could be overestimating the actual proportion of malaria appropriate testing and treating. Strategies that focus on improving readiness and early identification of acute febrile diseases especially in the countries that progress to malaria elimination should be highly promoted.
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spelling pubmed-85439352021-10-25 Health workers readiness and practice in malaria case detection and appropriate treatment: a meta-analysis and meta-regression Azizi, Hosein Majdzadeh, Reza Ahmadi, Ayat Esmaeili, Elham Davtalab Naghili, Behrouz Mansournia, Mohammad Ali Malar J Research BACKGROUND: Health workers (HWs) appropriate malaria case management includes early detection and prompt treatment with appropriate anti-malarial drugs. Subsequently, HWs readiness and practice are considered authentic evidence to measure the health system performance regarding malaria control programme milestones and to issue malaria elimination certification. There is no comprehensive evidence based on meta-analysis, to measure the performance of HWs in case management of malaria. This study aimed to evaluate HWs performance in early malaria case detection (testing) and the appropriate treatment. METHODS: The published literature in English was systematically searched from Medline, Scopus, Embase, and Malaria Journal up to 30th December 2020. The inclusion criteria were any studies that assessed HWs practice in early case detection by malaria testing and appropriate treatment. Eligibility assessment of records was performed independently in a blinded, standardized way by two reviewers. Pooled prevalence estimates were stratified by HWs cadre type. Meta-regression analysis was performed to explore the impact of the appropriateness of the method and risk of bias as potential sources of the heterogeneity in the presence of effective factors. RESULTS: The study pooled data of 9245 HWs obtained from 15 included studies. No study has been found in eliminating settings. The pooled estimate for appropriate malaria treatment and malaria testing were 60%; 95% CI: 53–67% and 57%; 95% CI: 49–65%, respectively. In the final multivariable meta-regression, HWs cadre and numbers, appropriateness of study methods, malaria morbidity and mortality, total admissions of malaria suspected cases, gross domestic product, availability of anti-malarial drugs, and year of the publication were explained 85 and 83% of the total variance between studies and potential sources of the heterogeneity for malaria testing and treating, respectively. CONCLUSION: HWs adherence to appropriate malaria case management guidelines were generally low while no study has been found in eliminating countries. Studies with the inappropriateness methods and risk of bias could be overestimating the actual proportion of malaria appropriate testing and treating. Strategies that focus on improving readiness and early identification of acute febrile diseases especially in the countries that progress to malaria elimination should be highly promoted. BioMed Central 2021-10-24 /pmc/articles/PMC8543935/ /pubmed/34689791 http://dx.doi.org/10.1186/s12936-021-03954-1 Text en © The Author(s) 2021 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
Azizi, Hosein
Majdzadeh, Reza
Ahmadi, Ayat
Esmaeili, Elham Davtalab
Naghili, Behrouz
Mansournia, Mohammad Ali
Health workers readiness and practice in malaria case detection and appropriate treatment: a meta-analysis and meta-regression
title Health workers readiness and practice in malaria case detection and appropriate treatment: a meta-analysis and meta-regression
title_full Health workers readiness and practice in malaria case detection and appropriate treatment: a meta-analysis and meta-regression
title_fullStr Health workers readiness and practice in malaria case detection and appropriate treatment: a meta-analysis and meta-regression
title_full_unstemmed Health workers readiness and practice in malaria case detection and appropriate treatment: a meta-analysis and meta-regression
title_short Health workers readiness and practice in malaria case detection and appropriate treatment: a meta-analysis and meta-regression
title_sort health workers readiness and practice in malaria case detection and appropriate treatment: a meta-analysis and meta-regression
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8543935/
https://www.ncbi.nlm.nih.gov/pubmed/34689791
http://dx.doi.org/10.1186/s12936-021-03954-1
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