Health workers readiness and practice in malaria case detection and appropriate treatment: a meta-analysis and meta-regression
Abstract 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 contr...
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ftdoajarticles:oai:doaj.org/article:5409d8bd29654a42a2767a04fab17582 2023-05-15T15:16:35+02:00 Health workers readiness and practice in malaria case detection and appropriate treatment: a meta-analysis and meta-regression Hosein Azizi Reza Majdzadeh Ayat Ahmadi Elham Davtalab Esmaeili Behrouz Naghili Mohammad Ali Mansournia 2021-10-01T00:00:00Z https://doi.org/10.1186/s12936-021-03954-1 https://doaj.org/article/5409d8bd29654a42a2767a04fab17582 EN eng BMC https://doi.org/10.1186/s12936-021-03954-1 https://doaj.org/toc/1475-2875 doi:10.1186/s12936-021-03954-1 1475-2875 https://doaj.org/article/5409d8bd29654a42a2767a04fab17582 Malaria Journal, Vol 20, Iss 1, Pp 1-12 (2021) Health worker Malaria Appropriate treatment Practice Meta-regression Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2021 ftdoajarticles https://doi.org/10.1186/s12936-021-03954-1 2022-12-31T12:54:58Z Abstract 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 ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Malaria Journal 20 1 |
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Directory of Open Access Journals: DOAJ Articles |
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ftdoajarticles |
language |
English |
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Health worker Malaria Appropriate treatment Practice Meta-regression Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
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Health worker Malaria Appropriate treatment Practice Meta-regression Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 Hosein Azizi Reza Majdzadeh Ayat Ahmadi Elham Davtalab Esmaeili Behrouz Naghili Mohammad Ali Mansournia Health workers readiness and practice in malaria case detection and appropriate treatment: a meta-analysis and meta-regression |
topic_facet |
Health worker Malaria Appropriate treatment Practice Meta-regression Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
description |
Abstract 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 ... |
format |
Article in Journal/Newspaper |
author |
Hosein Azizi Reza Majdzadeh Ayat Ahmadi Elham Davtalab Esmaeili Behrouz Naghili Mohammad Ali Mansournia |
author_facet |
Hosein Azizi Reza Majdzadeh Ayat Ahmadi Elham Davtalab Esmaeili Behrouz Naghili Mohammad Ali Mansournia |
author_sort |
Hosein Azizi |
title |
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_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_sort |
health workers readiness and practice in malaria case detection and appropriate treatment: a meta-analysis and meta-regression |
publisher |
BMC |
publishDate |
2021 |
url |
https://doi.org/10.1186/s12936-021-03954-1 https://doaj.org/article/5409d8bd29654a42a2767a04fab17582 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Malaria Journal, Vol 20, Iss 1, Pp 1-12 (2021) |
op_relation |
https://doi.org/10.1186/s12936-021-03954-1 https://doaj.org/toc/1475-2875 doi:10.1186/s12936-021-03954-1 1475-2875 https://doaj.org/article/5409d8bd29654a42a2767a04fab17582 |
op_doi |
https://doi.org/10.1186/s12936-021-03954-1 |
container_title |
Malaria Journal |
container_volume |
20 |
container_issue |
1 |
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1766346884218093568 |