Gdiom Gebreheat
Adherence to COVID-19 preventive measures and associated factors in Ethiopia: A systematic review and meta-analysis
Gebreheat, Gdiom; Paterson, Ruth; Mulugeta, Henok; Teame, Hirut
Abstract
Background: Reluctance to the COVID-19 preventive measures have been repeatedly reported in Ethiopia although compliance with these actions is the key step to minimize the pandemic’s burden. Hence, this systematic review and meta-analysis aims to address the gap in the literature by determining the pooled magnitude of adherence to COVID-19 preventive measures and identifying its associated factors in Ethiopia. Materials and methods: The electronic databases used to search articles were PubMed/MEDLINE, CINAHL, Web of Science, ScienceDirect, Research4Life and other sources of grey literature including Google Scholar and World Health Organization (WHO) database portals for low- and middle-income countries. Full English-language articles published between 2019 and 2022 were eligible for the review and meta-analysis. Relevant data extracted and descriptive summaries of the studies presented in tabular form. The methodological quality of articles assessed using the Joanna Briggs Institute (JBI) quality assessment tool. The pooled magnitude of adherence determined by applying a random-effects model at a 95% CI. Results: Of 1029 records identified, 15 articles were included in the systematic review and 11 were selected for meta-analysis. The pooled estimate of adherence to COVID-19 preventive measures in Ethiopia was 41.15% (95% CI:32.16–50.14%). Furthermore, perceived COVID-19 disease severity (AOR:1.77, 95% CI: (1.40–2.25)), attitude (AOR:1.85, 95% CI: (1.36–2.53)) and knowledge (AOR:2.51, 95% CI: (1.67–3.78)) to COVID-19 preventive measures showed significant association with adherence to COVID-19 preventive measures. Conclusion: The magnitude of adherence to COVID-19 preventive measures in Ethiopia appeared to be low. Therefore, the government of Ethiopia and other stakeholders should mobilize resources to improve the adherence level of the community to the COVID-19 preventive measures and decrease public fatigue.
Citation
Gebreheat, G., Paterson, R., Mulugeta, H., & Teame, H. (2022). Adherence to COVID-19 preventive measures and associated factors in Ethiopia: A systematic review and meta-analysis. PLOS ONE, 17(10), Article e0275320. https://doi.org/10.1371/journal.pone.0275320
Journal Article Type | Article |
---|---|
Acceptance Date | Sep 14, 2022 |
Online Publication Date | Oct 13, 2022 |
Publication Date | 2022 |
Deposit Date | Oct 17, 2022 |
Publicly Available Date | Oct 17, 2022 |
Journal | PLOS ONE |
Print ISSN | 1932-6203 |
Publisher | Public Library of Science |
Peer Reviewed | Peer Reviewed |
Volume | 17 |
Issue | 10 |
Article Number | e0275320 |
DOI | https://doi.org/10.1371/journal.pone.0275320 |
Public URL | http://researchrepository.napier.ac.uk/Output/2933095 |
Files
Adherence to COVID-19 preventive measures and associated factors in Ethiopia: A systematic review and meta-analysis
(2 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
Copyright Statement
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
You might also like
Improvement in out-of-hours outcomes following the implementation of Hospital at Night
(2009)
Journal Article
Supporting practice learning time for non-medical prescribing students: managers’ views
(2016)
Journal Article
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search