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Methodology of comparative studies on the relative effectiveness of COVID-19 vaccines: a systematic review

Authors :
Erdenetuya Bolormaa
Jiae Shim
Young-Sook Choi
Donghyok Kwon
Young June Choe
Seung-Ah Choe
Source :
Osong Public Health and Research Perspectives, Vol 15, Iss 5, Pp 395-408 (2024)
Publication Year :
2024
Publisher :
Korea Disease Control and Prevention Agency, 2024.

Abstract

Objectives This study aimed to comprehensively outline the methodological approaches used in published research comparing the vaccine effectiveness (VE) of coronavirus disease 2019 (COVID-19) vaccines. Methods A systematic search was conducted on June 13, 2024, to identify comparative studies evaluating the effectiveness of mRNA versus non-mRNA and monovalent versus bivalent COVID-19 vaccines. We screened titles, abstracts, and full texts, collecting data on publication year, country, sample size, study population composition, study design, VE estimates, outcomes, and covariates. Studies that reported relative VE (rVE) were analyzed separately from those that did not. Results We identified 25 articles comparing rVE between mRNA and non-mRNA COVID-19 vaccines, as well as between monovalent and bivalent formulations. Among the studies assessing VE by vaccine type, 126 did not provide rVE estimates. Comparative VE studies frequently employed retrospective cohort designs. Among the definitions of rVE used, the most common were hazard ratio and absolute VE, calculated as (1−odds ratio)×100. Studies were most frequently conducted in the United Kingdom and the United States, and the most common outcome was infection. Most targeted the general population and assessed the VE of mRNA vaccines using the AstraZeneca vaccine as a reference. A small proportion, 7.3% (n=11), did not adjust for any variables. Only 3 studies (2.0%) adjusted for all core confounding variables recommended by the World Health Organization. Conclusion Few comparative studies of COVID-19 vaccines have incorporated rVE methodologies. Reporting rVE and employing a consistent set of covariates can broaden our understanding of COVID-19 vaccines.

Details

Language :
English
ISSN :
22336052
Volume :
15
Issue :
5
Database :
Directory of Open Access Journals
Journal :
Osong Public Health and Research Perspectives
Publication Type :
Academic Journal
Accession number :
edsdoj.56609a169e84547aba6b1b4406c0d67
Document Type :
article
Full Text :
https://doi.org/10.24171/j.phrp.2024.0063