Table 2.
Previous similar or related systematic reviews on predictors of vaccine hesitancy/acceptance.
| Previous Identified Similar/Related Reviews | Covered Timeframe and Inclusion/Exclusion Criteria; Keywords and Number of Selected Studies | Main Findings and Conclusions |
|---|---|---|
| (Wang et al., 2021) [19] A systematic review and meta-analysis | Beginning of pandemic up to 4 November 2020 Inclusion criteria: The types of included studies were not limited. Studies that did not involve COVID-19 vaccine acceptance or did not provide specific survey numbers for pooling were excluded. Keywords: “COVID-19” OR “SARS-CoV-2” OR “novel coronavirus” OR “coronavirus disease 2019” AND “vaccin *” OR “immunization”, with (*) being used to automatically screen similar/derived words. Number of selected studies: 38 |
The stronger predictors of COVID-19 vaccination willingness were gender, educational level, influenza vaccination history and trust in the government. |
| (Roy et al., 2022) [20] Systematic review |
Beginning of pandemic up to July 2021 Inclusion criteria: (1) peer-reviewed published articles from electronic databases including PubMed (MEDLINE), Elsevier, Embase, Science Direct, Scopus and other reputable resources; (2) survey studies involving all types of sample populations; (3) the scope and principal aim of the study was to identify the potential factors influencing COVID-19 vaccine acceptance and hesitancy; (4) publication studies in the English language. Keywords: “COVID-19 vaccine hesitancy” OR “COVID-19 vaccine hesitancy and associated factors” OR “COVID-19 vaccine confidence” OR “COVID-19 vaccine AND acceptance intention”. Number of selected studies: 47 |
The most common predictors of vaccine acceptance were as follows: safety, efficacy, side effects, effectiveness and conspiracy beliefs (Asian countries); side effects, trust in vaccine and social influence (Europe) and information sufficiency, political roles and vaccine mandates (United States). |
* is a bolean operator used in some browsers to automatically screen for related/derived words.