| Literature DB >> 35714274 |
Godfred Anakpo1, Syden Mishi1.
Abstract
Vaccine hesitancy is one of the top ten global health threats and the first threat to fighting COVID-19 through vaccination. With the increasing level of COVID-19 vaccine hesitancy amidst the rising level of confirmed cases and death tolls, this paper provides rapid systematic literature reviews on the measurement of COVID-19 vaccine hesitancy, key determinants and evidence-based strategies to prevent COVID-19 vaccine hesitancy. The findings reveal three standard measures of vaccine hesitancy: optional response questions, Likert scale, and linear scale measurements. Factors such as sociodemographic/economic factors, occupational factors, knowledge on the vaccine, vaccine attributes, conspiracy belief and psychological factors are the major predictors of COVID-19 vaccine hesitancy. Evidence-based findings identified measures such as effective education on the vaccine, clear and consistent communication to build public confidence and trust, health education on vaccination and its social benefit, outreach program and targeted messaging to minimize COVID-19 vaccine hesitancy.Entities:
Keywords: COVID-19 vaccine; coronavirus; hesitancy; measurement; predictors; preventive measures; public health; strategies
Mesh:
Substances:
Year: 2022 PMID: 35714274 PMCID: PMC9359354 DOI: 10.1080/21645515.2022.2074716
Source DB: PubMed Journal: Hum Vaccin Immunother ISSN: 2164-5515 Impact factor: 4.526
Figure 1.Prisma flow diagram of study search and selection.
Summary of studies on the COVID-19 vaccine hesitancy: measurement, key predictors, and prevention.
| Study Characteristics | Study methodology | Findings | ||||||
|---|---|---|---|---|---|---|---|---|
| Authors and year | Location/Country | Study aims | Sample | Nature of study | Type of study design | Measurements COVDI-19 Vaccination hesitancy | Predictors of vaccine hesitancy | Strategies/Measures to prevent COVID-19 vaccine hesitancy |
| (Al-Mohaithef & Padhi, 2020)[ | Saudi Arabia | To assess the prevalence of the acceptance of COVID-19 vaccine and their determinants among people in Saudi Arabia | 992 | Qualitative and quantitative study | Survey design | Willingness to take the vaccine with the following response options, | Willingness to accept the future COVID-19 vaccination rates are quite high among older age groups, who are married participants with a postgraduate degree or above and work in the government sector. | To promote COVID-19 vaccination, it is necessary to address sociodemographic factors associated with the vaccination and implement targeted health education programs. |
| (Callaghan et al., 2020)[ | USA | To understand the correlates of COVID-19 vaccine hesitancy in the American public and the reasons why individuals intend to refuse to a COVID-19 vaccine | 5009 | Qualitative and quantitative | Survey design | Willingness to take the vaccine with binary response options: Yes/no. | women, conservatives, those see vaccines | Design health message targeted at hesitant group. |
| (Campo-Arias & Pedrozo-Pupo, 2021)[ | USA | The study aimed to know the frequency and variables associated with COVID-19 vaccine distrust in students of a Colombian university | 1,136 | Qualitative and quantitative study | Survey design | Likert scale with four point on trust in COVID-19 vaccine: “strongly disagree,” “disagree,” “agree,” and “strongly agree,” which are scored from 0 to 3. | Colombian university students have a significant level of distrust in the COVID-19 vaccination. The COVID-19 vaccine distrust is related to non-health science carriers, rural residents, low-income, and low- perceived stress related to COVID-19. | The COVID-19-related health literacy and education should be improved in students of university considering socio-cultural background. |
| (Detoc et al., 2020)[ | France | To determine the proportion of people who intend to get vaccinated against COVID-19 in France or to participate in a vaccine clinical trial | 2512+ | Qualitative and quantitative | Survey design | Willingness to take the vaccine with the following options; Yes, certainly/ yes, possibly/I don’t know/No, possibly/ Definitely no. | Men, older, | Vaccine hesitancy will be the major barrier to COVID- 19 vaccine uptake and therefore must be addressed through education. |
| (Dickerson | UK | The study aims to understand COVID-19 vaccine hesitancy in an ethnically diverse and deprived population | 535 | Qualitative | Survey design | Options from the following list were used to measure the vaccination hesitancy: I have not yet thought about it, I am not yet sure about it, I have decided I do want it, I have decided I do not want it. | Confusion, distrust and distress caused by prevalent misinformation was a main cause of this high vaccine hesitancy. | Effective and equitable roll out of the vaccination program requires careful, empathetic messaging, targeting those whom it will benefit the most, and a multi-organizational approach to address issues of distrust. |
| (Dror et al., 2020)[ | Israel | To evaluate current vaccination compliance rates among Israeli populations | 1941 | Qualitative and quantitative analysis | Survey | Questions such as whether one was willing to be vaccinated against COVID-19 with binary response (Yes/No). | Type of occupational factors such as healthcare providers dealing with COVID-19 patience are less hesitant. | Interventional educational campaigns targeted toward populations at risk of vaccine hesitancy. |
| (Earnshaw et al., 2020)[ | USA | To explore associations between COVID-19 conspiracy beliefs with SARS-CoV-2 vaccine intention and investigate trusted sources of COVID-19 | 854 | Qualitative and quantitative | Survey design | Likert scale with 5 points on the likelihood to be vaccinated; Very likely/ somewhat likely/ likely/ unlikely/ | Women, less educated and, conspiracy belief are less likely to be vaccinated. | Addressing COVID-19 conspiracy beliefs, including via strategies that leverage trusted sources of COVID-19 information (e.g., doctors), may promote the uptake of COVID-19 vaccines when they become available, as well as support for. |
| (Fisher et al., 2020)[ | USA | To assess intent to be vaccinated against COVID-19 among a representative sample of adults in the United States | 1000 | Qualitative and quantitative | Survey design | Willingness to take the vaccine with the following response options: Yes/not sure/no. | Less likely: younger, female, Black/Hispanic, lower income/edu, larger household, rural, not had | Targeted and multipronged efforts will be needed to increase acceptance of a COVID-19 vaccine when one becomes available. |
| (Graffigna et al., 2020)[ | Italy | To understand how adult citizens’ health engagement, perceived COVID-19 susceptibility and severity, and general vaccine-related attitudes affect the willingness to vaccinate against COVID-19 | 1004 | Qualitative and quantitative analysis | Survey design | Willingness to vaccinate against COVID-19 was measured with Likert scale with 5 points, where 1 is low probability to vaccinate and 5 is high probability to vaccine). | Health engagement is positively related to the intention to vaccinate. | Implementation of educational campaigns aimed at sustaining future vaccination programs that also include health engagement promotion. |
| (Khubchandani et al., 2021)[ | USA | To assess COVID-19 vaccine hesitancy in a community-based sample of the American adult population | 1878 | Qualitative and quantitative analysis | Survey | Likert scale with 4-points on how likely one is to be vaccinated; very likely, somewhat likely, not likely, definitely not. | Vaccine hesitancy was predicted significantly by sex, education, employment, income, having children at home, political affiliation, and the perceived threat of getting infected with COVID-19 in the next 1 year. | Evidence-based communication, mass media strategy. |
| (Kreps et al., 2020)[ | USA | To examine the factors associated with survey participants’ self-reported likelihood of selecting and receiving a hypothetical COVID-19 vaccine | 1971 | Qualitative and quantitative | Survey | Respondents were presented with 5 choice tasks to indicate how | The attribute of the vaccine such as increased efficacy and protection duration, | Public health authorities might consider outreach strategies that address the specific concerns of older adults and minority communities that have been more susceptible to COVID-19 |
| (Lackner & Wang, 2020)[ | Canada | To investigate the demographic, experiential, and psychological factors associated with the anticipated likelihood of vaccination | 1313 | Qualitative and quantitative research analysis | Exploratory study | A scale ranging from 1 to 100, on how likely they and their children would be to receive a COVID-19 vaccination. | Demographic, experiential, and psychological predictors were related to | Targeted messaging campaigns for each unique context |
| (Lazarus et al., 2021)[ | Global (19 countries) | To determine the potential acceptance rates and factors influencing acceptance of a COVID-19 vaccine | 13,426 | Qualitative analysis | Survey | Questions with binary response such as whether one was willing to be vaccinated against COVID-19. | Respondents reporting higher levels of trust in information from government sources were more likely to accept a vaccine and take their employer’s advice to do so. | Clear and consistent communication by government officials to build public confidence. This includes explaining how vaccines work, effectiveness, protection as well as how they are developed, from recruitment to regulatory approval based on safety and efficacy. |
| (Lin et al., 2021)[ | Global | To compare trends and synthesized findings in vaccination receptivity over time | 126 | Systematic literature review | Survey ofrelated literature for systematic review | Combination of binary response and Likert scale with different points. | Perceived risk concerns over vaccine safety and effectiveness, doctors’ recommendations, and inoculation history were common factors. Impacts of regional infection rates, gender, and personal COVID-19 experience were inconclusive. Unique COVID-19 factors included political party orientation, doubts toward expedited development/approval process, and perceived political interference. | Communication campaigns are immediately needed, focusing on transparency and restoring trust in health authorities. |
| (Neumann-Böhme et al., 2020)[ | Seven European countries | To investigate the willingness to be vaccinated | 7662 | Qualitative analysis | survey | Questions with binary response such as whether one was willing to be vaccinated against COVID-19. | Fear of side effect, and safety, gender (more female fear than the male). | Convincing evidence and clear communication on the safety and effectiveness and benefit of the vaccine. |
| (Olomofe et al., 2021)[ | Nigeria | To understand the factors that may influence the uptake of COVID-19 vaccines | 776 | Quantitative study | Survey | Willingness to take the vaccine with the following response options: | Socio-demographic variables such as gender and religion, knowledge on the vaccine, perception significantly predict vaccine hesitancy. | There is a need for public enlightenment aimed at encouraging those that are indecisive or averse to receiving COVID- 19 vaccines. |
| (Paul et al., 2021)[ | UK | To provide understanding of attitudes toward vaccines and factors determining vaccine intent in the context of the COVID-19 pandemic | 32,361 | Quantitative study | Cross-sectional survey design | Willingness to be vaccinated against COVID-19 | Low knowledge | Public health campaigns aimed at increasing COVID-19 vaccine uptake should focus on educating and increasing trust in both those who are uncertain and those who are unwilling on the safety, efficacy, and side effect profile of vaccines. |
| (Pivetti et al., 2021)[ | Italy | This paper explores the role played by antecedents of COVID-related conspiracy beliefs | 590 | Quantitative | Survey design | Four items measured the attitudes toward | Endorsing purity values predicted stronger negative attitude toward COVID-vaccines. Moreover, conspiracy beliefs negatively predicted general attitudes toward vaccines. | Spreading convincing evidence and clear communication on the safety and effectiveness of vaccines. |
| (Robinson et al., 2021)[ | Global | To examine the percentage of the population intending to vaccinate, unsure, or intending to refuse a COVID-19 vaccine when available | 58,656 | Systematic literature review | Survey ofrelated literature for systematic review | Willingness to take the vaccine or how likely to take the vaccine with the following response options, | Being female, younger, of lower income or education level and belonging to an ethnic minority group were consistently associated with being less likely to intend to vaccinate. | Addressing social inequalities in vaccine hesitancy and promote widespread uptake of vaccine. |
| (Romer & Jamieson, 2020)[ | USA | To test if accepting conspiracy theories that were circulating in mainstream and social media early in the COVID-19 pandemic in the US would be negatively related to the uptake of preventive behaviors and also of vaccination when a vaccine becomes available | 1050 | Qualitative and quantitative | Survey design | Likert scale with 5 points on the willingness to vaccinate: Very likely/likely/ not likely/not at all likely. | Belief in three COVID-19-related conspiracy theories was highly stable across the two periods and inversely related to the (a) perceived threat of the pandemic, (b) taking of preventive actions, including wearing a face mask, (c) perceived safety of vaccination, and (d) intention to be vaccinated against COVID-19. Mainstream television news use predicted adopting both preventive actions and vaccination. | continued messaging by public health authorities on mainstream media and in particular on politically conservative outlets that have supported COVID-related conspiracy theories. |
| (Shekhar et al., 2021)[ | USA | To assess the attitude of healthcare workers (HCWs) toward COVID-19 vaccination | 3479 | Qualitative and quantitative | Survey design | Willingness to take the vaccine with the following response options: | Vaccine acceptance increased with increasing age, education, and income level. Direct medical care providers had higher vaccine acceptance. | Addressing barriers to vaccination among these groups will be essential to avoid exacerbating health inequities laid bare by this pandemic. |
| (Thunstrom et al., 2020)[ | USA | To measure the share of | 3,133 | Qualitative and quantitative | Experimental design | Participants were asked to indicate WOULD get vaccinated or WOULD NOT get vaccinated, | Distrust of vaccine safety, inconsistent risk messages from public health experts and elected officials and vaccine novelty are among the most important deterrents to vaccination. | Tailored public communication programs designed to persuade vaccine hesitant individuals to accept a COVID-19 vaccine, or increased efforts to ensure a high vaccine uptake level among the remainder of the population, or both. |
| (Wang-Jing et al., 2020)[ | China | To evaluate the acceptance of COVID-19 vaccination in China and give suggestions for vaccination strategies and immunization programs accordingly | 2058 | Qualitative and quantitative | Survey design | Willingness to take the vaccine with the following response options: | Among respondents who accepted vaccination, the following major characteristics influenced their acceptance: gender, marital status, risk perception, influenza vaccination history, confidence in the effectiveness of the COVID-19 vaccine, respecting physician advice, and vaccination. convenience or vaccine price. | Immunization programs should be structured to eliminate financial and logistical obstacles to vaccination, and health education and communication from authoritative sources are critical tools for assuaging public concerns about vaccine safety. |
| (Wang -Lai et al., 2020)[ | China | To examine impact of the coronavirus disease 2019 (COVID-19) pandemic on change of influenza vaccination acceptance and identify factors associated with acceptance of potential COVID-19 vaccination. | 806+ | Qualitative and quantitative | Survey design | Willingness to take the vaccine with the following response options: Intend to accept/ | Nurses were more likely to be vaccinated. “suspicion on efficacy, effectiveness and safety” predict vaccination hesitancy. | With low acceptance intentions for COVID-19 and a high degree of hesitancy for both influenza and COVID-19 vaccination, evidence-based planning is required to increase uptake of both vaccines prior to their deployment. |