| Literature DB >> 35110204 |
Alperen Ergün, Ayşegül Bekar, Bedran Aras, Canan Dere, Doğukan Tekneci, Gamze Sarıçiçek, Selin Naz Akdere, Semi Telli, Şamil Berkay Pehlivanlı, Deren Özyurek Ucael1, Mustafa Enes Özden1, Ercüment Altıntaş1, Dilek Aslan1.
Abstract
OBJECTIVE: Publications on vaccine hesitancy and the novel coronavirus disease 2019 in the scientific literature are increasing every day. An examination of their content will help to eliminate the existing negativity related to vaccine hesitancy through scientific methods. Hence, a systematic approach to the prevention of vaccine hesitancy worldwide can be developed. This article aims to survey how vaccine hesitancy is addressed in the PubMed articles about "vaccine hesitancy" over the novel coronavirus disease, for which the MeSH criteria have been published; to understand their recommendations for the prevention of vaccine hesitancy; to evaluate any related research described as "cross-sectional," "case-control," and "cohort" according to Strengthening the Reporting of Observational Studies in Epidemiology criteria; and to contribute to the current literature on the subject.Entities:
Year: 2022 PMID: 35110204 PMCID: PMC9450048 DOI: 10.5152/TurkThoracJ.2022.21082
Source DB: PubMed Journal: Turk Thorac J ISSN: 2148-7197
Figure 1.Flowchart of the study.
Article Categories Within the Journal (PubMed, January 18, 2021; Time: 23:20 Hours)
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| Original Article | 44 | 55 |
| Commentary | 15 | 18.7 |
| Review | 7 | 8.7 |
| Editorial | 4 | 5 |
| Short Report | 2 | 2.5 |
| Viewpoint | 2 | 2.5 |
| Analysis | 1 | 1.2 |
| News | 1 | 1.3 |
| Practice Guidelines | 1 | 1.3 |
| Letter to the Editor | 1 | 1.3 |
| Perspective | 1 | 1.3 |
| Essay | 1 | 1.2 |
| Total | 80 | 100 |
Research Articles by Study Types (PubMed, January 18, 2021; Time: 23:20 Hours)
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| Not a research article | 32 | 40 |
| Descriptive | 29 | 36.3 |
| Cross-sectional | 14 | 17.5 |
| Intervention (education, training, medicine, rehabilitation, behavior) | 3 | 3.7 |
| Systematic review | 2 | 2.5 |
| Total | 80 | 100 |
The Inclusion of Vaccine Hesitancy-Related Issues in the Articles (PubMed, January 18, 2021; Time: 23:20 Hours)
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| Reasons for vaccine hesitancy | 65 | 81.3 |
| Status of vaccine hesitancy | 64 | 80.0 |
| Prevention of vaccine hesitancy | 57 | 71.3 |
The Features of Articles According to STROBE Checklist (PubMed, January 18, 2021; Time: 23:20 Hours)
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| Title and abstract | 1 | ||||
| A | Indicate the study’s design with a commonly used term in the title or the abstract. | 14 | |||
| B | Provide in the abstract an informative and balanced summary of what was done and what was found. | 14 | |||
| Introduction | |||||
| Background/rationale | 2 | Explain the scientific background and rationale for the investigation being reported. | 14 | ||
| Objectives | 3 | State the specific objectives, including any pre-specified hypotheses. | 12 | 1 | 1 |
| Methods | |||||
| Study design | 4 | Present key elements of study design early in the paper. | 14 | ||
| Setting | 5 | Describe the setting, locations, and relevant dates, including periods of recruitment, exposure, follow-up, and data collection. | 13 | 1 | |
| Participants | 6 | ||||
| A |
| 12 (cross-sectional study) | 2 (1 cross-sectional and 1 case control) | ||
| B |
| 1 (case control) | |||
| Variables | 7 | Clearly define all outcomes, exposures, predictors, potential confounders, and effect modifiers. Give diagnostic criteria, if applicable. | 8 | 3 | 3 |
| Data sources/Measurement | 8 | For each variable of interest, give sources of data and details of methods of assessment (measurement). Describe comparability of assessment methods if there is more than one group. | 13 | 1 | |
| Bias | 9 | Describe any efforts to address potential sources of bias. | 9 | 4 | 1 |
| Study size | 10 | Explain how the study size was arrived at. | 9 | 5 | |
| Quantitative variables | 11 | Explain how quantitative variables were handled in the analyses. If applicable, describe which groupings were chosen and why. | 10 | 2 | 2 |
| Statistical methods | 12 | ||||
| A | Describe all statistical methods, including those used to control for confounding. | 9 | 2 | 3 | |
| B | Describe any methods used to examine subgroups and interactions. | 7 | 3 | 4 | |
| C | Explain how missing data were addressed. | 2 | 7 | 5 | |
| D |
| 11 | 1 | 2 | |
| E | Describe any sensitivity analyses | 2 | 5 | 7 | |
| Results | |||||
| Participants | 13 | ||||
| A | Report numbers of individuals at each stage of study-e.g., numbers potentially eligible, examined for eligibility, confirmed eligible, included in the study, completing follow-up, and analyzed. | 8 | 6 | ||
| B | Give reasons for non-participation at each stage. | 4 | 10 | ||
| C | Consider use of a flow diagram | 2 | 11 | 1 | |
| Descriptive data | 14 | ||||
| A | Give characteristics of study participants (e.g., demographic, clinical, social) and information on exposures and potential confounders. | 11 | 3 | ||
| B | Indicate number of participants with missing data for each variable of interest. | 5 | 9 | ||
| C |
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| Outcome data | 15 | ||||
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| 14 | ||||
| Main results | 16 | ||||
| A | Give unadjusted estimates and, if applicable, confounder-adjusted estimates and their precision (e.g., 95% CI). Make clear which confounders were adjusted for and why they were included. | 13 | 1 | ||
| B | Report category boundaries when continuous variables were categorized. | 6 | 3 | 5 | |
| C | If relevant, consider translating estimates of relative risk into absolute risk for a meaningful time period. | 6 | 8 | ||
| Other analyses | 17 | Report other analyses done-e.g., analyses of subgroups and interactions, and sensitivity analyses. | 5 | 5 | 4 |
| Discussion | |||||
| Key results | 18 | Summarize key results with reference to study objectives. | 13 | 1 | |
| Limitations | 19 | Discuss limitations of the study, taking into account sources of potential bias or imprecision. Discuss both direction and magnitude of any potential bias. | 12 | 2 | |
| Interpretation | 20 | Give a cautious overall interpretation of results considering objectives, limitations, multiplicity of analyses, results from similar studies, and other relevant evidence. | 13 | 1 | |
| Generalizability | 21 | Discuss the generalizability (external validity) of the study results. | 12 | 2 | |
| Other information | |||||
| Funding | 22 | Give the source of funding and the role of the funders for the present study and, if applicable, for the original study on which the present article is based. | 9 | 5 |
Basic Information About the Articles Reviewed in the Scope of the STROBE Checklist (PubMed, January 18, 2021 at 23:20 Hours)
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| Unroe KT et al 2020144 | Cross-sectional | Indiana, USA | 23 232 medical personnel were targeted. 8 243 people responded to the survey. | Of the respondents, 87% are female and 13% are male. | The aim is to group the medical personnel working in Indiana according to age, gender, origin, duty/assignment in nursing home, whether they have previously been infected or not and to conduct a survey on willingness to receive the COVID 19 vaccine. | Of the respondents, 45% stated that they would get the vaccine once it was publicly available, 44% said that they might be vaccinated in the future. Besides, a rate of 69% has appeared for those willing to get vaccination. | When deciding to get the COVID-19 vaccine, the medical staff weigh both the possible risks if any for the residents they examine, and their personal beliefs and concerns. With special trainings for health personnel and outreach efforts, the existing concern and hesitancy should be reduced. |
| Sherman SM et al 2020138 | Cross-sectional | UK | 1500 people over 18 years old were targeted. A total of 1494 people responded to the survey. | The average age of the respondents is 46. 51% of the respondents are female and 49% are male. | The aim of the study is to discuss the relationship between sociodemographic factors, the respondent’s intention of vaccination and her/his previous influenza vaccinations in a demographically representative sample of adult population in the UK. | Of the respondents, 64% are highly likely to get vaccination against COVID-19, 27% are unsure, and 9% are very unlikely to get vaccination. The study reports the influence of personal characteristics on the thoughts and beliefs against the influenza vaccine and vaccination in general. | Since the research conducted on 1500 people has been completed during the current pandemic, more extensive vaccination intent studies should be carried out in later. |
| Wang K et al 202092 | Cross-sectional | Hong Kong, China | Nurses working in public or private service institutions, in inpatient or outpatient services, or outreach services were found eligible for this study. A total of 856 nurses filled out the online survey. | 87.5% of the participants are women and 12.5% are men. The average age is not indicated. | The study investigated the impact of the COVID-19 pandemic on the change in influenza vaccine acceptance, and the factors associated with the acceptance of the potential COVID-19 vaccination. | 40% of the nurses intend to accept COVID-19 vaccination. The intentions to accept COVID-19 vaccination are higher among men, patients with chronic diseases, employees in private service delivery, those who have met suspected or confirmed COVID-19 patients, and those who accepted seasonal influenza vaccination in 2019. On the other hand, nurses who accepted the influenza vaccine in 2019 are less likely to refuse the COVID-19 vaccine this year. | With low levels of COVID-19 acceptance intentions and high hesitancy over both influenza and COVID-19 vaccination, an evidence-based planning is needed for improving the uptake of both vaccines before administration. |
| Taylor S et al 202098 | Cross-sectional | USA, Canada | The target group consists of American and Canadian adults. | A total of 43% of the sample are female, 57% are male. The average age of the sample is 53. | Objectives of the study: | In response to the question of whether participants would be vaccinated against SARS-COV2 when a vaccine became publicly available, 25% of Americans and 20% of Canadians said “no.” Significantly more Americans than Canadians said they would not be vaccinated. The greatest correlation is between the “no” answer to the vaccine and the distrust in the SARS-COV2 vaccine’s potential benefits. | To maximize vaccine intake, health officials should assure the public that they have strictly followed all predetermined guidelines for developing vaccines and the vaccine development process has not been haphazard. |
| M, et al 2020119 | Cross-sectional | Saudi Arabia | The target group included people living in major cities of Saudi Arabia (Riyadh, Dammam, Jeddah, Abha), and other small cities. 992 people participated in the study. | Of the participants, 65.8% are female and 34.2% are male. The average age is not indicated. | The study aims to evaluate the prevalence and determinants of COVID-19 vaccine acceptance among people in Saudi Arabia. | Of the respondents, 642 showed interest in accepting the COVID-19 vaccine. The request to accept future COVID-19 vaccination is higher among the participants who are seniors, married, holders of master’s or higher educational degrees (68.8%), non-Saudis (69.1%), and government sector employees (68.9%). | Addressing sociodemographic determinants of COVID-19 vaccination can help increase the uptake of the global vaccination program to overcome future outbreaks. It is important to provide health trainings for the implementation of the targeted COVID-19 vaccine program. |
| Kwok KO et al 2020120 | Cross-sectional | Hong Kong, China | In cooperation with the Hong Kong Nursing Personnel Association, the members of this association (registered nurses, nursing interns working in public or private medical facilities) were included in the survey. | The average age of the sample is 40.79. Of the participants, 90% are female and 10% are male. | The aim of the study is to predict the influenza vaccination behaviors of nurses and their intentions to have COVID-19 vaccination when available, and to examine the 5C psychological precursors impacting their intentions (e.g., trust, peace of mind, restrictions, calculation and collective responsibility). | The influenza vaccine intake rate and the rate of those who agree to get COVID-19 vaccine are 49% and 63%, respectively. Influenza vaccination is associated with working in public hospitals and having all 5C structures, while stronger intention to be vaccinated for COVID-19 is related to younger age and higher trust. The rate of COVID-19 vaccination among nurses is insufficient to ensure herd immunity. | Health officials should organize a vaccination program for nurses, especially elderly nurses, to get COVID-19 vaccination. When implementing a nationwide vaccination program, greater emphasis should be placed on psychological elements. The health safety of health care practitioners, the most valuable resource for every country, must be guaranteed in the COVID-19 pandemic. |
| Sallam M et al 2021149 | Cross-sectional | Jordan and Kuwait | The online survey targeted people over 16 years of age speaking Arabic and residing in Jordan and those living in other Arabic-speaking countries. 3414 people participated in the survey. | The proportion of female respondents is 67.3%, the proportion of male respondents is 32.7%. The average age of the respondents is 31. | The survey aims to evaluate society’s attitude towards possible COVID-19 vaccinations in Jordan, Kuwait, and other Arab countries. Furthermore, it analyzes the relationship between COVID-19 vaccine adoption and beliefs of conspiracy. | Of the respondents, 29.4% accepted the vaccine. The vaccine acceptance rates among men and women are 38.2% and 27.4% respectively. | Associating conspiracy beliefs about possible vaccinations and the origin of the virus with vaccine hesitancy should be stimulating, and politicians, governments and different media should warn their platforms about the harmful effects of the spread of misinformation. |
| Barello S et al 2020106 | Cross-sectional | Italy | The target group included Italian university students. 1152 students were contacted for the survey. The number of interviewee students is 934. | Of the respondents, 79.6% are female and 20.4% are male. The average age of the respondents is 23.6. | The study aims to evaluate students’ attitudes towards possible COVID-19 vaccination and the impact of university curriculum on vaccination demand. | Of the 735 students interviewed, 633 (86.1%) would prefer to be vaccinated, while 102 students (13.9%) were unsure or did reject. In this sample, more than 1one out of 10 students showed hesitancy/rejection for the possible COVID-19 vaccination. | The design of multidisciplinary training strategies through inclusion of psychosocial factors that cause vaccine hesitancy can be helpful in supporting students’ perspective on COVID-19 vaccine, health participation, and awareness. |
| Goldman RD et al 2020115 | Cross-sectional | USA, Canada, Israel, Japan, Spain, Switzerland | The survey was conducted with 1552 parents | The median age was 39.9. The gender ratio of the respondents is not indicated. | The article aims to understand whether parents want their children to get the COVID-19 vaccine or not. | Of the parents surveyed, 65.2% said they were planning to vaccinate their children, 33% stated they would not vaccinate their children. | A close look at parents’ reaction to a newly released vaccine and their reflections on the vaccination of their children may help us understand the underlying reason of vaccine hesitancy. |
| Gagneux-Brunon et al 2020124 | Cross-sectional | France | The target group consisted of French health practitioners. A total of 2047 people responded to the survey; 1421 people participated in the online survey from 626 sites. | Of the participants, 74% were female and 26% were male. The average age is not indicated. | The study aims to investigate the acceptability of COVID-19 and influenza vaccines by French health practitioners and identify the underlying causes of acceptance/hesitancy. | The rate of vaccine hesitancy was identified as 25.9%. Of the respondents, 48.1% expressed fears about the COVID-19 vaccine. Doctors (92.1%) and pharmacists (88.8%) agreed to be vaccinated at a higher rate, while the rate of acceptance was lower among nurses (64.7%). | If the rate of influenza is reduced by influenza vaccinations, COVID-19 tests will not be performed unnecessarily. In consideration of the hesitancies over both vaccines, the right path should be followed in the fight against vaccination. |
| Sun, S. et al 2020125 | Cross-sectional | China | The target group are university students in China. A total of 1992 people participated in the survey. | The average age of participants is 20.38. | The study aims to investigate the willingness of Chinese university students to participate in vaccine experiments with the rapid development of COVID-19 vaccines. | Most respondents (64%) stated that they were willing to be vaccinated. Their concern about the vaccine is described in the following words: “Its side effects include disability, death, and COVID-19 infection.” The existence of a pre-vaccination consent form constitutes the most important negative effect on vaccine willingness. | Vaccine acceptance may increase if the forms of consent are clear and understandable. Participants should be clearly told about both risks and benefits they will have when they are vaccinated. |
| Olagoke AA et al 2020145 | Cross-sectional | America | The target group consists of individuals over 18 years of age residing in America. A total of 501 people participated in the survey. | Of the participants, 55.29% were female and 44.71% were male. The average age of the participants was 32.44 ± 11.94. | The aim of the study was to determine whether there is a relationship between piety and the intention to vaccinate against COVID-19 and to examine the role of health control focus (HLOC) in this relationship. | The study found a significantly negative relationship between piety and the intention to vaccinate against COVID-19. It was further observed that this relationship was partly mediated by the focus of external health control. | Religious leaders should consider educating their members on the need to take responsibility for their health. While scientists are struggling to develop a COVID-19 vaccine, it must establish a strong partnership with religious institutions through their leaders. This working relationship should be based on the transparency of ongoing vaccine development processes. |
| Lin Y et al 2020114 | Cross-sectional | China | The participants are over 18 and literate, hold Chinese citizenship, and volunteer to work. | 51.9% of the participants are female and 48.1% are male. The average age is not indicated. | The purpose of the article is to understand the vaccine hesitancy and demand for vaccination, to investigate the willingness to pay for vaccine. At the same time, it aims to compare locally produced and imported vaccines from the public eye. | 83.5% of the respondents stated their intention to vaccinate, and 28.7% notified a definite intention. The perceived benefits have a strong and positive effect on the intention of vaccination. High prices that can be paid for vaccination are associated with a higher socioeconomic status. The majority stated to rely on the locally produced COVID-19 vaccine. Approximately two-thirds of the participants stated that they preferred domestic productions over foreign-produced COVID-19 vaccines. | Public health intervention programs should focus on improving humanity’s perception of the benefits of COVID-19 vaccination. Clinical evidence of the safety and efficacy of COVID-19 vaccines is necessary for increasing vaccine coverage rates. Reducing inequalities in access to COVID-19 vaccines is crucial for financial reasons. |
| Reiter PL et al 202082 | Cross-sectional | USA | The target group consists of individuals over 18 years of age residing in the USA. | Of the participants, 43% are male and 57% are female. The average age is not indicated. | The aim is to investigate the acceptability of the potential COVID-19 vaccine in the USA based on a sample designed by interviewing a group of individuals over 18 years of age. | The study found that vaccine acceptability might vary according to the key role played by healthcare providers, and their health beliefs. | It is recommended to ensure the encouragement of the individuals who are unstable and opposed to vaccination through the affected factors that may be changed. |