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      Health Belief Model Perspective on the Control of COVID-19 Vaccine Hesitancy and the Promotion of Vaccination in China: Web-Based Cross-sectional Study

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          Abstract

          Background

          The control of vaccine hesitancy and the promotion of vaccination are key protective measures against COVID-19.

          Objective

          This study assesses the prevalence of vaccine hesitancy and the vaccination rate and examines the association between factors of the health belief model (HBM) and vaccination.

          Methods

          A convenience sample of 2531 valid participants from 31 provinces and autonomous regions of mainland China were enrolled in this online survey study from January 1 to 24, 2021. Multivariable logistic regression was used to identify the associations of the vaccination rate and HBM factors with the prevalence of vaccine hesitancy after other covariates were controlled.

          Results

          The prevalence of vaccine hesitancy was 44.3% (95% CI 42.3%-46.2%), and the vaccination rate was 10.4% (9.2%-11.6%). The factors that directly promoted vaccination behavior were a lack of vaccine hesitancy (odds ratio [OR] 7.75, 95% CI 5.03-11.93), agreement with recommendations from friends or family for vaccination (OR 3.11, 95% CI 1.75-5.52), and absence of perceived barriers to COVID-19 vaccination (OR 0.51, 95% CI 0.35-0.75). The factors that were directly associated with a higher vaccine hesitancy rate were a high level of perceived barriers (OR 1.63, 95% CI 1.36-1.95) and perceived benefits (OR 0.51, 95% CI 0.32-0.79). A mediating effect of self-efficacy, influenced by perceived barriers (standardized structure coefficient [SSC]=−0.71, P<.001), perceived benefits (SSC=0.58, P<.001), agreement with recommendations from authorities (SSC=0.27, P<.001), and agreement with recommendations from friends or family (SSC=0.31, P<.001), was negatively associated with vaccination (SSC=−0.45, P<.001) via vaccine hesitancy (SSC=−0.32, P<.001).

          Conclusions

          It may be possible to increase the vaccination rate by reducing vaccine hesitancy and perceived barriers to vaccination and by encouraging volunteers to advocate for vaccination to their friends and family members. It is also important to reduce vaccine hesitancy by enhancing self-efficacy for vaccination, due to its crucial mediating function.

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          Most cited references79

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          The theory of planned behavior

          Icek Ajzen (1991)
          Organizational Behavior and Human Decision Processes, 50(2), 179-211
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            Vaccine hesitancy: Definition, scope and determinants.

            The SAGE Working Group on Vaccine Hesitancy concluded that vaccine hesitancy refers to delay in acceptance or refusal of vaccination despite availability of vaccination services. Vaccine hesitancy is complex and context specific, varying across time, place and vaccines. It is influenced by factors such as complacency, convenience and confidence. The Working Group retained the term 'vaccine' rather than 'vaccination' hesitancy, although the latter more correctly implies the broader range of immunization concerns, as vaccine hesitancy is the more commonly used term. While high levels of hesitancy lead to low vaccine demand, low levels of hesitancy do not necessarily mean high vaccine demand. The Vaccine Hesitancy Determinants Matrix displays the factors influencing the behavioral decision to accept, delay or reject some or all vaccines under three categories: contextual, individual and group, and vaccine/vaccination-specific influences.
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              A global survey of potential acceptance of a COVID-19 vaccine

              Several coronavirus disease 2019 (COVID-19) vaccines are currently in human trials. In June 2020, we surveyed 13,426 people in 19 countries to determine potential acceptance rates and factors influencing acceptance of a COVID-19 vaccine. Of these, 71.5% of participants reported that they would be very or somewhat likely to take a COVID-19 vaccine, and 61.4% reported that they would accept their employer’s recommendation to do so. Differences in acceptance rates ranged from almost 90% (in China) to less than 55% (in Russia). 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.
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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                September 2021
                6 September 2021
                6 September 2021
                : 23
                : 9
                : e29329
                Affiliations
                [1 ] Department of Preventive Medicine and Health Education School of Public Health Fudan University Shanghai China
                Author notes
                Corresponding Author: Junming Dai jmdai@ 123456fudan.edu.cn
                Author information
                https://orcid.org/0000-0002-7886-7822
                https://orcid.org/0000-0002-4054-3013
                https://orcid.org/0000-0002-0694-2010
                https://orcid.org/0000-0002-4756-7384
                https://orcid.org/0000-0001-7121-1516
                https://orcid.org/0000-0003-4743-9881
                https://orcid.org/0000-0003-3902-2955
                https://orcid.org/0000-0002-6584-9684
                https://orcid.org/0000-0001-9211-4061
                https://orcid.org/0000-0001-8649-1899
                https://orcid.org/0000-0003-3733-9035
                Article
                v23i9e29329
                10.2196/29329
                8425399
                34280115
                b449cc1d-5d45-4f99-a8eb-344e89679187
                ©Hao Chen, Xiaomei Li, Junling Gao, Xiaoxi Liu, Yimeng Mao, Ruru Wang, Pinpin Zheng, Qianyi Xiao, Yingnan Jia, Hua Fu, Junming Dai. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 06.09.2021.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 2 April 2021
                : 6 May 2021
                : 26 June 2021
                : 12 July 2021
                Categories
                Original Paper
                Original Paper

                Medicine
                covid-19 pandemic,vaccination behavior,vaccine hesitancy,health belief model
                Medicine
                covid-19 pandemic, vaccination behavior, vaccine hesitancy, health belief model

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