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Volume 10, Issue 4 (2022)
Health Educ Health Promot 2022, 10(4): 711-718 |
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History
Received: 2022/05/18 | Accepted: 2022/07/10 | Published: 2022/10/1
Received: 2022/05/18 | Accepted: 2022/07/10 | Published: 2022/10/1
How to cite this article
Darabi A, Tahmasebi R, Vahdat K, Noroozi A. Predictive Factors of COVID-19 Vaccine Acceptance Based on COM-B Model. Health Educ Health Promot 2022; 10 (4) :711-718
URL: http://hehp.modares.ac.ir/article-4-61593-en.html
URL: http://hehp.modares.ac.ir/article-4-61593-en.html
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1- Persian Gulf Tropical Medicine Research Center, Bushehr University of Medical Sciences, Bushehr, Iran
2- Department of Epidemiology and Biostatistics, School of Health, Bushehr University of Medical Sciences, Bushehr, Iran
3- Department of Infectious Diseases, School of Medicine, Bushehr University of Medical Science, Bushehr, Iran
4- Department of Health Education, School of Health, Bushehr University of Medical Sciences, Bushehr, Iran
2- Department of Epidemiology and Biostatistics, School of Health, Bushehr University of Medical Sciences, Bushehr, Iran
3- Department of Infectious Diseases, School of Medicine, Bushehr University of Medical Science, Bushehr, Iran
4- Department of Health Education, School of Health, Bushehr University of Medical Sciences, Bushehr, Iran
Abstract (2688 Views)
Aims: The success of COVID-19 vaccination depends on public acceptance of the vaccine. It is necessary to evaluate the factors affecting vaccine acceptance to increase the acceptance of vaccination. The current study aimed to determine the relationships between the three components of the COM-B (capability, motivation, and opportunity) model and the explanatory domains of each component.
Instrument & Methods: In this cross-sectional study, 1102 adults aged 18 years and older were selected through multi-stage sampling and received an online questionnaire on the WhatsApp platform in February 2021. Structure equation modeling was used to investigate the factors affecting vaccine acceptance.
Findings: Of the 1102 respondents, 938 respondents (85.1%) wanted to get vaccinated. The main indicators for the COM-B components were behavioral regulation(capability), subjective norms and social support (opportunity) and social role (motivation). Opportunity strongly predicted motivation (93%) and Covid-19 vaccine acceptance (74%). Motivation and capability were mediator for opportunity on vaccine acceptance.
Conclusion: Providing environmental and interpersonal conditions by creating capability and motivation in people increases vaccine acceptance.
Instrument & Methods: In this cross-sectional study, 1102 adults aged 18 years and older were selected through multi-stage sampling and received an online questionnaire on the WhatsApp platform in February 2021. Structure equation modeling was used to investigate the factors affecting vaccine acceptance.
Findings: Of the 1102 respondents, 938 respondents (85.1%) wanted to get vaccinated. The main indicators for the COM-B components were behavioral regulation(capability), subjective norms and social support (opportunity) and social role (motivation). Opportunity strongly predicted motivation (93%) and Covid-19 vaccine acceptance (74%). Motivation and capability were mediator for opportunity on vaccine acceptance.
Conclusion: Providing environmental and interpersonal conditions by creating capability and motivation in people increases vaccine acceptance.
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