Predictive Factors of COVID-19 Vaccine Acceptance Based on COM-B Model

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. © 2022, the Authors.

Predictive Factors of COVID-19 Vaccine Acceptance Based on COM-B Model

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. © 2022, the Authors.

Predictor factors of preventive behaviors based on Extended Parallel Process Model (EPPM) in residents of Bushehr province in 2021

Background and Objective: Covid-19 preventive behaviors are essential, and designing messages that convey a sense of danger is essential to creating these behaviors. One of the most widely used models for designing danger messages is the Extended Parallel Process Model (EPPM). Therefore, the aim of this study was to determine the predictors of preventive behaviors based on EPPM. Materials and Methods: In this cross-sectional study, 1455 participants over 18 years old living in Bushehr province in cities of Bushehr, Genaveh, Tangestan, and Assaluyeh were selected by multi-stage sampling method. Data were collected online using valid and reliable questionnaires including demographic questions, constructs of the EPPM about individuals' perception of Covid-19, and preventive behaviors (hand washing and masking). Data were analyzed in SPSS software version 22. Results: Out of 1455 participants, 877 (60.3%) had preventive behaviors. According to the results, the highest rate of hand disinfection by people after attending public places was 97.5% and the highest rate of wearing a mask was 98.7% in the presence of medical centers. The constructs of perceived susceptibility, severity, and self-efficacy were predictors of preventive behaviors, and self-efficacy was the strongest predictor. Among the participants in the study, 914 (62.8%) were in the fear control process of preventive behavior, in which the highest defense response, has been about avoidance. Conclusion: In order to promote preventive behaviors, people's perceptions of the threat of disease should be increased in health messages, and people's understanding of self-efficacy should be improved by using various methods, including verbal persuasion, modeling, step-by-step goal setting, and so on. © 2022 by the Author(s).

Predictive Power of Extended Parallel Process Model (EPPM) for Acceptance of Covid-19 Vaccine in Residents of Bushehr Province

Background and Aim: Vaccination is one of the most effective preventive measures to control of infectious diseases. To create effective interventions for the acceptance of the COVID-19 vaccine, it is important to identify the factors that affect the vaccine acceptance. The aim of this study was to determine the predictive power of the Extended Parallel Process Model (EPPM) for acceptance of Covid-19 vaccine. Materials and Methods: In this cross-sectional study, 1455 people over 18 years old covered in health centers living in Bushehr province in cities of Bushehr, Genaveh, Tangestan, and Asaluyeh in 2021 were selected by convenience method. Data collection was online by using questionnaire included three sections comprised of demographic factors, questionnaire related to model constructs, and self-administered questionnaire related to acceptance of Covid-19 vaccine. Data were analyzed using chi-square, two independent sample T-test and logistic regression;in SPSS software. Results: Out of 1455 participants, 1067 persons (73.3%) had been vaccinated. The results showed that men (P=0.006), people with higher education (P=0.001), government employees (P=0.001), single people (P=0.01), people with history of specific disease (P=0.05), individuals with a history of Covid-19 positive test (P=0.001) and their family (P=0.03) were more than other vaccine recipients. Perceived severity, response efficacy and perceived self-efficacy were predictors of vaccine acceptance. Predictive variables and constructs explained 43.8% of changes in vaccine acceptance. Among the participants in the study, 1366 (93.9%) were in the fear control process, in which the highest defense response has been avoided. Conclusion: In order to increase the acceptance of the vaccine, the efficacy and effectiveness of the vaccine and the severity of the complications of the disease should be emphasized. Therefore, public health campaigns aimed at increasing vaccine acceptance should provide a high level of transparency about the safety and effectiveness of vaccines to the community. © 2022, Tehran University of Medical Sciences. All rights reserved.

Factors influencing covid-19 vaccine acceptance based on the behavioral change wheel model in bushehr province in 2021: A web-based study

Background & Aim: Considering the importance of COVID-19 vaccine acceptance to end the corona disease pandemic, the study was conducted to determine the factors affecting the vaccine acceptance based on the behavioral change wheel mode and its components (capability, opportunity, and motivation). Methods & Materials: In this cross-sectional study, 1102 adults aged 18 years and older living in Bushehr province were selected by multi-stage sampling method from February 16 to 28, 2021. To collect the data, a questionnaire including demographic characteristics, questions on the constructs related to the behavioral change wheel model components and questions on the COVID-19 vaccine acceptance was completed on WhatsApp platform. Data was analyzed using the SPSS software version 22. Results: The results of the study showed that most participants tended to receive the Iranian vaccine (726 people or 65.9%). Among the demographic factors, only gender was associated with vaccination, and men were more likely to accept to be vaccinated (P=0.022). Among the model constructs, the most predictive construct was related to social support in the opportunity component (P<0.001, β=0.55 and B=0.183). In the motivation component, social role (P<0.001 and β=0.118 and B=0.162) and in the capability component, behavioral regulation (P<0.001 and β=0.152 and B=0.155) had the highest predictor of vaccine acceptance. In general, constructs of opportunity component had the greatest impact on vaccine acceptance. Conclusion: In order to increase the acceptance of COVID-19 vaccination, opportunities should be provided through social support, vaccination should be introduced as a social role, and behavioral regulation, in other words, understanding of the ability to vaccinate to prevent the disease and break the disease transmission chain should be promoted. © 2021 The Authors. Published by Tehran University of Medical Sciences.

Factors influencing COVID-19 vaccine acceptance based on the behavioral change wheel model in bushehr province in 2021: a web-based study

Background & Aim: Considering the importance of COVID-19 vaccine acceptance to end the corona disease pandemic, the study was conducted to determine the factors affecting the vaccine acceptance based on the behavioral change wheel mode and its components (capability, opportunity, and motivation). Methods & Materials: In this cross-sectional study, 1102 adults aged 18 years and older living in Bushehr province were selected by multi-stage sampling method from February 16 to 28, 2021. To collect the data, a questionnaire including demographic characteristics, questions on the constructs related to the behavioral change wheel model components and questions on the COVID-19 vaccine acceptance was completed on WhatsApp platform. Data was analyzed using the SPSS software version 22.