Volume 11, Issue 1 (February 2024)
Avicenna J Neuro Psycho Physiology 2024, 11(1): 0-0 |
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Ethics code: IR.KUMS.REC.1401.391
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Mirzaei-Alavijeh1 M, Ali Faraj I, Keshavarzi A, Jalilian F. Use of the Capability, Opportunity, and Motivation Behaviour Model to Predict COVID-19 Vaccine Uptake in the Kurdistan Region, Iraq. Avicenna J Neuro Psycho Physiology 2024; 11 (1)
URL: http://ajnpp.umsha.ac.ir/article-1-482-en.html
URL: http://ajnpp.umsha.ac.ir/article-1-482-en.html
1- Social Development and Health Promotion Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran
2- Health Education and Promotion Department, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
3- Social Development and Health Promotion Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran ,f_jalilian@yahoo.com
2- Health Education and Promotion Department, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
3- Social Development and Health Promotion Research Center, Health Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran ,
Abstract: (135 Views)
Background and Objective: The Capability, Opportunity, and Motivation Behaviour (COM-B) model is widely used to explain behavior. In this survey, we examined how well the COM-B model could predict the likelihood of Iraqi Kurdish individuals getting vaccinated against COVID-19.
Materials and Methods: An online cross-sectional survey was developed to explain the COVID-19 vaccine uptake based on COM-B components. Non-probability sampling was used to collect data from 970 Kurdish people in Said Sadiq, Kurdistan Region, Iraq. Data were analyzed in SPSS software (version 16) using bivariate correlation and logistic regression statistical tests.
Results: The mean age of respondents was 32.68 years [95% CI: 31.95, 33.40], ranging from 18-72 years. Based on the results, 46.3% (420/907) of participants had received the COVID-19 vaccine at least once. Older age (OR: 1.021 and P=0.016), government job (OR: 1.691 and P<0.001), a positive family history of COVID-19 (OR: 1.764 and P=< 0.001), physical capability (OR: 1.877 and P<0.001), and automatic motivation (OR: 1.069 and P=0.016) had significant effects on COVID-19 vaccine uptake.
Conclusion: We have found evidence supporting the use of the COM-B model for developing programs aimed at increasing COVID-19 vaccination uptake. To develop effective interventions, it is important to prioritize activities that enhance physical capability and automatic motivation.
Materials and Methods: An online cross-sectional survey was developed to explain the COVID-19 vaccine uptake based on COM-B components. Non-probability sampling was used to collect data from 970 Kurdish people in Said Sadiq, Kurdistan Region, Iraq. Data were analyzed in SPSS software (version 16) using bivariate correlation and logistic regression statistical tests.
Results: The mean age of respondents was 32.68 years [95% CI: 31.95, 33.40], ranging from 18-72 years. Based on the results, 46.3% (420/907) of participants had received the COVID-19 vaccine at least once. Older age (OR: 1.021 and P=0.016), government job (OR: 1.691 and P<0.001), a positive family history of COVID-19 (OR: 1.764 and P=< 0.001), physical capability (OR: 1.877 and P<0.001), and automatic motivation (OR: 1.069 and P=0.016) had significant effects on COVID-19 vaccine uptake.
Conclusion: We have found evidence supporting the use of the COM-B model for developing programs aimed at increasing COVID-19 vaccination uptake. To develop effective interventions, it is important to prioritize activities that enhance physical capability and automatic motivation.
Article Type: Research Article |
Subject:
General
Received: 2024/03/11 | Accepted: 2024/06/8 | Published: 2024/06/10
Received: 2024/03/11 | Accepted: 2024/06/8 | Published: 2024/06/10
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