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Predicting the COVID-19 vaccine receive intention based on the theory of reasoned action in the south of Iran.
Ezati Rad, Roghayeh; Kahnouji, Kobra; Mohseni, Shokrollah; Shahabi, Nahid; Noruziyan, Fatemeh; Farshidi, Hossein; Hosseinpoor, Mahmood; Kashani, Saeed; Kamalzadeh Takhti, Hesamaddin; Hassani Azad, Mehdi; Aghamolaei, Teamur.
Afiliação
  • Ezati Rad R; Student Research Committee, Faculty of Health, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
  • Kahnouji K; Social Determinants in Health Promotion Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
  • Mohseni S; Social Determinants in Health Promotion Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
  • Shahabi N; Student Research Committee, Faculty of Health, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
  • Noruziyan F; Social Determinants in Health Promotion Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
  • Farshidi H; Cardiovascular Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
  • Hosseinpoor M; Social Determinants in Health Promotion Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
  • Kashani S; Anesthesiology, Critical Care and Pain Management Research Center Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
  • Kamalzadeh Takhti H; Department of Community Medicine, School of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
  • Hassani Azad M; Infectious and Tropical Diseases Research Center, Hormozgan Health Institute, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
  • Aghamolaei T; Cardiovascular Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran. teaghamolaei@gmail.com.
BMC Public Health ; 22(1): 229, 2022 02 04.
Article em En | MEDLINE | ID: mdl-35120486
ABSTRACT

BACKGROUND:

Vaccination against Covid 19 disease was based on rational practice theory. One of the most effective methods to control the COVID-19 pandemic is extensive vaccination coverage in the shortest time. The relevant beliefs and predictors of COVID-19 vaccine and the barriers to and facilitators of receiving COVID-19 vaccine should be identified. Individuals' intention to receive COVID-19 and the effective factors are of an utmost importance. This study aimed to predict intention to receive COVID-19 vaccine in the South of Iran.

METHODS:

This cross-sectional study was performed over a period of 2 months (May 2021 to July 2021) in 4 southern provinces in Iran. The study population of this study included people over 18 years of age who did not receive the COVID-19 vaccine. The online questionnaire was used to collect data. We recruited participants through a self-selection sampling method and posted the online survey link. The questionnaire had two parts demographic information and Theory of Reasoned Action (TRA) questions. All statistical calculations and hypotheses tests were performed using SPSS21 and Amos21 software and the significance level was considered 0.05.

RESULTS:

A total number of 2556 people participated in this study with a mean age of 37.76 (10.7) of years (Age Range = 18-75). The findings showed that attitudes and subjective norms and the use of social media predict the intention to receive COVID-19 vaccine. SEM showed that attitude (ß = 0.596, P < 0.001), subjective norms (ß = 0.265, P < 0.001) were significant predictors of vaccination intention. In this study, 78% of people were willing to receive the vaccine when they were officially allowed to.

CONCLUSION:

According to the results of the study, it is suggested to strengthen positive attitudes and subjective norms about the importance of COVID-19 vaccination as well as using social media to inform the community in order increase the intention to vaccinate COVID-19 and increase vaccine coverage.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vacinas contra COVID-19 / COVID-19 Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Humans / Middle aged País/Região como assunto: Asia Idioma: En Revista: BMC Public Health Assunto da revista: SAUDE PUBLICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Irã

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vacinas contra COVID-19 / COVID-19 Tipo de estudo: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Humans / Middle aged País/Região como assunto: Asia Idioma: En Revista: BMC Public Health Assunto da revista: SAUDE PUBLICA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Irã