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Predicting the COVID-19 vaccine receive intention based on the theory of reasoned action in the south of Iran
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 facilitat...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814221/ https://www.ncbi.nlm.nih.gov/pubmed/35120486 http://dx.doi.org/10.1186/s12889-022-12517-1 |
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author | 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 |
author_facet | 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 |
author_sort | Ezati Rad, Roghayeh |
collection | PubMed |
description | 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 (β = 0.596, P < 0.001), subjective norms (β = 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-12517-1. |
format | Online Article Text |
id | pubmed-8814221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-88142212022-02-04 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 BMC Public Health Research 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 (β = 0.596, P < 0.001), subjective norms (β = 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-12517-1. BioMed Central 2022-02-04 /pmc/articles/PMC8814221/ /pubmed/35120486 http://dx.doi.org/10.1186/s12889-022-12517-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research 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 Predicting the COVID-19 vaccine receive intention based on the theory of reasoned action in the south of Iran |
title | Predicting the COVID-19 vaccine receive intention based on the theory of reasoned action in the south of Iran |
title_full | Predicting the COVID-19 vaccine receive intention based on the theory of reasoned action in the south of Iran |
title_fullStr | Predicting the COVID-19 vaccine receive intention based on the theory of reasoned action in the south of Iran |
title_full_unstemmed | Predicting the COVID-19 vaccine receive intention based on the theory of reasoned action in the south of Iran |
title_short | Predicting the COVID-19 vaccine receive intention based on the theory of reasoned action in the south of Iran |
title_sort | predicting the covid-19 vaccine receive intention based on the theory of reasoned action in the south of iran |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8814221/ https://www.ncbi.nlm.nih.gov/pubmed/35120486 http://dx.doi.org/10.1186/s12889-022-12517-1 |
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