Cargando…

Predicting COVID-19 vaccination uptake in Armenia using the Health Belief Model: Results from a nationwide survey

Health behavior theories have been effectively used for studying populations’ awareness, attitudes, and beliefs related to COVID-19 preventative behaviors. The aim of this study was to explore the factors associated with the intention to get vaccinated against COVID-19 in the Armenian population usi...

Descripción completa

Detalles Bibliográficos
Autores principales: Harutyunyan, Tsovinar, Sargsyan, Zhanna, Sahakyan, Serine, Chiloyan, Araz, Melkom Melkomian, Dzovinar, Khachadourian, Vahe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9980550/
https://www.ncbi.nlm.nih.gov/pubmed/36688424
http://dx.doi.org/10.1080/21645515.2023.2165383
_version_ 1784899927073095680
author Harutyunyan, Tsovinar
Sargsyan, Zhanna
Sahakyan, Serine
Chiloyan, Araz
Melkom Melkomian, Dzovinar
Khachadourian, Vahe
author_facet Harutyunyan, Tsovinar
Sargsyan, Zhanna
Sahakyan, Serine
Chiloyan, Araz
Melkom Melkomian, Dzovinar
Khachadourian, Vahe
author_sort Harutyunyan, Tsovinar
collection PubMed
description Health behavior theories have been effectively used for studying populations’ awareness, attitudes, and beliefs related to COVID-19 preventative behaviors. The aim of this study was to explore the factors associated with the intention to get vaccinated against COVID-19 in the Armenian population using the Health Belief Model (HBM) as a framework. We applied stratified two-stage random sampling to conduct a telephone survey of 3,483 adults in 2021. The multi-domain survey instrument included questions on socio-demographic characteristics, COVID-19-related knowledge, COVID-19 susceptibility, severity and self-efficacy beliefs, sources of information on COVID-19, COVID-19 vaccination practice, and its benefits and barriers. We performed bivariate and hierarchical multivariate regression analysis with the entry of variables in blocks. In total, about 12% of the sample (n = 393) was vaccinated against COVID-19. Of 2,838 unvaccinated participants, about 53% (n = 1516) had an intention to get vaccinated. The final hierarchical logistic regression model containing socio-demographic characteristics, knowledge about COVID-19, and HBM constructs explained 43% of the variance in the intention to get vaccinated against COVID-19. Participants’ age, employment status, average monthly expenditures, perceived threat, benefits, perceived barriers, self-efficacy, and cues to action were significant and independent predictors of the intention to get COVID-19 vaccination. This study confirmed the utility of the HBM in highlighting drivers of an important health-protective behavior in the context of pandemics. Health policy makers, communication specialists, and healthcare providers should particularly stress the effectiveness and safety of the vaccines in their efforts to increase vaccination rates and focus on unemployed and low-income population groups.
format Online
Article
Text
id pubmed-9980550
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Taylor & Francis
record_format MEDLINE/PubMed
spelling pubmed-99805502023-03-03 Predicting COVID-19 vaccination uptake in Armenia using the Health Belief Model: Results from a nationwide survey Harutyunyan, Tsovinar Sargsyan, Zhanna Sahakyan, Serine Chiloyan, Araz Melkom Melkomian, Dzovinar Khachadourian, Vahe Hum Vaccin Immunother Coronavirus Health behavior theories have been effectively used for studying populations’ awareness, attitudes, and beliefs related to COVID-19 preventative behaviors. The aim of this study was to explore the factors associated with the intention to get vaccinated against COVID-19 in the Armenian population using the Health Belief Model (HBM) as a framework. We applied stratified two-stage random sampling to conduct a telephone survey of 3,483 adults in 2021. The multi-domain survey instrument included questions on socio-demographic characteristics, COVID-19-related knowledge, COVID-19 susceptibility, severity and self-efficacy beliefs, sources of information on COVID-19, COVID-19 vaccination practice, and its benefits and barriers. We performed bivariate and hierarchical multivariate regression analysis with the entry of variables in blocks. In total, about 12% of the sample (n = 393) was vaccinated against COVID-19. Of 2,838 unvaccinated participants, about 53% (n = 1516) had an intention to get vaccinated. The final hierarchical logistic regression model containing socio-demographic characteristics, knowledge about COVID-19, and HBM constructs explained 43% of the variance in the intention to get vaccinated against COVID-19. Participants’ age, employment status, average monthly expenditures, perceived threat, benefits, perceived barriers, self-efficacy, and cues to action were significant and independent predictors of the intention to get COVID-19 vaccination. This study confirmed the utility of the HBM in highlighting drivers of an important health-protective behavior in the context of pandemics. Health policy makers, communication specialists, and healthcare providers should particularly stress the effectiveness and safety of the vaccines in their efforts to increase vaccination rates and focus on unemployed and low-income population groups. Taylor & Francis 2023-01-23 /pmc/articles/PMC9980550/ /pubmed/36688424 http://dx.doi.org/10.1080/21645515.2023.2165383 Text en © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.
spellingShingle Coronavirus
Harutyunyan, Tsovinar
Sargsyan, Zhanna
Sahakyan, Serine
Chiloyan, Araz
Melkom Melkomian, Dzovinar
Khachadourian, Vahe
Predicting COVID-19 vaccination uptake in Armenia using the Health Belief Model: Results from a nationwide survey
title Predicting COVID-19 vaccination uptake in Armenia using the Health Belief Model: Results from a nationwide survey
title_full Predicting COVID-19 vaccination uptake in Armenia using the Health Belief Model: Results from a nationwide survey
title_fullStr Predicting COVID-19 vaccination uptake in Armenia using the Health Belief Model: Results from a nationwide survey
title_full_unstemmed Predicting COVID-19 vaccination uptake in Armenia using the Health Belief Model: Results from a nationwide survey
title_short Predicting COVID-19 vaccination uptake in Armenia using the Health Belief Model: Results from a nationwide survey
title_sort predicting covid-19 vaccination uptake in armenia using the health belief model: results from a nationwide survey
topic Coronavirus
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9980550/
https://www.ncbi.nlm.nih.gov/pubmed/36688424
http://dx.doi.org/10.1080/21645515.2023.2165383
work_keys_str_mv AT harutyunyantsovinar predictingcovid19vaccinationuptakeinarmeniausingthehealthbeliefmodelresultsfromanationwidesurvey
AT sargsyanzhanna predictingcovid19vaccinationuptakeinarmeniausingthehealthbeliefmodelresultsfromanationwidesurvey
AT sahakyanserine predictingcovid19vaccinationuptakeinarmeniausingthehealthbeliefmodelresultsfromanationwidesurvey
AT chiloyanaraz predictingcovid19vaccinationuptakeinarmeniausingthehealthbeliefmodelresultsfromanationwidesurvey
AT melkommelkomiandzovinar predictingcovid19vaccinationuptakeinarmeniausingthehealthbeliefmodelresultsfromanationwidesurvey
AT khachadourianvahe predictingcovid19vaccinationuptakeinarmeniausingthehealthbeliefmodelresultsfromanationwidesurvey