Integrating Health Behavior Theories to Predict Intention to Get a COVID-19 Vaccine
COVID-19 vaccines are put forward as the most promising solution for combatting the COVID-19 pandemic. This study aims to assess the willingness to get vaccinated against COVID-19 by using the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB) as a theoretical framework. A self-admin...
Guardado en:
Autores principales: | , , , , , |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
SAGE Publishing
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/55c298d06c1d48039e72ef32525805e4 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:55c298d06c1d48039e72ef32525805e4 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:55c298d06c1d48039e72ef32525805e42021-12-02T23:03:35ZIntegrating Health Behavior Theories to Predict Intention to Get a COVID-19 Vaccine1178-632910.1177/11786329211060130https://doaj.org/article/55c298d06c1d48039e72ef32525805e42021-12-01T00:00:00Zhttps://doi.org/10.1177/11786329211060130https://doaj.org/toc/1178-6329COVID-19 vaccines are put forward as the most promising solution for combatting the COVID-19 pandemic. This study aims to assess the willingness to get vaccinated against COVID-19 by using the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB) as a theoretical framework. A self-administered questionnaire was considered among Vietnamese adult patients between March and May 2021. The dependent variable was a COVID-19 vaccine acceptance, the hierarchical multivariable regression was done to assess the fit of the predictor model and the associations of variables. A total of 462 participants completed the questionnaire, with 80.5% vaccination intention. A model containing demographics, as well as HBM and TPB variables, demonstrated to be a predictor of intention to receive a COVID-19 vaccine, interpreting 39% of the variance (adjusted R 2 = 0.39). For HBM and TPB constructs, respondents were more likely to accept vaccination if they had higher level of cues to action, self-efficacy, and a lower level of the perceived barriers (all P < .001). The theoretical framework provided a predictor of intention to get a COVID-19 vaccine, which is important for elaborating intervention plans to ensure the success of conducting mass vaccination campaigns.Pham Le AnHan Thi Ngoc NguyenHop Thi Bich DangQuynh Ngoc Ho HuynhBinh Duong Uyen PhamGiao HuynhSAGE PublishingarticleMedicine (General)R5-920Public aspects of medicineRA1-1270ENHealth Services Insights, Vol 14 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
EN |
topic |
Medicine (General) R5-920 Public aspects of medicine RA1-1270 |
spellingShingle |
Medicine (General) R5-920 Public aspects of medicine RA1-1270 Pham Le An Han Thi Ngoc Nguyen Hop Thi Bich Dang Quynh Ngoc Ho Huynh Binh Duong Uyen Pham Giao Huynh Integrating Health Behavior Theories to Predict Intention to Get a COVID-19 Vaccine |
description |
COVID-19 vaccines are put forward as the most promising solution for combatting the COVID-19 pandemic. This study aims to assess the willingness to get vaccinated against COVID-19 by using the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB) as a theoretical framework. A self-administered questionnaire was considered among Vietnamese adult patients between March and May 2021. The dependent variable was a COVID-19 vaccine acceptance, the hierarchical multivariable regression was done to assess the fit of the predictor model and the associations of variables. A total of 462 participants completed the questionnaire, with 80.5% vaccination intention. A model containing demographics, as well as HBM and TPB variables, demonstrated to be a predictor of intention to receive a COVID-19 vaccine, interpreting 39% of the variance (adjusted R 2 = 0.39). For HBM and TPB constructs, respondents were more likely to accept vaccination if they had higher level of cues to action, self-efficacy, and a lower level of the perceived barriers (all P < .001). The theoretical framework provided a predictor of intention to get a COVID-19 vaccine, which is important for elaborating intervention plans to ensure the success of conducting mass vaccination campaigns. |
format |
article |
author |
Pham Le An Han Thi Ngoc Nguyen Hop Thi Bich Dang Quynh Ngoc Ho Huynh Binh Duong Uyen Pham Giao Huynh |
author_facet |
Pham Le An Han Thi Ngoc Nguyen Hop Thi Bich Dang Quynh Ngoc Ho Huynh Binh Duong Uyen Pham Giao Huynh |
author_sort |
Pham Le An |
title |
Integrating Health Behavior Theories to Predict Intention to Get a COVID-19 Vaccine |
title_short |
Integrating Health Behavior Theories to Predict Intention to Get a COVID-19 Vaccine |
title_full |
Integrating Health Behavior Theories to Predict Intention to Get a COVID-19 Vaccine |
title_fullStr |
Integrating Health Behavior Theories to Predict Intention to Get a COVID-19 Vaccine |
title_full_unstemmed |
Integrating Health Behavior Theories to Predict Intention to Get a COVID-19 Vaccine |
title_sort |
integrating health behavior theories to predict intention to get a covid-19 vaccine |
publisher |
SAGE Publishing |
publishDate |
2021 |
url |
https://doaj.org/article/55c298d06c1d48039e72ef32525805e4 |
work_keys_str_mv |
AT phamlean integratinghealthbehaviortheoriestopredictintentiontogetacovid19vaccine AT hanthingocnguyen integratinghealthbehaviortheoriestopredictintentiontogetacovid19vaccine AT hopthibichdang integratinghealthbehaviortheoriestopredictintentiontogetacovid19vaccine AT quynhngochohuynh integratinghealthbehaviortheoriestopredictintentiontogetacovid19vaccine AT binhduonguyenpham integratinghealthbehaviortheoriestopredictintentiontogetacovid19vaccine AT giaohuynh integratinghealthbehaviortheoriestopredictintentiontogetacovid19vaccine |
_version_ |
1718374052103454720 |