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Predicting intention to receive COVID-19 vaccine among the general population using the health belief model and the theory of planned behavior model.
BMC Public Health. 2021 04 26; 21(1):804.BP

Abstract

BACKGROUND

This study aim to explore the intentions, motivators and barriers of the general public to vaccinate against COVID-19, using both the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB) model.

METHODS

An online survey was conducted among Israeli adults aged 18 years and older from May 24 to June 24, 2020. The survey included socio-demographic and health-related questions, questions related to HBM and TPB dimensions, and intention to receive a COVID-19 vaccine. Associations between questionnaire variables and COVID-19 vaccination intention were assessed by univariate and multivariate analyses.

RESULTS

Eighty percent of 398 eligible respondents stated their willingness to receive COVID-19 vaccine. A unified model including HBM and TPB predictor variables as well as demographic and health-related factors, proved to be a powerful predictor of intention to receive COVID-19 vaccine, explaining 78% of the variance (adjusted R squared = 0.78). Men (OR = 4.35, 95% CI 1.58-11.93), educated respondents (OR = 3.54, 95% CI 1.44-8.67) and respondents who had received the seasonal influenza vaccine in the previous year (OR = 3.31, 95% CI 1.22-9.00) stated higher intention to receive COVID-19 vaccine. Participants were more likely to be willing to get vaccinated if they reported higher levels of perceived benefits of COVID-19 vaccine (OR = 4.49, 95% CI 2.79-7.22), of perceived severity of COVID-19 infection (OR = 2.36, 95% CI 1.58-3.51) and of cues to action (OR = 1.99, 95% CI 1.38-2.87), according to HBM, and if they reported higher levels of subjective norms (OR = 3.04, 95% CI 2.15-4.30) and self-efficacy (OR = 2.05, 95% CI 1.54-2.72) according to TPB. Although half of the respondents reported they had not received influenza vaccine last year, 40% of them intended to receive influenza vaccine in the coming winter and 66% of them intended to receive COVID-19 vaccine.

CONCLUSIONS

Providing data on the public perspective and predicting intention for COVID-19 vaccination using HBM and TPB is important for health policy makers and healthcare providers and can help better guide compliance as the COVID-19 vaccine becomes available to the public.

Links

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Authors+Show Affiliations

Shmueli L
Department of Management, Bar-Ilan University, 52900, Ramat-Gan, Israel. liora.shmueli@biu.ac.il.

MeSH

AdolescentAdultCOVID-19COVID-19 VaccinesCross-Sectional StudiesHealth Belief ModelHumansInfluenza VaccinesIntentionMaleSARS-CoV-2Vaccination

Pub Type(s)

Journal Article

Language

eng

PubMed ID

33902501

Citation

Shmueli, Liora. "Predicting Intention to Receive COVID-19 Vaccine Among the General Population Using the Health Belief Model and the Theory of Planned Behavior Model." BMC Public Health, vol. 21, no. 1, 2021, p. 804.
Shmueli L. Predicting intention to receive COVID-19 vaccine among the general population using the health belief model and the theory of planned behavior model. BMC Public Health. 2021;21(1):804.
Shmueli, L. (2021). Predicting intention to receive COVID-19 vaccine among the general population using the health belief model and the theory of planned behavior model. BMC Public Health, 21(1), 804. https://doi.org/10.1186/s12889-021-10816-7
Shmueli L. Predicting Intention to Receive COVID-19 Vaccine Among the General Population Using the Health Belief Model and the Theory of Planned Behavior Model. BMC Public Health. 2021 04 26;21(1):804. PubMed PMID: 33902501.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Predicting intention to receive COVID-19 vaccine among the general population using the health belief model and the theory of planned behavior model. A1 - Shmueli,Liora, Y1 - 2021/04/26/ PY - 2020/12/20/received PY - 2021/04/01/accepted PY - 2021/4/27/entrez PY - 2021/4/28/pubmed PY - 2021/5/15/medline KW - Hierarchical logistic regression KW - SARS-CoV-2 KW - Theoretical behavior models KW - Vaccine acceptance SP - 804 EP - 804 JF - BMC public health JO - BMC Public Health VL - 21 IS - 1 N2 - BACKGROUND: This study aim to explore the intentions, motivators and barriers of the general public to vaccinate against COVID-19, using both the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB) model. METHODS: An online survey was conducted among Israeli adults aged 18 years and older from May 24 to June 24, 2020. The survey included socio-demographic and health-related questions, questions related to HBM and TPB dimensions, and intention to receive a COVID-19 vaccine. Associations between questionnaire variables and COVID-19 vaccination intention were assessed by univariate and multivariate analyses. RESULTS: Eighty percent of 398 eligible respondents stated their willingness to receive COVID-19 vaccine. A unified model including HBM and TPB predictor variables as well as demographic and health-related factors, proved to be a powerful predictor of intention to receive COVID-19 vaccine, explaining 78% of the variance (adjusted R squared = 0.78). Men (OR = 4.35, 95% CI 1.58-11.93), educated respondents (OR = 3.54, 95% CI 1.44-8.67) and respondents who had received the seasonal influenza vaccine in the previous year (OR = 3.31, 95% CI 1.22-9.00) stated higher intention to receive COVID-19 vaccine. Participants were more likely to be willing to get vaccinated if they reported higher levels of perceived benefits of COVID-19 vaccine (OR = 4.49, 95% CI 2.79-7.22), of perceived severity of COVID-19 infection (OR = 2.36, 95% CI 1.58-3.51) and of cues to action (OR = 1.99, 95% CI 1.38-2.87), according to HBM, and if they reported higher levels of subjective norms (OR = 3.04, 95% CI 2.15-4.30) and self-efficacy (OR = 2.05, 95% CI 1.54-2.72) according to TPB. Although half of the respondents reported they had not received influenza vaccine last year, 40% of them intended to receive influenza vaccine in the coming winter and 66% of them intended to receive COVID-19 vaccine. CONCLUSIONS: Providing data on the public perspective and predicting intention for COVID-19 vaccination using HBM and TPB is important for health policy makers and healthcare providers and can help better guide compliance as the COVID-19 vaccine becomes available to the public. SN - 1471-2458 UR - https://www.unboundmedicine.com/medline/citation/33902501/Predicting_intention_to_receive_COVID_19_vaccine_among_the_general_population_using_the_health_belief_model_and_the_theory_of_planned_behavior_model_ DB - PRIME DP - Unbound Medicine ER -