Objectives: Vaccine hesitancy is a global phenomenon that needs to be measured and addressed. This study aimed to identify the determinants of vaccine hesitancy among a large regional population.Methods: A structured telephone survey was administered to a random digit sample in Quebec's Eastern Townships region. In addition to socioeconomic information, respondents were asked questions on several health topics such as knowledge and beliefs about immunization, medical consultations, health status, and life habits. Data were weighted according to age, sex, and territories. Statistically significant variables in the univariate analysis were introduced into a multivariate logistic regression model to determine independent factors for vaccine hesitancy (adjusted odds ratios [aOR] and 95% confidence intervals).Results: A total of 8,737 interviews were conducted (participation rate 48.3%). Among all respondents, 32.2% were vaccine-hesitant. Several beliefs were significantly associated with vaccine hesitancy: belief that children receive too many vaccines (aOR = 2.72; 2.32-3.18), belief that a healthy lifestyle can eliminate the need for vaccination (aOR = 2.48; 2.09-2.93), and belief that the use of alternative medicine practices can eliminate the need for vaccination (aOR = 1.39; 1.16-1.68). Other determinants associated with vaccine hesitancy were having consulted a massage therapist (aOR = 2.34; 1.46-3.75), not being vaccinated against influenza (aOR = 1.80; 1.49-2.16), having a low (<$30,000) (aOR = 1.58; 1.24-2.02) or moderate ($30,000-$79,000) (aOR = 1.37; 1.12-1.67) household income, distrust in public health authorities (aOR = 1.40; 1.21-1.63), perceived insufficient knowledge about immunization (aOR = 1.26; 1.04-1.51), and smoking (aOR = 1.22; 1.01-1.47).Conclusions: Many determinants are related to vaccine hesitancy. These determinants should be taken into account when health professionals engage with vaccine-hesitant individuals.
Keywords: Health Belief Model; Vaccine hesitancy; determinants; immunization; population-based survey.