Which factors drive the choice of the French-speaking Quebec population towards a COVID-19 vaccination programme: A discrete-choice experiment.

OBJECTIVES: The aims of this study were to elicit preferences about the coronavirus disease 2019 (COVID-19) vaccine campaign in the general French-speaking adult Quebec population and to highlight the characteristics of the vaccine campaign that were of major importance. METHODS: A discrete-choice experiment (DCE) was conducted between April and June 2021, in Quebec, Canada. A quota sampling method by age, gender and educational level was used to achieve a representative sample of the French-speaking adult population. The choice-based exercise was described by seven attributes within a vaccine campaign scenario. A mixed logit (MXL) model and a latent class logit (LCL) model were used to derive utility values. Age, gender, educational level, income and fear of COVID-19 were included as independent variables in the LCL. RESULTS: A total of 1883 respondents were included for analysis, yielding 22,586 choices. From these choices, 3425 (15.16%) were refusals. In addition, 1159 (61.55%) individuals always accepted any of the vaccination campaigns, while 92 individuals (4.89%) always refused vaccine alternatives. According to the MXL, relative weight importance of attributes was effectiveness (32.50%), risk of side effects (24.76%), level of scientific evidence (22.51%), number of shots (15.73%), priority population (3.60%), type of vaccine (0.61%), and vaccination location (0.28%). Four classes were derived from the LCL model and attributes were more or less important according to them. Class 1 (19.8%) was more concerned about the effectiveness (27.99%), safety (24.22%) and the number of shots (21.82%), class 2 (55.3%) wanted a highly effective vaccine (40.16%) and class 3 (17.6%) gave high value to the scientific evidence (42.00%). Class 4 preferences (7.4%) were more balanced, with each attribute having a relative weight ranging from 1.84% (type of vaccine) to 21.32% (risk of side effects). Membership posterior probabilities to latent classes were found to be predicted by individual factors such as gender, annual income or fear of COVID-19. CONCLUSIONS: Vaccination acceptance relies on multiple factors. This study allowed assessment of vaccination-specific issues through a choice-based exercise and description of factors influencing this choice by segmenting the sample and drawing profiles of individuals. Moreover, besides effectiveness and safety, a major point of this study was to show the importance given by the general population to the level of scientific evidence surrounding vaccines. PATIENT OR PUBLIC CONTRIBUTION: A small group of citizens was involved in the conception, design and interpretation of data. Participants of the DCE were all from the general population.

Preferences of patients with chronic low back pain about nonsurgical treatments: Results of a discrete choice experiment.

INTRODUCTION: This study aimed to assess patients' preferences of nonsurgical treatments for chronic low back pain (CLBP). METHOD: We conducted a discrete choice experiment (DCE) in Quebec, Canada, in 2018. Seven attributes were included: treatment modality, pain reduction, the onset of treatment efficacy, duration effectiveness, difficulties with daily activities, sleep problems, and knowledge of the patient's body and pain location. Treatment modalities were corticosteroid injections, supervised body-mind physical activities, supervised sports physical activities, physical manipulations, self-management courses, and psychotherapy. Utility levels were estimated using a logit model, a latent class model and a Bayesian hierarchical model. RESULTS: Analyses were conducted on 424 $424$ individuals. According to the Bayesian hierarchical model, the conditional relative importance weights of attributes were as follows: (1) treatment modality (34.79%), (2) pain reduction (18.73%), (3) difficulties with daily activities (11.71%), (4) duration effectiveness (10.06%), (5) sleep problems (10.05%), (6) onset of treatment efficacy (8.60%) and (7) knowledge of the patient's body and pain location (6.06%). According to the latent class model that found six classes of respondents with different behaviours (using Akaike and Bayesian criteria), the treatment modality was the most important attribute for all classes, except for class 4 for which pain reduction was the most important. In addition, classes 2 and 5 refused corticosteroid injections, while psychotherapy was preferred only in class 3. CONCLUSION: Given the preference heterogeneity found in the analysis, it is important that patient preferences are discussed and considered by the physicians. This will help to improve the patient care pathway in a context of a patient-centred model for a disease with growing prevalence. PATIENT OR PUBLIC CONTRIBUTION: A small group of patients was involved in the conception, design and interpretation of data. Participants in the DCE were all CLBP patients.

Predictors of Vaccine Acceptance, Confidence, and Hesitancy in General, and COVID-19 Vaccination Refusal in the Province of Quebec, Canada.

Introduction: A surge of COVID-19 variants is a major concern, and literatures that support developing an optimum level of herd immunity are meaningful. This study aimed to examine the factors associated with vaccine acceptance, confidence, and hesitancy in general, and COVID-19 vaccination refusal in the general population of Quebec, Canada. Methods: A web-based cross-sectional survey was conducted in October and November 2020 among French-speaking participants above 18 years of age employing quota sampling technique. The questionnaire included socio-demographic and attitudinal variables towards vaccination. Logistic regression analyses were conducted to examine the association between independent and outcome variables. Results: Of total 1599 participants, 88.9%, 87.5%, 78.5%, and 18.2%, respectively, indicated vaccine acceptance, high level of vaccine confidence, low level of vaccine hesitancy, and COVID-19 vaccination refusals. Participants having higher education, income, and fear of COVID-19 (FCV-19S) were more likely to get vaccinated, while smokers were less likely to get vaccinated. Similarly, age groups (40-59, and ≥60 years), higher education, income, permanent resident in Canada, country of parents from Canada, ever faced acute disease in the family, higher sense of coherence, and FCV-19S scores were predictors of high levels of vaccine confidence. Higher education, income, sense of coherence and FCV-19S scores, and higher health-related quality of life (CORE-6D) produced lower levels of vaccine hesitancy. Conversely, those acting as caretaker, other essential worker, smoker, and those with financial losses were more likely to have higher vaccine hesitancy. Additionally, ≥60 years of age, higher education and income, country of parents from Canada, higher scores of willingness to take risk and FCV-19S were less likely to have high level of COVID-19 vaccination refusal. Conclusion: Over three quarters of the participants indicated positive attitudes toward vaccination. Some socio-demographic and health-related quality of life factors were associated with the outcome variables, and these should be sought while designing interventions to improve COVID-19 vaccination rates.

Public Preferences for a COVID-19 Vaccination Program in Quebec: A Discrete Choice Experiment.

OBJECTIVES: We aimed to elicit preferences of the French-speaking Quebec population regarding a COVID-19 vaccination program and to characterize individuals with respect to their vaccination behaviors. METHODS: A discrete choice experiment was conducted in Autumn 2020 via a web-based survey. Its design included seven attributes: vaccine origin, vaccine effectiveness, side effects, protection duration, priority population, waiting time to get vaccinated, and recommender of the vaccine. Utilities were estimated using a mixed-logit model and a latent class logit model. RESULTS: Our sample included 1599 individuals. From this total, 119 always chose the opt-out option (7.4%). According to the mixed-logit model, the relative weights of attributes were as follows: effectiveness (28.48%), side effects (23.68%), protection duration (17.41%), vaccine origin (12.75%), recommender (11.96%), waiting time to get vaccinated (3.62%), and priority population (2.11%). Five classes were derived from the latent class logit model. Class 1 (9.13%) wanted to get vaccinated as fast as possible and was composed of uncertain and more vulnerable individuals. Class 5 (25.14%) was similar to the full sample, mostly favoring vaccination. Classes 2 (7.69%) and 4 (15.82%) included "vaccine hesitant and demanding" individuals but were different in their sociodemographic profiles. Finally, "anti-vaccine" and other "vaccine hesitant" individuals were in class 3 (42.21%). CONCLUSIONS: This study showed the vaccine characteristics that are likely to improve vaccine uptake, which may more easily lead to herd immunity. Different profiles of respondents also showed various levels of acceptance toward a COVID-19 vaccination program, which may help to better understand vaccine hesitancy behaviors.