Overview of knowledge, attitudes, beliefs, vaccine hesitancy and vaccine acceptance among mothers of infants in Quebec, Canada
Bibliographic record
Abstract
BACKGROUND: Vaccine hesitancy (VH) is a growing problem. The first step in addressing VH is to have an understanding of who are the hesitant individuals and what are their specific concerns. The aim of this survey was to assess mothers' level of vaccine hesitancy and vaccination knowledge, attitudes, and beliefs. METHODS: Mothers of newly-born infants in four maternity wards in Quebec (Canada) completed a self-administered questionnaire. The questionnaire included items to assess VH and intention to vaccinate. VH scores were calculated using the Parents Attitudes about Childhood Vaccines (PACV) survey. Multivariate logistic regression was performed to determine variables associated with intention to vaccinate (OR; 95% CI). RESULTS: Overall, 2645 questionnaires were included in this analysis and 77.5% of respondents certainly intended to vaccinate their infant at 2 months of age. Based on the PACV 100-point scale, 56.4% of mothers had a 0 to ˂30 score (low level of VH); 28.6% had a 30 to ˂50 and 15.0% had a score of 50 and higher (high level of VH).The main determinants of mothers' intention to vaccinate were the perceived importance of vaccinating infants at 2 months of age (OR = 9.2; 5.9-14.5) and a low score of VH (OR = 7.4; 5.3-10.3). DISCUSSION: Although the majority of mothers held positive attitudes toward vaccination, a large proportion were moderately or highly vaccine hesitant. Mothers' level of VH was strongly associated with their intention to vaccinate their infants, showing the potential detrimental impact of VH on vaccine uptake rates and the importance of addressing this phenomenon.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".