Adverse events among early caregivers' COVID-19 vaccination correlated inversely with intention to vaccinate their children.
Bibliographic record
Abstract
Objectives Vaccine hesitancy increased during the COVID-19 pandemic. We evaluated if manifestation of adverse events when caregivers received their vaccine was associated with their willingness to vaccinate their children.Methods A multicenter, cross-sectional, multi-lingual survey of caregivers presenting to 19 pediatric Emergency Departments in the USA, Canada, Israel, and Switzerland early during the early stage of the pandemic, before vaccines for children were available. We asked caregivers if they were vaccinated against COVID-19, to report any side effects and if they would give vaccine to their child. We categorized all reported side effects and report the most common ones. We report willingness to vaccinate based on child's age.Results Of 4261 caregivers, mean caregiver age was 38.3 years, 2893 (68.3 %) mothers, 3108 (73.3 %) greater than high school education. 43.6 % reported side effects, 35.7 % reported no side effects and 20.7 % were unvaccinated. The lowest rate of caregivers planning to vaccinate their children was the unvaccinated (6.9 %) and the highest was among caregivers who did not report any side effects (74.4 %). Caregivers with no reported side effects after vaccination were more likely to vaccinate their children compared to those that had some side effects (aOR of 1.34, 1.52 and 2.14 for ages <5, 5-11 and ≥12 years, respectively). Reporting general illness/feeling unwell, experiencing weakness, and breathing difficulty were associated with caregivers unlikely to plan to vaccinate their children. The OR to vaccinate children for each additional side effect was 0.86, 95 %CI = 0.78-0.95, p = 0.004, representing a decrease of 14 % in the odds of planning to vaccinate for each additional side effect.Conclusions Side effects experienced by caregivers are associated with their intention to vaccinate their children. Building of trust in vaccines, including communicating risks and benefits in the context of caregiver's experience, is important and may help enhance rate of vaccination of children.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".