The Factors That Promote Vaccine Hesitancy, Rejection, or Delay in Parents
Bibliographic record
Abstract
Vaccines are some of the most cost-effective public health interventions for reducing disease burden and mortality. However, in recent years, health systems have faced a growing challenge with increasing number of parents who choose not to vaccinate their children. This decision has important implications for the health of communities worldwide, and despite a considerable amount of research that reinforces vaccine effectiveness and safety, there is uncertainty surrounding the factors that may encourage vaccine hesitancy in parents. In this interpretive review of 34 qualitative studies, we examine the factors that bolster vaccine hesitancy, rejection, and delay, and identify the overlaps and relationships between these factors. We depict our findings using the metaphor of a gear train where each gear represents one of seven factors: previous experiences; "natural" and "organic" living; perceptions of other parents; experiences interacting with health care providers; information sources, challenges, and preferences; distrust in health system players; and mandatory vaccine policies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.019 | 0.045 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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 source (direct Gemma or distilled Codex), 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".