Working with vaccine-hesitant parents: An update
Bibliographic record
Abstract
Most Canadian parents make sure that their children are immunized on time, but health care providers often encounter parents who are hesitant about vaccination or refuse recommended vaccines. This practice point offers evidence-based guidance to clinicians on how to work with vaccine-hesitant parents. Steps include: 1) Understanding the health care provider's key role in parental decision-making and not dismissing vaccine refusers from practice; 2) Using presumptive and motivational interviewing techniques to identify specific vaccine concerns; 3) Using effective, clear language to present evidence for disease risks and vaccine benefits fairly and accurately; 4) Managing pain on immunization; and 5) Reinforcing the importance of and parental responsibility for community protection. Immunization is one of the most important preventive health measures in existence and responsible for saving millions of lives. Addressing the concerns of vaccine-hesitant parents is a priority for health care providers.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".