Development and testing of an audio-visual aid for improving infant oral health through primary caregiver education.
Bibliographic record
Abstract
PURPOSE: To create and test an audio-visual (AV) aid for providing anticipatory guidance on infant oral health to caregivers. METHODS: A DVD-video containing evidence-based information about infant oral health care and prevention in accordance with the American Academy of Pediatric Dentistry guidelines has been developed (www.utoronto.ca/dentistry/newsresources/kids/). It contains comprehensive anticipatory guidance in the areas of pregnancy, oral development, teething, diet and nutrition, oral hygiene, fluoride use, acquisition of oral bacteria, feeding and oral habits, causes and sequelae of early childhood caries, trauma prevention, early dental visits and regular dental visits. A questionnaire was developed to test the knowledge of expectant and young mothers (n = 11) and early childhood educators (n = 16) before and after viewing the video. RESULTS: A significant lack of knowledge about infant oral health was indicated by the proportion of "I don"t know" (22%) and incorrect (19%) responses to the questionnaire before the viewing. Significant improvement in knowledge (32%; range -3% to 57%; p < 0.001) was indicated by the proportion of correct responses (91%) following a single viewing of the AV aid. CONCLUSION: This AV aid promises to be an effective tool in providing anticipatory guidance regarding infant oral health in high-risk populations. Unlike existing educational materials, this aid provides a comprehensive, self-directed, evidence-based approach to the promotion of infant oral health. Widespread application of this prevention protocol has the potential to result in greater awareness, increased use of dental services and reduced incidence of preventable oral disease in the target populations.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".