An evaluation of video‐prompting procedures via telehealth to teach first aid skills to children with intellectual and developmental disabilities
Bibliographic record
Abstract
Unintentional injuries are one of the leading causes of morbidity and mortality among children with intellectual and developmental disabilities (IDD). First aid training involves teaching critical first aid skills, some of which are designed to treat unintentional injuries. To date, no study has (a) evaluated the effects of a video-prompting procedure to teach first aid skills to children with IDD or (b) attempted to teach these skills to children by using a telehealth delivery format. We used a concurrent multiple-baseline-across-skills design to evaluate the efficacy of a video-prompting procedure via telehealth to teach five children with IDD to perform first aid on themselves for insect stings, minor cuts, and minor burns under simulated conditions. For all participants, our procedure produced large improvements that maintained for a minimum of 4 weeks. Furthermore, the effects of the training generalized to novel confederates for all participants, and these effects maintained for a minimum of 4 weeks.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".