Prevalence and indications for video recording in the health care setting in North American and British paediatric hospitals
Bibliographic record
Abstract
BACKGROUND: Health care video recording has demonstrated value in education, performance assessment, quality improvement and clinical care. METHODS: A survey was administered to paediatric hospitals in Great Britain, Canada and the United States. Heads of departments or delegates from six areas (emergency departments [EDs], operating rooms, paediatric intensive care units [PICUs], neonatal intensive care units [NICUs], simulation centres and neuroepilepsy units) were asked 10 questions about the prevalence, indications and process issues of video recording. RESULTS: Seventy hospitals were surveyed, totalling 307 clinical areas. The hospital response rate was 100%; the rate for clinical departments was 65%. Sixty-six hospitals (94%) currently use video recording. Video recording was used in 62 of 68 (91%) operating rooms; 36 of 69 (52%) PICUs; 35 of 67 (52%) NICUs; 12 of 65 (19%) EDs; seven of eight (88%) neuroepilepsy units and 13 of 14 (93%) simulation centres. Education was the most common indication (112 of 204 [55%]). Most sites obtained written consent. Since the introduction of more strict privacy legislation, 11 of 65 (17%) EDs have discontinued video recording. CONCLUSION: The present study describes video recording practices in paediatric hospitals in North America and Great Britain. Video recording is primarily used for education and most areas have a consent process.
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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 | 0.002 | 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 | 0.000 |
| 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".