Peer coaching and mentoring: A new model of educational intervention for safe patient handling in health care
Bibliographic record
Abstract
BACKGROUND: To reduce the risk of patient handling-related musculoskeletal injury, overhead ceiling lifts have been installed in health care facilities. To increase ceiling lift usage for a variety of patient handling tasks, a peer coaching and mentoring program was implemented among the direct care staff in the long-term care subsector in British Columbia, Canada. They received a 4-day training program on body mechanics, ergonomics, patient-handling techniques, ceiling lift usage, in addition to coaching skills. METHODS: A questionnaire was administered among staff before and after the intervention to evaluate the program's effectiveness. RESULTS: There were 403 and 200 respondents to the pre-intervention and post-intervention questionnaires. In general, staff perceived the peer-coaching program to be effective. The number of staff who reported to be using ceiling lifts "often and always" went higher from 64.5% to 80.5% (<0.001) after coaching program implementation. Furthermore, staff reported that they were using the ceiling lifts for more types of tasks post-intervention. Staff reported that the peer coaching program has increased their safety awareness at work and confidence in using the ceiling lifts. CONCLUSIONS: The findings suggest that this educational model can increase the uptake of mechanical interventions for occupational health and safety initiatives. It appears that the training led to a greater awareness of the availability of or increased perceptions of the number of ceiling lifts, presumably through coaches advocating their use.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".