Can Aviation-Based Team Training Elicit Sustainable Behavioral Change?
Why this work is in the frame
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Bibliographic record
Abstract
OBJECTIVE: To quantify effects of aviation-based crew resource management training on patient safety-related behaviors and perceived personal empowerment. DESIGN: Prospective study of checklist use, error self-reporting, and a 10-point safety empowerment survey after participation in a crew resource management training intervention. SETTING: Seven hundred twenty-two-bed university hospital; 247-bed affiliated community hospital. PARTICIPANTS: There were 857 participants, the majority of whom were nurses (50%), followed by ancillary personnel (28%) and physicians (22%). MAIN OUTCOME MEASURES: Preoperative checklist use over time; number and type of entries on a Web-based incident reporting system; and measurement of degree of empowerment (1-5 scale) on a 10-point survey of safety attitudes and actions given prior to, immediately after, and a minimum of 2 months after training. RESULTS: Since 2003, 10 courses trained 857 participants in multiple disciplines. Preoperative checklist use rose (75% in 2003, 86% in 2004, 94% in 2005, 98% in 2006, and 100% in 2007). Self-initiated reports increased from 709 per quarter in 2002 to 1481 per quarter in 2008. The percentage of reports related to environment as opposed to actual events increased from 15.9% prior to training to 20.3% subsequently (P < .01). Perceived self-empowerment, creating a culture of safety, rose by an average of 0.5 point in all 10 realms immediately posttraining (mean [SD] rating, 3.0 [0.07] vs 3.5 [0.05]; P < .05). This was maintained after a minimum of 2 months. There was a trend toward a hierarchical effect with participants less comfortable confronting incompetence in a physician (mean [SD] rating, 3.1 [0.8]) than in nurses or technicians (mean [SD] rating, 3.4 [0.7] for both) (P>.05). CONCLUSIONS: Crew resource management programs can influence personal behaviors and empowerment. Effects may take years to be ingrained into the culture.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 it