Improving Teamwork and Communication in Schools of Nursing
Bibliographic record
Abstract
BACKGROUND: Teamwork training has been identified as an intervention to promote collaboration, improve communication, and reduce conflict. While teamwork training has been implemented in the clinical setting, most schools of nursing are lacking in standardized teamwork training programs. LOCAL PROBLEM: A lack of teamwork, poor communication, and deficient conflict resolution skills among faculty and staff was impacting the ability to form supportive relationships in the interest of working collaboratively. METHODS: This quality improvement (QI) project examined perceptions of teamwork at 3 points over 18 months. INTERVENTION: Team Strategies and Tools to Enhance Performance and Patient Safety (TeamSTEPPS) was adapted for the academic setting and used for the intervention. RESULTS: Results indicated significant improvement in Team Structure, Leadership, and Communication. Situation Monitoring and Mutual Support were identified for continued development. CONCLUSION: Results suggest that a QI intervention using TeamSTEPPS improved teamwork, communication, collaboration, and conflict resolution in one academic setting.
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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 | 0.001 | 0.001 |
| 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".