Improving Communication Between Nurses and Resident Physicians: A 3-Year Quality Improvement Project
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Breakdown in communication is a predictor of both nursing and surgical errors. In a 2013 survey at our institution, staff on the general surgery unit identified nurse-resident communication as the most important issue related to patient safety. The general surgery Comprehensive Unit-based Safety Program sought to improve nurse-resident communication through a 3-year quality improvement initiative. A multidisciplinary working group conducted a root-cause analysis and developed initiatives addressing priority issues in nurse-resident communication. Two main interventions were developed: structured face-to-face interaction at discharge rounds and notebooks to transfer nonurgent messages. Compliance was evaluated. The primary outcomes of percieved communication and collaboration were assessed using a validated survey distributed to residents and unit nurses before the intervention, 9 months after, and 2.5 years after the intervention. The interventions were associated with improvements in perceived communication and team function. Survey scores, on average, were significant higher at 9 months postintervention and remained significant compared with preintervention after 2.5 years (from 57% to 74%, P = .01, then 72%, P = .02, among residents; and from 63% to 80%, P = .01, then 77% among nurses). Our framework and initiatives addressing nurse-resident communication may be useful for other teams interested in addressing this critical patient safety issue.
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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 | 0.004 | 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 | 0.001 | 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