Mortality and Morbidity rounds in neonatology: Providers’ experiences and perspectives
Bibliographic record
Abstract
AIM: To describe how Canadian level III neonatal intensive care units (NICU) organise mortality and morbidity rounds (M&MR) and explore clinicians' perspectives. METHODS: This questionnaire study, including open-ended questions, examined the following domains: (1) M&MR format, (2) ethical issues and (3) limitations and perceived effectiveness. RESULTS: Sixteen out of twenty (80%) level III NICUs participated. All deaths and 64% of morbidities were discussed. M&MR occurred monthly (69%) with 3-5 patients discussed hourly (63%) and usually (75%) physician led. Wide variations of practice between centres existed for practical issues, such as administrative support and attendance. 44% of centres allowed nurses to participate. Goals reported by participants were also heterogeneous: reducing medical error (56%), educational (50%), improving communication (44%) and peer review (23%). Practical barriers were time (75%) and lack of resources/structure (25%). Four main themes were as follows: the role of M&MR, the ongoing blame culture, communication issues and the distinction between mortality and morbidity. CONCLUSION: Goals and format of M&MR vary widely. M&MR remains physician-centric, where the blame culture still endures. Neonatal M&MR models should be adapted to the modern NICU to ensure the M&MR stays relevant. It could also benefit from lessons learned in quality improvement.
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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 | 0.000 | 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 | 0.000 |
| 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".