Perioperative Team-Based Morbidity and Mortality Conferences: A Systematic Review of the Literature
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
Objective: This systematic review aimed to identify key elements of perioperative team-based morbidity and mortality conferences (TBMMs) and their impact on patient safety, education, and quality improvement outcomes. Background: Patient safety in the perioperative period is influenced by system, team, and individual behaviors. However, despite this recognition, single-discipline morbidity and mortality conferences remain a mainstay of educational and quality improvement efforts. Methods: A structured search was conducted in MEDLINE Complete, Embase, Web of Science, ClinicalTrials.gov, Cochrane CENTRAL, and ProQuest Dissertations and Theses Global in July 2022. Search results were screened, and the articles meeting inclusion criteria were abstracted. Results: Seven studies were identified. Key TBMM elements were identified, including activities done before the conference-case selection and case investigation; during the conference-standardized presentation formats and formal moderators; and after the conference-follow-up emails and quality improvement projects. The impacts of TBMMs on educational, safety, and quality improvement outcomes were heterogeneous, and no meta-analysis could be conducted; however, improvement was typically shown in each of these domains where comparisons were made. Conclusions: Recommendations for key TBMM elements can be drawn from the reports of successful perioperative TBMMs. Possible benefits of structured TBMMs over single-discipline conferences were identified for further exploration, including opportunities for rich educational contributions for trainees, improved patient safety, and the potential for system-wide quality improvement. Design and implementation of TBMM should address meticulous preparation of cases, standardized presentation format, and effective facilitation to increase the likelihood of realizing the potential benefits.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.010 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| 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