ArticleAnnals of surgery open : perspectives of surgical history, education, and clinical approaches2023
Perioperative Team-Based Morbidity and Mortality Conferences: A Systematic Review of the Literature.
Article in Annals of surgery open : perspectives of surgical history, education, and clinical approaches, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed.
- Overcoming Professional Silos and Threats to Psychological Safety: A Conceptual Framework for Successful Team-Based Morbidity and Mortality Conferences.Joint Commission journal on quality and patient safety · 2025Article
- The Quality of Family Medicine Team Conferences Through the Lens of a Director: An Autoethnography.Cureus · 2024Article
- Perspectives on Perioperative Team-Based Morbidity and Mortality Conferences: A Mixed Methods Study.Joint Commission journal on quality and patient safety · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.