Checklist feasibility and impact in gastrointestinal endoscopy: a systematic review and narrative synthesis
Bibliographic record
Abstract
Abstract Background and study aim Checklists prevent errors and have a positive impact on patient morbidity and mortality in surgical settings. Despite increasing use of checklists in gastrointestinal endoscopy units across many countries, a summary of cumulated experience is lacking. The aim of this study was to identify and evaluate the feasibility of successful checklist implementation in gastrointestinal endoscopy units and summarise the evidence of its impact on the commitment in safety culture. Methods A comprehensive literature search was performed identifying the use of a checklist or time-out in endoscopy units from 1978 to January 2020 using OVID MEDLINE, EMBASE, and ISI Web of Knowledge databases, with search terms related to checklist and endoscopy. We summarised overall adherence to checklists from included studies through a narrative synthesis, characterizing barriers and facilitators according to nurse and physician perspectives, while also summarizing safety endpoints. Results The seven studies selected from 673 screened citations were highly heterogeneous in terms of methodology, context, and outcomes. Across five of these, checklist adherence rates post-intervention varied for both nurses (84 % to 96 %) and physicians (66 % to 95 %). Various facilitators (education, continued reassessment) and barriers (lack of safety culture, checklist completion time) were identified. Most studies did not report associations between checklist implementation and clinical outcomes, except for better team communication. Conclusion Implementation of a gastrointestinal endoscopy checklist is feasible, with an understanding of relevant barriers and facilitators. Apart from a significant increase in the perception of team communication, evidence for a measurable impact attributable to gastrointestinal checklist implementation on endoscopic processes and safety outcomes is limited and warrants further study.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.053 | 0.210 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.009 | 0.009 |
| Bibliometrics | 0.015 | 0.016 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".