International Perspectives on Modifications to the Surgical Safety Checklist
Bibliographic record
Abstract
Importance: Modification of the World Health Organization's Surgical Safety Checklist (SSC) is a critical component of its implementation. To facilitate the SSC's use, it is important to know how surgical teams modify their SSCs, their reasons for making modifications, and the opportunities and challenges teams face in SSC tailoring. Objective: To study SSC modifications in high-income hospital settings in 5 countries: Australia, Canada, New Zealand, the United States, and the United Kingdom. Design, Setting, and Participants: This qualitative study used semistructured interviews based on the survey used in the quantitative study. Each interviewee was asked a core set of questions and various follow-up questions based on their survey responses. Interviews were conducted from July 2019 to February 2020 in person and online using teleconferencing software. Surgeons, anesthesiologists, nurses, and hospital administrators from the 5 countries were recruited through a survey and snowball sampling. Main Outcomes and Measures: Interviewees' attitudes and perceptions on SSC modifications and their perceived impact on operating rooms. Results: A total of 51 surgical team members and hospital administrators from the 5 countries were interviewed (37 [75%] with >10 years of service; 28 [55%] women). There were 15 (29%) surgeons, 13 (26%) nurses, 15 (29%) anesthesiologists, and 8 (16%) health administrators. Five themes emerged concerning the awareness and involvement in SSC modifications; reasons for modifications; types of modifications; the outcomes of modifications; and perceived barriers to SSC modifications. Based on the interviews, some SSCs may go many years without being revisited or modified. SSCs are modified to ensure they address local issues and standards of practice and that they are fit for purpose. Modifications are also made following adverse events to reduce the risk of reoccurrence. Interviewees described adding, moving, and removing elements from their SSCs, which increased their sense of ownership in their SSC and participation in its performance. Some barriers to modification included leadership and the SSC's inclusion in hospitals' electronic medical record. Conclusions and Relevance: In this qualitative study of surgical team members and administrators, interviewees described addressing contemporary surgical issues through various SSC modifications. The process of SSC modification may improve team cohesion and buy-in in addition to providing opportunities for teams to improve patient safety.
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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 | 0.044 | 0.046 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.009 | 0.022 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".