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Record W2001473340 · doi:10.12927/hcq.2015.24124

What Would I Want For My Surgery?

2014· article· en· W2001473340 on OpenAlexaffabout
Allison Muniak, D. Douglas Cochrane, Marlies van Dijk, Andy Hamilton, Stephan Schwarz, John O’Connor, Ramesh Sahjpaul

Bibliographic record

VenueHealthcare Quarterly · 2014
Typearticle
Languageen
FieldHealth Professions
TopicMedical Malpractice and Liability Issues
Canadian institutionsLions Gate HospitalUniversity of British ColumbiaInterior HealthVancouver Coastal Health
Fundersnot available
KeywordsChecklistSurgical teamQuality (philosophy)HierarchyBest practiceValue (mathematics)Perspective (graphical)MedicineAction (physics)Public relationsNursingPsychologySurgeryPolitical scienceLawComputer science

Abstract

fetched live from OpenAlex

If you were to have an operation tomorrow, would you want your surgical team members to feel comfortable speaking up, to defy hierarchy, to interact with each other just as well as they perform technical aspects of the procedure? Would you want to feel like part of the team? Your answers to these admittedly leading questions are based on the culture of the surgical team and the interdependence of team members and are at the heart of a current debate around the surgical checklist's effectiveness. In British Columbia (BC), many individuals responded to the paper by Urbach et al. (2014) that described the minimal impact on patient mortality after implementation of the surgical safety checklist in Ontario. They wrote to the Surgical Quality Action Network (SQAN) to express their perspectives, and interestingly, some refuted and others supported the conclusions. Given the strong reaction this study created in the surgical community, a number of key stakeholders have prepared a response in order to provide another perspective to the article and emphasize the checklist's value for improving the culture of surgical teams.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.764
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.100
GPT teacher head0.454
Teacher spread0.354 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2014
Admission routes2
Has abstractyes

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