MétaCan
Menu
Back to cohort
Record W2098058034 · doi:10.2106/jbjs.h.01615

Surgical Site Signing and “Time Out”

2009· article· en· W2098058034 on OpenAlexaff
Geoffrey Johnston, Lee Ekert, Elliott Pally

Bibliographic record

VenueJournal of Bone and Joint Surgery · 2009
Typearticle
Languageen
FieldMedicine
TopicSurgical site infection prevention
Canadian institutionsRoyal University Hospital
Fundersnot available
KeywordsMedicineAccreditationSurgeryGeneral surgeryProtocol (science)Health careSurgical site infectionMedical education

Abstract

fetched live from OpenAlex

BACKGROUND: Wrong-site surgery remains a common problem as voluntary preoperative skin-marking protocols have met only limited success. The purpose of the present study was to investigate orthopaedic surgeons with regard to their site-signing practices and "time out" procedural compliance for emergent and nonemergent surgical cases in a single health-care region before and after the institution of the "time out" protocol of the Joint Commission on Accreditation of Healthcare Organizations. METHODS: In the first study, performed in 2006, the presence of the initials of either the surgeon or the surgical resident in the draped surgical field was documented at the time of forty-eight procedures over a three-month period. In a second study, performed a year later, 231 randomly selected procedures were similarly evaluated, as was the performance of the newly adopted "time out" process. RESULTS: In the first study, after surgical field draping, the surgeon's initials were visible in 67% of emergent cases and 90% of elective cases. In the second study, the surgeon's initials were visible in 61% of emergent cases and 83% of elective cases. The "time out" was performed prior to the skin incision in 70% of the cases, was performed after the incision in 19%, and was not performed at all in 11%. CONCLUSIONS: Orthopaedic surgeons should recognize the value of preoperative skin signing for all procedures and the additional value of the "time out" protocol. We recommend that surgeons strive for 100% compliance with both strategies.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.634
Threshold uncertainty score0.508

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.022
GPT teacher head0.262
Teacher spread0.240 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations54
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Bone and Joint SurgerySame topicSurgical site infection preventionFrench-language works237,207