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Record W2038700975 · doi:10.1177/1553350609340895

Attitudes of Patients and Care Providers Toward a Surgical Site Marking Policy

2009· article· en· W2038700975 on OpenAlexaffabout
Amanda E. Goldberg, Julie L. Harnish, Stacey Stegienko, David R. Urbach

Bibliographic record

VenueSurgical Innovation · 2009
Typearticle
Languageen
FieldMedicine
TopicDigital Imaging in Medicine
Canadian institutionsUniversity of TorontoToronto General Hospital
Fundersnot available
KeywordsMedicineDelegateHealth careDignityMedical emergencySurgeryGeneral surgery

Abstract

fetched live from OpenAlex

BACKGROUND: In the fall of 2005, the University Health Network in Toronto, Canada, initiated a policy requiring the surgeon-or his or her delegate-to sign the incision site for all operations. Little is known about what health care providers and patients think about official surgical site marking policy. METHOD: Twenty-one patients and health care providers were interviewed, and the authors conducted field observations of surgeons while they marked their patients. The data were analyzed using grounded theory methods. FINDINGS: Surgical site marking was perceived to be a safety precaution for operations involving multiple sides and structures but not for cases where there is no uncertainty about the intended operative site. Participants believed that marking could also facilitate error if the wrong side was marked. Site marking was perceived to have the effect of ensuring that the surgeon meets with the patient prior to the operation on the day of surgery. Concerns were raised with respect to who should mark patients and marking surgical sites for genital surgery or other private body sites. CONCLUSIONS: For operations that involve multiple possible surgical sites, site marking should be carried out by individuals who are knowledgeable about the patient and the proposed procedure. For operations in which there is no uncertainty about the intended site, interventions other than site marking could be implemented to ensure patient-surgeon interactions on the day of surgery. Surgical site marking procedures should respect patient dignity and privacy.

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 imitation

Not 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.

metaresearch head score (Codex)0.018
metaresearch head score (Gemma)0.055
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.018
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.055
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.006
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.021
GPT teacher head0.322
Teacher spread0.302 · 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 source (direct Gemma or distilled Codex), 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

Citations2
Published2009
Admission routes2
Has abstractyes

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