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Record W1999081945 · doi:10.1177/1553350607308466

Evaluating Intraoperative Laparoscopic Skill: Direct Observation Versus Blinded Videotaped Performances

2007· article· en· W1999081945 on OpenAlexaff
Melina C. Vassiliou, Liane S. Feldman, Shannon A. Fraser, Patrick Charlebois, Prosanto Chaudhury, Donna Stanbridge, Gerald M. Fried

Bibliographic record

VenueSurgical Innovation · 2007
Typearticle
Languageen
FieldMedicine
TopicSurgical Simulation and Training
Canadian institutionsMcGill University
Fundersnot available
KeywordsIntraclass correlationInter-rater reliabilityReliability (semiconductor)MedicineConstruct validityLaparoscopic cholecystectomyPhysical therapyIntra-rater reliabilityMedical physicsPsychologyRating scalePsychometricsSurgeryClinical psychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

The Global Operative Assessment of Laparoscopic Skill (GOALS) has been shown to meet high standards for direct observation. The purpose of this study was to investigate the reliability and validity of GOALS when applied to blinded, videotaped performances. Five novice surgeons and 5 experienced surgeons were each evaluated by 2 observers during a laparoscopic cholecystectomy. Subsequently, 4 laparoscopists (V1 to V4) evaluated the videotaped procedures using GOALS. Two of the raters (V1 and V3) had prior experience using GOALS. The interrater reliabilities between video raters (VRs) and between VRs and direct raters (DRs) were calculated using the intraclass correlation coefficient. Construct validity was assessed using 2-way analysis of variance. Interrater reliability between the 4 VRs and the 2 DRs was 0.72. The intraclass correlation coefficient for the 4 VRs was 0.68 and for each VR compared with the mean DR was 0.86, 0.39, 0.94, and 0.76, respectively. All raters, except V2, differentiated between novice and experienced groups (P values ranged from .01 to .05). These data suggest that GOALS can be used to assess laparoscopic skill based on videotaped performances but that rater training may play an important role in ensuring the reliability and validity of the instrument. Experience with the tool in the operating room may improve the reliability of video rating and could be of value in training evaluators.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.829
Threshold uncertainty score0.640

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.205
GPT teacher head0.453
Teacher spread0.248 · 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 designOther design
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

Citations57
Published2007
Admission routes1
Has abstractyes

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