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Record W2275644176 · doi:10.1080/10401334.2015.1107483

Continued Validation of the O-SCORE (Ottawa Surgical Competency Operating Room Evaluation): Use in the Simulated Environment

2016· article· en· W2275644176 on OpenAlexaffabout
Matthew J MacEwan, Nancy Dudek, Timothy J. Wood, Wade Gofton

Bibliographic record

VenueTeaching and Learning in Medicine · 2016
Typearticle
Languageen
FieldMedicine
TopicSurgical Simulation and Training
Canadian institutionsCanadian Network for Innovation in EducationUniversity of Ottawa
Fundersnot available
KeywordsChecklistCompetence (human resources)Construct validityRating scaleMedicineOrthopedic surgeryPhysical therapySummative assessmentPsychometricsMedical educationPsychologyMedical physicsSurgeryClinical psychologyFormative assessmentSocial psychology

Abstract

fetched live from OpenAlex

UNLABELLED: CONSTRUCT: The Ottawa Surgical Competency Operating Room Evaluation (O-SCORE) is a 9-item surgical evaluation tool designed to assess technical competence in surgical trainees using behavioral anchors. BACKGROUND: The initial development of the O-SCORE produced evidence for valid results. Further work is required to determine if the use of a single surgeon or an unblinded rater introduces bias. In addition, the relationship of the O-SCORE to other currently used technical assessment tools should be explored to provide validity evidence related to the relationship to other measures. We have designed this project to provide continued validity evidence for the O-SCORE related to these two issues. APPROACH: Nineteen residents and 2 staff Orthopedic Surgeons from the University of Ottawa volunteered to participate in a 2-part OSCE style station. Participants completed a written questionnaire followed by a videotaped 10-minute simulated open reduction and internal fixation of a midshaft radius fracture. Videos were rated individually by 2 blinded staff orthopedic surgeons using an Objective Structured Assessment of Technical Skills (OSATS) global rating scale, an OSATS checklist, and the O-SCORE in random order. RESULTS: O-SCORE results appeared sensitive to surgical training level even when raters were blinded. In addition, strong agreement between two independent observers using the O-SCORE suggests that the measure captures a performance easily recognized by surgical observers. Ratings on the O-SCORE also were strongly associated with global ratings on the currently most validated technical evaluation tool (OSATS). Collectively, these results suggest that the O-SCORE generates accurate, reproducible, and meaningful results when used in a randomized and blinded fashion, providing continued validity evidence for using this tool to evaluate surgical trainee competence. CONCLUSIONS: The O-SCORE was able to differentiate surgical trainee level using blinded raters providing further evidence of validity for the O-SCORE. There was strong agreement between two independent observers using the O-SCORE. Ratings on the O-SCORE also demonstrated equivalence to scores on the most validated technical evaluation tool (OSATS). These results suggest that the O-SCORE demonstrates accurate and reproducible results when used in a randomized and blinded fashion providing continued validity evidence for this tool in the evaluation of surgical competence in the trainees.

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)0.092
metaresearch head score (Gemma)0.158
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.092
Threshold uncertainty score0.487

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0920.158
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.002
Open science0.0030.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.051
GPT teacher head0.323
Teacher spread0.272 · 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

Citations69
Published2016
Admission routes2
Has abstractyes

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