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Beta Test Results of a New System Assessing Competence in Laparoscopic Surgery

2005· article· en· W2027927451 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of the American College of Surgeons · 2005
Typearticle
Languageen
FieldMedicine
TopicSurgical Simulation and Training
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicineQuartileCompetence (human resources)Competency assessmentCognitionTest (biology)Laparoscopic surgerySignificant differenceCognitive testPhysical therapyMedical educationLaparoscopySurgeryInternal medicinePsychology

Abstract

fetched live from OpenAlex

BACKGROUND: There is currently a need for objective measures of surgical competence. Such measures should assess knowledge, judgment, and manual skills. The Fundamentals of Laparoscopic Surgery (FLS) program was developed by the Society of American Gastrointestinal and Endoscopic Surgeons to meet these criteria. The FLS assessment includes a multiple-choice cognitive test and a manual skills test. We present the results of validation studies of this novel assessment tool. STUDY DESIGN: Beta testing of the FLS examination was undertaken at 7 sites by 70 surgeons representing 4 levels of experience and training. Surgeons provided information about their prior experience and indicated a self-assessment of their laparoscopic competence. Results were assessed by ANOVA followed by orthogonal contrasts. RESULTS: Cognitive performance by training level: There was no difference between fellows and staff in percentage of questions answered correctly, but there was a discrepancy between junior and senior residents and between residents and senior surgeons (p < 0.01). Cognitive performance by laparoscopic experience quartiles: There were notable contrasts between the first and second quartiles of experience (p < 0.02) and between the third and fourth quartiles (p < 0.01). No marked difference was found between the second and third quartiles. Cognitive performance compared with self-assessment: Test results were substantially different (p < 0.01) between test-takers who assessed themselves as "better than average" and those who assessed themselves as "average" or "below average." Manual skills performance by training level: The major difference was found between junior residents versus senior residents, fellows or staff (p < 0.01). Manual skills performance by laparoscopic experience level: Differences were primarily seen between the first two quartiles and the last two quartiles of laparoscopic experience (p < 0.001). Manual skills performance compared with self-assessment: Those who assessed themselves as "above average" in laparoscopic skill performed markedly better than those indicating they had "average" or "below average" skill (p < 0.01). CONCLUSIONS: Beta test results for the FLS examination demonstrate satisfactory reliability, appropriate psychometric properties, and substantial initial validity. The FLS project is one of the first validated surgical education efforts to assess the competence of surgeons in a specific field.

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.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.280

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.037
GPT teacher head0.304
Teacher spread0.267 · 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