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Record W4220847550 · doi:10.1016/j.surge.2022.01.009

A scoping review of assessment methods of competence of general surgical trainees

2022· review· en· W4220847550 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Surgeon · 2022
Typereview
Languageen
FieldMedicine
TopicSurgical Simulation and Training
Canadian institutionsnot available
Fundersnot available
KeywordsCompetence (human resources)Medical educationMedicineMEDLINEFamily medicinePsychology

Abstract

fetched live from OpenAlex

BACKGROUND: Only rigorous evaluation of competence will result in the production of safe surgeons that are able to provide the best care for patients. The development of competency-based assessment should ultimately be evidence driven. OBJECTIVES: Explore the volume of existing evidence pertaining to the different objective assessment methods reported in the literature. ELIGIBILITY CRITERIA: Studies describing objective assessment of postgraduate general surgical trainees within the last 20 years. SOURCES OF EVIDENCE: PubMed, Ovid Medline and Web of Sciences. CHARTING METHODS: A data chart proforma was designed and data were extracted into tables. Basic numerical analysis of extracted data and narrative synthesis of charted data. RESULTS: A total of 343 papers were reviewed. 26 were eligible for inclusion. 92% of articles were published from 2008 onwards. 50% have been published in the last five years. The articles originated from 6 different countries, predominantly the United Kingdom (42%), followed by the United States of America (38%). In addition, a small number were published from Canada (8%), Japan (4%), Germany (4%) and Australia (4%). UK publications were predominantly between 2008 and 2014 while the USA had a later predominance between 2015 and 2018. 42% were based on quantitative methodology, 27% had a qualitative approach while 31% had mixed analysis. There were sixteen assessment methods presented. The most common type of assessment was Objective Structured Assessments (27%), which included Objective Structured Assessment of Technical Skill (OSATS) (23%) and Objective Structured Assessment of Non-Technical Skill (4%). Procedure Based Assessment (PBA) (23%) and Entrustability Scales (23%) were also prevalent. CONCLUSIONS: This scoping review has identified a range of different assessment methods. The assessment methods with a higher volume and level of supporting evidence were OSATS, PBAs and Entrustability Scales. There was a lower volume and level of supporting evidence found within this review for the remaining assessment methods.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.767
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
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)0.0040.000

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 head0.208
GPT teacher head0.524
Teacher spread0.317 · 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