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Record W3164233768 · doi:10.1111/medu.14573

Exploring the use of rating scales with entrustment anchors in workplace‐based assessment

2021· article· en· W3164233768 on OpenAlexafffundabout
Trevor Robinson, Natalie Wagner, Adam Szulewski, Nancy Dudek, Warren J. Cheung, Andrew K. Hall

Bibliographic record

VenueMedical Education · 2021
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of OttawaRoyal College of Physicians and Surgeons of CanadaOttawa HospitalQueen's University
FundersDepartment of Medicine, School of Medicine, Queen's University
KeywordsCompetence (human resources)Rating scaleMedical educationContext (archaeology)PsychologyMedicineNursingSocial psychology

Abstract

fetched live from OpenAlex

PURPOSE: Competency-based medical education (CBME) has prompted widespread implementation of workplace-based assessment (WBA) tools using entrustment anchors. This study aimed to identify factors that influence faculty's rating choices immediately following assessment and explore their experiences using WBAs with entrustment anchors, specifically the Ottawa Surgical Competency Operating Room Evaluation scale. METHOD: A convenience sample of 50 semi-structured interviews with Emergency Medicine (EM) physicians from a single Canadian hospital were conducted between July and August 2019. All interviews occurred within two hours of faculty completing a WBA of a trainee. Faculty were asked what they considered when rating the trainee's performance and whether they considered an alternate rating. Two team members independently analysed interview transcripts using conventional content analysis with line-by-line coding to identify themes. RESULTS: Interviews captured interactions between 70% (26/37) of full-time EM faculty and 86% (19/22) of EM trainees. Faculty most commonly identified the amount of guidance the trainee required as influencing their rating. Other variables such as clinical context, trainee experience, past experiences with the trainee, perceived competence and confidence were also identified. While most faculty did not struggle to assign ratings, some had difficulty interpreting the language of entrustment anchors, being unsure whether their assessment should be retrospective or prospective in nature, and if/how the assessment should change whether they were 'in the room' or not. CONCLUSIONS: By going to the frontline during WBA encounters, this study captured authentic and honest reflections from physicians immediately engaged in assessment using entrustment anchors. While many of the factors identified are consistent with previous retrospective work, we highlight how some faculty consider factors outside the prescribed approach and struggle with the language of entrustment anchors. These results further our understanding of 'in-the-moment' assessments using entrustment anchors and may facilitate effective faculty development regarding WBA in CBME.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation 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 score0.655
Threshold uncertainty score0.724

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.078
GPT teacher head0.371
Teacher spread0.294 · 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 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

Citations16
Published2021
Admission routes3
Has abstractyes

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