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Record W2100580463 · doi:10.1080/01421590801946962

Internal medicine residents’ perceptions of the Mini-Clinical Evaluation Exercise

2008· article· en· W2100580463 on OpenAlexafffund
Samir Malhotra, Rose Hatala, Carol‐Ann Courneya

Bibliographic record

VenueMedical Teacher · 2008
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of British Columbia
FundersUniversity of British Columbia
KeywordsFocus groupCompetence (human resources)Medical educationPerceptionSpecialtyModerationQualitative researchPsychologyAnxietyMedicineFamily medicineSocial psychologyPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: The mini-clinical evaluation exercise (mini-CEX) is a 30 minute observed clinical encounter which allows assessment of a resident's clinical competence with feedback on their performance. AIMS: To assess residents' perceptions of the mini-CEX using qualitative methods. METHODS: After introducing the mini-CEX into the University of British Columbia's Internal Medicine Residency Program, a one hour semi-structured focus group with voluntary first and second year residents was undertaken. The focus groups were conducted by an independent moderator, audio-taped, and transcribed verbatim. Using a phenomenological approach, the comments made by the focus group participants were read independently by the three authors and organized into major themes. RESULTS: The major themes included Education, Assessment and Exam Preparation. Residents described a conflict between the mini-CEX's role as a method of assessment and its utility as an educational tool. During initial mini-CEX encounters, they perceived the assessment format as anxiety-provoking. Over time, they felt that the mini-CEX provided insight into their clinical competence. Participants believed that the mini-CEX experience would benefit them in preparation and successful completion of their national specialty exam. CONCLUSIONS: Residents' perceptions of the mini-CEX reflected a tension between the tool's dual roles of assessment and education.

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)0.004
metaresearch head score (Gemma)0.019
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.390
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0300.000

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 head0.088
GPT teacher head0.447
Teacher spread0.359 · 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.

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

Citations80
Published2008
Admission routes2
Has abstractyes

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