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Record W1987462158 · doi:10.1080/01421590801953018

Teaching and assessment of explanation and planning in medical schools in the United Kingdom: Cross sectional questionnaire survey

2009· article· en· W1987462158 on OpenAlexaboutno aff
Susan Gillard, John Benson, Jonathan Silverman

Bibliographic record

VenueMedical Teacher · 2009
Typearticle
Languageen
FieldMedicine
TopicClinical Reasoning and Diagnostic Skills
Canadian institutionsnot available
Fundersnot available
KeywordsSummative assessmentFormative assessmentMedical educationMedicineCross-sectional studyQuestionnaireMedical schoolFamily medicinePsychologyPedagogySociology

Abstract

fetched live from OpenAlex

BACKGROUND: The second half of the consultation (explanation and planning) has been described as neglected in communication skills teaching in medical schools, with programmes concentrating on information gathering. AIMS: To identify the extent and ways in which explanation and planning is taught in medical schools in the United Kingdom. METHODS: Questionnaire mailed to consultation teaching leads. RESULTS: Teaching in explanation and planning occurred in 32/32 medical schools. Teaching commenced in years 1 or 2 in 14/32 and year three onwards in 17/32 medical schools. Teaching took place over one year in 12/32, two years in 13/32, three years in 3/32 and 4 years in 2/32 medical schools. Different teaching methods were used, but most use discussion and rehearsal of skills with a simulated patient (21/32). 20/32 medical schools based their teaching on a published consultation model, with 18/20 using the Calgary Cambridge Guide to the Consultation. 31/32 medical schools examined their students in explanation and planning: formative assessment (3/31) or summative (16/31) or both (9/31). CONCLUSIONS: There is now universal teaching and almost universal assessment of the second half of the consultation in medical schools in the UK. Timing of teaching, educational methods, consultation models and assessment used varies between schools.

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)0.009
metaresearch head score (Gemma)0.123
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.114
Threshold uncertainty score0.884

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.123
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.088
GPT teacher head0.460
Teacher spread0.372 · 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

Citations28
Published2009
Admission routes1
Has abstractyes

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