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Record W4394415148 · doi:10.6084/m9.figshare.14515430

Unclear if future physicians are learning about patient-centred care: Content analysis of curriculum at 16 medical schools

2021· dataset· en· W4394415148 on OpenAlexaboutno aff
Natalie N. Anderson, Anna R. Gagliardi

Bibliographic record

VenueFigshare · 2021
Typedataset
Languageen
FieldNursing
TopicHealthcare Education and Workforce Issues
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumMedical educationContent analysisContent (measure theory)PsychologyMedicinePedagogySociologySocial science

Abstract

fetched live from OpenAlex

Given barriers of patient-centred care (PCC) among physicians and trainees, this study assessed how medical schools addressed PCC in curriculum. The authors used content analysis to describe PCC in publicly-available curriculum documents of Canadian medical schools guided by McCormack’s PCC Framework, and reported results using summary statistics and text examples. The authors retrieved 1459 documents from 16 medical schools (median 49.5, range 16–301). Few mentioned PCC (301, 21.2%), and even fewer thoroughly or accurately described PCC. Significantly more clerkship versus pre-clerkship (24.0% vs 12.6%, <i>p</i> p Overall, few documents mentioned or described PCC or related concepts. This varied by school, and was more frequent in clerkship and elective courses, suggesting that student exposure may be brief and variable. Thus, it remains unclear if medical students are fully exposed to what PCC means and how to implement it. Future research is needed to confirm if PCC content in medical curriculum is lacking.

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)0.000
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.205
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2070.001

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 head0.036
GPT teacher head0.316
Teacher spread0.280 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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

Citations0
Published2021
Admission routes1
Has abstractyes

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