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Record W1965919307 · doi:10.1080/13561820802013347

Best medical practices in social accountability and continuing professional development: A survey and literature review

2008· review· en· W1965919307 on OpenAlexaffabout
Laurence G. Thompson, Penny Davis

Bibliographic record

VenueJournal of Interprofessional Care · 2008
Typereview
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsAccountabilitySocial accountingRelevance (law)Best practicePublic relationsEquity (law)Social responsibilityQuality (philosophy)Medical educationContinuing professional developmentProfessional developmentPolitical scienceMedicinePsychologyBusinessAccounting

Abstract

fetched live from OpenAlex

The authors surveyed Canadian medical schools to identify gaps in current continuing professional development (CPD) with reference to social accountability and compared the results to best practices identified in a literature review. The literature review identified 15 relevant articles. Several themes on best practices emerged. In a fundamental social contract with society, physicians receive privileges in return for responding to social needs. CPD is part of this contract. To meet the terms of the contract, CPD must be credible, unbiased and respond to social needs. Physicians have a responsibility to maintain quality; CPD is one tool to do that. CPD should be measured against values of relevance, quality, cost effectiveness, and equity. The survey asked all 17 Canadian medical schools to report CPD initiatives that respond to societal needs. Eleven schools responded with descriptions of 28 such initiatives. Most initiatives focused on values of quality and relevance; fewer focused on cost effectiveness. Most often, initiatives addressed medical expertise and interprofessional collaboration, least often health advocacy. Faculty initiated most initiatives, rather than students, community or society. These findings lead to recommendations for future directions of CPD.

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)0.003
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.912
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.004
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 head0.063
GPT teacher head0.492
Teacher spread0.429 · 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 designOther design
Domainnot available
GenreReview

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

Citations15
Published2008
Admission routes2
Has abstractyes

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