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Record W147124215

CME for child psychiatrists: recommendations for learners, planners and presenters.

2007· article· en· W147124215 on OpenAlexaff
John Teshima

Bibliographic record

VenuePubMed · 2007
Typearticle
Languageen
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
Fundersnot available
KeywordsContinuing medical educationMedical educationPsychologyChild and adolescent psychiatryContinuing educationMedicinePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

INTRODUCTION: Medical school and residency are only the beginning of a child psychiatrist's education. For the rest of her/his career, a child psychiatrist will need to learn on an ongoing basis. There will always be new understandings, new treatments, new issues to master. Child psychiatrists will always need to further their knowledge, develop new skills, and improve existing skills. For these reasons at very least, all child psychiatrists will need to participate in Continuing Medical Education (CME) activities. Many child psychiatrists will also be involved in the design and delivery of these CME activities. In both cases, understanding more about the effectiveness of CME will be important to the decisions they make. METHOD: This article itself is not a systematic review of the literature, but it will highlight some of the important findings from existing systematic reviews of the CME literature. Based on these findings, the article will make recommendations for both child psychiatrists as learners and child psychiatrists as CME presenters. RESULTS: As learners, child psychiatrists need to be able to select CME activities that are most likely to lead to improvements in their practices. As planners and presenters, child psychiatrists need to design and deliver CME activities that are most likely to improve the practices of their target audiences. However, not all child psychiatrists have the time to review the CME literature in addition to reviewing the other bodies of literature relevant to their practices. CONCLUSION: Thus, the purpose of this article is to provide an overview of the key findings in the CME literature, focusing on the effectiveness of CME.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.800
Threshold uncertainty score0.684

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.079
GPT teacher head0.403
Teacher spread0.324 · 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 designNot applicable
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

Citations2
Published2007
Admission routes1
Has abstractyes

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