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Record W2054084736 · doi:10.1002/chp.76

Research to practice in The Journal of Continuing Education in the Health Professions : A thematic analysis of volumes 1 through 24

2006· article· en· W2054084736 on OpenAlexaff
Anu MacIntosh‐Murray, Laure Perrier, David A. Davis

Bibliographic record

VenueJournal of Continuing Education in the Health Professions · 2006
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsUniversity of TorontoToronto Public Health
Fundersnot available
KeywordsThematic analysisProfessionalizationQualitative researchKnowledge translationContent analysisMedical educationSociologyEvidence-based practiceEngineering ethicsPsychologyPublic relationsMedicinePolitical scienceSocial scienceKnowledge managementAlternative medicineComputer science

Abstract

fetched live from OpenAlex

INTRODUCTION: Authors have stressed the importance of the broader contextual influences on practice improvement and learning and have expressed concern about gaps between research and practice. This implies a potential expansion of the knowledge base for continuing education in the health professions (CEHP) and an increased emphasis on research evidence for that knowledge. How has the content of The Journal of Continuing Education in the Health Professions (JCEHP) reflected those changes? What are the implications for CEHP practitioners? METHODS: Based on all abstracts, tables of contents, and editorials, a thematic analysis was completed for volumes 1 through 24 of JCEHP. All texts were downloaded into qualitative analysis software and coded. Main code categories included demographics of articles, concepts relating to CEHP as a discipline, knowledge translation and outcomes-oriented continuing education, and theories and frameworks. Key themes were identified. RESULTS: Key themes include categories of topics included in JCEHP over the years, the increased prominence of research in JCEHP, a dual research evidence-to-practice gap, the professionalization of continuing education providers, and interdisciplinarity and the links with broader frameworks that have been proposed for CEHP. DISCUSSION: Two sets of research-to-practice gaps are portrayed in the journal: the gap between clinical research and practice and the gap between research and practice in CEHP. To close the first gap, authors have asserted that the second gap must be addressed, ensuring that CEHP practices themselves are evidence based, driven by theory-based research. This is a variation on prior debates regarding the need to define CEHP as a discipline, which uses the language of professionalization. The increased focus of continuing education on the contexts of health care providers' practices has multiplied the topics that are potentially relevant to CEHP practice.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.060
metaresearch head score (Gemma)0.141
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.940
Threshold uncertainty score0.317

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0600.141
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0200.029
Science and technology studies0.0070.009
Scholarly communication0.0140.005
Open science0.0020.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.062
GPT teacher head0.529
Teacher spread0.467 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
DomainMethods
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

Citations18
Published2006
Admission routes1
Has abstractyes

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