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Record W4317895159 · doi:10.1370/afm.21.s1.4398

Use of The CPD-Reaction Questionnaire to Evaluate Continuing Professional Development Activities for Health Professionals

2023· article· en· W4317895159 on OpenAlexaboutno aff
Gloria Ayivi‐Vinz, Lucas Gomes Souza, France Légaré

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsCritical appraisalCompetence (human resources)Data extractionGrey literatureHealth professionalsSystematic reviewContinuing professional developmentContext (archaeology)MEDLINEMedical educationPsychologyMedicineHealth careProfessional developmentAlternative medicine

Abstract

fetched live from OpenAlex

Context: Continuing professional development (CPD) is essential for physicians to maintain and enhance their knowledge, competence, skills, and performance. Web-based CPD plays an essential role. However, validated theory-informed measures of their impact are lacking. The CPD-REACTION questionnaire is a validated theory-informed tool that evaluates the impact of CPD activities on clinicians’ behavioral intentions. Objective: We aimed to review the use of the CPD-REACTION questionnaire, which measures the impact of CPD activities on health professionals’ intentions to change clinical behavior. Study Design: We conducted a systematic review informed by the Cochrane review methodology. We searched eight databases from January 1, 2014, to April 20, 2021. Gray literature was identified using Google Scholar and Research Gate. Setting: Eligibility criteria included all health care professionals, any study design, and participants’ completion of the CPD-REACTION questionnaire either before, after, or before and after a CPD activity. Study selection, data extraction, and study quality evaluation were independently performed by two reviewers. Outcome: We extracted data on characteristics of studies, the CPD activity, and CPD-REACTION use. Instrument: We used the Mixed Methods Appraisal Tool to evaluate the methodological quality of the studies. The results are presented as a narrative synthesis reported according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. Results: Overall, 65 citations were eligible and referred to 52 primary studies. The number of primary studies reporting the use of CPD-REACTION has increased continuously since 2014 from 1 to 16 publications per year (2021). It is available in English, French, Spanish, and Dutch. Most of the studies were conducted in Canada (30/52, 58%). Furthermore, 40 different clinical behaviors were identified. The most common CPD format was e-learning (34/52, 65%). The original version of the CPD-REACTION questionnaire was used in 31 of 52 studies, and an adapted version in 18 of 52 studies. In addition, 31% (16/52) of the studies measured both the pre- and post-intervention scores. In 22 studies, CPD providers were university-based. Most studies targeted interprofessional groups of health professionals (31/52, 60%). Conclusions: The use of CPD-REACTION has increased rapidly and across a wide range of clinical behaviors and formats, including a web-based format.

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)0.123
metaresearch head score (Gemma)0.212
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.877
Threshold uncertainty score0.649

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1230.212
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.011
Bibliometrics0.0140.013
Science and technology studies0.0010.001
Scholarly communication0.0030.005
Open science0.0030.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.076
GPT teacher head0.450
Teacher spread0.374 · 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 designObservational
DomainEvaluation
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

Citations0
Published2023
Admission routes1
Has abstractyes

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