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Record W4221099715 · doi:10.2196/36948

Use of the CPD-REACTION Questionnaire to Evaluate Continuing Professional Development Activities for Health Professionals: Systematic Review

2022· review· en· W4221099715 on OpenAlexaffvenueabout
Gloria Ayivi-Vinz, Felly Bakwa Kanyinga, Lysa Bergeron, Simon Décary, Évèhouénou Lionel Adisso, Hervé Tchala Vignon Zomahoun, Sam J. Daniel, Martin Tremblay, Karine V. Plourde, Sabrina Guay-Bélanger, France Légaré

Bibliographic record

VenueJMIR Medical Education · 2022
Typereview
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsCentre intégré universitaire de santé et de services sociaux de la Capitale-NationaleUniversité LavalCentres Intégré Universitaires de Santé et de Services SociauxUniversité de SherbrookeCentre Integre de Sante et de Services Sociaux de Laval
Fundersnot available
KeywordsContinuing professional developmentCompetence (human resources)Health professionalsMedical educationPsychologyProfessional developmentContinuing educationMedicineHealth carePolitical scienceSocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: 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. We examined CPD activity characteristics, ranges of intention, mean scores, score distributions, and psychometric properties. METHODS: We conducted a systematic review informed by the Cochrane review methodology. We searched 8 databases from January 1, 2014, to April 20, 2021. Gray literature was identified using Google Scholar and Research Gate. 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 2 reviewers. We extracted data on characteristics of studies, the CPD activity (eg, targeted clinical behavior and format), and CPD-REACTION use. We used the Mixed Methods Appraisal Tool to evaluate the methodological quality of the studies. Data extracted were analyzed using descriptive statistics and the Student t test (2-tailed) for bivariate analysis. 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 postintervention 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. Further research should investigate the most effective way to adapt the CPD-REACTION questionnaire to a variety of clinical behaviors and contexts. TRIAL REGISTRATION: PROSPERO CRD42018116492; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=116492.

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)0.005
metaresearch head score (Gemma)0.025
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.428
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.025
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 integrity0.0000.001
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 head0.084
GPT teacher head0.508
Teacher spread0.423 · 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 designSystematic review
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

Citations28
Published2022
Admission routes3
Has abstractyes

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