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Record W3012592530 · doi:10.5546/aap.2020.eng.125

Adaptation and validation of the Argentine version of an instrument to assess continuing professional development activities

2020· article· en· W3012592530 on OpenAlexaboutno aff
Laura Fraguas

Bibliographic record

VenueArchivos Argentinos de Pediatria · 2020
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsAdaptation (eye)Continuing professional developmentProfessional developmentPsychologyPedagogyNeuroscience

Abstract

fetched live from OpenAlex

INTRODUCTION: Canadian researchers developed a self-administered questionnaire to ask participants of continuing professional development (CPD) activities about their intention to translate the knowledge acquired in the classroom into clinical practice. The questionnaire may facilitate quality improvement processes in such CPD activities. OBJECTIVE: To translate, cross-culturally adapt and validate the original English REACTION questionnaire (A theoRy-basEd instrument to assess the impACT of continuing professional development activities on professional behavIOr chaNge) for its use in Argentina. POPULATION AND METHODS: The 12 questionnaire items were translated and cross-culturally adapted using a five-step process. The construct validity was assessed using an exploratory factor analysis, whereas reliability, with Cronbach's coefficient and the G coefficient. RESULTS: The final questionnaire version was administered to a sample of 133 physicians who attended 9 CPD activities at a teaching hospital in the Autonomous City of Buenos Aires (average age: 38 years; 23.3 %, men; 76 %, family physicians). The exploratory factor analysis showed 3 factors (social influence, confidence in one's abilities, and ethical judgment). Cronbach's coefficient was 0.82 and the G coefficient, 0.72. CONCLUSIONS: The Argentine version of the REACTION questionnaire was adapted and validated to assess the impact of CPD centered on clinical skills training on physicians' intention to implement it in their 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 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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score0.300

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.043
GPT teacher head0.309
Teacher spread0.265 · 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 designObservational
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

Citations4
Published2020
Admission routes1
Has abstractyes

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