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Record W2763890694 · doi:10.1093/pch/pxx086.089

MENTAL HEALTH CURRICULUM IN CANADIAN PAEDIATRIC TRAINING PROGRAMS: CURRENT TRAINING AND PROGRAM DIRECTOR PERSPECTIVES

2017· article· en· W2763890694 on OpenAlexaboutno aff
Alexandre Rodrigues, Anne J. Atkinson, Daphne J. Korczak

Bibliographic record

VenuePaediatrics & Child Health · 2017
Typearticle
Languageen
FieldHealth Professions
TopicPrimary Care and Health Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumMental healthMedicineMedical educationTraining (meteorology)Child and adolescent psychiatryProgram directorFamily medicinePsychologyPsychiatryPedagogy

Abstract

fetched live from OpenAlex

BACKGROUND: Canadian paediatricians play an important role in caring for and managing children with mental health (MH) problems, yet they consistently identify child and adolescent psychiatry as an area in which they feel less than adequately trained. The Royal College of Physicians and Surgeons of Canada (RCPSC) Objectives for Training Requirements (OTR) presently includes a comprehensive set of child and adolescent MH objectives, intended to better define the knowledge and skills required for paediatricians in practice. However, paediatric training programs across Canada struggle to adequately teach these MH objectives in residency. As an initial step toward improving MH curriculum implementation, an environmental scan of current MH educational strategies and input from paediatric postgraduate Program Directors (PDs) is needed. OBJECTIVES: Primary: To assess and describe current MH training practices in Canadian paediatric residency programs. Secondary: To determine PDs’ perspectives regarding how well the OTR in MH are presently covered. DESIGN/METHOD: Pediatric postgraduate PDs at 17 Canadian academic centres described the MH curriculum in their training programs using an online survey. RESULTS: Fifteen of 17 PDs completed the survey. Ten programs (66.7%) reported having an explicit MH curriculum, which included MH rotations, academic half day lectures, and/or problem-based learning sessions. Thirteen programs (86.7%) had a MH rotation at least 4 weeks in length, of which 10 (76.9%) were mandatory. Twelve of the 13 rotations were supervised by psychiatrists and 1 rotation was supervised by adolescent medicine specialists. Ten PDs (66.7%) reported that their programs covered the MH OTR “well”, with 6 (60%) of those PDs reporting that their graduating trainees felt “somewhat comfortable” managing pediatric MH problems. CONCLUSION: To our knowledge, this is the first study of the MH curriculum and PD perspectives regarding implementation of the RCPSC MH OTR in Canada. Despite MH curriculums, mandatory rotations and adequately covered MH OTR, most PDs note that their graduating trainees feel only somewhat comfortable with MH problems. As an initial insight into the challenges of MH training, pediatric residents’ perceptions as well as objective indicators of competence in the MH OTR are needed, to further understand how and where changes to the MH curriculum in Canadian pediatrics training programs should occur. With the national implementation of Competency Based Medical Education in Canada, educators now have the opportunity to craft clinical experiences which will meet explicitly defined competencies in this important area.

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)0.005
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.940
Threshold uncertainty score0.438

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0050.002
Scholarly communication0.0030.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.060
GPT teacher head0.421
Teacher spread0.361 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2017
Admission routes1
Has abstractyes

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