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Record W2135714247 · doi:10.1037/a0032046

“i want help!”: Psychologists’ and physicians’ competence, barriers, and needs in the management of eating disorders in children and adolescents in Canada.

2013· article· en· W2135714247 on OpenAlexaffabout
Adèle Lafrance Robinson, Ahmed Boachie, Glenys A. Lafrance

Bibliographic record

VenueCanadian Psychology/Psychologie canadienne · 2013
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsSouthlake Regional Health CenterLaurentian University
Fundersnot available
KeywordsPsychologyCompetence (human resources)Eating disordersMedical educationClinical psychologyDevelopmental psychologyApplied psychologyPsychiatrySocial psychologyMedicine

Abstract

fetched live from OpenAlex

Studies show that physicians are dissatisfied with their training in the area of eating disorders in general, and a number of practice barriers and training needs have been identified. There are no known studies examining attitudes and needs of physicians or psychologists with respect to eating disorders in children and adolescents in Canada. This study’s objectives are to examine primary care clinicians’ self-assessed competence, barriers, and needs with respect to the diagnosis and treatment of eating disorders in children and adolescents. A 20-item survey was developed to obtain information from family physicians and psychologists in Ontario, Canada. Findings of this study suggest that, with some exceptions, selfassessments of competence are low, and barriers to practice include lack of skill, case complexity, and lack of resources. Identified training needs suggest that, despite discipline-specific differences, a large proportion of clinicians report an interest in learning more about all areas of the management of pediatric eating disorders, including prevention efforts. In Ontario, primary care clinicians are interested in receiving training and support to better identify and treat children and adolescents with eating disorders. As such, it is worthwhile to increase the number of training opportunities for students and professionals alike.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.054
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.009
GPT teacher head0.250
Teacher spread0.240 · 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 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

Citations25
Published2013
Admission routes2
Has abstractyes

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