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Record W3192883988 · doi:10.1080/17518423.2021.1960921

Communicating about Mental Health with Youth and Their Families: A Scoping Review of Best Practices and Implications for Youth with Disabilities

2021· review· en· W3192883988 on OpenAlexaff
Revi Bonder, Arbella Yonadam, Andrea Snider, Dilshad Kassam-Lallani, Amy C. McPherson

Bibliographic record

VenueDevelopmental Neurorehabilitation · 2021
Typereview
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsPublic Health OntarioUniversity of TorontoHolland Bloorview Kids Rehabilitation Hospital
Fundersnot available
KeywordsMental healthPsychologyAutonomyInclusion (mineral)Best practicePopulationMedical educationApplied psychologyPsychiatryNursingMedicineSocial psychology

Abstract

fetched live from OpenAlex

Minimal attention has been placed on supporting the mental health needs of youth with disabilities. Due to a dearth of research on best practices in mental health communication with youth with disabilities, the aim of the scoping review was to identify existing peer-reviewed evidence regarding mental health communication for the general youth population in clinical settings. Three electronic databases were searched. Inclusion criteria were: 1) published in English between 2009 and 2019; 2) children and youth and/or their parents/caregivers; 3) addressed communication-based mental health practices; 4) based in pediatric health care settings. Seven articles were included. Promoting autonomy and engagement, building collaboration and trust, and supplementing conversations with alternative communication approaches were identified as important for having mental health conversations. While implications can be drawn, more work is needed for clinicians to have a rigorous evidence base to draw upon when having these conversations with youth with disabilities.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-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 score0.649
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.253
GPT teacher head0.476
Teacher spread0.223 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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