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Record W4296781069 · doi:10.1093/pch/21.supp5.e80a

Child and Adolescent Online Mental Health Information: Parent and Adolescent Perspectives to Inform Development of Canadian Mental Health E-Resources for Paediatrics

2016· article· en· W4296781069 on OpenAlexaffabout
M Jovanovic, Sunseeta Monga, D Korczak, Shan Grewal

Bibliographic record

VenuePaediatrics & Child Health · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsToronto Public Health
Fundersnot available
KeywordsMental healthPresentation (obstetrics)AnxietyChild and adolescent psychiatryResource (disambiguation)PsychologyAdolescent healthMedicineMedical educationPsychiatryNursingComputer science

Abstract

fetched live from OpenAlex

Abstract BACKGROUND: Parents and adolescents are searching online for information about mental health. Google searches are frequently used, but do not always yield accurate and reliable information that is presented in a user-friendly manner. The first step toward the development of a useful online child mental health resource is to examine existing web content and understand parent and adolescent needs from online mental health material. OBJECTIVES: The objectives of this study are two-fold (i) To conduct an environmental scan of existing online repositories of child and adolescent mental health information with respect to both parent and adolescent friendly content on three identified topic areas for the initial phase of the project (Anxiety, Eating Disorders, Suicide Prevention) (ii) To determine parent and adolescent needs from, and perspectives about, current web-based information with respect to site design, content and limitations to inform the creation of a pediatric hospital based web site with a broad range of information pertaining to child and adolescent mental health. DESIGN/METHODS: An environmental scan was conducted to assess available online information about three identified topic areas as described above. As the project continues, the scan will be expanded to include other topic areas in child and adolescent mental health. Parallel parent needs assessment surveys were conducted. As our adolescent section was being developed, adolescents were surveyed for their feedback regarding illustrations and presentation of current content. RESULTS: The environmental scan identified 17 hospital websites for in-depth review. Although some websites had information on diverse mental health topics, few contained comprehensive information on a broad range of topics. For example, only 9 had information about anxiety disorders. Additionally, an overall lack of adolescent specific content was noted. Parent surveys revealed significant interest in a strong stand-alone site where they could access mental health information. Parents also indicated that they would prefer separate parent and teen content areas. CONCLUSION: Current websites providing information regarding child and adolescent mental health, while plentiful, lack sufficient scope, adolescent-friendly content, and interactivity that limit their utility for parents and families. Development of a high-quality and accessible child and adolescent mental health website requires an interdisciplinary collaboration of experts in mental health, website design, and knowledge dissemination. This study has informed the development of a new online resource, interactive elements of which will be shared as part of the oral presentation.

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)0.008
metaresearch head score (Gemma)0.015
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 score0.412
Threshold uncertainty score0.829

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0060.001
Scholarly communication0.0060.004
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.030
GPT teacher head0.359
Teacher spread0.330 · 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

Citations0
Published2016
Admission routes2
Has abstractyes

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