Evidence map›Paper›PMID 41460022›Full record

ArticleClinical child psychology and psychiatry2026

eMental Health Resources for Youth: Parent Perceptions of AI Matched eMental Health Resources for Their Child.

Laura de la Roche, Daphne Korczak, Alice Charach, Catherine Birken, Kimberley Tsujimoto, Jennifer Crosbie, Katherine Cost, Anett Schumacher, Evdokia Anagnostou, Suneeta Monga and 1 more

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In one paragraph

Article in Clinical child psychology and psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Laura de la RocheDepartment of Psychology, Queen's University, Kingston, ON, Canada.ORCID 0000-0002-9032-269X
Daphne KorczakDepartment of Psychiatry, The Hospital for Sick Children, Toronto, ON, Canada.
Alice CharachDepartment of Psychiatry, Temerty Faculty of Medicine, Toronto, ON, Canada.
Catherine BirkenDepartment of Pediatrics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
Kimberley TsujimotoDepartment of Psychiatry, The Hospital for Sick Children, Toronto, ON, Canada.
Jennifer CrosbieDepartment of Psychiatry, The Hospital for Sick Children, Toronto, ON, Canada.
Katherine CostDepartment of Psychiatry, The Hospital for Sick Children, Toronto, ON, Canada.
Anett SchumacherDepartment of Psychiatry, The Hospital for Sick Children, Toronto, ON, Canada.ORCID 0000-0002-8549-4577
Evdokia AnagnostouHolland Bloorview Kids Rehabilitation Hospital, Toronto, ON, Canada.
Suneeta MongaDepartment of Psychiatry, Temerty Faculty of Medicine, Toronto, ON, Canada.
Elizabeth KelleyDepartment of Psychology and Psychiatry, Queen's University, Kingston, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite high prevalence rates of pediatric mental health challenges, estimates suggest over 50% of youth with mental health conditions have never accessed services. eMental health resources have increased over the past two decades to mitigate barriers to access. Positive attitudes towards eMental health resources have been reported in adults; however, little research has focused on parent perceptions of pediatric eMental health resources. The current study explored parent perceptions of matched eMental health resources for their child using machine learning algorithms. Parents were recruited from a longitudinal mental health study; 49 parents participated in a semi-structured individual virtual interview. Interpretative description analysis generated two primary themes: (1) feelings on AI use to assign matched mental health resources and (2) parent perceptions of eMental health resources for their child. Findings support a general acceptance by parents of the integration of AI in assigning and providing them with mental health resources for their child contingent on clinician oversight. This study fills a distinct gap in the literature on parent perceptions of pediatric eMental health resources and the role of AI, which are integral to consider in the development and dissemination of resources.

Indexed as

Machine LearningMental Health ServicesParentsAdolescentAdultChildFemaleHumansLongitudinal StudiesMaleQualitative ResearcheMental health resourcesmachine learning algorithmsmental healthparent perceptionsqualitative researchvirtual resources

Identifiers

PMID41460022
PMCPMC12992640

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.