Evidence map›Paper›PMID 41680427›Full record

ArticleNPJ digital medicine2026

Validating an adaptive digital assessment of youth mental health needs: a cross-sectional study.

William Capon, Ian B Hickie, Mathew Varidel, Haley M LaMonica, Luke J Borgnolo, Jacob J Crouse, Elizabeth M Scott, Frank Iorfino

Abstract read
In one paragraph

Article in NPJ digital medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

8 authors.

William CaponBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia. william.capon@sydney.edu.au.
Ian B HickieBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.
Mathew VaridelBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.
Haley M LaMonicaBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.
Luke J BorgnoloBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.
Jacob J CrouseBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.
Elizabeth M ScottBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.
Frank IorfinoBrain and Mind Centre, The University of Sydney, Sydney, NSW, Australia.

Funding

Australian Government Research Training Program (RTP) Scholarship N/ABill and Patricia Richie Foundation N/AMedical Research Future Fund MRFAI000097National Health and Medical Research Council 2008197National Health and Medical Research Council 511921National Health and Medical Research Council GNT2018157
6 · The paper itself

Abstract

Digital mental health assessments can effectively link young people to appropriate health services. Current approaches often lack personalization, failing to recognize the complex and multidimensional needs of young people. 1734 young people aged 12-25 years completed seven standardized measures (49 items) using a digital health assessment tool while receiving mental health care. A multidimensional computerized adaptive test (MCAT) was developed to predict scores on seven standardized scales, spanning clinical symptoms, suicidality, functioning, and alcohol use. Different adaptive tests were simulated under various stopping criteria configurations. Ten-fold cross-validation was performed to determine the accuracy and efficiency of the multidimensional assessment. By administering a personalized subset of items to each individual, the average number of assessment items could be reduced by 69% while maintaining excellent agreement with full-length scores for suicidality (ICC = 0.96), anxiety (ICC = 0.92), and alcohol use (ICC = 0.91), and good agreement for psychological distress (ICC = 0.88), functioning (ICC = 0.86), psychosis (ICC = 0.78), and mania (ICC = 0.75). Estimated average assessment time decreased from 10.5 minutes to under 3.3 minutes (49 items reduced to 15.3 items, per person, with mean absolute agreement ICC = 0.87). This adaptive digital assessment can screen across key domains to identify mental health needs and complexity in youth mental health, leading to rapid decisions about treatment needs and care pathways.

Identifiers

PMID41680427
PMCPMC12916832

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.