Evidence map›Paper›PMID 40574496›Full record

ArticleChild and adolescent mental health2026

Technology Matters: A model for translating digital and data science innovations into Child and Adolescent Mental Health Services.

Alice Wickersham, William Bennett, Zoë Firth, Craig Colling, Jessica Penhallow, Johnny Downs, CAMHS Digital Lab

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Child and adolescent mental health, 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

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

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

7 authors.

Alice WickershamCAMHS Digital Lab, Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.ORCID https://orcid.org/0000-0002-7402-7690
William BennettCAMHS Digital Lab, Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Zoë FirthCAMHS Digital Lab, Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Craig CollingCAMHS Digital Lab, Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Jessica PenhallowCAMHS Digital Lab, Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.
Johnny DownsCAMHS Digital Lab, Department of Child and Adolescent Psychiatry, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK.ORCID https://orcid.org/0000-0002-8061-295X
CAMHS Digital Lab

Funding

NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust and King's College London
6 · The paper itself

Abstract

As digital mental health research and technology continue to grow, a systematic approach to quickly and safely translating digital innovation into Child and Adolescent Mental Health Services (CAMHS) is needed. Here, we provide an overview of the CAMHS Digital Lab, a service in London, United Kingdom, which integrates operational, clinical and research expertise to support digital discovery and translate research into practice. The service is organized into four workstreams: Population and clinical analytics; Data science and discovery; Digital therapeutics and assessment; and Education, outreach and training. This service provides a model for integrating digital innovation into mental health services which could be adopted elsewhere.

Indexed as

Adolescent Health ServicesChild Health ServicesData ScienceDigital TechnologyMental Health ServicesAdolescentChildHumansLondonCAMHSdata sciencedigital innovationslarge dataService development

Identifiers

PMID40574496
PMCPMC12832210

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.