Evidence map›Paper›PMID 39411481›Full record

ArticleJCPP advances2024

Risk rates and profiles at intake in child and adolescent mental health services: A cohort and latent class analyses of 21,688 young people in South London.

Barry Coughlan, Matt Woolgar, Rick Hood, Dustin Hutchinson, Ella Denford, Amy Hillier, Keith Clements, Teresa Geraghty, Ava Berry, Paul Bywaters and 6 more

Abstract read
In one paragraph

Article in JCPP advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. 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

16 authors.

Barry CoughlanDepartment of Public Health and Primary Care University of Cambridge Cambridge UK.ORCID https://orcid.org/0000-0002-1484-6491
Matt WoolgarInstitute of Psychiatry, Psychology and Neuroscience King's College London London UK.ORCID https://orcid.org/0000-0002-3618-0395
Rick HoodDepartment of Social Work and Social Care Kingston University London UK.
Dustin HutchinsonNational Children's Bureau London UK.
Ella DenfordSchool of Sport, Exercise and Health Sciences Loughborough Univeristy Loughborough UK.
Amy HillierDepartment of Psychology Univerity of Bath Bath UK.
Keith ClementsNational Children's Bureau London UK.
Teresa GeraghtyNational Children's Bureau London UK.
Ava BerryNational Children's Bureau London UK.
Paul BywatersSchool of Human and Health Sciences University of Huddersfield Huddersfield UK.
Andy BilsonDepartment of Public Health and Primary Care University of Cambridge Cambridge UK.
Jack SmithDepartment of Public Health and Primary Care University of Cambridge Cambridge UK.
Taliah DrayakDepartment of Public Health and Primary Care University of Cambridge Cambridge UK.
David GrahamDepartment of Public Health and Primary Care University of Cambridge Cambridge UK.
Francesca Crozier-RocheDepartment of Public Health and Primary Care University of Cambridge Cambridge UK.
Robbie DuschinskyDepartment of Public Health and Primary Care University of Cambridge Cambridge UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Children and young people (CYP) seen by child and adolescent mental health services (CAMHS) often experience safeguarding issues. Yet little is known about the volume and nature of these risks, including how different adversities or risks relate to one another. This exploratory study aims to bridge this gap, examining rates at entry to services and profiles of risk using a latent class analysis. Methods: Data were extracted for CYP who received at least one risk assessment at CAMHs in South London between January 2007 and December 2017. In total, there were 21,688 risk assessments. Latent class analysis was used to identify profiles of risk from the risk assessments. Results: Concerns about parent mental health ( Conclusions: These findings provide fresh insights into adverse experiences and risks identified by CAMHS. For professionals, the profiles identified in this study might provide insights into profiles of identified risks, in contrast to traditional cumulative approaches to risk. For researchers, these profiles may be fertile ground for hypothesis-driven work on the association between adversity and later outcomes.

Indexed as

adversityCAMHSmental healthrisk factorssafeguarding

Identifiers

PMID39411481
PMCPMC11472811

What OpenQuestion holds

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LicenceCC BY
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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.