Evidence map›Paper›PMID 37813547›Full record

ArticleBJPsych open2023

Identifying individuals with intellectual disability who access mental health support and are at high risk for adverse clinical outcomes: cohort study.

R Asaad Baksh, Rory Sheehan, Angela Hassiotis, James Smith, Andre Strydom

Abstract read
In one paragraph

Article in BJPsych open, 2023. 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. Article
  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

5 authors.

R Asaad BakshInstitute of Psychiatry, Psychology, and Neuroscience, King's College London, UK; and The LonDowns Consortium, London, UK.ORCID https://orcid.org/0000-0001-6596-2145
Rory SheehanInstitute of Psychiatry, Psychology, and Neuroscience, King's College London, UK.
Angela HassiotisDivision of Psychiatry, University College London, UK; and Camden Learning Disabilities Service, London, UK.ORCID https://orcid.org/0000-0002-9800-3909
James SmithSouth London and Maudsley NHS Foundation Trust, London, UK.ORCID https://orcid.org/0000-0001-7870-6108
Andre StrydomInstitute of Psychiatry, Psychology, and Neuroscience, King's College London, London, UK; The LonDowns Consortium, London, UK; and South London and Maudsley NHS Foundation Trust, London, UK.ORCID https://orcid.org/0000-0002-2502-6704

Funding

National Institute for Health and Care Research NIHR200120
6 · The paper itself

Abstract

backgroundPeople with intellectual disability often experience aggressive challenging behaviour and mental health issues. It can be difficult to identify those who are at higher risk of adverse clinical outcomes when in clinical care.

aimsTo characterise potential subgroups in adults with intellectual disability referred to mental health services in those presenting with aggressive behaviour or common mental disorders (CMDs).

methodThere were 836 adults (≥18 years) with intellectual disability and a record of aggressive challenging behaviour, and 205 patients with intellectual disability and CMDs, who were seen in specialist mental health services over a 5-year period. Cluster analysis was used to define patient characteristics associated with clinical outcome.

resultsDistinct patient groups with differentiated profiles were observed in people with intellectual disability displaying aggressive challenging behaviour, and in those presenting with CMDs. Characteristics of the aggressive behaviour group who experienced adverse outcomes included being <30 years old, being male, more mentions of aggression and agitation in their clinical record, a diagnosis of pervasive developmental disorder and prescription of psychotropic medication. Characteristics of the CMD cluster that experienced adverse clinical outcomes were being older, being a White male, having a mild intellectual disability and physical health concerns.

conclusionsPeople with intellectual disability who experience adverse clinical outcomes can be identified with a cluster analysis approach of common features, but differ by clinical presentation. This could be used not only to stratify this clinically heterogeneous population in terms of response to interventions, but also improve precision in the development of tailored interventions.

Indexed as

adverse clinical outcomesaggressive challenging behaviourcluster analysiscommon mental disordersIntellectual disability

Identifiers

PMID37813547
PMCPMC10594232

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.