Evidence map›Paper›PMID 40696797›Full record

ArticleThe British journal of psychiatry : the journal of mental science2025

Restricting community treatment orders to people with non-affective psychosis is needed to reduce use and improve subsequent outcomes: Queensland-wide cohort study.

Steve Kisely, Claudia Bull, Giles Newton-Howes, Tessa Zirnsak, Vrinda Edan, Sharon Lawn, Edwina Light, Chris Maylea, Christopher Ryan, Penelope Weller and 1 more

Abstract read
In one paragraph

Article in The British journal of psychiatry : the journal of mental science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. 'Traumatic to Say the Least; It Still Affects Me': Consumer Perspectives on Community Treatment Orders in Australia.Health expectations : an international journal of public participation in health care and health policy · 2026
    Article
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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.

Steve KiselySchool of Medicine, University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0003-4021-2924
Claudia BullSchool of Medicine, University of Queensland, Brisbane, Queensland, Australia.ORCID https://orcid.org/0000-0003-4064-652X
Giles Newton-HowesUniversity of Otago, Wellington, New Zealand.ORCID https://orcid.org/0000-0002-5167-1213
Tessa ZirnsakDepartment of Community and Clinical Health, La Trobe University, Melbourne, Victoria, Australia.
Vrinda EdanMedicine, Dentistry and Health Sciences, University of Melbourne, Melbourne, Victoria, Australia.
Sharon LawnLived Experience Australia, Adelaide, South Australia, Australia.
Edwina LightUniversity of Sydney, Sydney, New South Wales, Australia.
Chris MayleaLaw School, La Trobe University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0003-3688-0487
Christopher RyanDiscipline of Psychiatry and Mental Health, University of New South Wales, Sydney, New South Wales, Australia.ORCID https://orcid.org/0000-0003-2158-9427
Penelope WellerGraduate School of Business and Law, RMIT University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0003-4659-3561
Lisa BrophyDepartment of Community and Clinical Health, La Trobe University, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0001-6460-3490

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe use of community treatment orders (CTOs) has increased in many jurisdictions despite very limited evidence for their efficacy. In this context, it is important to investigate any differences in outcome by subgroup.

aimsTo investigate the variables associated with CTO placement and the impact of CTOs on admissions and bed-days over the following 12 months, including differences by diagnosis.

methodCases and controls from a complete jurisdiction, the state of Queensland, Australia, were analysed. Administrative health data were matched by age, sex and time of hospital discharge (index date) with two controls per case subject to a CTO. Multivariate analyses were used to examine factors associated with CTOs, as well as the impact on admissions and bed-days over the 12 months after CTO placement. Registration: Australian and New Zealand Clinical Trials Registry (ACTRN12624000152527).

resultsWe identified 10 872 cases and 21 710 controls from January 2018 to December 2022 (total n = 32 582). CTO use was more likely in First Nations people (adjusted odds ratio = 1.14; 95% CI: 1.06-1.23), people from culturally diverse backgrounds (adjusted odds ratio = 1.45; 95% CI: 1.33-1.59) and those with a preferred language other than English (adjusted odds ratio = 1.21; 95% CI: 1.02-1.44). When all diagnostic groups were considered, there were no differences in subsequent admissions or bed-days between cases and controls. However, both re-admissions and bed-days were significantly reduced for CTO cases compared with controls in analyses restricted to non-affective psychoses (e.g. adjusted odds ratio = 0.77, 95% CI: 0.71-0.84 for re-admission).

conclusionsQueenslanders from culturally or linguistically diverse backgrounds and First Nations peoples are more likely to be placed on CTOs. Targeting CTO use to people with non-affective psychosis would both address rising CTO rates and mean that people placed on these orders derive possible benefit. This has implications for both clinical practice and policy.

Indexed as

Community Mental Health ServicesPsychotic DisordersAdolescentAdultCase-Control StudiesCohort StudiesFemaleHospitalizationHumansMaleMiddle AgedQueenslandYoung Adultadministrative health dataCommunity treatment orderscompulsory community treatmentout-patient commitmentpsychosis

Identifiers

PMID40696797
PMCPMC12628122

What OpenQuestion holds

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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.