Evidence map›Paper›PMID 41943953›Full record

ArticleBJPsych open2026

Understanding compulsory community treatment across Australian jurisdictions: insights from three different data sources.

Claudia Bull, Anoushka Gaekwad, Jessica Madyson Layton, Bobbak Makooie, Alyshia Guan, Nithyashree Narayanan, Edwina Light, Steve Kisely

Abstract read
In one paragraph

Article in BJPsych open, 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

8 authors.

Claudia BullQueensland Centre for Mental Health Research, The Faculty of Health, Medicine and Behavioural Sciences, https://ror.org/00rqy9422The University of Queensland, Australia.ORCID https://orcid.org/0000-0003-4064-652X
Anoushka GaekwadPrincess Alexandra Hospital Southside Clinical Unit, Greater Brisbane Clinical School, Medical School, The Faculty of Health, Medicine and Behavioural Sciences, https://ror.org/00rqy9422The University of Queensland, Australia.
Jessica Madyson LaytonPrincess Alexandra Hospital Southside Clinical Unit, Greater Brisbane Clinical School, Medical School, The Faculty of Health, Medicine and Behavioural Sciences, https://ror.org/00rqy9422The University of Queensland, Australia.
Bobbak MakooiePrincess Alexandra Hospital Southside Clinical Unit, Greater Brisbane Clinical School, Medical School, The Faculty of Health, Medicine and Behavioural Sciences, https://ror.org/00rqy9422The University of Queensland, Australia.
Alyshia GuanPrincess Alexandra Hospital Southside Clinical Unit, Greater Brisbane Clinical School, Medical School, The Faculty of Health, Medicine and Behavioural Sciences, https://ror.org/00rqy9422The University of Queensland, Australia.
Nithyashree NarayananPrincess Alexandra Hospital Southside Clinical Unit, Greater Brisbane Clinical School, Medical School, The Faculty of Health, Medicine and Behavioural Sciences, https://ror.org/00rqy9422The University of Queensland, Australia.
Edwina LightPrincess Alexandra Hospital Southside Clinical Unit, Greater Brisbane Clinical School, Medical School, The Faculty of Health, Medicine and Behavioural Sciences, https://ror.org/00rqy9422The University of Queensland, Australia.
Steve KiselyPrincess Alexandra Hospital Southside Clinical Unit, Greater Brisbane Clinical School, Medical School, The Faculty of Health, Medicine and Behavioural Sciences, https://ror.org/00rqy9422The University of Queensland, Australia.ORCID https://orcid.org/0000-0003-4021-2924

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCompulsory Community Treatment (CCT) is any intervention that mandates community psychiatric care. Despite Australia's high use of CCT compared to other countries, there is no standardised national reporting framework, limiting transparency and comparability across jurisdictions.

aimsTo determine rates of CCT orders per 100 000 population, individuals subject to CCT per 100 000 population and the proportion of all community mental healthcare contacts that were involuntary between 2016-2017 and 2023-2024. We also sought to identify and document differences in reporting practices across CCT reporting bodies.

methodPublicly available data were extracted from annual reports of state and territory Mental Health Review Tribunals or Civil and Administrative Tribunals, Offices of the Chief Psychiatrist and the Australian Institute of Health and Welfare. Rates of CCT orders per 100 000 population, individuals subject to CCT per 100 000 population and the proportion of all community mental healthcare contacts that were involuntary were calculated and compared across jurisdictions.

resultsMarked differences were identified in CCT terminology, reporting scope and data completeness across jurisdictions and reporting bodies. Only three jurisdictions reported the number of individuals subject to CCT and none reported incidence data. Rates of CCT increased in most jurisdictions, except Western Australia, which showed a decline and the lowest rate of all jurisdictions. The proportion of involuntary community contacts ranged from 3 to 26% nationally.

conclusionsAustralia's fragmented CCT reporting landscape impedes accurate national monitoring. A standardised national CCT data-set that incorporates prevalence and incidence indicators is urgently needed to enable transparent, comparable reporting.

Indexed as

mental health servicesobservational studyoutpatient treatmentpatients and service usersPsychiatry and law

Identifiers

PMID41943953
PMCPMC13122332

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.