Evidence map›Paper›PMID 42117877›Full record

SynthesisJournal of applied research in intellectual disabilities : JARID2026

A Systematic Review of Outcomes for People With Intellectual Disabilities and/or Autistic People Following Resettlement From Long-Stay Hospitals in the UK.

Zoe Rubenstein, Jon Glasby, Rachel Posaner, Robin Miller, Anne-Marie Glasby

Abstract readSystematic Review
In one paragraph

Synthesis in Journal of applied research in intellectual disabilities : JARID, 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

5 authors.

Zoe RubensteinDepartment of Social Work and Social Care, University of Birmingham, Birmingham, UK.ORCID https://orcid.org/0000-0001-6308-9055
Jon GlasbyDepartment of Social Work and Social Care, University of Birmingham, Birmingham, UK.ORCID https://orcid.org/0000-0003-3960-7988
Rachel PosanerHealth Services Management Centre, University of Birmingham, Birmingham, UK.
Robin MillerDepartment of Social Work and Social Care, University of Birmingham, Birmingham, UK.ORCID https://orcid.org/0000-0003-2646-5589
Anne-Marie GlasbyChanging Our Lives, Crawley, UK.

Funding

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

Abstract

backgroundDespite attempts to reduce the use of modern secure specialist hospitals (long-stay hospitals) for people with intellectual disabilities and/or autistic people, there remains a limited understanding of what happens after discharge.

methodSystematic review of outcomes following resettlement from UK long-stay hospitals.

resultsOutcomes generally improve following resettlement, although some soon level off and rarely reach the level of comparable populations. We still know little about service costs or about how many readmissions/reconvictions to expect given the complexity of people's needs and such rates in other settings. Above all, most studies fail to meaningfully include the voices of people themselves.

conclusionsOutcomes improve after hospital, but this is not guaranteed and even improved outcomes may still not be good enough. Future research should aim to fill a number of gaps in current knowledge-but in particular must draw much more meaningfully on the lived experience of people and families.

Indexed as

Autistic DisorderIntellectual DisabilityOutcome Assessment, Health CareHumansUnited Kingdomautismcommunity careintellectual disabilitieslong‐stay hospitalsresettlementsystematic review

Identifiers

PMID42117877
PMCPMC13164828

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.