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Record W4414612230 · doi:10.1177/07067437251380731

Long-Stay Psychiatric Inpatients With and Without Intellectual and Developmental Disabilities: An Ontario Population-Based Study: Patients hospitalisés pour de longs séjours en psychiatrie avec ou sans déficiences intellectuelles et développementales,: Une étude fondée sur la population de l’Ontario

2025· article· en· W4414612230 on OpenAlexaffvenueabout
Avra Selick, Michael A. Campitelli, Anjie Huang, Robert Balogh, Paul Kurdyak, Yona Lunsky

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2025
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of TorontoOntario Tech UniversityCentre for Addiction and Mental Health
Fundersnot available
KeywordsSeclusionCognitive impairmentIntellectual disabilityPsychiatric hospitalPublic healthSocial environmentHealth care

Abstract

fetched live from OpenAlex

ObjectivePatients with intellectual and developmental disabilities (IDDs) and psychiatric disorders are at higher risk for prolonged hospitalisations. The aim of this study was to examine the prevalence of IDD among long-stay inpatients in Ontario psychiatric beds, and compare the demographic and clinical profiles of long-stay inpatients with and without IDD.MethodsThis Ontario population-based cross-sectional study used linked health administrative databases. All patients over 18 years of age occupying a non-forensic psychiatric inpatient bed in Ontario on September 30th, 2023 were included in the analysis. We examined prevalence of IDD among patients with a length of stay (LOS) ≥ 365 days ('long-stay patients'). Standardised differences were used to compare demographic, clinical, functional, and health care utilisation characteristics between patients with and without IDD.ResultsOf the 1,466 long-stay patients in an Ontario non-forensic psychiatric inpatient bed, 22.0% had IDD. They were younger (mean age 44.3 vs. 47.6) and a higher proportion were male (64.3% vs. 50.1%). In the 2 years prior to admission, a higher proportion of long-stay patients with IDD had a psychotic disorder (73.3% vs. 54.0%), and they had a higher median number of ED visits (5 vs. 3). Long-stay inpatients with IDD were more likely to have difficulty with activities of daily living (39.8% vs. 15.0%), moderate/severe cognitive impairment (63.0% vs. 29.9%) and fewer social contacts in place to support discharge (59.3% vs. 48.6%). While in hospital, a greater proportion of long-stay patients with IDD were subject to restraints (12.4% vs. 8.0%) and seclusion (20.2% vs. 11.2%).ConclusionsAdults with IDD account for more than one in five long-stay psychiatric inpatients and have unique needs including greater cognitive impairment and difficulty caring for themselves. Successful transitions out of hospital require specialised resources and cross-sectoral collaboration.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.358

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.276
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes3
Has abstractyes

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