Evidence map›Paper›PMID 37660304›Full record

ArticleSocial psychiatry and psychiatric epidemiology2024

Prevalence and predictors of admission at the time of presentation in first episode psychosis.

Louisa Gannon, Eddie Mullen, Patrick McGorry, Brian O'Donoghue

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Article in Social psychiatry and psychiatric epidemiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
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11citing papers in PubMed, 1 pooled it
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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

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Louisa GannonDepartment of Psychiatry, University College Dublin, Ireland, St Vincent's University Hospital, Elm Park, Dublin 4, Ireland.
Eddie MullenOrygen, Melbourne, VIC, Australia.
Patrick McGorryOrygen, Melbourne, VIC, Australia.
Brian O'DonoghueDepartment of Psychiatry, University College Dublin, Ireland, St Vincent's University Hospital, Elm Park, Dublin 4, Ireland. brian.odonoghue@ucd.ie.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividuals presenting with first episode psychosis (FEP) constitute a population with high admission rates. Across psychiatric services, community based treatment is aimed for where appropriate. Therefore, further knowledge on predictors of admission is required. PURPOSE: The objectives were to: (i) determine the proportion of individuals with FEP admitted at time of presentation (voluntarily and involuntarily) (ii) identify associated demographic and clinical factors.

methodsThis study included all young people (aged 15-24) who presented with FEP to the Early Psychosis Prevention and Intervention Centre, Melbourne, Australia from 01.01.11 to 31.12.16. Binary logistic regression was used to determine unadjusted and adjusted odds ratios.

resultsOf 1208 participants, 58.6% were male and the median age was 20 years (I.Q.R.17-22). At time of presentation, 50.2% were admitted. On multivariate analysis, the following factors predicted admission: being a migrant (OR = 1.75, 95% CI [1.17, 2.62]), aggression (OR = 1.42, 95% CI [1.02, 1.99]), and more severe psychotic symptoms. Longer duration of untreated psychosis was associated with lower admission rates. 70.1% of admissions were involuntary (33.7% of the cohort). Risk factors for involuntary admission were consistent with any admission, other than aggression, and with the addition of older age and male sex.

conclusionThere remains a high admission rate for FEP, even in an established early intervention service, with severity of psychopathology being the strongest predictive factor. There is an independent association between migrancy and admission. Potential reasons for these findings are discussed, and initiatives to reduce admission rates including (i) interventions to prevent admission and (ii) alternative care pathways.

Indexed as

Patient AdmissionPsychotic DisordersAdolescentAdultAggressionAustraliaFemaleHospitalizationHumansLogistic ModelsMaleMultivariate AnalysisPrevalenceRisk FactorsYoung AdultAdmission ratesFirst episode psychosisInvoluntaryPsychotic disorders

Identifiers

PMID37660304
PMCPMC11178553

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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.