Evidence map›Paper›PMID 26597630›Full record

ArticleBMC psychiatry2015

Factors affecting length of stay in forensic hospital setting: need for therapeutic security and course of admission.

Mary Davoren, Orla Byrne, Paul O'Connell, Helen O'Neill, Ken O'Reilly, Harry G Kennedy

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC psychiatry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05074732 (Dundrum Forensic Redevelopment Evaluation Study), which is not on this map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
6.1field-weighted citation impact, top 4% of its field
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.

NCT05074732 recruitingnot on this mapstarted 2019, after this paper: background citation

Dundrum Forensic Redevelopment Evaluation Study: D-FOREST Study.

TypeobservationalSponsorHealth Service Executive, IrelandRan2019 to 2027Enrolled350ConditionsSchizophrenia, Forensic Psychiatry, Outcome Measure, Violence
3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 90 citations in OpenAlex.

  1. Pooled it
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  9. Factors associated with length of stay in medium secure units: A realist review.Australasian psychiatry : bulletin of Royal Australian and New Zealand College of Psychiatrists · 2024
    Review
  10. Markers of predicting discharge from forensic psychiatric hospitals in Czechia.The International journal of social psychiatry · 2024
    Article
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  14. Examining the need for a high level of therapeutic security at a regional forensic mental health service in Aotearoa New Zealand.Psychiatry, psychology, and law : an interdisciplinary journal of the Australian and New Zealand Association of Psychiatry, Psychology and Law · 2024
    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

6 authors at 2 institutions in 1 country.

Mary DavorenDepartment of Psychiatry, Trinity College Dublin, Dublin, Ireland. davorem@tcd.ie.
Orla ByrneNational Forensic Mental Health Service, Central Mental Hospital, Dundrum, Dublin 14, Ireland. orla.byrne@hse.ie.
Paul O'ConnellDepartment of Psychiatry, Trinity College Dublin, Dublin, Ireland. Paul.OConnell@hse.ie.
Helen O'NeillDepartment of Psychiatry, Trinity College Dublin, Dublin, Ireland. helen.oneill2@hse.ie.
Ken O'ReillyDepartment of Psychiatry, Trinity College Dublin, Dublin, Ireland. oreillk5@tcd.ie.
Harry G KennedyDepartment of Psychiatry, Trinity College Dublin, Dublin, Ireland. kennedh@tcd.ie.
Trinity College Dublin · IECentral Mental Hospital · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients admitted to a secure forensic hospital are at risk of a long hospital stay. Forensic hospital beds are a scarce and expensive resource and ability to identify the factors predicting length of stay at time of admission would be beneficial. The DUNDRUM-1 triage security scale and DUNDRUM-2 triage urgency scale are designed to assess need for therapeutic security and urgency of that need while the HCR-20 predicts risk of violence. We hypothesized that items on the DUNDRUM-1 and DUNDRUM-2 scales, rated at the time of pre-admission assessment, would predict length of stay in a medium secure forensic hospital setting.

methodsThis is a prospective study. All admissions to a medium secure forensic hospital setting were collated over a 54 month period (n = 279) and followed up for a total of 66 months. Each patient was rated using the DUNDRUM-1 triage security scale and DUNDRUM-2 triage urgency scale as part of a pre-admission assessment (n = 279) and HCR-20 within 2 weeks of admission (n = 187). Episodes of harm to self, harm to others and episodes of seclusion whilst an in-patient were collated. Date of discharge was noted for each individual.

resultsDiagnosis at the time of pre-admission assessment (adjustment disorder v other diagnosis), predicted legal status (sentenced v mental health order) and items on the DUNDRUM-1 triage security scale and the DUNDRUM-2 triage urgency scale, also rated at the time of pre-admission assessment, predicted length of stay in the forensic hospital setting. Need for seclusion following admission also predicted length of stay.

conclusionsThese findings may form the basis for a structured professional judgment instrument, rated prior to or at time of admission, to assist in estimating length of stay for forensic patients. Such a tool would be useful to clinicians, service planners and commissioners given the high cost of secure psychiatric care.

Indexed as

AdultCross-Sectional StudiesEnglandFemaleForensic PsychiatryHospitals, PsychiatricHumansLength of StayMalePatient AdmissionPatient DischargePilot ProjectsProspective StudiesRisk AssessmentRisk FactorsTriage

Identifiers

PMID26597630
PMCPMC4657210
OpenAlexW2179563806

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.