Profiling Absconders from Public and Private Inpatient Psychiatric Units: a Comparative Analysis.


Journal

The Psychiatric quarterly
ISSN: 1573-6709
Titre abrégé: Psychiatr Q
Pays: United States
ID NLM: 0376465

Informations de publication

Date de publication:
06 2020
Historique:
pubmed: 4 1 2020
medline: 11 5 2021
entrez: 4 1 2020
Statut: ppublish

Résumé

Research related to absconding and its associated risks is limited in relation to inpatients from private psychiatric units. This study aimed to compare patients who abscond from public and private psychiatric inpatient settings. Demographic data was collated on the subjects (n = 214) who all had a history of absconding. Public absconders (n = 159) were more likely to have a psychotic illness, increased number of psychiatric diagnoses, history of aggression, substance use and homelessness, when compared to private absconders. Predictors identified for private absconders (n = 55) were female gender and fewer drugs used. This study has implications for the different profiles of absconders between the public and private settings.

Identifiants

pubmed: 31898213
doi: 10.1007/s11126-019-09703-7
pii: 10.1007/s11126-019-09703-7
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

299-307

Auteurs

Sonja Cabarkapa (S)

St Vincent's Health, Fitzroy, Melbourne, Australia. sonjaac3@gmail.com.
Waitemata District Health Board, Auckland, New Zealand. sonjaac3@gmail.com.

Raja Sadhu (R)

Western Health, Melbourne, Australia.

Joel King (J)

The Melbourne Clinic, Melbourne, Australia.
University of Melbourne, Melbourne, Australia.

Nathan Dowling (N)

The Melbourne Clinic, Melbourne, Australia.

Raghavakurup Radhakrishnan (R)

Waitemata District Health Board, Auckland, New Zealand.
The University of Auckland, Auckland, New Zealand.

Akinsola Akinbiyi (A)

Western Health, Melbourne, Australia.

Ravindra Srinivasaraju (R)

Western Health, Melbourne, Australia.

Dean Stevenson (D)

Western Health, Melbourne, Australia.

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Classifications MeSH