The Impact of Reducing Psychiatric Beds on Suicide Rates.

psychiatric beds public mental health suicide prevention systems modeling and simulation threshold effects

Journal

Frontiers in psychiatry
ISSN: 1664-0640
Titre abrégé: Front Psychiatry
Pays: Switzerland
ID NLM: 101545006

Informations de publication

Date de publication:
2019
Historique:
received: 27 01 2019
accepted: 06 06 2019
entrez: 24 7 2019
pubmed: 25 7 2019
medline: 25 7 2019
Statut: epublish

Résumé

There has been ongoing debate regarding the impact of reductions in psychiatric beds on suicide rates, and the potential effect of reallocation of acute hospital funding to community-based mental health programs and services. Computer simulation offers significant value in advancing such debate by providing a robust platform for exploring strategic resource allocation scenarios before they are implemented in the real world. We report an application that demonstrates a threshold effect of cuts to psychiatric beds on suicide rates and the role of context specific variations in population, behavioral, and service use dynamics in determining where that threshold lies. Findings have important implications for regional decision-making regarding resource allocation for suicide prevention.

Identifiants

pubmed: 31333513
doi: 10.3389/fpsyt.2019.00448
pmc: PMC6615492
doi:

Types de publication

Journal Article

Langues

eng

Pagination

448

Références

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Auteurs

Jo-An Atkinson (JA)

Decision Analytics, Sax Institute, Sydney, NSW, Australia.
Translational Health Research Institute, Western Sydney University, Sydney, NSW, Australia.

Andrew Page (A)

Translational Health Research Institute, Western Sydney University, Sydney, NSW, Australia.

Adam Skinner (A)

Decision Analytics, Sax Institute, Sydney, NSW, Australia.

Mark Heffernan (M)

Dynamic Operations, Sydney, NSW, Australia.

Ante Prodan (A)

School of Computing, Engineering & Mathematics, Western Sydney University, Sydney, NSW, Australia.

Ian B Hickie (IB)

Brain and Mind Centre, University of Sydney, Sydney, NSW, Australia.

Classifications MeSH