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The Impact of Reducing Psychiatric Beds on Suicide Rates

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 p...

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Detalles Bibliográficos
Autores principales: Atkinson, Jo-An, Page, Andrew, Skinner, Adam, Heffernan, Mark, Prodan, Ante, Hickie, Ian B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6615492/
https://www.ncbi.nlm.nih.gov/pubmed/31333513
http://dx.doi.org/10.3389/fpsyt.2019.00448
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author Atkinson, Jo-An
Page, Andrew
Skinner, Adam
Heffernan, Mark
Prodan, Ante
Hickie, Ian B.
author_facet Atkinson, Jo-An
Page, Andrew
Skinner, Adam
Heffernan, Mark
Prodan, Ante
Hickie, Ian B.
author_sort Atkinson, Jo-An
collection PubMed
description 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.
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spelling pubmed-66154922019-07-22 The Impact of Reducing Psychiatric Beds on Suicide Rates Atkinson, Jo-An Page, Andrew Skinner, Adam Heffernan, Mark Prodan, Ante Hickie, Ian B. Front Psychiatry Psychiatry 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. Frontiers Media S.A. 2019-07-02 /pmc/articles/PMC6615492/ /pubmed/31333513 http://dx.doi.org/10.3389/fpsyt.2019.00448 Text en Copyright © 2019 Atkinson, Page, Skinner, Heffernan, Prodan and Hickie http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychiatry
Atkinson, Jo-An
Page, Andrew
Skinner, Adam
Heffernan, Mark
Prodan, Ante
Hickie, Ian B.
The Impact of Reducing Psychiatric Beds on Suicide Rates
title The Impact of Reducing Psychiatric Beds on Suicide Rates
title_full The Impact of Reducing Psychiatric Beds on Suicide Rates
title_fullStr The Impact of Reducing Psychiatric Beds on Suicide Rates
title_full_unstemmed The Impact of Reducing Psychiatric Beds on Suicide Rates
title_short The Impact of Reducing Psychiatric Beds on Suicide Rates
title_sort impact of reducing psychiatric beds on suicide rates
topic Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6615492/
https://www.ncbi.nlm.nih.gov/pubmed/31333513
http://dx.doi.org/10.3389/fpsyt.2019.00448
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