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Regional suicide prevention planning: a dynamic simulation modelling analysis
BACKGROUND: Regional planning may help to ensure that the specific measures implemented as part of a national suicide prevention strategy are aligned with the varying needs of local services and communities; however, there are concerns that the reliability of local programme development may be limit...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444054/ http://dx.doi.org/10.1192/bjo.2021.989 |
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author | Skinner, Adam Occhipinti, Jo-An Song, Yun Ju Christine Hickie, Ian B. |
author_facet | Skinner, Adam Occhipinti, Jo-An Song, Yun Ju Christine Hickie, Ian B. |
author_sort | Skinner, Adam |
collection | PubMed |
description | BACKGROUND: Regional planning may help to ensure that the specific measures implemented as part of a national suicide prevention strategy are aligned with the varying needs of local services and communities; however, there are concerns that the reliability of local programme development may be limited in practice. AIMS: The potential impacts of independent regional planning on the effectiveness of suicide prevention programmes in the Australian state of New South Wales were quantified using a system dynamics model of mental health services provision and suicidal behaviour in each of the state's ten Primary Health Network (PHN) catchments. METHOD: Reductions in projected suicide mortality over the period 2021–2031 were calculated for scenarios in which combinations of four and five suicide prevention and mental health services interventions (selected from 13 possible interventions) are implemented separately in each PHN catchment. State-level impacts were estimated by summing reductions in projected suicide mortality for each intervention combination across PHN catchments. RESULTS: The most effective state-level combinations of four and five interventions prevent, respectively, 20.3% and 22.9% of 10 312 suicides projected under a business-as-usual scenario (i.e. no new policies or programmes, constant services capacity growth). Projected numbers of suicides under the optimal intervention scenarios for each PHN are up to 6% lower than corresponding numbers of suicides projected for the optimal state-level intervention combinations. CONCLUSIONS: Regional suicide prevention planning may contribute to significant reductions in suicide mortality where local health authorities are provided with the necessary resources and tools to support reliable, evidence-based decision-making. |
format | Online Article Text |
id | pubmed-8444054 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-84440542021-09-24 Regional suicide prevention planning: a dynamic simulation modelling analysis Skinner, Adam Occhipinti, Jo-An Song, Yun Ju Christine Hickie, Ian B. BJPsych Open Papers BACKGROUND: Regional planning may help to ensure that the specific measures implemented as part of a national suicide prevention strategy are aligned with the varying needs of local services and communities; however, there are concerns that the reliability of local programme development may be limited in practice. AIMS: The potential impacts of independent regional planning on the effectiveness of suicide prevention programmes in the Australian state of New South Wales were quantified using a system dynamics model of mental health services provision and suicidal behaviour in each of the state's ten Primary Health Network (PHN) catchments. METHOD: Reductions in projected suicide mortality over the period 2021–2031 were calculated for scenarios in which combinations of four and five suicide prevention and mental health services interventions (selected from 13 possible interventions) are implemented separately in each PHN catchment. State-level impacts were estimated by summing reductions in projected suicide mortality for each intervention combination across PHN catchments. RESULTS: The most effective state-level combinations of four and five interventions prevent, respectively, 20.3% and 22.9% of 10 312 suicides projected under a business-as-usual scenario (i.e. no new policies or programmes, constant services capacity growth). Projected numbers of suicides under the optimal intervention scenarios for each PHN are up to 6% lower than corresponding numbers of suicides projected for the optimal state-level intervention combinations. CONCLUSIONS: Regional suicide prevention planning may contribute to significant reductions in suicide mortality where local health authorities are provided with the necessary resources and tools to support reliable, evidence-based decision-making. Cambridge University Press 2021-08-31 /pmc/articles/PMC8444054/ http://dx.doi.org/10.1192/bjo.2021.989 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Papers Skinner, Adam Occhipinti, Jo-An Song, Yun Ju Christine Hickie, Ian B. Regional suicide prevention planning: a dynamic simulation modelling analysis |
title | Regional suicide prevention planning: a dynamic simulation modelling analysis |
title_full | Regional suicide prevention planning: a dynamic simulation modelling analysis |
title_fullStr | Regional suicide prevention planning: a dynamic simulation modelling analysis |
title_full_unstemmed | Regional suicide prevention planning: a dynamic simulation modelling analysis |
title_short | Regional suicide prevention planning: a dynamic simulation modelling analysis |
title_sort | regional suicide prevention planning: a dynamic simulation modelling analysis |
topic | Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8444054/ http://dx.doi.org/10.1192/bjo.2021.989 |
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