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Embedding an Evidence-Based Model for Suicide Prevention in the National Health Service: A Service Improvement Initiative

Despite the improved understanding of the determinants of suicide over recent decades, the mean suicide rate within the United Kingdom (UK) has remained at 10 per 100,000 per annum, with about 28% accessing mental health services in the 12 months prior to death. In this paper, we outlined a novel sy...

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Detalles Bibliográficos
Autores principales: Brown, Sophie, Iqbal, Zaffer, Burbidge, Frances, Sajjad, Aamer, Reeve, Mike, Ayres, Victoria, Melling, Richard, Jobes, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7399800/
https://www.ncbi.nlm.nih.gov/pubmed/32650466
http://dx.doi.org/10.3390/ijerph17144920
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author Brown, Sophie
Iqbal, Zaffer
Burbidge, Frances
Sajjad, Aamer
Reeve, Mike
Ayres, Victoria
Melling, Richard
Jobes, David
author_facet Brown, Sophie
Iqbal, Zaffer
Burbidge, Frances
Sajjad, Aamer
Reeve, Mike
Ayres, Victoria
Melling, Richard
Jobes, David
author_sort Brown, Sophie
collection PubMed
description Despite the improved understanding of the determinants of suicide over recent decades, the mean suicide rate within the United Kingdom (UK) has remained at 10 per 100,000 per annum, with about 28% accessing mental health services in the 12 months prior to death. In this paper, we outlined a novel systems-level approach to tackling this problem through objectively differentiating the level of severity for each suicide risk presentation and providing fast-track pathways to care for all, including life-threatening cases. An additional operational challenge addressed within the proposed model was the saturation of local crisis mental health services with approximately 150 suicidality referrals per month, including non-mental health cases. This paper discussed a service improvement initiative undertaken within a National Health Service (NHS) secondary care mental health provider’s open-access 24/7 crisis and home treatment service. An organisation-wide bespoke “suicide risk triage” system utilising the Collaborative Assessment and Management of Suicidality (CAMS) was implemented across all services. The preliminary impacts on suicidality, suicide rates and service user outcomes were described.
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spelling pubmed-73998002020-08-17 Embedding an Evidence-Based Model for Suicide Prevention in the National Health Service: A Service Improvement Initiative Brown, Sophie Iqbal, Zaffer Burbidge, Frances Sajjad, Aamer Reeve, Mike Ayres, Victoria Melling, Richard Jobes, David Int J Environ Res Public Health Article Despite the improved understanding of the determinants of suicide over recent decades, the mean suicide rate within the United Kingdom (UK) has remained at 10 per 100,000 per annum, with about 28% accessing mental health services in the 12 months prior to death. In this paper, we outlined a novel systems-level approach to tackling this problem through objectively differentiating the level of severity for each suicide risk presentation and providing fast-track pathways to care for all, including life-threatening cases. An additional operational challenge addressed within the proposed model was the saturation of local crisis mental health services with approximately 150 suicidality referrals per month, including non-mental health cases. This paper discussed a service improvement initiative undertaken within a National Health Service (NHS) secondary care mental health provider’s open-access 24/7 crisis and home treatment service. An organisation-wide bespoke “suicide risk triage” system utilising the Collaborative Assessment and Management of Suicidality (CAMS) was implemented across all services. The preliminary impacts on suicidality, suicide rates and service user outcomes were described. MDPI 2020-07-08 2020-07 /pmc/articles/PMC7399800/ /pubmed/32650466 http://dx.doi.org/10.3390/ijerph17144920 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Brown, Sophie
Iqbal, Zaffer
Burbidge, Frances
Sajjad, Aamer
Reeve, Mike
Ayres, Victoria
Melling, Richard
Jobes, David
Embedding an Evidence-Based Model for Suicide Prevention in the National Health Service: A Service Improvement Initiative
title Embedding an Evidence-Based Model for Suicide Prevention in the National Health Service: A Service Improvement Initiative
title_full Embedding an Evidence-Based Model for Suicide Prevention in the National Health Service: A Service Improvement Initiative
title_fullStr Embedding an Evidence-Based Model for Suicide Prevention in the National Health Service: A Service Improvement Initiative
title_full_unstemmed Embedding an Evidence-Based Model for Suicide Prevention in the National Health Service: A Service Improvement Initiative
title_short Embedding an Evidence-Based Model for Suicide Prevention in the National Health Service: A Service Improvement Initiative
title_sort embedding an evidence-based model for suicide prevention in the national health service: a service improvement initiative
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7399800/
https://www.ncbi.nlm.nih.gov/pubmed/32650466
http://dx.doi.org/10.3390/ijerph17144920
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