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Open AccessArticle

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

1
Department of Psychology, Faculty of Health Sciences, University of Hull, Hull HU6 7RX, UK
2
NAViGO Health and Social Care Community Interest Company, Grimsby DN32 0QE, UK
3
Department of Psychology, School of Arts and Sciences, Clinical Psychology Faculty, The Catholic University of America, Washington, DC 20064, USA
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(14), 4920; https://doi.org/10.3390/ijerph17144920
Received: 1 June 2020 / Revised: 5 July 2020 / Accepted: 6 July 2020 / Published: 8 July 2020
(This article belongs to the Special Issue Suicidal Behavior as a Complex Dynamical System)
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. View Full-Text
Keywords: suicide prevention; suicidality; CAMS; service improvement; service model suicide prevention; suicidality; CAMS; service improvement; service model
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MDPI and ACS Style

Brown, S.; Iqbal, Z.; Burbidge, F.; Sajjad, A.; Reeve, M.; Ayres, V.; Melling, R.; Jobes, D. Embedding an Evidence-Based Model for Suicide Prevention in the National Health Service: A Service Improvement Initiative. Int. J. Environ. Res. Public Health 2020, 17, 4920. https://doi.org/10.3390/ijerph17144920

AMA Style

Brown S, Iqbal Z, Burbidge F, Sajjad A, Reeve M, Ayres V, Melling R, Jobes D. Embedding an Evidence-Based Model for Suicide Prevention in the National Health Service: A Service Improvement Initiative. International Journal of Environmental Research and Public Health. 2020; 17(14):4920. https://doi.org/10.3390/ijerph17144920

Chicago/Turabian Style

Brown, Sophie; Iqbal, Zaffer; Burbidge, Frances; Sajjad, Aamer; Reeve, Mike; Ayres, Victoria; Melling, Richard; Jobes, David. 2020. "Embedding an Evidence-Based Model for Suicide Prevention in the National Health Service: A Service Improvement Initiative" Int. J. Environ. Res. Public Health 17, no. 14: 4920. https://doi.org/10.3390/ijerph17144920

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