Author: Brown, Sophie; Iqbal, Zaffer; Burbidge, Frances; Sajjad, Aamer; Reeve, Mike; Ayres, Victoria; Melling, Richard; Jobes, David
Title: Embedding an Evidence-Based Model for Suicide Prevention in the National Health Service: A Service Improvement Initiative Cord-id: ga0mpot6 Document date: 2020_7_8
ID: ga0mpot6
Snippet: 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
Document: 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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