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

机译:在国家卫生服务中嵌入基于证据的自杀预防措施:服务改进倡议

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摘要

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.
机译:尽管近几十年来改善了自杀的决定因素的理解,但英国(英国)的平均自杀率为每年10万次,每年10万,约28%在死亡前12个月访问心理卫生服务。在本文中,我们概述了一种新的系统级方法,通过客观地区分每个自杀风险呈现的严重程度并提供快速轨道途径,以照顾所有,包括威胁危及危及生命的病例。在拟议模型中解决的额外业务挑战是当地危机心理健康服务的饱和服务,每月约有150个自由性推荐,包括非心理健康案件。本文讨论了在国家卫生服务(NHS)中的服务改进倡议(NHS)中学性护理精神卫生提供商开放式24/7危机和家庭治疗服务。利用协作评估和自由性(CAMS)的组织范围的定制“自杀风险分类”系统在所有服务中实施。描述了对自由性,自杀率和服务用户结果的初步影响。

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