A Digital Approach for Addressing Suicidal Ideation and Behaviors in Youth Mental Health Services: Observational Study.

IF 5.8 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Min K Chong, Ian B Hickie, Antonia Ottavio, David Rogers, Gina Dimitropoulos, Haley M LaMonica, Luke J Borgnolo, Sarah McKenna, Elizabeth M Scott, Frank Iorfino
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引用次数: 0

Abstract

Background: Long wait times for mental health treatments may cause delays in early detection and management of suicidal ideation and behaviors, which are crucial for effective mental health care and suicide prevention. The use of digital technology is a potential solution for prompt identification of youth with high suicidality.

Objective: The primary aim of this study was to evaluate the use of a digital suicidality notification system designed to detect and respond to suicidal needs in youth mental health services. Second, the study aimed to characterize young people at different levels of suicidal ideation and behaviors.

Methods: Young people aged between 16 and 25 years completed multidimensional assessments using a digital platform, collecting demographic, clinical, social, functional, and suicidality information. When the suicidality score exceeded a predetermined threshold, established based on clinical expertise and service policies, a rule-based algorithm configured within the platform immediately generated an alert for treating clinicians. Subsequent clinical actions and response times were analyzed.

Results: A total of 2021 individuals participated, of whom 266 (11%) triggered one or more high suicidal ideation and behaviors notification. Of the 292 notifications generated, 76% (222/292) were resolved, with a median response time of 1.9 (range 0-50.8) days. Clinical actions initiated to address suicidality included creating safety plans (60%, 134/222), conducting safety checks (18%, 39/222), psychological therapy (8%, 17/222), transfer to another service (3%, 8/222), and scheduling of new appointments (2%, 4/222). Young people with high levels of suicidality were more likely to present with more severe and comorbid symptoms, including low engagement in work or education, heterogenous psychopathology, substance misuse, and recurrent illness.

Conclusions: The digital suicidality notification system facilitated prompt clinical actions by alerting clinicians to high levels of suicidal ideation and behaviors detected among youth. Further, the multidimensional assessment revealed complex and comorbid symptoms exhibited in youth with high suicidality. By expediting and personalizing care for those displaying elevated suicidality, the digital notification system can play a pivotal role in preventing rapid symptom progression and its detrimental impacts on young people's mental health.

青少年心理健康服务中处理自杀意念和行为的数字方法:观察性研究。
背景:心理健康治疗的漫长等待时间可能导致自杀意念和行为的早期发现和管理延迟,这对于有效的精神卫生保健和自杀预防至关重要。使用数字技术是迅速识别高自杀率青少年的潜在解决方案。目的:本研究的主要目的是评估数字自杀通知系统的使用,该系统旨在检测和响应青少年心理健康服务中的自杀需求。其次,本研究旨在描述不同水平的青少年自杀意念和行为。方法:年龄在16 - 25岁之间的年轻人使用数字平台完成多维度评估,收集人口统计、临床、社会、功能和自杀信息。当自杀得分超过基于临床专业知识和服务政策设定的预定阈值时,平台内配置的基于规则的算法会立即向治疗临床医生发出警报。分析随后的临床行为和反应时间。结果:共有2021人参与,其中266人(11%)触发了一次或多次高自杀意念和行为通知。在生成的292个通知中,76%(222/292)得到解决,中位响应时间为1.9天(范围0-50.8)。针对自杀行为采取的临床行动包括制定安全计划(60%,134/222)、进行安全检查(18%,39/222)、心理治疗(8%,17/222)、转移到其他服务机构(3%,8/222)和安排新的预约(2%,4/222)。自杀率高的年轻人更有可能出现更严重的共病症状,包括工作或教育参与度低、异质性精神病理、药物滥用和复发性疾病。结论:数字自杀通知系统通过提醒临床医生注意青少年中检测到的高水平自杀意念和行为,促进了及时的临床行动。此外,多维度评估揭示了高自杀率青少年表现出的复杂和共病症状。通过加快对自杀倾向升高者的个性化护理,数字通知系统可以在防止症状快速发展及其对年轻人心理健康的有害影响方面发挥关键作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
14.40
自引率
5.40%
发文量
654
审稿时长
1 months
期刊介绍: The Journal of Medical Internet Research (JMIR) is a highly respected publication in the field of health informatics and health services. With a founding date in 1999, JMIR has been a pioneer in the field for over two decades. As a leader in the industry, the journal focuses on digital health, data science, health informatics, and emerging technologies for health, medicine, and biomedical research. It is recognized as a top publication in these disciplines, ranking in the first quartile (Q1) by Impact Factor. Notably, JMIR holds the prestigious position of being ranked #1 on Google Scholar within the "Medical Informatics" discipline.
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