Wolitzky-Taylor Kate, LeBeau Richard, Arnaudova Inna, Barnes-Horowitz Nora, Gong-Guy Elizabeth, Fears Scott, Congdon Eliza, Freimer Nelson, Craske Michelle
Department of Psychiatry and Biobehavioral Sciences, University of California - Los Angeles, Los Angeles, CA, United States.
Department of Psychology, University of California - Los Angeles, Los Angeles, CA, United States.
JMIR Ment Health. 2023 Jul 24;10:e46200. doi: 10.2196/46200.
The global burden of anxiety and depression has created an urgent need for scalable approaches to increase access to evidence-based mental health care. The Screening and Treatment for Anxiety and Depression (STAND) system of care was developed to meet this need through the use of internet-connected devices for assessment and provision of treatment. STAND triages to level of care (monitoring only, digital therapy with coaches, digital therapy assisted by clinicians in training, and clinical care) and then continuously monitors symptoms to adapt level of care. Triaging and adaptation are based on symptom severity and suicide risk scores obtained from computerized adaptive testing administered remotely.
This article discusses how the STAND system of care improves upon current clinical paradigms, and presents preliminary data on feasibility, acceptability, and effectiveness of STAND in a sample of US-based university students.
US-based university students were recruited and enrolled in an open trial of the STAND system of care. Participants were triaged based on initial symptom severity derived from a computerized adaptive test and monitored over 40 weeks on anxiety, depression, and suicide risk to inform treatment adaptation and evaluate preliminary effectiveness.
Nearly 5000 students were screened and 516 received care. Depression and anxiety severity scores improved across all tiers (P<.001 in all cases). Suicide risk severity improved in the highest tier (ie, clinical care; P<.001). Acceptability and feasibility were demonstrated.
STAND is a feasible and acceptable model of care that can reach large numbers of individuals. STAND showed preliminary effectiveness on all primary outcome measures. Current directions to improve STAND are described.
焦虑和抑郁的全球负担使得迫切需要可扩展的方法来增加获得循证心理健康护理的机会。焦虑和抑郁筛查与治疗(STAND)护理系统的开发就是为了满足这一需求,它通过使用联网设备进行评估和提供治疗。STAND根据护理级别进行分类(仅监测、有指导的数字疗法、由实习临床医生辅助的数字疗法以及临床护理),然后持续监测症状以调整护理级别。分类和调整基于从远程进行的计算机自适应测试中获得的症状严重程度和自杀风险评分。
本文讨论了STAND护理系统如何改进当前的临床模式,并展示了在美国大学生样本中关于STAND的可行性、可接受性和有效性的初步数据。
招募了美国大学生并让他们参加STAND护理系统的开放试验。根据计算机自适应测试得出的初始症状严重程度对参与者进行分类,并在40周内对焦虑、抑郁和自杀风险进行监测,以指导治疗调整并评估初步有效性。
筛查了近5000名学生,516人接受了护理。所有层级的抑郁和焦虑严重程度评分均有所改善(所有情况下P<0.001)。最高层级(即临床护理)的自杀风险严重程度有所改善(P<0.001)。证明了其可接受性和可行性。
STAND是一种可行且可接受的护理模式,能够覆盖大量人群。STAND在所有主要结局指标上均显示出初步有效性。文中描述了当前改进STAND的方向。