Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, USA
Department of Biostatistics, Yale University School of Public Health, New Haven, Connecticut, USA.
BMJ Open. 2022 Aug 8;12(8):e062041. doi: 10.1136/bmjopen-2022-062041.
Cognitive behavioural therapy for insomnia (CBT-I) is effective at treating chronic insomnia, yet in-person CBT-I can often be challenging to access. Prior studies have used technology to bridge barriers but have been unable to extensively assess the impact of the digital therapeutic on real-world patient experience and multidimensional outcomes. Among patients with insomnia, our aim is to determine the impact of a prescription digital therapeutic (PDT) (PEAR-003b, FDA-authorised as Somryst; herein called PDT) that provides mobile-delivered CBT-I on patient-reported outcomes (PROs) and healthcare utilisation.
We are conducting a pragmatically designed, prospective, multicentre randomised controlled trial that leverages Hugo, a unique patient-centred health data-aggregating platform for data collection and patient follow-up from Hugo Health. A total of 100 participants with insomnia from two health centres will be enrolled onto the Hugo Health platform, provided with a linked Fitbit (Inspire 2) to track activity and then randomised 1:1 to receive (or not) the PDT for mobile-delivered CBT-I (Somryst). The primary outcome is a change in the insomnia severity index score from baseline to 9-week postrandomisation. Secondary outcomes include healthcare utilisation, health utility scores and clinical outcomes; change in sleep outcomes as measured with sleep diaries and a change in individual PROs including depressive symptoms, daytime sleepiness, health status, stress and anxiety. For those allocated to the PDT, we will also assess engagement with the PDT.
The Institutional Review Boards at Yale University and the Mayo Clinic have approved the trial protocol. This trial will provide important data to patients, clinicians and policymakers about the impact of the PDT device delivering CBT-I on PROs, clinical outcomes and healthcare utilisation. Findings will be disseminated to participants, presented at professional meetings and published in peer-reviewed journals.
NCT04909229.
认知行为疗法治疗失眠症(CBT-I)在治疗慢性失眠症方面非常有效,但实际的 CBT-I 往往难以获得。先前的研究已经使用技术来克服障碍,但未能广泛评估数字治疗对现实世界患者体验和多维结果的影响。在失眠症患者中,我们的目的是确定提供移动 CBT-I 的处方数字治疗(PDT)(PEAR-003b,FDA 授权为 Somryst;本文称为 PDT)对患者报告的结果(PROs)和医疗保健利用的影响。
我们正在进行一项实用设计、前瞻性、多中心随机对照试验,该试验利用 Hugo 进行,这是一个独特的以患者为中心的健康数据聚合平台,用于从 Hugo Health 收集数据和患者随访。将从两个健康中心招募 100 名失眠症患者到 Hugo Health 平台上,为他们提供一个链接的 Fitbit(Inspire 2)来跟踪活动,然后以 1:1 的比例随机分配(或不分配)接受移动 CBT-I(Somryst)的 PDT。主要结局是从基线到随机分组后 9 周时失眠严重程度指数评分的变化。次要结局包括医疗保健利用、健康效用评分和临床结局;使用睡眠日记测量的睡眠结果变化和包括抑郁症状、白天嗜睡、健康状况、压力和焦虑在内的个别 PROs 的变化。对于分配到 PDT 的患者,我们还将评估对 PDT 的参与情况。
耶鲁大学和梅奥诊所的机构审查委员会已经批准了试验方案。这项试验将为患者、临床医生和政策制定者提供有关提供 CBT-I 的 PDT 设备对 PROs、临床结果和医疗保健利用的影响的重要数据。研究结果将传播给参与者,在专业会议上展示,并发表在同行评议的期刊上。
NCT04909229。