Randomized Controlled Trial Examining Real-World Effectiveness of a Prescription Digital Therapeutic for the Treatment of Insomnia and Depression

  • Technology of Interest

    mHealth for Insomnia, PDT*

  • Disease Area

    Mental Health – Insomnia/Depression

  • Duration

    15 months

  • Network Collaborators

    Yale New Haven Hospital, Mayo Clinic

  • Overview

    Leveraging patient-generated health data, this project is assessing the impact of a mobile-delivered, prescription digital therapeutic (PDT) (Somryst) delivering Cognitive Behavioral Therapy for Insomnia (CBT-I) for real-world patients with chronic insomnia and depressive symptoms.

    Insomnia is one of the most prevalent health concerns and imposes a significant physical, behavioral, and financial burden on patients’ lives. Up to 50% of the general adult population experience insomnia symptoms, with 12-20% meeting criteria for chronic insomnia. Adults suffering from insomnia also have a higher likelihood of comorbid conditions such as depression, resulting in a reduced quality-of-life and higher rates of morbidity and mortality. CBT for insomnia is the recommended first line treatment for chronic insomnia, but many patients encounter treatment barriers, including a limited number of trained providers. The goal of this Test-Case is to conduct a multi-center randomized controlled trial to collect and evaluate real-world data alongside clinically-validated measures of insomnia and depression to yield a multidimensional analysis of patient benefit from a mobile-delivered CBT-I prescription digital therapeutic.

    Using Hugo Health, a patient-centered health data sharing platform for data collection and aggregation, this study is gathering and collating patient-reported outcomes, healthcare utilization data, and data from personal digital devices.  70 patients with chronic insomnia and depressive symptoms are being randomly allocated to receive the PDT delivering CBT-I or usual care and followed for 21 weeks.  The primary study endpoints are self-reported online ratings of insomnia severity.  Secondary endpoints include rate of healthcare utilization, change in sleep outcomes, and change in patient-reported outcomes of sleep quality.

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