Effectiveness of a Prescription Digital Therapeutic of Cognitive-Behavioral Therapy for Insomnia in 2 Clinical Trials and in Real-World Clinical Settings: A Number Needed to Treat Analysis
Author(s)
Velez F1, Morin C2, Ritterband L3, Thorndike F1, Forma F1, Gerwien R1, Wendorf A1, Pfister B1, Maricich Y1
1Pear Therapeutics (US), Inc., Boston, MA, USA, 2École de Psychologie and Centre de Recherche CERVO, Quebec, QC, Canada, 3University of Virginia School of Medicine, Charlottesville, VA, USA
Presentation Documents
OBJECTIVES: Despite high prevalence, chronic insomnia remains undertreated. Cognitive-behavioural therapy for insomnia (CBT-I) is the recommended first-line treatment; however, access to CBT-I is limited. A prescription digital therapeutic (PDT)—an FDA-authorized, software-based treatment—was developed to provide digital CBT-I (dCBTi) for adults with chronic insomnia. This secondary analysis evaluated the effectiveness of insomnia treatment response and remission (including number needed to treat [NNT]) of dCBTi (including this specific PDT) across multiple randomized clinical trials and real-world populations.
METHODS: Adults with chronic insomnia had access to dCBTi for 9 weeks in: a) 2 pivotal randomized controlled trials (GoodNight [n=1,149] and UVA Study [n=303]); b) a real-world ongoing study (DREAM; n=777); and c) a real-world population whose claims were followed for 24 months (n=248). Treatment response was Insomnia Severity Index (ISI) score improvement of >7 points; remission was an ISI score <8 by end of treatment (EOT). Effect sizes were estimated at EOT. NNTs were calculated vs control data or vs baseline data if no controls available.
RESULTS: In GoodNight, 62.8% (n=360/574) of patients achieved responder status (NNT: 2.0); 61.6% (n=354/574) achieved insomnia remission status (NNT: 2.1) by EOT. In the UVA study, 52.6% (n=70/133) were responders (NNT: 1.9); 40.6% (n=54/133) were remitters (NNT: 2.5). In DREAM, 45.9% (n=357/777) were responders (NNT: 2.2); 29.7% (n=231/777) were remitters (NNT: 3.4). In the 24-month real-world cohort, 58.9% (n=146/248) were responders (NNT:1.7); 26.6% (n=66/248) were remitters (NNT: 3.8) by EOT. Effect sizes for change in ISI scores were similar across GoodNight, UVA, DREAM, and 24-month cohorts, with Cohen’s d = 2.00, 1.62, 1.41, and 1.75, respectively.
CONCLUSIONS: Treatment with dCBTi is effective in reducing insomnia severity and helping patients achieve response and remission regardless of setting—real-world cohorts demonstrated similarly low NNTs, large effect sizes, high treatment response and remission rates as pivotal trial cohorts.
Conference/Value in Health Info
Value in Health, Volume 25, Issue 12S (December 2022)
Code
CO129
Topic
Clinical Outcomes, Medical Technologies, Study Approaches
Topic Subcategory
Clinical Trials, Comparative Effectiveness or Efficacy, Performance-based Outcomes
Disease
STA: Medical Devices