Topic
Topic
Major Depression
User behavior and clinical outcomes of a digital-health application in depression
Setup
Rewoso
Part of Rewoso’s real-world-evidence insights projects
Design
R
Realized in R-Statistics, RMarkdown
Real-world digital health insights about the user behavior, experience, and efficacy of a smartphone application that offers cognitive-behavioral therapy to help people diagnosed with major depression.
This real-world evidence (RWE) project helped understand user behavior and needs and patients’ outcomes and persistence to a digital-health application against depression, as there existed clinical evidence but no RWE for this application at the time. The investigated application (edupression) offers cognitive behavioral methods to help its users with their depression symptoms.
Methods: The data came from individuals diagnosed with major depression who were new users of the digital-health application as monotherapy or additional therapy. To assess symptom severity and user journeys, I chose and analyzed patient-reported outcomes (PROs), digital user behavior metrics like daily active users (DAU), and clinical outcomes, integrating real-world medical registry data (RWD) with digital-health data in a longitudinal single-arm observational setting. The patient results showed improving PRO depression symptoms, comparable to the phase-III randomized clinical trial results, but note the limitations of a single-arm design. The user behavior analyses indicated a potential for better user activation and retention. Details will be forthcoming at the 2024 DGN congress.
You can read the abstract if it is published at the DGN Congress.