Self-guided cognitive behavioral therapy apps for depression: systematic assessment of features, functionality, and congruence with evidence

• Main Authors: Martinengo, Laura, Stona, Anne-Claire, Griva, Konstadina, Dazzan, Paola, Pariante, Carmine Maria, von Wangenheim, Florian, Car, Josip
• Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
• Format: Article
• Language: English
• Published: 2022
• Subjects: Science::Medicine; Cognitive Behavioral Therapy; Mobile Applications
• Online Access: https://hdl.handle.net/10356/163372
• Institution: Nanyang Technological University

Mental health disorders affect 1 in 10 people globally, of whom approximately 300 million are affected by depression. At least half of the people affected by depression remain untreated. Although cognitive behavioral therapy (CBT) is an effective treatment, access to mental health specialists, habitually challenging, has worsened because of the COVID-19 pandemic. Internet-based CBT is an effective and feasible strategy to increase access to treatment for people with depression. Mental health apps may further assist in facilitating self-management for people affected by depression; however, accessing the correct app may be cumbersome given the large number and wide variety of apps offered by public app marketplaces.