Abstract Purpose of Review The German Digital Healthcare Act (DiGA) established a framework for prescribing and reimbursing digital health applications. However, despite high prescription rates, adherence for mental health applications remain low. This review systematically analyzed the functional landscape of all approved mental health DiGAs. Using the standardized MIND evaluation framework, we benchmarked the design features, engagement strategies, and technical capabilities of DiGAs against leading commercial “wellness” apps to identify specific barriers to retention. Recent Findings Our analysis of 30 DiGAs and 29 matched commercial apps reveals a distinct functional dichotomy. DiGAs currently exclude severe mental illnesses such as bipolar disorder or schizophrenia. Moreover, they frequently lack native mobile interfaces, with 12 DiGAs (43.3%) relying on web-based access. Notably, while many DiGAs are supported by AI-enabled features, they often lack manufacturer-provided human guidance for navigating the application. Our analysis reveals a distinct functional dichotomy: DiGAs are characterized by a high prevalence of psychoeducational content ( n = 27, 93.1%). Commercial, non-prescribable apps rely significantly more frequently on gamification strategies ( n = 21, 72.4%) and connectivity with wearables and sensors ( n = 11, 37.9%) than DiGAs. Summary While the DiGA framework ensures regulatory compliance and safety, current functional designs appear unoptimized for sustained engagement. The reliance on web-based versions rather than native apps, the focus on rigid educational components, and the lack of human support, gamification elements, or wearable connectivity may all explain low adherence. Future developments should focus on bridging this gap, potentially through hybrid models that combine digital navigators with scalable AI-driven support to enhance both safety and user retention.
Herpertz et al. (Sat,) studied this question.