Navigating Ethical Tensions in Digital Mental Health: Reconciling Clinical, Research, and Business Perspectives (Preprint)
Year: 2026
Type: preprint
Abstract: UNSTRUCTURED Digital mental health technologies increasingly combine clinical care (symptom monitoring, functional status, activity monitoring), research activities (just-in-time adaptive interventions), and business imperatives (sustainability, monetization). This convergence creates ethical challenges that cannot be adequately addressed by clinical ethics, research ethics, or business ethics alone yet no integrated framework currently governs products in which all three roles operate concurrently for the same user. Regulatory actions such as the 2023 Federal Trade Commission enforcement against BetterHelp illustrate the clinical consequences of this gap, and intensifying scrutiny of digital mental health platforms makes addressing it urgent. We address these concerns via an ethical framework for digital mental health that views development and deployment as a socio-technical practice shaped by overlapping and concurrent design obligations to patient well-being, research participant protections, and responsible value creation. These commitments should not be competing afterthoughts, but prospective responsibilities integrated from the outset of product development. The framework highlights several recurring areas of tension: autonomy versus targeted engagement; privacy versus personalization; beneficence versus safety uncertainty; justice versus scalable business models; and gaps in accountability across development and deployment. To address these challenges, we suggest five practical ethical recommendations: (1) clearly define user roles (patient, participant, consumer); (2) use layered and accessible communications to support transparency and informed consent; (3) adopt strong data minimization and security practices; (4) reduce the risk of behavioral manipulation, including the use of dark pattern strategies; and (5) establish shared accountability among developers, clinicians, researchers, and commercial leaders. We further call for prospective identification and mitigation of algorithmic bias, greater interdisciplinary collaboration across the innovation value chain and critical examination of the role of investment and venture capital in ethical decision-making. Further, we emphasize the importance of team science approaches and value-sensitive design throughout the entire digital mental health lifecycle. This framework is intended to be actionable for the interdisciplinary teams that include clinicians, researchers, developers, and business leaders who are responsible for building and deploying digital mental health products.
Language: English
Subfield: Applied Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7161649384