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A Structured Decision-Making Framework for Clinicians Evaluating Mental Health Apps

Document Type

Article

Abstract

The rapid growth of mobile mental health applications has created new opportunities for expanding access to behavioral health support, yet it has also introduced significant challenges related to app quality, clinical relevance, usability, and data privacy. Mental health professionals are increasingly asked to evaluate or recommend digital tools despite limited guidance on how to determine whether an app is credible, evidence-informed, or appropriate for a given client. This article presents a structured decision-making framework to support clinicians in systematically evaluating mental health apps for potential integration into care. The framework outlines clear steps for identifying client needs, generating and narrowing app options, assessing clinical and technical quality, and implementing selected tools in a patient-centered manner. It also highlights considerations related to user experience, safety, cultural appropriateness, and privacy. By offering a practical and adaptable model, this framework aims to enhance clinicians’ confidence in navigating the evolving digital health landscape and to promote more consistent, informed, and ethical app selection practices. Implications for technology-enabled behavioral health, clinical decision support, and the integration of digital tools into routine practice are discussed.

Publication Title

Journal of Technology in Behavioral Science

Publication Date

2026

ISSN

2366-5963

DOI

10.1007/s41347-026-00610-w

Keywords

behavioral health practice, clinical decision-making, digital health evaluation, mental health apps, mHealth, technology integration

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