A mixed methods analysis of existing assessment and evaluation tools (AETs) for mental health applications.

Introduction: Mental health Applications (MH Apps) can potentially improve access to high-quality mental health care. However, the recent rapid expansion of MH Apps has created growing concern regarding their safety and effectiveness, leading to the development of AETs (Assessment and Evaluation Tools) to help guide users. This article provides a critical, mixed methods analysis of existing AETs for MH Apps by reviewing the criteria used to evaluate MH Apps and assessing their effectiveness as evaluation tools.

Stakeholders' views and opinions on existing guidelines on "How to Choose Mental Health Apps".

Background: Mental health Applications (Mhealth Apps) can change how healthcare is delivered. However, very little is known about the efficacy of Mhealth Apps. Currently, only minimum guidance is available in Assessment and Evaluation Tools (AETs).

Low-Intensity Cognitive Behavioural Therapy-Based Music Group (CBT-Music) for the Treatment of Symptoms of Anxiety and Depression: A Feasibility Study.

Background: Music has the potential to be an effective and engaging therapeutic intervention in the treatment of mental illness. This research area remains underdeveloped.

Aims: This paper reports the feasibility of an innovative low-intensity CBT-based music (CBT-Music) group targeted to symptoms of depression and anxiety.