All Knowledge Bank Articles

988 is a new number in the United States focused on providing lifesaving suicide prevention and crisis services, established to address longstanding concerns in mental health care. This article explores the difference between 988 and existing services.

Prescription digital therapeutics (PDTs) have the potential to facilitate and expand access to OUD treatment by delivering evidence-based neurobehavioral treatment in a convenient, familiar, and confidential form.

Long-term hospitalization, especially with minimal interpersonal engagement, is associated with risk of delirium and delayed recovery. This study explores the emotional and physiological responses of critically ill children experiencing VR.

Geoffrey Boyce describes the gaps that digital mental health approaches can fill, and why its importance should extend beyond the pandemic and have a permanent place in mental health strategy.

MoodMission aims to capitalise on the incredible flexibility, portability, and adaptability of mobile apps. When a user feels anxious or low, they simply open the app, report how they feel with three taps, and are immediately offered five different “Missions” they could use to cope.

This study aimed to better understand how mHealth studies conducted in the past 5 years have addressed the challenges of participant engagement and retention.

One of the most dominant areas of demand for telehealth is mental health. Personal Collective Health Alliance Managing Director Rob Havasy and Cloudbreak Health CEO Jamey Edwards […] discuss the perils and potential of virtual care for behavioral health.

Universal screening in emergency departments (EDs) has […] led to a near 2-fold increase in suicide risk detection in adults. Predictive models might augment face-to-face screening and leverage electronic health record (EHR) data toward the automated, early detection of individuals at risk of suicide.

This paper highlights the opportunity to increase the relevance of digital mental health technology to users by incorporating recommender systems that suggest personalised content based on an individual’s data exhaust.

Understanding how to build back equitably after the pandemic requires gathering the appropriate data and being responsive to the groups who were hardest hit by pandemic-related distress.