A Text Messaging Intervention (StayWell at Home) to Counteract Depression and Anxiety During COVID-19 Social Distancing: Pre-Post Study
JMIR Mental Health - Apps With Maps—Anxiety and Depression Mobile Apps With Evidence-Based Frameworks: Systematic Search of Major App Stores
Of the 293 apps shortlisted as offering a therapeutic treatment for anxiety and/or depression, 162 (55.3%) mentioned an evidence-based framework in their app store descriptions. Of the 293 apps, 88 (30.0%) claimed to use cognitive behavioral therapy techniques, 46 (15.7%) claimed to use mindfulness, 27 (9.2%) claimed to use positive psychology, 10 (3.4%) claimed to use dialectical behavior therapy, 5 (1.7%) claimed to use acceptance and commitment therapy, and 20 (6.8%) claimed to use other techniques. Of the 162 apps that claimed to use a theoretical framework, only 10 (6.2%) had published evidence for their efficacy.
Mobile Health Index and Navigation Database, App Evaluation Resources from the Division of Digital Psychiatry at BIDMC
The impact of guidance on Internet-based mental health interventions — A systematic review - ScienceDirect
(576) Neuroscientists Discover a Song That Reduces Anxiety By 65 Percent (Listen) - YouTube
No paywall like with Inc magazine weinreich mental_health, technology
Neuroscience Says Listening to This Song Reduces Anxiety by Up to 65 Percent
Crisis Text Line report reveals words that signal suicide
How people decide what they want to know - Tali Sharot and Cass R. Sunstein
Immense amounts of information are now accessible to people, including information that bears on their past, present and future. An important research challenge is to determine how people decide to seek or avoid information. Here we propose a framework of information-seeking that aims to integrate the diverse motives that drive information-seeking and its avoidance. Our framework rests on the idea that information can alter people’s action, affect and cognition in both positive and negative ways. The suggestion is that people assess these influences and integrate them into a calculation of the value of information that leads to information-seeking or avoidance. The theory offers a framework for characterizing and quantifying individual differences in information-seeking, which we hypothesize may also be diagnostic of mental health. We consider biases that can lead to both insufficient and excessive information-seeking. We also discuss how the framework can help government agencies to assess the welfare effects of mandatory information disclosure.
JMU - Use of the Chatbot “Vivibot” to Deliver Positive Psychology Skills and Promote Well-Being Among Young People After Cancer Treatment: Randomized Controlled Feasibility Trial | Greer | JMIR mHealth and uHealth
Using virtual reality experiences to treat severe pain
Easing The Pain Of Immunization Through VR
Digital Health Practices, Social Media Use, and Mental Well-Being Among Teens and Young Adults in the U.S.
A National Survey Sponsored By Hopelab and Well Being Trust 2018