Behavioral Intervention Technologies: Evidence review and recommendations for future research

By David C. Mohr, M. Burns, Stephen M. Schueller, G. Clarke, Michael S. Klinkman. General Hospital Psychiatry, 2010

679 citations recorded by the source corpus.

This paper reports on the findings of a technical expert panel convened by the Agency for Healthcare Research and Quality and the National Institute of Mental Health, charged with reviewing the state of research on behavioral intervention technologies (BITs) in mental health and identifying the top research priorities. BITs is the comprehensive term used to refer to behavioral and psychological interventions that use information and communication technology features to address behavioral and mental health outcomes. Mental health BITs using videoconferencing and standard telephone technologies to deliver psychotherapy have been wellvalidated. Web-based interventions have shown efficacy across a broad range of mental health outcomes, although outcomes vary widely. Social media such as online support groups have produced generally disappointing outcomes when used alone. Mobile technologies have received limited attention for mental health outcomes, although findings from behavioral health suggest they are promising. Virtual reality has shown good efficacy for anxiety and pediatric disorders. Serious gaming has received relatively little work in mental health. Recommendations for next step research in each of these are made. Research focused on understanding of reach, adherence, barriers and cost is recommended. As BITs can generate large amounts of data, improvements in the collection, storage, analysis, and visualization of big data will be required. Traditional psychological and behavioral theories have proven insufficient to understand how BITs produce behavioral change. Thus new theoretical models, as well as new evaluation strategies, will be required. Finally, for BITs to have a public health impact, research on implementation and application to prevention will be required.

Subfields: Applied Psychology, Pediatrics, Perinatology and Child Health, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/210c8e2b63163486e8adcb2e6aa43fe1fa3894d8

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In Applied Psychology

In Pediatrics, Perinatology and Child Health

Susan A. Murphy

In Sociology and Political Science

Citations in the corpus

Evaluating barriers to adopting telemedicine worldwide: A systematic review (2016, background): “Author(s) Barriers Country of origin Molfenter et al.9 Cost, reimbursement, technology-challenged staff, implementation models, confidentiality USA Petersen and DeMuro10 Privacy, legal, and technically challenged staff USA Kontos et al.11 Age, socioeconomic status, gender, level of education USA Lev”
The Behavioral Intervention Technology Model: An Integrated Conceptual and Technological Framework for eHealth and mHealth Interventions (2014, methodology): “We use the term BITs to refer to behavioral and psychological interventions that use a broad range of technologies, such as mobile phones, the Web, and sensors, aimed at changing behaviors and cognitions related to health, mental health, and wellness [2].”
Barriers to and Facilitators of User Engagement With Digital Mental Health Interventions: Systematic Review (2021, background): “DMHIs can be delivered via smartphone apps, internet websites, wearable devices, virtual reality, or video games [5] and range from self-guided DMHIs to those integrated with human support or traditional therapy [6].”
Putting the ‘app’ in Happiness: A Randomised Controlled Trial of a Smartphone-Based Mindfulness Intervention to Enhance Wellbeing (2016, methodology): “Yet Mohr et al. (2013) note how BITs have predominantly developed by adapting established paradigms, and the limitations this approach can bring.”
Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support (2017, background): “needed to address these states in a timely manner [66, 67].”
Challenges and Opportunities of Big Data in Health Care: A Systematic Review (2016, background): “It enables providers to track healthy behaviors and helps patients in monitoring their respective conditions [25,32,33].”