Cited by 693Digital Mental Health InterventionsMobile Health and mHealth ApplicationsTelemedicine and Telehealth Implementation

The DOI matches its Crossref record; 86 of the 93 references it cites were found in a registry or an index; none of the 98 sources its claims cite is checked for support yet.

Behavioral Intervention Technologies: Evidence review and recommendations for future research in mental health

Open access

Abstract

OBJECTIVE: A technical expert panel convened by the Agency for Healthcare Research and Quality and the National Institute of Mental Health was charged with reviewing the state of research on behavioral intervention technologies (BITs) in mental health and identifying the top research priorities. BITs refers to behavioral and psychological interventions that use information and communication technology features to address behavioral and mental health outcomes. METHOD: This study on the findings of the technical expert panel. RESULTS: Videoconferencing and standard telephone technologies to deliver psychotherapy have been well validated. Web-based interventions have shown efficacy across a broad range of mental health outcomes. Social media such as online support groups have produced disappointing outcomes when used alone. Mobile technologies have received limited attention for mental health outcomes. Virtual reality has shown good efficacy for anxiety and pediatric disorders. Serious gaming has received little work in mental health. CONCLUSION: Research focused on understanding reach, adherence, barriers and cost is recommended. Improvements in the collection, storage, analysis and visualization of big data will be required. New theoretical models and evaluation strategies will be required. Finally, for BITs to have a public health impact, research on implementation and application to prevention is required.

Overview

Integrity signals

Registry

Crossref · 10.1016/j.genhosppsych.2013.03.008

Cites

86 of 86 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

67 Not checked yet · 52 Own interpretation · 18 No basis given

Verify all 98 references — free account

Show all 72 claims

  • It may state two separate claims as one. 32
  • The quote only partly states this claim. 2
  • Probably not a substantial claim. 41
65 of 65
  • The paper relies on this without support.

    Companies have started creating and selling BITs for many mental health conditions.

    “Industry has begun developing and marketing BITs for a wide variety of mental health problems.”
  • The paper relies on this without support.

    These products often reach the market with little or no evidence about whether they work or are useful.

    “These are frequently brought to market with little or no evaluation of their efficacy or utility.”
  • The paper relies on this without support.

    Sensors in passive data collection gather information that can be used to infer a patient's state.

    “In passive data collection, sensors automatically collect data that can help to infer the patient state.”
  • The paper relies on this without support.

    The cost of immersive 3-D systems has been a barrier to widespread implementation.

    “However, the cost of immersive 3-D systems has been a barrier to widespread implementation.”
  • The paper relies on this without support.

    Many BITs, such as web-based interventions and some virtual reality interventions, have high dropout and low utilization rates.

    “Many BITs, such as web-based interventions and in some instances virtual reality interventions, have high dropout and low utilization rates.”
  • The paper relies on this without support.

    Greater adherence and engagement is often associated with better outcomes.

    “as there is evidence that greater adherence and engagement is often associated with better outcomes”
  • The paper relies on this without support.

    Many patients may be uncomfortable with, or unable to use or access, the technologies employed by BITs.

    “For example, many patients may be uncomfortable with, or unable to use or access, the technologies employed by the interventions.”
  • The paper relies on this without support.

    BITs may increase costs by delaying traditional treatments with greater evidence of efficacy or by increasing the numbers of patients receiving services.

    “It is also possible that BITs may increase costs by delaying the provision of traditional treatments with greater evidence of efficacy, or by increasing the numbers of patients receiving services.”
  • The paper relies on this without support.

    Traditional intervention evaluation models typically require years and can be costly.

    “Traditional intervention evaluation models typically require years and can be costly.”
9 of 9

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Citations

Cites

Show all 93 references

Research works printed but not linked: 2

  1. Burns MN, Mohr DC. eHealth, Telehealth, and Telemedicine, in Encyclopedia of Behavioral Medicine. In: Gellman MD, Turner JR, Editors. New York: In Press, Springer.
  2. Miluzzo, E., et al. Research in the App Store Era: Experiences from the CenceMe App Deployment on the iPhone. in Proceedings of The First International Workshop Research in the Large: Using App Stores, Markets, and other Wide Distribution Channels in UbiComp Research. 2010. Copenhagen, Denmark.: ACM

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Metadata

Authors
Mohr, D. C., Burns, M. N., Schueller, S. M., Clarke, G., & Klinkman, M.
Affiliations
  • Northwestern University (US)
  • Kaiser Permanente Center for Health Research (US)
  • University of Michigan (US)
Corresponding author
Mohr, David C.
Venue
General Hospital Psychiatry
Publisher
Elsevier BV
Published
2013-07
Volume
35
Issue
4
Pages
332-338
ISSN
0163-8343 (ISSN-L)
OpenAlex
W2000217803
Cited by
693
References
93
Citations by year
2026: 35 · 2025: 60 · 2024: 48 · 2023: 56 · 2022: 48 · 2021: 64 · 2020: 65 · 2019: 60 · 2018: 49 · 2017: 68 · 2016: 65 · 2015: 37 · 2014: 31 · 2013: 5
FWCI
5.62
Type
journal article
Language
en
Open access
Locations
  • General Hospital Psychiatry (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • National Institutes of Health (UL1TR000150)
  • National Institute of Mental Health (P20MH090318, R01MH059708)
  • National Center for Advancing Translational Sciences
Topics
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
Keywords
mental health, telemedicine, videoconferencing, online intervention, online support groups, social media, virtual reality, serious games, anxiety, childhood diseases, research priorities, implementation, mental health prevention, big data
MeSH terms
Mental Disorders, Health Services Accessibility, Humans, National Institute of Mental Health (U.S.), Patient Compliance, Psychiatry, Psychotherapy, Self-Help Groups, United States, United States Agency for Healthcare Research and Quality, Treatment Outcome, Telemedicine, Social Networking, Social Media, Virtual Reality Exposure Therapy

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