The DOI matches its Crossref record, with a small difference in title or year; 37 of the 38 references it cites were found in a registry or an index.
Mobile Interventions for Severe Mental Illness: Design and Preliminary Data From Three Approaches
Open accessAbstract
Mobile devices can be used to deliver psychosocial interventions, yet there is little prior application in severe mental illness. We provide the rationale, design, and preliminary data from 3 ongoing clinical trials of mobile interventions developed for bipolar disorder or schizophrenia. Project 1 used a personal digital assistant to prompt engagement in personalized self-management behaviors based on real-time data. Project 2 employed experience sampling through text messages to facilitate case management. Project 3 was built on group functional skills training for schizophrenia by incorporating between-session mobile phone contacts with therapists. Preliminary findings were of minimal participant attrition, and no broken devices; yet, several operational and technical barriers needed to be addressed. Adherence was similar to that reported in nonpsychiatric populations, with high participant satisfaction. Therefore, mobile devices seem feasible and acceptable in augmenting psychosocial interventions for severe mental illness, with future research in establishing efficacy, cost effectiveness, and ethical and safety protocols.
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“Trials of mobile BITs have found some positive short-term benefits for anxiety disorders (39), eating disorders (40), bipolar disorder (41), and schizophrenia (42), although others have not been effective at treating depression (43).”
From Behavioral Intervention Technologies: Evidence review and recommendations for future research in mental health (2013) · cites this paper as [41]
In the citing paper
“ESM/EMA data that are fed back to individual patients close in time to their recording may give them insight into the factors that in fl uence their everyday moods and could therefore be therapeutic (Axelson et al., 2003; Depp et al., 2010; Wichers et al., 2011).”
From Mood Disorders in Everyday Life: A Systematic Review of Experience Sampling and Ecological Momentary Assessment Studies (2012) · cites this paper as Depp et al., 2010
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Cites
1 retracted
Assertive community treatment for people with severe mental disorders
Marshall, M., & Lockwood, A. (1998) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd001089 · Cited by 589
RetractedEcological momentary assessment
Shiffman, S., Stone, A. A., & Hufford, M. R. (2008) · Annual Review of Clinical Psychology · doi:10.1146/annurev.clinpsy.3.022806.091415 · Cited by 6,454
A Survey Method for Characterizing Daily Life Experience: The Day Reconstruction Method
Kahneman, D., Krueger, A. B., Schkade, D. A., Schwarz, N., & Stone, A. A. (2004) · Science · doi:10.1126/science.1103572 · Cited by 3,422
Relation of the therapeutic alliance with outcome and other variables: a meta-analytic review
Martin, D. J., Garske, J. P., & Davis, M. K. (2000) · Journal of Consulting and Clinical Psychology · doi:10.1037//0022-006x.68.3.438 · Cited by 3,355
Heron, K. E., & Smyth, J. M. (2010) · British Journal of Health Psychology · doi:10.1348/135910709x466063 · Cited by 1,438
Behavior change interventions delivered by mobile telephone short message service
Fjeldsoe, B. S., Marshall, A. L., & Miller, Y. D. (2009) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2008.09.040 · Cited by 1,213 · cited 2×
“For the purposes of this manuscript, “mobile device” is defined as a cellular telephone, PDA that allows users to use software applications but is not connected to a network, or a “smart” phone, which integrates features of cellular phones and PDAs into a single device (Fjeldsoe et al., 2009; Heron and Smyth, 2010).”
BackgroundMethodPaas, F., Renkl, A., & Sweller, J. (2004) · Instructional Science · doi:10.1023/b:truc.0000021806.17516.d0 · Cited by 1,054
The Schizophrenia Patient Outcomes Research Team (PORT): Updated Treatment Recommendations 2003
Lehman, A. F., Kreyenbuhl, J. A., Buchanan, R. W., Dickerson, F., Dixon, L. B., Goldberg, R., Green-Paden, L. D., Tenhula, W. N., Boerescu, D. A., Tek, C., et al. (2004) · Schizophrenia Bulletin · doi:10.1093/oxfordjournals.schbul.a007071 · Cited by 754
A Text Message–Based Intervention for Weight Loss: Randomized Controlled Trial
Patrick, K., Raab, F., Adams, M. A., Dillon, L., Zabinski, M., Rock, C. L., Griswold, W. G., & Norman, G. J. (2009) · Journal of Medical Internet Research · doi:10.2196/jmir.1100 · Cited by 671
Patrick, K., Griswold, W. G., Raab, F., & Intille, S. S. (2008) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2008.05.001 · Cited by 479
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Mental Health Smartphone Apps: Review and Evidence-Based Recommendations for Future Developments
Bakker, D., Kazantzis, N., Rickwood, D., & Rickard, N. (2016) · JMIR Mental Health · doi:10.2196/mental.4984 · Cited by 886
“Some mobile interventions that have been validated and trialed experimentally were built for personal digital assistants (PDAs) and not for modern smartphones [7,110].”
mHealth for mental health: Integrating smartphone technology in behavioral healthcare.
Luxton, D. D., McCann, R. A., Bush, N. E., Mishkind, M. C., & Reger, G. M. (2011) · Professional Psychology: Research and Practice · doi:10.1037/a0024485 · Cited by 809
“Podcasts are becoming a very popular way for individuals to obtain behavioral health information (Dingfelder, 2010).”
BackgroundInteractive telemedicine: effects on professional practice and health care outcomes
Flodgren, G., Rachas, A., Farmer, A. J., Inzitari, M., & Shepperd, S. (2015) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd002098.pub2 · Cited by 806
Mohr, D. C., Burns, M. N., Schueller, S. M., Clarke, G., & Klinkman, M. (2013) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2013.03.008 · Cited by 693
“Trials of mobile BITs have found some positive short-term benefits for anxiety disorders [39], eating disorders [40], bipolar disorder [41] and schizophrenia [42], although”
Trull, T. J., & Ebner-Priemer, U. (2013) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-050212-185510 · Cited by 761
Metadata
- Authors
- Depp, C. A., Mausbach, B., Granholm, E., Cardenas, V., Ben-Zeev, D., Patterson, T. L., Lebowitz, B. D., & Jeste, D. V.
- Affiliations
- University of California San Diego (US)
- United States Department of Veterans Affairs (US)
- Corresponding author
- Depp, Colin A.
- Mausbach, Brent
- Granholm, Eric
- Patterson, Thomas L.
- Lebowitz, Barry D.
- Jeste, Dilip V.
- ORCID
- Venue
- Journal of Nervous & Mental Disease
- Published
- 2010-10
- Volume
- 198
- Issue
- 10
- Pages
- 715-721
- ISSN
- 0022-3018 (ISSN-L)
- PMC
- PMC3215591
- OpenAlex
- W1991576326
- Cited by
- 265
- References
- 38
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 6 · 2023: 11 · 2022: 13 · 2021: 10 · 2020: 20 · 2019: 25 · 2018: 19 · 2017: 26 · 2016: 25 · 2015: 24 · 2014: 25 · 2013: 18 · 2012: 23
- FWCI
- 25.36
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- The Journal of Nervous and Mental Disease (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (P30MH080002, MH084967, MH077225, R34MH091260, K23MH077225, MH80002, MH091260, R01MH084967)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- mobile-based interventions, severe mental illness, bipolar disorder, schizophrenia, self-management, ecological momentary assessment, text messaging, case management, functional skills training, group therapy, personal digital assistants, participant attrition, feasibility, adherence, participant satisfaction, technology barriers
- MeSH terms
- Adult, Bipolar Disorder, Cost-Benefit Analysis, Feasibility Studies, Female, Humans, Male, Middle Aged, Pilot Projects, Psychotherapy, Schizophrenia, Schizophrenic Psychology, Self Care, Therapy, Computer-Assisted, Controlled Clinical Trials as Topic, Evidence-Based Medicine, Computers, Handheld, Cell Phone
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