The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
mHealth for mental health: Integrating smartphone technology in behavioral healthcare.
Abstract
The rapid growth in the use of smartphones has opened a new world of opportunities for use in behavioral health care. Mobile phone software applications (apps) are available for a variety of useful tasks to include symptom assessment, psychoeducation, resource location, and tracking of treatment progress. The latest two-way communication functionality of smartphones also brings new capabilities for telemental health. There is very little information available, however, regarding the integration of smartphone and other mobile technology into care. In this paper, we provide an overview of smartphone use in behavioral health care and discuss options for integrating mobile technology into clinical practice. We also discuss limitations, practical issues, and recommendations.
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“Recent studies have shown that those who received Web-based CBTi had improved sleep outcomes [22-26].”
From Tamper-Resistant Mobile Health Using Blockchain Technology. (2017) · cites this paper as [22]
In the citing paper
“Luxton et al. demonstrated the efficacy of predictive analytics in identifying mental health crises early, which is crucial for timely intervention [49]. For healthcare workers, predictive analytics can identify those at high risk of mental health issues before they manifest, enabling proactive intervention.”
From Mental Health in Healthcare Workers Post-COVID-19: A Latin American Review and Insights into Personalized Management Strategies (2024) · cites this paper as [49]
In the citing paper
“Smartphone, or mobile, apps may present a versatile and personalized platform for the delivery of a dedicated MBI for populations experiencing a concussion [28].”
In the citing paper
“However, many of the recent advances in smartphones have enabled the use of automated sensors and in-built cameras. 50”
From Effectiveness of mobile technologies delivering Ecological Momentary Interventions for stress and anxiety: A systematic review (2016) · cites this paper as [50]
In the citing paper
“Web-based programs delivered through smartphones are increasingly used to support the self-management of various health disorders; however, research on smartphone interventions for patients with chronic pain is limited [17].”
In the citing paper
“Furthermore, there is the possibility of loss, theft, or malfunction of the mobile device [5], or cybercriminals specifically targeting health information [207], all of which could result in the loss of sensitive data.”
From Smartphone Apps for the Treatment of Mental Disorders: Systematic Review (2020) · cites this paper as [5]
In the citing paper
“Among the advantages of using smartphones rather than the traditional personal computer s are their small size and mobility, making self-management support available to the user in most situations [17].”
Citations
Cites
Ellison, N. B., Steinfield, C., & Lampe, C. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00367.x · Cited by 9,939
McHugh, R. K., & Barlow, D. H. (2010) · American Psychologist · doi:10.1037/a0018121 · Cited by 909
Papastergiou, M. (2009) · Comput. Educ. · doi:10.1016/j.compedu.2009.04.001 · Cited by 598
Palermo, T. M., Eccleston, C., Lewandowski, A. S., de C. Williams, A. C., & Morley, S. (2010) · Pain · doi:10.1016/j.pain.2009.10.004 · Cited by 489
Pope, K. S., & Vásquez, M. J. T. (2011) · doi:10.1002/9781118001875.app1 · Cited by 431
Keenan, T. A. (1964) · Communications of the ACM · doi:10.1145/364005.364020 · Cited by 413
College Smoking-Cessation Using Cell Phone Text Messaging
Obermayer, J. L., Riley, W. T., Asif, O., & Jean-Mary, J. (2004) · Journal of American College Health · doi:10.3200/jach.53.2.71-78 · Cited by 321
Happy Ending: a randomized controlled trial of a digital multi‐media smoking cessation intervention
Brendryen, H., & Kraft, P. (2008) · Addiction · doi:10.1111/j.1360-0443.2007.02119.x · Cited by 292
Biofeedback Treatment for Headache Disorders: A Comprehensive Efficacy Review
Nestoriuc, Y., Martin, A., Rief, W., & Andrasik, F. (2008) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-008-9060-3 · Cited by 273
Mobile Interventions for Severe Mental Illness: Design and Preliminary Data From Three Approaches
Depp, C. A., Mausbach, B., Granholm, E., Cardenas, V., Ben-Zeev, D., Patterson, T. L., Lebowitz, B. D., & Jeste, D. V. (2010) · Journal of Nervous & Mental Disease · doi:10.1097/nmd.0b013e3181f49ea3 · Cited by 265 · cited 1×
“Podcasts are becoming a very popular way for individuals to obtain behavioral health information (Dingfelder, 2010).”
BackgroundInternet use by the socially fearful: addiction or therapy?
Campbell, A. J., Cumming, S. R., & Hughes, I. (2006) · CyberPsychology & Behavior · doi:10.1089/cpb.2006.9.69 · Cited by 249
A nurse short message service by cellular phone in type‐2 diabetic patients for six months
Kim, H., & Jeong, H. (2007) · Journal of Clinical Nursing · doi:10.1111/j.1365-2702.2007.01698.x · Cited by 180
Investigating a smartphone imaging unit for photoplethysmography
Jonathan, E., & Leahy, M. J. (2010) · Physiological Measurement · doi:10.1088/0967-3334/31/11/n01 · Cited by 178
Electronic tracking of patients with dementia and wandering using mobile phone technology
Miskelly, F. (2005) · Age and Ageing · doi:10.1093/ageing/afi145 · Cited by 175 · cited 1×
“This feature can be useful for locating patients with dementia if they wander away and can help caregivers find them (Miskelly, 2005).”
BackgroundCell phones for ecological momentary assessment with cocaine-addicted homeless patients in treatment
Freedman, M. J., Lester, K. M., McNamara, C. L., Milby, J. B., & Schumacher, J. E. (2006) · Journal of Substance Abuse Treatment · doi:10.1016/j.jsat.2005.10.005 · Cited by 168
Amichai‐Hamburger, Y., & Furnham, A. F. (2005) · Computers in Human Behavior · doi:10.1016/j.chb.2005.08.008 · Cited by 143
Application of smart phone in "Better Border Healthcare Program": A module for mother and child care
Kaewkungwal, J., Singhasivanon, P., Khamsiriwatchara, A., Sawang, S., Meankaew, P., & Wechsart, A. (2010) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-10-69 · Cited by 126
Technology-Based Suicide Prevention: Current Applications and Future Directions
Luxton, D. D., June, J. D., & Kinn, J. T. (2011) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2010.0091 · Cited by 124
Self-citationStratton, R. J., Stubbs, R. J., Hughes, D., King, N. A., Blundell, J. E., & Elia, M. (1998) · European Journal of Clinical Nutrition · doi:10.1038/sj.ejcn.1600636 · Cited by 119
DePompei, R., Gillette, Y., Goetz, E., Xenopoulos-Oddsson, A., Bryen, D. N., & Dowds, M. M. (2008) · Neurorehabilitation · doi:10.3233/nre-2008-23605 · Cited by 97
The Efficacy of Behavioral Treatments for Hypertension
Linden, W., & Moseley, J. V. (2006) · Applied Psychophysiology and Biofeedback · doi:10.1007/s10484-006-9004-8 · Cited by 97
Safety of Telemental Healthcare Delivered to Clinically Unsupervised Settings: A Systematic Review
Luxton, D. D., Sirotin, A. P., & Mishkind, M. C. (2010) · Telemedicine Journal and e-Health · doi:10.1089/tmj.2009.0179 · Cited by 92
Self-citationInfectious Diseases Resources for the iPhone
Oehler, R. L., Smith, K., & Toney, J. (2010) · Clinical Infectious Diseases · doi:10.1086/651602 · Cited by 91
Treatment of insomnia in adults and children: a practice‐friendly review of research
Taylor, D. J., & Roane, B. M. (2010) · Journal of Clinical Psychology · doi:10.1002/jclp.20733 · Cited by 83
Rao, A. V., Hou, P., Golnik, T., Flaherty, J., & Vu, S. (2010) · Journal of Diabetes Science and Technology · doi:10.1177/193229681000400426 · Cited by 80
Liu, X., & LaRose, R. (2008) · CyberPsychology & Behavior · doi:10.1089/cpb.2007.0040 · Cited by 66
Choudhri, A. F., & Radvany, M. G. (2010) · Journal of Imaging Informatics in Medicine · doi:10.1007/s10278-010-9312-7 · Cited by 62
Anterior segment slitlamp photography using the iPhone
Barsam, A., Bhogal, M. S., Morris, S. R., & Little, B. (2010) · Journal of Cataract & Refractive Surgery · doi:10.1016/j.jcrs.2010.04.001 · Cited by 41
Ciemins, E. L., Coon, P. J., & SORLI, C. H. (2010) · Journal of Diabetes Science and Technology · doi:10.1177/193229681000400427 · Cited by 38
Alcohol Assessment Among College Students Using Wireless Mobile Technology
Bernhardt, J. M., Usdan, S., Mays, D. M., Martin, R. J., Cremeens, J. L., & Arriola, K. J. (2009) · Journal of Studies on Alcohol and Drugs · doi:10.15288/jsad.2009.70.771 · Cited by 34
Vishwanath, A., Brodsky, L. S., & Shaha, S. H. (2009) · Journal of Health Communication · doi:10.1080/10810730802592270 · Cited by 24
Using Smartphone Applications in Perioperative Practice
Brusco, J. M. (2010) · AORN Journal · doi:10.1016/j.aorn.2010.09.001 · Cited by 22
Baerlocher, M. O., Talanow, R., & Baerlocher, A. F. (2010) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2009.09.016 · Cited by 17
Kubota, A., Fujita, M., & Hatano, Y. (2004) · PubMed · Cited by 14
Smartphone Utilities for Infectious Diseases Specialists
Focosi, D. (2008) · Clinical Infectious Diseases · doi:10.1086/592354 · Cited by 9
Systematic development of web based CPR instruction in the emerging global smart phone era
You, J. S., Park, J. W., Chung, S. P., & Park, S.-H. (2010) · Resuscitation · doi:10.1016/j.resuscitation.2010.03.043 · Cited by 2
Teall, A. M. (2009) · PubMed · Cited by 2
[Digital handwriting recognition in data collection for autopsy reports with an Apple Newton].
Schweitzer, W., & Hardmeier, T. (1996) · PubMed · Cited by 1
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Sorted by citations
Smartphones for smarter delivery of mental health programs: A systematic review
Donker, T., Petrie, K., Proudfoot, J., Clarke, J., Birch, M.-R., & Christensen, H. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2791 · Cited by 1,136
“Technical problems and factors related to telecommunication can arise (eg, battery failures, reliability and sustainability of connections [11]), and issues of data security, patient privacy, and the identification and timely management of crises and risk of harm must be carefully considered when integrating smartphon…”
BackgroundTrull, T. J., & Ebner-Priemer, U. (2013) · Annual Review of Clinical Psychology · doi:10.1146/annurev-clinpsy-050212-185510 · Cited by 761
mHealth: A Mechanism to Deliver More Accessible, More Effective Mental Health Care
Price, M., Yuen, E. K., Goetter, E. M., Herbert, J. D., Forman, E. M., Acierno, R., & Ruggiero, K. J. (2014) · Clinical Psychology & Psychotherapy · doi:10.1002/cpp.1855 · Cited by 488
Feasibility, Acceptability, and Preliminary Efficacy of a Smartphone Intervention for Schizophrenia
Ben-Zeev, D., Brenner, C. J., Begale, M., Duffecy, J., Mohr, D. C., & Mueser, K. T. (2014) · Schizophrenia Bulletin · doi:10.1093/schbul/sbu033 · Cited by 493
Ben-Zeev, D., Scherer, E. A., Wang, R., Xie, H., & Campbell, A. T. (2015) · Psychiatric Rehabilitation Journal · doi:10.1037/prj0000130 · Cited by 429
Metadata
- Authors
- Luxton, D. D., McCann, R. A., Bush, N. E., Mishkind, M. C., & Reger, G. M.
- Venue
- Professional Psychology: Research and Practice
- Published
- 2011-12
- Volume
- 42
- Issue
- 6
- Pages
- 505-512
- ISSN
- 0735-7028 (ISSN-L)
- 1939-1323
- OpenAlex
- W2064721329
- Cited by
- 809
- References
- 38
- Citations by year
- 2026: 24 · 2025: 21 · 2024: 29 · 2023: 45 · 2022: 43 · 2021: 59 · 2020: 69 · 2019: 99 · 2018: 86 · 2017: 86 · 2016: 77 · 2015: 70 · 2014: 58 · 2013: 27 · 2012: 16
- FWCI
- 44.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Professional Psychology Research and Practice (publishedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Keywords
- mobile health, mobile application, behavioral health services, telemental health, mobile technology integration, symptom assessment, psychoeducation, clinical practice integration
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