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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].”
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Mutyara, A. G., Farras, B. A., Sari, L. P., Achmad, S., & Sutoyo, R. (2022) · International Conference on Informatics Electrical and Electronics (ICIEE) · doi:10.1109/iciee55596.2022.10010130 · Cited by 1
“It provides valuable functions integrated into conventional manualized treatments [10].”
BackgroundInfluentialComputer-Aided Psychotherapy Technologies
Jacob, M., & Storch, E. (2015) · Health informatics · doi:10.1007/978-3-319-14109-1_4
Gender differences in usage and user experience of Oiva App
Vehkanen, L. (2015) · Jyväskylä University Digital Archive (University of Jyväskylä) · Cited by 1
Developing a smartphone application for depression: tracking risk and wellness factors
Sacco, G. R. (2025) · Library, Museums and Press - UDSpace (University of Delaware) · doi:10.58088/8yea-c112 · Cited by 1
Patwary, A. B. M. K. (2016) · e-Publications@Marquette (Marquette University) · Cited by 1
E-mindful health: Evaluation of mobile apps for mindfulness
Mani, M. (2017) · Queensland University of Technology · doi:10.5204/thesis.eprints.102651 · Cited by 2
From birth to independent walking
Boonzaaijer, M. (2021) · Utrecht University Repository (Utrecht University) · doi:10.33540/875 · Cited by 1
Pung, A., Fletcher, S. L., & Gunn, J. M. (2018) · doi:10.2196/preprints.10035 · Cited by 1
Peerenboom, N., Guzman, N. V., Kvamme, T. L., Ritou, V., Casero, V., & Voon, V. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4133117 · Cited by 1
The Significance of Online Stress Therapy ApplicationsPreprint
Sereda, S., & Lunov, V. (2023) · SSRN Electronic Journal · doi:10.2139/ssrn.4595351 · Cited by 1
Review of the Consumer Perspective Framework for Healthcare Applications
Tin, E. E., Cummings, E. A., & Borycki, E. M. (2015) · IGI Global eBooks · doi:10.4018/978-1-4666-8756-1.ch021
Introducing C&BP's New Media Resource Reviews
Khanna, M. S. (2014) · Cognitive and Behavioral Practice · doi:10.1016/j.cbpra.2014.09.001
Deliverable 3.3 Interaction Design Patterns for Using EmerGent in Social Apps
Akerkar, R. A., Reuter, C., Cristaldi, M., Ludwig, T. G., Muddiman, A., Toscano, F., & Sangiorgio, F. (2014)
Kognitiv beteendeterapi och interpersonell terapi vid social fobi förmedlad via smarttelefon
Bsenko, H. A., & Hjerling, S. (2012)
Using text-messages to promote positive youth mental health and wellbeing
Arps, E. R. (2015) · UC Research Repository (University of Canterbury) · doi:10.26021/4136
“Built-in and plug-in sensors (e.g. biofeedback sensors) allow for passive data collection of behaviour and emotions in real-time, helping to establish what triggers result in a certain behaviour (Lathia et al., 2013; Luxton et al., 2011; Miller, 2012).”
Background
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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