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      Psychotherapeutic Applications of Mobile Phone-based Technologies: A Systematic Review of Current Research and Trends

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          Abstract

          There is a growing interest in using mobile phone technology to offer real-time psychological interventions and support. However, questions remain on the clinical effectiveness and feasibility of such approaches in psychiatric populations. Our aim was to systematically review the published literature on mobile phone apps and other mobile phone-based technology for psychotherapy in mental health disorders. To achieve this, electronic searches of PubMed, ScienceDirect, and Google Scholar were carried out in January 2016. Generated abstracts were systematically screened for eligibility to be included in the review. Studies employing psychotherapy in any form, being delivered through mobile-based technology and reporting core mental health outcomes in mental illness were included in the study. We also included trials in progress with published protocols reporting at least some outcome measures of such interventions. From a total of 1563 search results, 24 eligible articles were identified and reviewed. These included trials in anxiety disorders (8), substance use disorders (5), depression (4), bipolar disorders (3), schizophrenia and psychotic disorders (3), and attempted suicide (1). Of these, eight studies involved the use of smartphone apps and others involved personalized text messages, automated programs, or delivered empirically supported treatments. Trial lengths varied from 6 weeks to 1 year. Good overall retention rates indicated that the treatments were feasible and largely acceptable. Benefits were reported on core outcomes in mental health illness indicating efficacy of such approaches though sample sizes were small. To conclude, mobile phone-based psychotherapies are a feasible and acceptable treatment option for patients with mental disorders. However, there remains a paucity of data on their effectiveness in real-world settings, especially from low- and middle-income countries.

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          Most cited references41

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          mHealth: a mechanism to deliver more accessible, more effective mental health care.

          The increased popularity and functionality of mobile devices has a number of implications for the delivery of mental health services. Effective use of mobile applications has the potential to (a) increase access to evidence-based care; (b) better inform consumers of care and more actively engage them in treatment; (c) increase the use of evidence-based practices; and (d) enhance care after formal treatment has concluded. The current paper presents an overview of the many potential uses of mobile applications as a means to facilitate ongoing care at various stages of treatment. Examples of current mobile applications in behavioural treatment and research are described, and the implications of such uses are discussed. Finally, we provide recommendations for methods to include mobile applications into current treatment and outline future directions for evaluation. Mobile devices are becoming increasingly common among the adult population and have tremendous potential to advance clinical care. Mobile applications have the potential to enhance clinical care at stages of treatment-from engaging patients in clinical care to facilitating adherence to practices and in maintaining treatment gains. Research is needed to validate the efficacy and effectiveness of mobile applications in clinical practice. Research on such devices must incorporate assessments of usability and adherence in addition to their incremental benefit to treatment. Copyright © 2013 John Wiley & Sons, Ltd.
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            Self-monitoring Using Mobile Phones in the Early Stages of Adolescent Depression: Randomized Controlled Trial

            Background The stepped-care approach, where people with early symptoms of depression are stepped up from low-intensity interventions to higher-level interventions as needed, has the potential to assist many people with mild depressive symptoms. Self-monitoring techniques assist people to understand their mental health symptoms by increasing their emotional self-awareness (ESA) and can be easily distributed on mobile phones at low cost. Increasing ESA is an important first step in psychotherapy and has the potential to intervene before mild depressive symptoms progress to major depressive disorder. In this secondary analysis we examined a mobile phone self-monitoring tool used by young people experiencing mild or more depressive symptoms to investigate the relationships between self-monitoring, ESA, and depression. Objectives We tested two main hypotheses: (1) people who monitored their mood, stress, and coping strategies would have increased ESA from pretest to 6-week follow-up compared with an attention comparison group, and (2) an increase in ESA would predict a decrease in depressive symptoms. Methods We recruited patients aged 14 to 24 years from rural and metropolitan general practices. Eligible participants were identified as having mild or more mental health concerns by their general practitioner. Participants were randomly assigned to either the intervention group (where mood, stress, and daily activities were monitored) or the attention comparison group (where only daily activities were monitored), and both groups self-monitored for 2 to 4 weeks. Randomization was carried out electronically via random seed generation, by an in-house computer programmer; therefore, general practitioners, participants, and researchers were blinded to group allocation at randomization. Participants completed pretest, posttest, and 6-week follow-up measures of the Depression Anxiety Stress Scale and the ESA Scale. We estimated a parallel process latent growth curve model (LGCM) using Mplus to test the indirect effect of the intervention on depressive symptoms via the mediator ESA, and calculated 95% bias-corrected bootstrapping confidence intervals (CIs). Results Of the 163 participants assessed for eligibility, 118 were randomly assigned and 114 were included in analyses (68 in the intervention group and 46 in the comparison group). A parallel process LGCM estimated the indirect effect of the intervention on depressive symptoms via ESA and was shown to be statistically significant based on the 95% bias-corrected bootstrapping CIs not containing zero (–6.366 to –0.029). The proportion of the maximum possible indirect effect estimated was κ2 =.54 (95% CI .426–.640). Conclusions This study supported the hypothesis that self-monitoring increases ESA, which in turn decreases depressive symptoms for young people with mild or more depressive symptoms. Mobile phone self-monitoring programs are ideally suited to first-step intervention programs for depression in the stepped-care approach, particularly when ESA is targeted as a mediating factor. Trial Registration ClinicalTrials.gov NCT00794222; http://clinicaltrials.gov/ct2/show/NCT00794222 (Archived by WebCite at http://www.webcitation.org/65lldW34k)
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              CBT for depression: a pilot RCT comparing mobile phone vs. computer

              Background This paper reports the results of a pilot randomized controlled trial comparing the delivery modality (mobile phone/tablet or fixed computer) of a cognitive behavioural therapy intervention for the treatment of depression. The aim was to establish whether a previously validated computerized program (The Sadness Program) remained efficacious when delivered via a mobile application. Method 35 participants were recruited with Major Depression (80% female) and randomly allocated to access the program using a mobile app (on either a mobile phone or iPad) or a computer. Participants completed 6 lessons, weekly homework assignments, and received weekly email contact from a clinical psychologist or psychiatrist until completion of lesson 2. After lesson 2 email contact was only provided in response to participant request, or in response to a deterioration in psychological distress scores. The primary outcome measure was the Patient Health Questionnaire 9 (PHQ-9). Of the 35 participants recruited, 68.6% completed 6 lessons and 65.7% completed the 3-months follow up. Attrition was handled using mixed-model repeated-measures ANOVA. Results Both the Mobile and Computer Groups were associated with statistically significantly benefits in the PHQ-9 at post-test. At 3 months follow up, the reduction seen for both groups remained significant. Conclusions These results provide evidence to indicate that delivering a CBT program using a mobile application, can result in clinically significant improvements in outcomes for patients with depression. Trial registration Australian New Zealand Clinical Trials Registry ACTRN 12611001257954
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                Author and article information

                Journal
                Indian J Psychol Med
                Indian J Psychol Med
                IJPsyM
                Indian Journal of Psychological Medicine
                Medknow Publications & Media Pvt Ltd (India )
                0253-7176
                0975-1564
                Jan-Feb 2017
                : 39
                : 1
                : 4-11
                Affiliations
                [1]Department of Psychiatry, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India
                [1 ]Department of Psychiatry, All India Institute of Medical Sciences, New Delhi, India
                Author notes
                Address for correspondence: Dr. Vikas Menon Department of Psychiatry, Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry - 605 006, India. E-mail: drvmenon@ 123456gmail.com
                Article
                IJPsyM-39-4
                10.4103/0253-7176.198956
                5329989
                60ec4e20-a860-4f19-b0f5-cdca3529ce8d
                Copyright: © 2017 Indian Journal of Psychological Medicine

                This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.

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                Review Article

                Clinical Psychology & Psychiatry
                ehealth,mhealth,psychiatric disorders,psychotherapy,smartphone,technology

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