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      The Effectiveness of a Brief Telehealth and Smartphone Intervention for College Students Receiving Traditional Therapy: Longitudinal Study Using Ecological Momentary Assessment Data

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          Abstract

          Background

          Brief interventions such as mental health apps and single-session interventions are increasingly popular, efficacious, and accessible delivery formats that may be beneficial for college students whose mental health needs may not be adequately met by college counseling centers. However, no studies so far have examined the effectiveness of these modes of treatment for college students who are already receiving traditional therapy, despite it being common among this population.

          Objective

          The aim of this study was to compare the differences in self-reported momentary negative affect between college students in therapy and not in therapy who received a brief single-session intervention delivered by counseling center staff and a supplemental mobile app.

          Methods

          Data for this study were drawn from E-Manage, a brief mobile health intervention geared toward college students. Participants in the study were 173 college students who indicated whether they had received therapy. We conducted a multilevel model to determine whether there were differences between those in therapy versus not in therapy in negative affect reported throughout the study. Following this, we conducted multilevel models with therapy status as the predictor and negative affect as the outcome.

          Results

          Results of the multilevel model testing showed that the cross-level interaction between the time point (ie, pre- vs postexercise) and therapy status was significant ( P=.008), with the reduction in negative affect from pre- to postexercise greater for those in therapy ( b=–0.65, 95% CI –0.91 to –0.40; P<.001) than it was for those not in therapy ( b=–0.31, 95% CI –0.43 to –0.19; P<.001). Therapy status was unassociated with both the pre-exercise ( b=–1.69, 95% CI –3.51 to 0.13; P=.07) and postexercise ( b=–1.37, 95% CI –3.17 to 0.43; P=.14) ratings of negative affect.

          Conclusions

          These findings suggest that app-based and single-session interventions are also appropriate to use among college students who are receiving traditional therapy. A randomized controlled trial comparing students receiving therapy to students receiving therapy and E-Manage will be necessary to determine to what extent E-Manage contributed to the reductions in negative affect that therapy-attending college students experienced.

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          Most cited references27

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          Mental disorders among college students in the World Health Organization World Mental Health Surveys.

          Although mental disorders are significant predictors of educational attainment throughout the entire educational career, most research on mental disorders among students has focused on the primary and secondary school years.
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            Evaluating Digital Health Interventions: Key Questions and Approaches.

            Digital health interventions have enormous potential as scalable tools to improve health and healthcare delivery by improving effectiveness, efficiency, accessibility, safety, and personalization. Achieving these improvements requires a cumulative knowledge base to inform development and deployment of digital health interventions. However, evaluations of digital health interventions present special challenges. This paper aims to examine these challenges and outline an evaluation strategy in terms of the research questions needed to appraise such interventions. As they are at the intersection of biomedical, behavioral, computing, and engineering research, methods drawn from all of these disciplines are required. Relevant research questions include defining the problem and the likely benefit of the digital health intervention, which in turn requires establishing the likely reach and uptake of the intervention, the causal model describing how the intervention will achieve its intended benefit, key components, and how they interact with one another, and estimating overall benefit in terms of effectiveness, cost effectiveness, and harms. Although RCTs are important for evaluation of effectiveness and cost effectiveness, they are best undertaken only when: (1) the intervention and its delivery package are stable; (2) these can be implemented with high fidelity; and (3) there is a reasonable likelihood that the overall benefits will be clinically meaningful (improved outcomes or equivalent outcomes at lower cost). Broadening the portfolio of research questions and evaluation methods will help with developing the necessary knowledge base to inform decisions on policy, practice, and research.
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              The efficacy of app‐supported smartphone interventions for mental health problems: a meta‐analysis of randomized controlled trials

              Although impressive progress has been made toward developing empirically-supported psychological treatments, the reality remains that a significant proportion of people with mental health problems do not receive these treatments. Finding ways to reduce this treatment gap is crucial. Since app-supported smartphone interventions are touted as a possible solution, access to up-to-date guidance around the evidence base and clinical utility of these interventions is needed. We conducted a meta-analysis of 66 randomized controlled trials of app-supported smartphone interventions for mental health problems. Smartphone interventions significantly outperformed control conditions in improving depressive (g=0.28, n=54) and generalized anxiety (g=0.30, n=39) symptoms, stress levels (g=0.35, n=27), quality of life (g=0.35, n=43), general psychiatric distress (g=0.40, n=12), social anxiety symptoms (g=0.58, n=6), and positive affect (g=0.44, n=6), with most effects being robust even after adjusting for various possible biasing factors (type of control condition, risk of bias rating). Smartphone interventions conferred no significant benefit over control conditions on panic symptoms (g=-0.05, n=3), post-traumatic stress symptoms (g=0.18, n=4), and negative affect (g=-0.08, n=5). Studies that delivered a cognitive behavior therapy (CBT)-based app and offered professional guidance and reminders to engage produced larger effects on multiple outcomes. Smartphone interventions did not differ significantly from active interventions (face-to-face, computerized treatment), although the number of studies was low (n≤13). The efficacy of app-supported smartphone interventions for common mental health problems was thus confirmed. Although mental health apps are not intended to replace professional clinical services, the present findings highlight the potential of apps to serve as a cost-effective, easily accessible, and low intensity intervention for those who cannot receive standard psychological treatment.
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                Author and article information

                Contributors
                Journal
                JMIR Ment Health
                JMIR Ment Health
                JMH
                JMIR Mental Health
                JMIR Publications (Toronto, Canada )
                2368-7959
                June 2022
                29 June 2022
                : 9
                : 6
                : e33750
                Affiliations
                [1 ] Department of Psychology Rutgers, The State University of New Jersey Piscataway, NJ United States
                [2 ] Clinical Psychology Northwell Health New Hyde Park, NY United States
                [3 ] Department of Psychiatry Massachusetts General Hospital Harvard Medical School Boston, MA United States
                Author notes
                Corresponding Author: Madison E Taylor metaylor1116@ 123456gmail.com
                Author information
                https://orcid.org/0000-0001-9112-8314
                https://orcid.org/0000-0002-6753-159X
                https://orcid.org/0000-0001-9230-1780
                https://orcid.org/0000-0002-4870-933X
                https://orcid.org/0000-0002-6875-6440
                https://orcid.org/0000-0001-8002-1167
                Article
                v9i6e33750
                10.2196/33750
                9280460
                35767338
                e3a83bf7-c3a9-4974-8a05-49d8c682ddc6
                ©Madison E Taylor, Olivia Lozy, Kaileigh Conti, Annmarie Wacha-Montes, Kate H Bentley, Evan M Kleiman. Originally published in JMIR Mental Health (https://mental.jmir.org), 29.06.2022.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Mental Health, is properly cited. The complete bibliographic information, a link to the original publication on https://mental.jmir.org/, as well as this copyright and license information must be included.

                History
                : 22 September 2021
                : 26 January 2022
                : 22 March 2022
                : 28 March 2022
                Categories
                Original Paper
                Original Paper

                college students,digital mental health,brief interventions

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