Anxiety Management on Campus: An Evaluation of a Mobile Health Intervention

Paul, Alicia M.; Fleming, C. J. Eubanks

doi:10.1007/s41347-018-0074-2

Cited by 19 publications

(19 citation statements)

References 11 publications

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“…The Woebot app showed significant reduction of depression scores in comparison to patients using the CBT book [50]. In terms of anxiety, the MindShift app reduced anxiety in students after 3 weeks of usage, where the app was found to be satisfactory in terms of usability and acceptability [52]. Despite the fact that the effectiveness of CBT is well-documented and established for several anxiety disorders [34], additional research is further recommended to understand the efficacy of CBT in tinnitus related depression and anxiety [58].…”

Section: Discussionmentioning

confidence: 88%

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Contemporary and Systematic Review of Smartphone Apps for Tinnitus Management and Treatment

Mehdi¹,

Dode²,

Pryss³

et al. 2020

Preprint

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Tinnitus is a complex and heterogeneous psycho-physiological disorder responsible for causing a phantom ringing or buzzing sound albeit the absence of an external sound source. It has a direct influence on affecting the quality of life of its sufferers. Despite being around for a while, there hasn’t been a cure for tinnitus, and the usual course of action for its treatment involves use of tinnitus retaining and sound therapy, or Cognitive Behavioral Therapy (CBT). One positive aspect about these therapies is that they can be administered face-to-face as well as delivered via internet or smartphone. Smartphones are especially helpful as they are highly personalized devices, and offer a well-established ecosystem of apps, accessible via respective marketplaces of differing mobile platforms. Note that current therapeutic treatments such as CBT have shown to be effective in suppressing the tinnitus symptoms when administered face-to-face, their effectiveness when being delivered using smartphones is not known so far. A quick search on the prominent market places of popular mobile platforms (Android and iOS) yielded roughly 250 smartphone apps offering tinnitus-related therapies and tinnitus management. As this number is expected to steadily increase due to high interest in smartphone app development, a contemporary review of such apps is crucial. In this paper, we aim to review scientific studies validating the smartphone apps, particularly to test their effectiveness in tinnitus management and treatment. We use the PRISMA guidelines for systematic identification of studies on major scientific literature sources and delineate the outcomes of identified studies.

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Section: Discussionmentioning

confidence: 88%

“…Diapason for Tinnitus, ReSound Relief. Table 3 presents four studies [49][50][51][52] on the efficacy of three different CBT apps (Wysa, Woebot, MindShift). Unfortunately, none of these studies reports on effects of CBT directly on tinnitus, instead, the focus is on anxiety and depression.…”

Section: Discussionmentioning

confidence: 99%

Contemporary and Systematic Review of Smartphone Apps for Tinnitus Management and Treatment

Mehdi¹,

Dode²,

Pryss³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…The methodologies employed in the studies based on the apps used in the proposed study are heterogeneous, and this is in keeping with other previous research on other mental health apps [ 3 ]. The studies here had varying attrition rates (the Destressify research [ 30 ] reported 19.9%; MoodMission [ 34 ], 54.8%; Smiling Mind [ 36 ], 17.7%; MindShift [ 15 ], 46.7%; and SuperBetter [ 39 ], 73.9%), but the varying intervention times and methodologies may have contributed to these attrition rates. Some studies were conducted by researchers who either developed the app or had an otherwise pre-existing association with the app being tested (in the case of MoodMission and SuperBetter ).…”

Section: Discussionmentioning

confidence: 99%

“…Participants will supply their own smartphones and/or tablet devices. In total, 5 different apps will be used: (1) Destressify [ 30 , 31 ], (2) MoodMission [ 32 - 35 ], (3) Smiling Mind [ 36 , 37 ], (4) MindShift [ 15 , 38 ], and (5) SuperBetter [ 39 , 40 ].…”

Section: Methodsmentioning

confidence: 99%

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Effectiveness of Using Mental Health Mobile Apps as Digital Antidepressants for Reducing Anxiety and Depression: Protocol for a Multiple Baseline Across-Individuals Design

Marshall¹,

Dunstan²,

Bartik³

2020

JMIR Res Protoc

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Background The use of mental health mobile apps to treat anxiety and depression is widespread and growing. Several reviews have found that most of these apps do not have published evidence for their effectiveness, and existing research has primarily been undertaken by individuals and institutions that have an association with the app being tested. Another reason for the lack of research is that the execution of the traditional randomized controlled trial is time prohibitive in this profit-driven industry. Consequently, there have been calls for different methodologies to be considered. One such methodology is the single-case design, of which, to the best of our knowledge, no peer-reviewed published example with mental health apps for anxiety and/or depression could be located. Objective The aim of this study is to examine the effectiveness of 5 apps (Destressify, MoodMission, Smiling Mind, MindShift, and SuperBetter) in reducing symptoms of anxiety and/or depression. These apps were selected because they are publicly available, free to download, and have published evidence of efficacy. Methods A multiple baseline across-individuals design will be employed. A total of 50 participants will be recruited (10 for each app) who will provide baseline data for 20 days. The sequential introduction of an intervention phase will commence once baseline readings have indicated stability in the measures of participants’ mental health and will proceed for 10 weeks. Postintervention measurements will continue for a further 20 days. Participants will be required to provide daily subjective units of distress (SUDS) ratings via SMS text messages and will complete other measures at 5 different time points, including at 6-month follow-up. SUDS data will be examined via a time series analysis across the experimental phases. Individual analyses of outcome measures will be conducted to detect clinically significant changes in symptoms using the statistical approach proposed by Jacobson and Truax. Participants will rate their app on several domains at the end of the intervention. Results Participant recruitment commenced in January 2020. The postintervention phase will be completed by June 2020. Data analysis will commence after this. A write-up for publication is expected to be completed after the follow-up phase is finalized in January 2021. Conclusions If the apps prove to be effective as hypothesized, this will provide collateral evidence of their efficacy. It could also provide the benefits of (1) improved access to mental health services for people in rural areas, lower socioeconomic groups, and children and adolescents and (2) improved capacity to enhance face-to-face therapy through digital homework tasks that can be shared instantly with a therapist. It is also anticipated that this methodology could be used for other mental health apps to bolster the independent evidence base for this mode of treatment. International Registered Report Identifier (IRRID) PRR1-10.2196/17159