Feasibility and preliminary efficacy of a smartphone application intervention for subthreshold depression

Takahashi, Kana; Takada, Koki; Hirao, Kazuki

doi:10.1111/eip.12540

Cited by 24 publications

(34 citation statements)

References 18 publications

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“…All studies examined usage data in some aspects of their evaluation, and most papers were ascribed to one or more of the following constructs: user adherence [ 40 , 46 , 49 - 51 , 53 , 55 , 62 , 64 , 75 , 80 , 82 , 85 ], engagement [ 47 , 48 , 52 , 56 , 61 , 65 , 67 , 77 , 79 , 84 ], or acceptability [ 45 , 57 , 71 ]. Although adoption was included in our search, none of the reviewed studies used analytics as a proxy to measure that indicator.…”

Section: Resultsmentioning

confidence: 99%

“…In terms of how metrics were analyzed, many studies [ 40 , 42 , 44 - 48 , 50 , 54 , 57 - 59 , 62 , 63 , 65 , 66 , 68 - 70 , 72 - 77 , 79 , 80 , 82 , 85 , 86 ] presented usage metrics separately from the main study data using descriptive methods, which included the overall counts, frequencies, means, or SDs. Several studies [ 39 , 84 ] had the main objective of examining how different interventions (eg, behavioral activation) impacted user engagement on the app.…”

Section: Resultsmentioning

confidence: 99%

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Surveying the Role of Analytics in Evaluating Digital Mental Health Interventions for Transition-Aged Youth: Scoping Review

Lo¹,

Shi²,

Hollenberg³

et al. 2020

JMIR Ment Health

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Background Consumer-facing digital health interventions provide a promising avenue to bridge gaps in mental health care delivery. To evaluate these interventions, understanding how the target population uses a solution is critical to the overall validity and reliability of the evaluation. As a result, usage data (analytics) can provide a proxy for evaluating the engagement of a solution. However, there is paucity of guidance on how usage data or analytics should be used to assess and evaluate digital mental health interventions. Objective This review aimed to examine how usage data are collected and analyzed in evaluations of mental health mobile apps for transition-aged youth (15-29 years). Methods A scoping review was conducted using the Arksey and O’Malley framework. A systematic search was conducted on 5 journal databases using keywords related to usage and engagement, mental health apps, and evaluation. A total of 1784 papers from 2008 to 2019 were identified and screened to ensure that they included analytics and evaluated a mental health app for transition-aged youth. After full-text screening, 49 papers were included in the analysis. Results Of the 49 papers included in the analysis, 40 unique digital mental health innovations were evaluated, and about 80% (39/49) of the papers were published over the past 6 years. About 80% involved a randomized controlled trial and evaluated apps with information delivery features. There were heterogeneous findings in the concept that analytics was ascribed to, with the top 3 being engagement, adherence, and acceptability. There was also a significant spread in the number of metrics collected by each study, with 35% (17/49) of the papers collecting only 1 metric and 29% (14/49) collecting 4 or more analytic metrics. The number of modules completed, the session duration, and the number of log ins were the most common usage metrics collected. Conclusions This review of current literature identified significant variability and heterogeneity in using analytics to evaluate digital mental health interventions for transition-aged youth. The large proportion of publications from the last 6 years suggests that user analytics is increasingly being integrated into the evaluation of these apps. Numerous gaps related to selecting appropriate and relevant metrics and defining successful or high levels of engagement have been identified for future exploration. Although long-term use or adoption is an important precursor to realizing the expected benefits of an app, few studies have examined this issue. Researchers would benefit from clarification and guidance on how to measure and analyze app usage in terms of evaluating digital mental health interventions for transition-aged youth. Given the established role of adoption in the success of health information technologies, understanding how to abstract and analyze user adoption for consumer digital mental health apps is also an emerging priority.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Surveying the Role of Analytics in Evaluating Digital Mental Health Interventions for Transition-Aged Youth: Scoping Review

Lo¹,

Shi²,

Hollenberg³

et al. 2020

JMIR Ment Health

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“…While no such applications exist for PSD ( Pugliese et al, 2018 ), several have been reported to improve depressive symptoms in patients with clinical depression and subthreshold depression ( Hung et al, 2016 ; Takahashi et al, 2019b ; Ly et al, 2014 ; Ly et al, 2015 ; Fitzpatrick et al, 2017 ). To provide a therapeutic option that is easy to use, less burdensome for patients and caregivers, and with much lower risk of adverse effects, we have developed a motion picture-reproducing application called Subliminal Priming with Supraliminal Reward Stimulation (SPSRS) ( Takahashi et al, 2019b ). The SPSRS application automatically displays positive words in videos to improve depressive symptoms in patients with subthreshold depression.…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, the SPSRS application is less burdensome for PSD patients and enables the intervention practitioner to perform a unified intervention. Previous studies have shown that the SPSRS application can reduce depressive symptoms in patients with subthreshold depression ( Takahashi et al, 2019b ). However, there are relatively few studies on the mechanisms underlying specific symptoms or clinical features of PSD ( Robinson and Jorge, 2016 ).…”

Section: Introductionmentioning

confidence: 99%

An iPad application-based intervention for improving post-stroke depression symptoms in a convalescent rehabilitation ward: A pilot randomized controlled clinical trial protocol

Uchida

Hiragaki

Nishi

et al. 2020

Internet Interventions

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Background Post-stroke depression (PSD) is a neuropsychiatric sequela that causes serious adverse effects on the prognosis of stroke patients. Our developed iPad application is a very innovative approach designed to improve participants' depressive symptoms by presenting positive words stimuli in a video. Although this application has fewer side effects than existing pharmacological and non-pharmacological interventions and is likely less burdensome for patients and caregivers, its efficacy for PSD has not been investigated. Here we present a pilot randomized controlled trial (RCT) protocol to investigate the therapeutic potential of this application intervention for PSD patients. Methods This study is designed as a 5-week, single-center, open-label, parallel-group, pilot RCT. Thirty-two patients with PSD will be randomly assigned to a combination of the iPad application and usual rehabilitation or usual rehabilitation alone (1:1 allocation ratio). The iPad application intervention lasts 3 min a day, and the usual rehabilitation lasts 3 h a day. The primary outcome is the change from baseline in The Center for Epidemiologic Studies Depression Scale score at the end of the 5-week intervention. Discussion This pilot RCT is the first study to investigate the potential of iPad application interventions to reduce depressive symptoms in PSD patients. This pilot RCT determines whether this is a viable and effective intervention and informs the design for a full-scale trial. If our hypothesis is correct, this trial can provide evidence to augment the standard practice of iPad application interventions to improve depressive symptoms in patients with PSD.

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“…Notwithstanding, even this rather conservative transition to smartphones has led to interventions out of reach for classic mobile phones. Exploiting larger screen resolutions and multimedia capabilities, one finds examples of multimodal learning materials using both audio and video guides [133,167], using pictures [83, 86-88, 117, 129], audio [83,87,88,117], music [86][87][88] and video [83,88,156]. Leveraging the improved connectivity and ubiquity of smartphones, some authors offer access to entire online libraries of learning materials [127,167]; others utilize in-app prompting as intervention techniques, e.g., sending reminders to use the app [87,103,104,118,159], motivational messages [70] or messages from the therapist [90,163].…”

Section: Coverage Of Technical Dimensionsmentioning

confidence: 99%

Analysis and Development of a Platform for Generating Context-Aware Apps for Mental Health

Tena¹

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This work gathers a research carried out on the use of context-aware technologies in their application to the field of mental health. It begins by performing a deep state of the art of mobile technologies used in psychological interventions and extracting the characteristics and disorders most discussed in the literature; It continues to propose a series of considerations to take into account in the development of this type of technologies to increase its chances of success, focusing on three areas of study: Context, Mental Health and the Technology itself; The next contribution is the process of developing a platform that allows therapists to create their own mobile applications with geolocation to customize their own intervention tools without the need for high technical knowledge, the development is based on the learning obtained in the first two contributions, it is described as an intervention example a hypothetical case of depression; Finally, the platform is validated with three patients suffering from two different disorders: Panic disorder and agoraphobia; and gambling disorder.

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Feasibility and preliminary efficacy of a smartphone application intervention for subthreshold depression

Abstract: Although this app intervention has the potential to reduce depressive symptoms, the app needs to be improved to increase adherence rates.

Cited by 24 publications

References 18 publications

Surveying the Role of Analytics in Evaluating Digital Mental Health Interventions for Transition-Aged Youth: Scoping Review

Surveying the Role of Analytics in Evaluating Digital Mental Health Interventions for Transition-Aged Youth: Scoping Review

An iPad application-based intervention for improving post-stroke depression symptoms in a convalescent rehabilitation ward: A pilot randomized controlled clinical trial protocol

Analysis and Development of a Platform for Generating Context-Aware Apps for Mental Health

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