Efficacy and Outcomes of a Music-Based Emotion Regulation Mobile App in Distressed Young People: Randomized Controlled Trial

Hides, Leanne; Dingle, Genevieve A.; Quinn, Catherine; Stoyanov, Stoyan; Zelenko, Оksana; Tjondronegoro, Dian; Cockshaw, Wendell; Kavanagh, David J.

doi:10.2196/11482

Cited by 53 publications

(62 citation statements)

References 62 publications

(68 reference statements)

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“…The user can select music stations based on specific songs or the mood of a song [26]. Current applications use several approaches including streaming mood-related playlists, providing mood-tagging options for users' own libraries, and playing soundscapes to promote relaxation [27]. A few have been explicitly designed to address mental health, emotion regulation and wellbeing.…”

Section: Introductionmentioning

confidence: 99%

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Online Screening of X-System Music Playlists Using an Integrative Wellbeing Model Informed by the Theory of Autopoiesis

et al. 2020

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Research suggests that music has a powerful effect on the human mind and body. This paper explores the impact of music as an intervention. For this purpose, the X-System technology is used to curate relaxing and enlivening music playlists designed to positively impact wellbeing and emotional state during the COVID-19 pandemic. A wellbeing model grounded in autopoietic theory of self-organisation in living systems is developed to inform the evaluation of the impact of the intervention and ensure the reliability of the data. More specifically, data quality is enhanced by focusing the participants' awareness on their immediate embodied experience of physical, emotional and relational wellbeing and sense of pleasure/displeasure prior to and after listening to a preferred playlist. The statistical analysis shows significant positive changes in emotional wellbeing, valence and sense of meaning (p < 0.001) with a medium effect size. It also reveals a statistically significant change for physical wellbeing (p = 0.009) with a small effect size. With the relaxing playlists leading to decrease in arousal levels and the enlivening playlists to an increase in activation, it is also concluded that appropriately curated playlists may be able to lead the listener to positive relaxation or activation states or indeed to positive mood change that may have health benefits.

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Section: Introductionmentioning

confidence: 99%

“…Examples include, eScape, Stress-free and X-System. The eScape mobile app teaches people how to identify and manage emotions using music, while targeting unhealthy music use [27]. Stress-free provides a tool for stress determination and treatment through computer music generation [28].…”

Section: Introductionmentioning

confidence: 99%

Online Screening of X-System Music Playlists Using an Integrative Wellbeing Model Informed by the Theory of Autopoiesis

et al. 2020

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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%

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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“…Smartphones are very popular with the youth and could be exploited to improve learning as a consequence of personal behavior changes [3,4]. In recent years, China has developed popular apps such as WeChat and QQ, which support instant text messaging and voice and video calling via smartphones.…”

Section: Introductionmentioning

confidence: 99%

Using Video Feedback Through Smartphone Instant Messaging in Fundamental Nursing Skills Teaching: Observational Study

Yang

Xie

Chen

et al. 2019

JMIR Mhealth Uhealth

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BackgroundVideo feedback has been shown to be an effective teaching tool that can improve student learning when having them view their own performance. However, the literature on the effect of integrating smartphones with video feedback in fundamental nursing skills teaching is sparse.ObjectiveThis study aimed to explore the potential effects of video feedback through smartphone-based instant messaging on teaching undergraduate nursing students fundamental nursing skills.MethodsWe conducted a study on teaching fundamental nursing skills to 6 classes of second-year undergraduate nursing students. In 2 classes (the intervention group), the instructor elected to use smartphone-based video feedback to facilitate teaching; instructors in the other 4 classes (the control group) elected to use routine methods of teaching without video feedback. Scores from the final examination, in-class assignments, and the General Self-Efficacy Scale questionnaire were collected and compared between the two groups. Multiple linear regression analysis was performed to estimate the independent effect of video feedback after adjusting for gender, age, and prior experience in the use of WeChat/QQ in learning applications. An ad hoc questionnaire was used for student evaluation of the novel smartphone-based video feedback teaching method.ResultsA total of 195 nursing students (65 in the video feedback group and 130 in the control group) completed the study and were included in the final analysis. Mean and standard deviation of scores on the final examination, bed making, aseptic procedure, vital signs measurement, and oxygen therapy were 91.29 (SD 2.36), 90.52 (SD 3.18), 93.23 (SD 3.16), 91.65 (SD 4.21), and 92.06 (SD 3.58), respectively, in the video feedback group and 89.99 (SD 3.12), 81.71 (SD 8.63), 87.12 (SD 5.50), 87.45 (SD 8.00), and 90.37 (SD 6.36), respectively, in the control group (differences were statistically significant). The mean and standard deviation of scores for assignments in catheterization and enema and General Self-Efficacy Scale were 89.69 (SD 3.22), 91.14 (SD 3.15), and 24.52 (SD 5.35), respectively, in the video feedback group and 88.82 (SD 7.48), 90.79 (SD 6.08), and 24.50 (SD 6.16), respectively, in the control group (differences were not statistically significant). The majority (over 98%) of nursing students were satisfied with this smartphone-based video feedback teaching method.ConclusionsVideo feedback through smartphone-based instant messaging may be an effective way to improve nursing students’ academic performance and professional skills.

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Efficacy and Outcomes of a Music-Based Emotion Regulation Mobile App in Distressed Young People: Randomized Controlled Trial

Cited by 53 publications

References 62 publications

Online Screening of X-System Music Playlists Using an Integrative Wellbeing Model Informed by the Theory of Autopoiesis

Online Screening of X-System Music Playlists Using an Integrative Wellbeing Model Informed by the Theory of Autopoiesis

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

Using Video Feedback Through Smartphone Instant Messaging in Fundamental Nursing Skills Teaching: Observational Study

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