Designing a Scalable, Accessible, and Effective Mobile App Based Solution for Common Mental Health Problems

Ha, Seung Wan; Kim, Jusub

doi:10.1080/10447318.2020.1750792

Cited by 23 publications

(19 citation statements)

References 43 publications

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“…Our findings suggest a significant increase in well-being, which has also been observed in similar studies [ 22 , 24 ]. A decrease in depression symptoms has also been reported in other studies that evaluated mental health app use [ 31 , 79 - 81 ]. Similar themes and statistics have also been reported for user engagement and acceptance [ 82 , 83 ].…”

Section: Discussionsupporting

confidence: 72%

Acceptability, Engagement, and Exploratory Outcomes of an Emotional Well-being App: Mixed Methods Preliminary Evaluation and Descriptive Analysis

Eisenstadt¹,

Liverpool²,

Metaxa³

et al. 2021

JMIR Form Res

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You selected:'No' -Are the participants in your study randomised to different groups? 'No' -Does your study protocol demand changing treatment/ patient care from accepted standards for any of the patients involved? 'No' -Are your findings going to be generalisable? Your study would NOT be considered Research by the NHS.You may still need other approvals.Researchers requiring further advice (e.g. those not confident with the outcome of this tool) should contact their R&D office or sponsor in the first instance, or the HRA to discuss your study. If contacting the HRA for advice, do this by sending an outline of the project (maximum one page), summarising its purpose, methodology, type of participant and planned location as well as a copy of this results page and a summary of the aspects of the decision(s) that you need further advice on to the HRA Queries

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Section: Discussionsupporting

confidence: 72%

Acceptability, Engagement, and Exploratory Outcomes of an Emotional Well-being App: Mixed Methods Preliminary Evaluation and Descriptive Analysis

Eisenstadt¹,

Liverpool²,

Metaxa³

et al. 2021

JMIR Form Res

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“…Gamification was applied to promote engagement and provide rewards such as “virtual coins” for “level completion.” Gamification refers to the use of mechanisms and game-based thinking to engage users and encourage action and problem-solving [ 105 ]. In one app, gamification was used to rate the advice the user received through the app, with the user assigning points called “sprouts” ( Spring ) [ 101 ]. Several apps included quizzes to test a user’s knowledge following completing a psychoeducation module (eg, GG Self Esteem ) [ 61 ].…”

Section: Resultsmentioning

confidence: 99%

“…A randomized study design was used to examine the effectiveness, acceptability or feasibility of 18 apps targeting mental health outcomes (e.g. anxiety, depression and stress) across 10 articles [6][7][8][9][10][11][12][13][14][15].…”

Section: Rctsmentioning

confidence: 99%

Mobile Apps That Promote Emotion Regulation, Positive Mental Health, and Well-being in the General Population: Systematic Review and Meta-analysis

Eisenstadt¹,

Liverpool²,

Infanti³

et al. 2021

JMIR Ment Health

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“…Treatment duration ranged from 10 days to 4 months. Most of the studies (26/38, 68%) used mental health apps with CBT [ 31 , 45 - 48 , 50 , 51 , 53 , 55 - 62 , 66 - 68 , 72 - 75 , 77 - 79 ], 32% (12/38) used mindfulness [ 49 , 52 , 57 , 63 - 67 , 69 - 71 , 74 , 76 , 82 ], 8% (3/38) used ACT [ 62 , 73 , 82 ], 8% (3/38) did not have a therapy associated with the app, and only 5% (2/38) used BA [ 54 , 70 ]. In terms of the depressive symptom outcome measures, 32% (12/38) of the studies used the PHQ-9, 26% (10/38) used the BDI-II, 16% (6/38) used the DASS-21, 11% (4/38) used the CES-D, 3% (1/38) used the HADS, 3% (1/38) used the IDS-SR, 3% (1/38) used the CCAPS-34, and 3% (1/38) used the PROMIS.…”

Section: Resultsmentioning

confidence: 99%

“…Two independent reviewers independently coded the studies in a Microsoft Excel spreadsheet. The following data were extracted from each article: first author, year of publication, participants’ characteristics (ie, gender and age), population, and study length ( Multimedia Appendix 3 ), as well as app name, app classification (ie, mobile or internet), presence of gamification elements, type of gamification element (eg, digital rewards, challenge or game, and competition or challenges), app adherence, the instrument used to measure depression, and type of therapy (eg, CBT and ACT) offered ( Table 1 ) [ 31 , 49 - 85 ].…”

Section: Methodsmentioning

confidence: 99%

Examining the Effectiveness of Gamification in Mental Health Apps for Depression: Systematic Review and Meta-analysis

Six¹,

Byrne²,

Tibbett³

et al. 2021

JMIR Ment Health

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Background Previous research showed that computerized cognitive behavioral therapy can effectively reduce depressive symptoms. Some mental health apps incorporate gamification into their app design, yet it is unclear whether features differ in their effectiveness to reduce depressive symptoms over and above mental health apps without gamification. Objective The aim of this study was to determine whether mental health apps with gamification elements differ in their effectiveness to reduce depressive symptoms when compared to those that lack these elements. Methods A meta-analysis of studies that examined the effect of app-based therapy, including cognitive behavioral therapy, acceptance and commitment therapy, and mindfulness, on depressive symptoms was performed. A total of 5597 articles were identified via five databases. After screening, 38 studies (n=8110 participants) remained for data extraction. From these studies, 50 total comparisons between postintervention mental health app intervention groups and control groups were included in the meta-analysis. Results A random effects model was performed to examine the effect of mental health apps on depressive symptoms compared to controls. The number of gamification elements within the apps was included as a moderator. Results indicated a small to moderate effect size across all mental health apps in which the mental health app intervention effectively reduced depressive symptoms compared to controls (Hedges g=–0.27, 95% CI –0.36 to –0.17; P<.001). The gamification moderator was not a significant predictor of depressive symptoms (β=–0.03, SE=0.03; P=.38), demonstrating no significant difference in effectiveness between mental health apps with and without gamification features. A separate meta-regression also did not show an effect of gamification elements on intervention adherence (β=–1.93, SE=2.28; P=.40). Conclusions The results show that both mental health apps with and without gamification elements were effective in reducing depressive symptoms. There was no significant difference in the effectiveness of mental health apps with gamification elements on depressive symptoms or adherence. This research has important clinical implications for understanding how gamification elements influence the effectiveness of mental health apps on depressive symptoms.

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Designing a Scalable, Accessible, and Effective Mobile App Based Solution for Common Mental Health Problems

Cited by 23 publications

References 43 publications

Acceptability, Engagement, and Exploratory Outcomes of an Emotional Well-being App: Mixed Methods Preliminary Evaluation and Descriptive Analysis

Acceptability, Engagement, and Exploratory Outcomes of an Emotional Well-being App: Mixed Methods Preliminary Evaluation and Descriptive Analysis

Mobile Apps That Promote Emotion Regulation, Positive Mental Health, and Well-being in the General Population: Systematic Review and Meta-analysis

Examining the Effectiveness of Gamification in Mental Health Apps for Depression: Systematic Review and Meta-analysis

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