Examining the Effectiveness of Gamification and Reward in Mental Health Applications for Depression: A Systematic Review and Meta-Analysis (Preprint)

2021 ◽  
Author(s):  
Stephanie G. Six ◽  
Kaileigh A. Byrne ◽  
Thomas P. Tibbett ◽  
Irene Pericot-Valverde

BACKGROUND Previous research showed that computerized cognitive behavioral therapy can effectively reduce depressive symptoms. Some mental health applications 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 applications without gamification. OBJECTIVE The objective of this study was to determine whether mental health applications with gamification elements differ in their effectiveness to reduce depressive symptoms when compared to those which 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 5,597 articles were identified via five databases. After screening, 39 studies (n= 8,713 participants) remained for data extraction. From these studies, 51 total comparisons between post-intervention mental health application interventions groups and control groups were included in the meta-analysis. RESULTS A random effects model was performed with gamification elements included as a moderator. This moderating variable compared mental health applications with gamification elements (n=25) to those without such elements (n=26). Results indicated a small to moderate effect size across all mental health applications in which the mental health applications intervention effectively reduced depressive symptoms compared to controls (Hedge’s g = -.28; (95% CI: -0.38; -0.18), P<.01). The gamification moderator was not a significant predictor of depressive symptoms (β= -.013, SE=.115, P=.909), demonstrating no significant difference in effectiveness between mental health applications with and without gamification features. CONCLUSIONS Results show that both mental health applications with and without gamification elements are effective in reducing depressive symptoms. There was no significant difference in the effectiveness of mental health applications with gamification elements on depressive symptoms. This research has important clinical implications for understanding how gamification elements influence the effectiveness of mental health applications on depressive symptoms.

2021 ◽  
Vol 12 ◽  
Author(s):  
Fangyi Luo ◽  
Mengfei Ye ◽  
Tingting Lv ◽  
Baiqi Hu ◽  
Jiaqi Chen ◽  
...  

Objective: The aim of this study was to perform a quantitative analysis to evaluate the efficacy of cognitive behavioral therapy (CBT) on mood disorders, sleep, fatigue, and its impact on quality of life (QOL) in Parkinson's Disease (PD).Methods: We searched for randomized controlled trials in three electronic databases. Fourteen studies, including 507 patients with PD, met the inclusion criteria. We determined the pooled efficacy by standard mean differences and 95% confidence intervals, using I2 to reveal heterogeneity.Results: The result showed CBT had a significant effect on depression [−0.93 (95%CI, −1.19 to −0.67, P &lt; 0.001)] and anxiety [−0.76 (95%CI, −0.97 to −0.55, P &lt; 0.001)]. Moderate effect sizes were noted with sleep disorders [−0.45 (95% CI, −0.70 to −0.20, P = 0.0004)]. There was no evident impact of CBT on fatigue or QOL. We found an intervention period &gt;8 weeks was advantageous compared with &lt;8 weeks, and CBT implemented in non-group was more effective than in group. Between the delivery methods, no significant difference was found.Conclusion: We found that CBT in patients with PD was an efficacious therapy for some non-motor symptoms in PD, but not efficacious for fatigue and QOL. These results suggest that CBT results in significant improvement in PD and should be used as a conventional clinical intervention.


Author(s):  
Victor K.-L. Cheung

Post-stroke depression (PSD) is a common psychiatric manifestation of stroke, which has a devastating impact on survivors’ quality of life with an increasing burden on caregivers and the public medical system. Even so, no meta-analysis on specific psychotherapeutic treatment has been conducted. How effective is cognitive behavioral therapy (CBT) in reducing depressive symptoms in randomized-controlled trials (RCTs) targeting community-dwelling stroke survivors with PSD? Through systematic procedures of screening and data extraction, four RCTs were synthesized for meta-analysis (N= 270) on effect size estimates. Overall, CBT groups showed significant improvement in depression compared with controls. Methodological quality, intensity of CBT, and duration of post-treatment follow-up proved critical to treatment effects. Despite the potential threat of external validity, this paper had reviewed their content comprehensively with the implication of facilitating public understanding, research, and service development of PSD using CBT. To fill the knowledge gap, standardized protocol and further subgroup analyses are necessary.


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