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Effectiveness of Game-Based Self-Management Interventions for Individuals with Diabetes: A Systematic Review and
Chyi Wey Claudine Shiau1, Shi Min Lim2, Ling Jie Cheng3
1Department of Nursing, Tan Tock Seng Hospital, National Healthcare Group, Singapore.
Abstract:
Self-management is essential for individuals with diabetes. However, traditional self-management interventions may be hard to follow for other patients. Although games can stimulate extrinsic motivations, its application on self-management remains unclear. This review aims to evaluate the effects of game-based self-management interventions on health outcomes. We utilize PubMed, CINAHL, Cochrane Central, EMBASE, ProQuest Dissertation and Theses, PsycINFO, and Scopus from their inception until January 20, 2020. Meta-analyses are performed using Comprehensive Meta-analysis 3.0 software. The overall effect is measured using Hedges' g and determined using Z-statistics at significance level of P < 0.05. Heterogeneity is assessed using χ and I2 statistics. The risk of bias tool and the grades of recommendation, assessment, development, and evaluation system are used to assess individual and overall quality of evidence, respectively. A total of 2150 records are identified, and 13 randomized controlled trials are selected. Meta-analyses revealed that game-based self-management interventions significantly improved patients' change in glycated hemoglobin (HbA1c) level (g = 0.18, P = 0.02), adherence to physical activities (g = 0.59, P < 0.001), balance (g = 0.94-1.14, P < 0.001), and fall efficacy (g = 1.01, P < 0.001). Significant results were only found for the three-trial meta-analysis for HbA1c changes, but not for the two other HbA1c meta-analyses that included more trials. Furthermore, negligible improvements were observed in glycated hemoglobin at postintervention and follow-up assessments, diabetes knowledge, and self-efficacy. Game-based self-management can consider a supplementary intervention. Overall evidence is ranging from very low to low. Future studies can consider a large sample size with high-quality design according to the Consolidated Standards of Reporting Trials statement criteria.
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