Effective intervention or child's play? A review of video games for diabetes education.
ABSTRACT The purpose of this study is (1) to identify diabetes education video games and pilot studies in the literature, (2) to review themes in diabetes video game design and evaluation, and (3) to evaluate the potential role of educational video games in diabetes self-management education.
Studies were systematically identified for inclusion from Medline, Web of Science, CINAHL, EMBASE, Psychinfo, IEEE Xplore, and ACM Digital Library. Features of each video game intervention were reviewed and coded based on an existing taxonomy of diabetes interventions framework.
Nine studies featuring 11 video games for diabetes care were identified. Video games for diabetes have typically targeted children with type 1 diabetes mellitus and used situation problem-solving methods to teach diet, exercise, self-monitored blood glucose, and medication adherence. Evaluations have shown positive outcomes in knowledge, disease management adherence, and clinical outcomes.
Video games for diabetes education show potential as effective educational interventions. Yet we found that improvements are needed in expanding the target audience, tailoring the intervention, and using theoretical frameworks. In the future, the reach and effectiveness of educational video games for diabetes education could be improved by expanding the target audience beyond juvenile type 1 diabetes mellitus, the use of tailoring, and increased use of theoretical frameworks.
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ABSTRACT: Current diabetes education methods are costly, time-consuming, and do not actively engage the patient. Here, we describe the development and verification of the physiological model for healthy subjects that forms the basis of the Eindhoven Diabetes Education Simulator (E-DES). E-DES shall provide diabetes patients with an individualized virtual practice environment incorporating the main factors that influence glycemic control: food, exercise, and medication. The physiological model consists of 4 compartments for which the inflow and outflow of glucose and insulin are calculated using 6 nonlinear coupled differential equations and 14 parameters. These parameters are estimated on 12 sets of oral glucose tolerance test (OGTT) data (226 healthy subjects) obtained from literature. The resulting parameter set is verified on 8 separate literature OGTT data sets (229 subjects). The model is considered verified if 95% of the glucose data points lie within an acceptance range of ±20% of the corresponding model value. All glucose data points of the verification data sets lie within the predefined acceptance range. Physiological processes represented in the model include insulin resistance and β-cell function. Adjusting the corresponding parameters allows to describe heterogeneity in the data and shows the capabilities of this model for individualization. We have verified the physiological model of the E-DES for healthy subjects. Heterogeneity of the data has successfully been modeled by adjusting the 4 parameters describing insulin resistance and β-cell function. Our model will form the basis of a simulator providing individualized education on glucose control. © 2014 Diabetes Technology Society.Journal of diabetes science and technology 12/2014;
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