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The aim of this research is to examine the effect of mobile application game training designed for children aged 8-16 years on asthma management and quality of life. The population of the study will be children in the 8-12 age group who applied to the Mersin Pediatric Allergy, Asthma and Immunology Specialist's clinic, and the sample will consist of 78 children with asthma who meet the criteria for inclusion in the research. This age group has problems in solving abstract problems, it is necessary to embody it in order to facilitate the understanding of the disease process. Therefore, it is important to embody the training given in the increase of self-management related to the disease process of this age group. While determining the sample size of the study, Arıkan-Ayyıldız et al. (2016) based on the scientific study named "Efficacy of asthma education program on asthma control in children with uncontrolled asthma". In the Arıkan-Ayyıldız study, it was reported that the total mean score of "ACT" (Asthma Control Test-Asthma Control Test) was 13.8±3.4 in the experimental group and 15.6±3.2 in the control group. As a result of the Power analysis (G*Power 3.1.9.2) made according to these data; effect size = 0.78, with 95% confidence interval, 95% power, it was calculated that a total of 72 children with asthma, at least 36 in each group, should be included. Considering that there may be dropout and confounders during the research process, the number of groups was increased by 10%. The sample of the research; was a total of 78 children, including 39 children in each intervention group.
In collecting research data; the Child and Parent Information Form, Inhaler Usage Skills Evaluation Form, Asthma Symptom and Treatment Need Scoring, DISABKIDS Asthma Scale will be used. A statistical package program (SPSS 20) will be used in the analysis of the research data. The statistical significance level was determined as 0.05. Kolmogorov-Smirnov will be used in the normality analysis of dependent variables. Chi-square and mean-to-means comparison tests will be used to determine the similarity of the groups. Appropriate parametric or non-parametric tests will be used according to the distribution's normality in comparing the means between groups and within groups.
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74 participants in 2 patient groups
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