The effect of an mHealth intervention for adolescents with Type 1 diabetes and their parents

概化理论 健康 心理干预 医学 干预(咨询) 生活质量(医疗保健) 随机对照试验 自我管理 重复措施设计 临床心理学 家庭医学 老年学 心理学 护理部 发展心理学 统计 外科 数学 机器学习 计算机科学
作者
Bree Holtz,Katharine M. Mitchell,Amanda J. Holmstrom,Denise Soltow Hershey,Shelia R. Cotten,Julie K Dunneback,Deborah A. Ellis,Michael A. Wood
出处
期刊:Journal of Telemedicine and Telecare [SAGE Publishing]
卷期号:30 (7): 1155-1162 被引量:16
标识
DOI:10.1177/1357633x221125835
摘要

Background Past research has demonstrated that adolescents with Type 1 diabetes (T1D) typically have a decline in health outcomes as they begin to assume more self-management activities. Mobile app interventions have been suggested as one possible way to improve this behavior. Purpose The primary aim of this study was to address declines in health outcomes by pilot testing the satisfaction, use and feasibility of an app-based family communication intervention aimed to assist in adolescent self-management of T1D. Methods Thirty-three adolescent–parent pairs were enrolled in and completed the 12-week pilot study. Participants were randomized 2:1 to intervention (app use) or control group. Pre/post quantitative and qualitative data were collected, including HbA1c and surveys. Paired-sample t-tests and ANOVA statistics were conducted. Results The parents and adolescents reported high satisfaction with the app, and that it was easy to use. Results showed HbA1c stability in the intervention group and significant worsening in the control group. There were also significant improvements in adherence to diabetes management and quality of life for the parents in the intervention group. The adolescents did not show any improvement in quality-of-life measures. Conclusion This study suggests that the app intervention is acceptable, shows promise for improving health outcomes for adolescents with T1D, and may improve family communication. The public health implications of this work are that app interventions have a potential role in positively influencing chronic disease outcomes. Additional research with a more extensive and diverse sample is needed to determine generalizability.
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