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Application of Smartphone Technologies in Disease Monitoring: A Systematic Review

机译:智能手机技术在疾病监测中的应用:系统评价

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摘要

Technologies play an essential role in monitoring, managing, and self-management of chronic diseases. Since chronic patients rely on life-long healthcare systems and the current COVID-19 pandemic has placed limits on hospital care, there is a need to explore disease monitoring and management technologies and examine their acceptance by chronic patients. We systematically examined the use of smartphone applications (apps) in chronic disease monitoring and management in databases, namely, Medline, Web of Science, Embase, and Proquest, published from 2010 to 2020. Results showed that app-based weight management programs had a significant effect on healthy eating and physical activity (p = 0.002), eating behaviours (p < 0.001) and dietary intake pattern (p < 0.001), decreased mean body weight (p = 0.008), mean Body Mass Index (BMI) (p = 0.002) and mean waist circumference (p < 0.001). App intervention assisted in decreasing the stress levels (paired t-test = 3.18; p < 0.05). Among cancer patients, we observed a high acceptance of technology (76%) and a moderately positive correlation between non-invasive electronic monitoring data and questionnaire (r = 0.6, p < 0.0001). We found a significant relationship between app use and standard clinical evaluation and high acceptance of the use of apps to monitor the disease. Our findings provide insights into critical issues, including technology acceptance along with regulatory guidelines to be considered when designing, developing, and deploying smartphone solutions targeted for chronic patients.
机译:技术在监测,管理和自我管理的慢性疾病中起重要作用。由于慢性患者依靠终身医疗保健系统和当前的Covid-19大流行为医院护理置于限制,因此需要探索疾病监测和管理技术,并通过慢性患者验收。我们系统地研究了智能手机应用(APPS)在数据库中的慢性病监测和管理中使用,即Medline,Sement,Embase和Proquest网站,从2010年到2020年发布。结果表明,基于应用的体重管理计划有一个对健康饮食和身体活动的显着影响(p = 0.002),吃行为(p <0.001)和膳食进气图案(p <0.001),平均体重(p = 0.008),平均体重指数(BMI)(P = 0.002)和平均腰围(P <0.001)。应用干预辅助降低应力水平(成对T-Test = 3.18; P <0.05)。在癌症患者中,我们观察到对技术的高度接受(76%)和非侵入式电子监测数据和调查问卷(r = 0.6,p <0.0001)之间的适度正相关性。我们在应用程序使用和标准临床评估之间找到了重要的关系,并高接受应用程序来监测疾病。我们的调查结果提供了对关键问题的见解,包括在设计,开发和部署针对慢性患者的智能手机解决方案时考虑的监管准则。

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