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Mobile-Based Self-Monitoring for Preventing Patients with Type 2 Diabetes Mellitus and Hypertension from Cardiovascular Complication
Wireless Personal Communications ( IF 1.9 ) Pub Date : 2020-05-06 , DOI: 10.1007/s11277-020-07440-w
Napa Rachata , Punnarumol Temdee

Currently, there is less attention to the prevention of patients with type 2 diabetes mellitus and hypertension from cardiovascular complication, although it is the significant cause of death for these patients worldwide. To be prevented from this complication, these patients should develop their self-monitoring skills along with their healthcare journey. Consequently, this paper aims to provide an efficient mobile-based self-monitoring that can encourage patients with type 2 diabetes mellitus and hypertension to improve their health status. The distinctive point of the proposed mobile application is the trend progression module for demonstrating the progression of four health statuses for the patients. This trend progression is modeled with a fuzzy logic-based method. The rules are generated based on clinical data, lifestyle data, and experience of healthcare professionals. There are eleven healthcare professionals involved in this paper. The experiment with one hundred twenty-one patients shows that the proposed mobile application provides 92% trend progression accuracy compared with healthcare professionals’ decisions. The developed mobile application obtains the function satisfaction and performance satisfaction in the “strongly satisfied” level. Besides, the developed mobile application can encourage 85% of patients to improve their health statuses. It can be seen that this paper is a new aspect of encouraging patients to concern more about the improvement of their health statuses anywhere and anytime.



中文翻译:

基于移动设备的自我监测可预防2型糖尿病和高血压患者的心血管并发症

目前,尽管它是全世界这些患者的重要死亡原因,但对预防2型糖尿病和高血压患者的心血管并发症的关注却很少。为了避免这种并发症,这些患者应在医疗过程中发展自我监控技能。因此,本文旨在提供一种有效的基于移动设备的自我监控,可以鼓励2型糖尿病和高血压患者改善其健康状况。所提出的移动应用程序的独特之处在于趋势进度模块,用于为患者演示四种健康状态的进度。使用基于模糊逻辑的方法对趋势趋势进行建模。这些规则是根据临床数据,生活方式数据,和医护人员的经验。本文涉及11名医疗保健专业人员。与121位患者进行的实验表明,与医疗保健专业人员的决定相比,所提出的移动应用程序提供了92%的趋势进展准确性。开发的移动应用程序在“强烈满意”级别获得功能满意和性能满意。此外,开发的移动应用程序可以鼓励85%的患者改善健康状况。可以看出,本文是鼓励患者随时随地关注健康状况改善的一个新方面。与121名患者进行的实验表明,与医疗保健专业人员的决定相比,所提出的移动应用程序提供了92%的趋势进展准确性。开发的移动应用程序在“强烈满意”级别获得功能满意和性能满意。此外,开发的移动应用程序可以鼓励85%的患者改善健康状况。可以看出,本文是鼓励患者随时随地关注其健康状况改善的一个新方面。与121名患者进行的实验表明,与医疗保健专业人员的决定相比,所提出的移动应用程序提供了92%的趋势进展准确性。开发的移动应用程序在“强烈满意”级别获得功能满意和性能满意。此外,开发的移动应用程序可以鼓励85%的患者改善其健康状况。可以看出,本文是鼓励患者随时随地关注其健康状况改善的一个新方面。开发的移动应用程序可以鼓励85%的患者改善健康状况。可以看出,本文是鼓励患者随时随地关注其健康状况改善的一个新方面。开发的移动应用程序可以鼓励85%的患者改善健康状况。可以看出,本文是鼓励患者随时随地关注其健康状况改善的一个新方面。

更新日期:2020-05-06
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