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识别基于移动设备的 2 型糖尿病患者自我护理应用程序的特征。

Identifying features of a mobile-based application for self-care of people living with T2DM.

机构信息

Department of Health Information Technology, Khalkhal University of Medical Sciences, Khalkhal, Iran.

Department of Health Information Technology, Zabol University of Medical Sciences, Zabol, Iran.

出版信息

Diabetes Res Clin Pract. 2021 Jan;171:108544. doi: 10.1016/j.diabres.2020.108544. Epub 2020 Nov 21.

Abstract

INTRODUCTION

Diabetes self-care requires support to empower patients to improve self-monitoring and maintain the necessary self-care behaviors. We aimed to identify features of a mobile-based application as a technology-based device for self-care of people living with T2DM.

METHOD

This study was conducted in two main phases in 2020. In the first phase, a literature review study was performed to identify the data elements and technical features of the T2DM self-care application. In the second phase, using the information obtained from the review of similar articles, a questionnaire was designed to validate identified requirements. The statistical population of the present study consisted of 22 endocrinologists and metabolic specialists.

RESULTS

Identification of 55 data elements and technical features for mobile-based self-care application for people with T2DM, and according to the statistical population, 15data elements for demographic requirements, 16 data elements for clinical requirements, and 17 features for the technical capability of this app were selected.

CONCLUSION

Blood sugar monitoring, exercise, nutrition, weight monitoring, and educational capabilities were the most highlighted technical features of the T2DM self-care application. Software designers can use these requirements to design a self-care app for people with type-2 diabetes that can help manage and improve patients' health status.

摘要

简介

糖尿病自我护理需要支持,以增强患者自我监测的能力,并维持必要的自我护理行为。我们旨在确定移动应用程序作为 2 型糖尿病患者自我护理的技术设备的特点。

方法

这项研究在 2020 年分两个主要阶段进行。在第一阶段,进行了文献回顾研究,以确定 2 型糖尿病自我护理应用程序的数据元素和技术特征。在第二阶段,根据从类似文章的综述中获得的信息,设计了一份问卷来验证确定的需求。本研究的统计人群包括 22 名内分泌学家和代谢专家。

结果

确定了 55 个用于移动自我护理应用程序的数据元素和技术特征,用于 2 型糖尿病患者,根据统计人群,选择了 15 个用于人口统计学要求的数据元素,16 个用于临床要求的数据元素,以及 17 个用于该应用程序技术能力的特征。

结论

血糖监测、运动、营养、体重监测和教育功能是 2 型糖尿病自我护理应用程序最突出的技术特点。软件设计人员可以使用这些要求来设计一款针对 2 型糖尿病患者的自我护理应用程序,帮助管理和改善患者的健康状况。

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