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用于糖尿病自我管理的小数据及其可视化:定性研究

Small Data and Its Visualization for Diabetes Self-Management: Qualitative Study.

作者信息

Burford Sally Jane, Park Sora, Dawda Paresh

机构信息

News & Media Research Centre, Faculty of Arts and Design, University of Canberra, Canberra, Australia.

出版信息

JMIR Diabetes. 2019 Aug 13;4(3):e10324. doi: 10.2196/10324.

Abstract

BACKGROUND

As digital healthcare expands to include the use of mobile devices, there are opportunities to integrate these technologies into the self-management of chronic disease. Purpose built apps for diabetes self-management are plentiful and vary in functionality; they offer capability for individuals to record, manage, display, and interpret their own data. The optimal incorporation of mobile tablets into diabetes self-care is little explored in research, and guidelines for use are scant.

OBJECTIVE

The purpose of this study was to examine an individual's use of mobile devices and apps in the self-management of type 2 diabetes to establish the potential and value of this ubiquitous technology for chronic healthcare.

METHODS

In a 9-month intervention, 28 patients at a large multidisciplinary healthcare center were gifted internet connected Apple iPads with preinstalled apps and given digital support to use them. They were invited to take up predefined activities, which included recording their own biometrics, monitoring their diet, and traditional online information seeking. Four online surveys captured the participants' perceptions and health outcomes throughout the study. This article reports on the qualitative analysis of the open-ended responses in all four surveys.

RESULTS

Using apps, participants self-curated small data sets that included their blood glucose level, blood pressure, weight, and dietary intake. The dynamic visualizations of the data in the form of charts and diagrams were created using apps and participants were able to interpret the impact of their choices and behaviors from the diagrammatic form of their small personal data sets. Findings are presented in four themes: (1) recording personal data; (2) modelling and visualizing the data; (3) interpreting the data; and (4) empowering and improving health.

CONCLUSIONS

The modelling capability of apps using small personal data sets, collected and curated by individuals, and the resultant graphical information that can be displayed on tablet screens proves a valuable asset for diabetes self-care. Informed by their own data, individuals are well-positioned to make changes in their daily lives that will improve their health.

摘要

背景

随着数字医疗保健的扩展,将移动设备纳入其中,存在将这些技术整合到慢性病自我管理中的机会。专门为糖尿病自我管理打造的应用程序数量众多,功能各异;它们为个人提供了记录、管理、展示和解读自身数据的能力。在研究中,很少探讨移动平板电脑在糖尿病自我护理中的最佳应用方式,相关使用指南也很匮乏。

目的

本研究旨在考察个人在2型糖尿病自我管理中对移动设备和应用程序的使用情况,以确定这种普及技术在慢性病医疗保健中的潜力和价值。

方法

在为期9个月的干预中,一家大型多学科医疗保健中心的28名患者获赠了预装应用程序且联网的苹果iPad,并得到了使用这些设备的数字支持。他们被邀请参与预先设定的活动,包括记录自己的生物特征数据、监测饮食以及传统的在线信息查询。在整个研究过程中,通过四项在线调查获取了参与者的看法和健康状况。本文报告了对所有四项调查中开放式回答的定性分析结果。

结果

参与者使用应用程序自行整理了包含血糖水平、血压、体重和饮食摄入量的小型数据集。通过应用程序以图表和图形的形式对数据进行动态可视化展示,参与者能够从其个人小型数据集的图表形式中解读自己的选择和行为所产生的影响。研究结果呈现为四个主题:(1)记录个人数据;(2)对数据进行建模和可视化;(3)解读数据;(4)增强健康能力并改善健康状况。

结论

应用程序利用个人收集和整理的小型数据集进行建模的能力,以及在平板电脑屏幕上显示的图形信息证明了其在糖尿病自我护理中的宝贵价值。基于自身数据,个人能够更好地调整日常生活,从而改善健康状况。

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