Franklin Rachel H, Waite Marion, Martin Clare
NIHR Oxford Biomedical Research Centre, Clinical Research Unit, Churchill Hospital University of Oxford Oxford UK.
Faculty of Health and Life Sciences Oxford Brookes University Oxford UK.
Nurs Open. 2019 Apr 14;6(3):1013-1021. doi: 10.1002/nop2.282. eCollection 2019 Jul.
(a) To explore how mobile technology can support self-management in adults with type 1 diabetes (T1DM). (b) To inform a usability study in the design of a mobile application to facilitate self-management of T1DM.
Qualitative exploratory design.
Semi-structured interviews were undertaken with adults with T1DM ( = 8). The data collected were analysed using a thematic analysis approach.
Mobile technology has the potential to support adults in their self-management of T1DM through facilitating their decision-making, saving time and enabling them to easily share their data with their healthcare professional. Participants identified four main visualization characteristics for technology to aid in decision-making; relationships between inputs, trends, graphs and colours, and identified essential features such as ease of use, convenience and connectivity.
(a) 探讨移动技术如何支持1型糖尿病(T1DM)成人患者的自我管理。(b) 为一项可用性研究提供信息,以设计一款移动应用程序来促进T1DM的自我管理。
定性探索性设计。
对8名T1DM成人患者进行了半结构化访谈。使用主题分析方法对收集到的数据进行分析。
移动技术有潜力通过促进决策、节省时间以及使患者能够轻松地与医疗保健专业人员共享数据,来支持T1DM成人患者的自我管理。参与者确定了技术辅助决策的四个主要可视化特征;输入、趋势、图表和颜色之间的关系,并确定了诸如易用性、便利性和连接性等基本特征。