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面向为糖尿病和高血压成人患者开发一款语音激活自我监测应用程序(VoiS)

Towards Developing a Voice-activated Self-monitoring Application (VoiS) for Adults with Diabetes and Hypertension.

作者信息

Rabbani Masud, Tian Shiyu, Anik Adib Ahmed, Luo Jake, Park Min Sook, Whittle Jeff, Ahamed Sheikh Iqbal, Oh Hyunkyoung

机构信息

Ubicomp Lab, Department of Computer Science, Marquette University, Milwaukee, WI, USA.

College of Health Sciences, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin, USA.

出版信息

Proc COMPSAC. 2022 Jun-Jul;2022:512-519. doi: 10.1109/compsac54236.2022.00095. Epub 2022 Aug 10.

DOI:10.1109/compsac54236.2022.00095
PMID:36594906
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9805835/
Abstract

The integration of motivational strategies and self-management theory with mHealth tools is a promising approach to changing the behavior of patients with chronic disease. In this manuscript, we describe the development and current architecture of a prototype voice-activated self-monitoring application (VoiS) which is based on these theories. Unlike prior mHealth applications which require textual input, VoiS app relies on the more convenient and adaptable approach of asking users to verbally input markers of diabetes and hypertension control through a smart speaker. The VoiS app can provide real-time feedback based on these markers; thus, it has the potential to serve as a remote, regular, source of feedback to support behavior change. To enhance the usability and acceptability of the VoiS application, we will ask a diverse group of patients to use it in real-world settings and provide feedback on their experience. We will use this feedback to optimize tool performance, so that it can provide patients with an improved understanding of their chronic conditions. The VoiS app can also facilitate remote sharing of chronic disease control with healthcare providers, which can improve clinical efficacy and reduce the urgency and frequency of clinical care encounters. Because the VoiS app will be configured for use with multiple platforms, it will be more robust than existing systems with respect to user accessibility and acceptability.

摘要

将激励策略和自我管理理论与移动健康工具相结合,是改变慢性病患者行为的一种很有前景的方法。在本手稿中,我们描述了一个基于这些理论的语音激活自我监测应用程序(VoiS)原型的开发和当前架构。与之前需要文本输入的移动健康应用程序不同,VoiS应用程序依靠更便捷、适应性更强的方法,即要求用户通过智能扬声器口头输入糖尿病和高血压控制指标。VoiS应用程序可以根据这些指标提供实时反馈;因此,它有潜力成为支持行为改变的远程、定期反馈来源。为了提高VoiS应用程序的可用性和可接受性,我们将邀请不同类型的患者在现实环境中使用它,并就他们的体验提供反馈。我们将利用这些反馈来优化工具性能,以便它能让患者更好地了解自己的慢性病状况。VoiS应用程序还可以促进与医疗服务提供者远程共享慢性病控制情况,这可以提高临床疗效,减少临床护理问诊的紧迫性和频率。由于VoiS应用程序将配置为可与多个平台一起使用,在用户可及性和可接受性方面,它将比现有系统更强大。

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