探索帕金森病患者自我追踪症状和药物治疗的策略

IF 2.5 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS ACM Transactions on Accessible Computing Pub Date : 2024-02-27 DOI:10.1145/3649454
Charlotte Tang, Imrul K. Shuva, Matthew Thelen, Linda Zhu, Nathaniel S. Miller
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引用次数: 0

摘要

自我跟踪在帮助慢性病患者控制病情方面具有巨大潜力。帕金森病(PD)是一种常见的神经退行性疾病,影响着全球数百万人。帕金森病的运动和非运动症状多种多样,每个帕金森病患者都有自己独特的症状,因此需要对帕金森病患者进行独特的干预。自我跟踪可以记录患者的经历和对干预措施的反应,从而帮助治疗帕金森病。我们对 26 名帕金森氏症患者(PwPD)、6 名护理人员(CGs)和 3 名医疗保健提供者(HPs)进行了半结构式访谈,以更好地了解他们在自我跟踪策略和挑战方面的经验。我们确定了五种追踪策略:心理追踪、模拟追踪、使用通用技术追踪、专业技术追踪和代理追踪。我们还发现了在自我追踪过程中遇到的挑战,如症状并不总是很明显或很容易描述、追踪不准确、所追踪的数据缺乏有用性、与技术的交互障碍以及缺乏适当的追踪工具。我们的研究结果为现有文献做出了贡献,并为指导针对帕金森病的自我跟踪工具的包容性设计提供了启示。
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Exploring the Strategies People with Parkinson's Disease Use to Self-track Symptoms and Medications
Self-tracking has great potential in empowering individuals with a chronic illness in managing their condition. Parkinson's Disease (PD) is a common neurodegenerative disease that affects millions of people worldwide. PD presents a broad range of motor and non-motor symptoms that are unique to each person with PD, thus requiring unique intervention needs for people with PD. Self-tracking can aid treatment for people with PD, by recording their experiences and responses to intervention. We conducted semi-structured interviews with 26 people with PD (PwPD), 6 caregivers (CGs), and 3 healthcare providers (HPs) to acquire a better understanding of their experiences with the strategies and challenges of self-tracking. Five tracking strategies were identified: mental tracking, analog tracking, tracking with general-purpose technology, specialized technology tracking, and tracking by proxy. We also uncovered challenges experienced during self-tracking, such as symptoms not always distinctive or easy to describe, inaccuracy of tracking, lack of perceived usefulness of tracked data, interaction barriers with technology, and lack of proper tracking tools. Our findings contribute to existing literature and yield insights to guide the inclusive design of self-tracking tools for PD.
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来源期刊
ACM Transactions on Accessible Computing
ACM Transactions on Accessible Computing COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
6.20
自引率
8.30%
发文量
43
期刊介绍: Computer and information technologies have re-designed the way modern society operates. Their widespread use poses both opportunities and challenges for people who experience various disabilities including age-related disabilities. That is, while there are new avenues to assist individuals with disabilities and provide tools and resources to alleviate the traditional barriers encountered by these individuals, in many cases the technology itself presents barriers to use. ACM Transactions on Accessible Computing (TACCESS) is a quarterly peer-reviewed journal that publishes refereed articles addressing issues of computing that seek to address barriers to access, either creating new solutions or providing for the more inclusive design of technology to provide access for individuals with diverse abilities. The journal provides a technical forum for disseminating innovative research that covers either applications of computing and information technologies to provide assistive systems or inclusive technologies for individuals with disabilities. Some examples are web accessibility for those with visual impairments and blindness as well as web search explorations for those with limited cognitive abilities, technologies to address stroke rehabilitation or dementia care, language support systems deaf signers or those with limited language abilities, and input systems for individuals with limited ability to control traditional mouse and keyboard systems. The journal is of particular interest to SIGACCESS members and delegates to its affiliated conference (i.e., ASSETS) as well as other international accessibility conferences. It serves as a forum for discussions and information exchange between researchers, clinicians, and educators; including rehabilitation personnel who administer assistive technologies; and policy makers concerned with equitable access to information technologies.
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