Exploring the Strategies People with Parkinson's Disease Use to Self-track Symptoms and Medications

1Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.
Get full text

Abstract

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), six caregivers (CGs), and three 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.

References Powered by Scopus

Epidemiology of Parkinson's disease

3313Citations
N/AReaders
Get full text

Projected number of people with Parkinson disease in the most populous nations, 2005 through 2030

1987Citations
N/AReaders
Get full text

Characterising and justifying sample size sufficiency in interview-based studies: Systematic analysis of qualitative health research over a 15-year period

1688Citations
N/AReaders
Get full text

Cited by Powered by Scopus

“It's Beter to be Grounded in Reality”: a Speculative Exploration of Patient-Centered Digital Phenotyping for Neurological Conditions

1Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Tang, C., Shuva, I. K., Thelen, M., Zhu, L., & Miller, N. S. (2024). Exploring the Strategies People with Parkinson’s Disease Use to Self-track Symptoms and Medications. ACM Transactions on Accessible Computing, 17(1). https://doi.org/10.1145/3649454

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 2

67%

Lecturer / Post doc 1

33%

Readers' Discipline

Tooltip

Design 1

33%

Computer Science 1

33%

Arts and Humanities 1

33%

Save time finding and organizing research with Mendeley

Sign up for free