Vafeiadou, Jenny and Vasalou, A. and Roussos, George (2021) Self-tracking in Parkinson's: the lived efforts of self-management. Proceedings of the ACM on Human-Computer Interaction 5 (CSCW1), pp. 1-25. ISSN 2573-0142.
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Abstract
People living with Parkinson's disease engage in self-tracking as part of their health self-management. Whilst health technologies designed for this group have primarily focused on improving the clinical assessments of the disease, less attention has been given to how people with Parkinson's use technology to track and manage their disease in their everyday experience. We report on a qualitative study in which we systematically analysed posts from an online health community (OHC) comprising people with Parkinson's (PwP). Our findings show that PwP track a diversity of information and use a wide range of digital and non-digital tools, informed by temporal and structured practices. Using an existing framework of sensemaking for chronic disease self-management, we also identify new ways in which PwP engage in sensemaking, alongside a set of new challenges that are particular to the character of this chronic disease. We relate our findings to technologies for self-tracking offering design implications.
Metadata
| Item Type: | Article |
|---|---|
| Additional Information: | © ACM, 2021. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published at the link above. |
| Keyword(s) / Subject(s): | self-tracking, self-management, parkinson's disease, sensemaking |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Depositing User: | George Roussos |
| Date Deposited: | 21 Dec 2021 14:38 |
| Last Modified: | 09 Aug 2023 12:52 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/47084 |
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