Abstract
Cognitive impairment is associated with increased risk of disability, increased health care costs and potential progression to dementia. An emerging approach to counteract the impact of cognitive impairment is to empower patients with the appropriate tools to effectively manage their own condition. In this work we evaluate the use of KeepWell, a self-management smartphone application developed to assist people with early cognitive impairment to live independently. KeepWell provides services such as reminders, surveys, and educational information that allows users to set physical goals and monitor their physical performance. Participants involved in the evaluation of adoption and usability consisted of individuals diagnosed with early cognitive impairment. A qualitative and quantitative analysis was conducted with 5 and 2 such individuals respectively. Data was codified using grounded theory and affinity diagramming. The findings from the work have resulted in the development of a set of recommendations for the design of self-management mobile applications.
| Original language | English |
|---|---|
| Title of host publication | 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019 |
| Place of Publication | Kyoto, Japan |
| Publisher | IEEE Xplore |
| Pages | 535-540 |
| Number of pages | 6 |
| ISBN (Electronic) | 978-1-5386-9151-9 |
| ISBN (Print) | 978-1-5386-9150-2 |
| DOIs | |
| Publication status | Published (in print/issue) - 6 Jun 2019 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- KeepWell
- cognitive impairment
- evaluation
- self-management
Fingerprint
Dive into the research topics of 'Preliminary evaluation of a self-management health app by people with cognitive impairment'. Together they form a unique fingerprint.Student theses
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Improvement of transfer learning techniques in activity recognition
Hernandez-Cruz, N. (Author), Zhang, S. (Supervisor), Nugent, C. (Supervisor) & Mc Chesney, I. (Supervisor), Feb 2021Student thesis: Doctoral Thesis
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