Abstract
PURPOSE: This mixed methods study explored older adults’ experience using a bespoke active computer gaming (ACG) system designed to deliver falls prevention exercise. METHODS: Usability, acceptability and safety were evaluated through observation of system use, questionnaires, in-system ratings, and semi-structured interviews. Quantitative and qualitative data were synthesised concurrently to provide a deeper understanding of older adults’ experience with the system. RESULTS: N = 7 older adults (aged 73–88 years, most with increased fear of falling, and over half with reduced physical functioning) completed up to six uses of the system. Observations and qualitative feedback suggested that older adults’ experience with the system was influenced by physical health changes associated with ageing. Overall feedback after using the system was positive. Social support, from either the clinician or a peer, was a key theme influencing experience. CONCLUSIONS: Findings suggested that autonomous use of the system may not be feasible given the requirement and preference for social support.
| Original language | English |
|---|---|
| Pages (from-to) | 173-183 |
| Number of pages | 11 |
| Journal | Physiotherapy Practice and Research |
| Volume | 42 |
| Issue number | 2 |
| Early online date | 26 Aug 2021 |
| DOIs | |
| Publication status | Published (in print/issue) - 10 Dec 2021 |
Bibliographical note
Publisher Copyright:© 2021 - IOS Press. All rights reserved.
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
- Balance
- exergaming
- ageing
- falls prevention
Fingerprint
Dive into the research topics of 'Older adults’ experience of active computer gaming for falls prevention exercise: A mixed methods study'. Together they form a unique fingerprint.Student theses
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Upper limb movement modelling for adaptive and personalised physical rehabilitation in virtual reality
Holmes, D. (Author), Charles, D. (Supervisor), McClean, S. (Supervisor) & Morrow, P. (Supervisor), May 2019Student thesis: Doctoral Thesis
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