Barriers and enablers for older adults participating in a home-based pragmatic exercise program delivered and monitored by Amazon Alexa: a qualitative study Jansons, Paul, Fyfe, Jackson, Via, JD, Daly, Robin, Gvozdenko, E and Scott, David 2022, Barriers and enablers for older adults participating in a home-based pragmatic exercise program delivered and monitored by Amazon Alexa: a qualitative study, BMC Geriatrics, vol. 22, no. 1, pp. 1-10, doi: 10.1186/s12877-022-02963-2. Attached Files Name Description MIMEType Size Downloads Title Barriers and enablers for older adults participating in a home-based pragmatic exercise program delivered and monitored by Amazon Alexa: a qualitative study Author(s) Jansons, Paul orcid.org/0000-0002-8766-0516 Fyfe, Jackson orcid.org/0000-0002-9541-2336 Via, JD Daly, Robin orcid.org/0000-0002-9897-1598 Gvozdenko, E Scott, David orcid.org/0000-0001-5226-1972 Journal name BMC Geriatrics Volume number 22 Issue number 1 Article ID ARTN 248 Start page 1 End page 10 Total pages 10 Publisher BioMed Central Place of publication London, Eng. Publication date 2022 ISSN 1471-2318 1471-2318 Keyword(s) Geriatrics & Gerontology Gerontology HEALTH-CARE Life Sciences & Biomedicine Science & Technology TELEREHABILITATION Summary Abstract Background The remote delivery and monitoring of individually-tailored exercise programs using voice-controlled intelligent personal assistants (VIPAs) that support conversation-based interactions may be an acceptable alternative model of digital health delivery for older adults. The aim of this study was to evaluate the enablers and barriers for older adults participating in a home-based exercise program delivered and monitored by VIPAs. Method This qualitative study used videoconferencing to conduct semi-structured interviews following a 12-week, prospective single-arm pilot study in 15 adults aged 60 to 89 years living alone in the community. All participants were prescribed an individualized, brief (10 min, 2–4 times per day), home-based muscle strengthening and balance exercise program delivered and monitored using an Amazon Echo Show 5 device (Alexa). Qualitative interview data were analysed using inductive thematic analysis. Results All 15 participants (aged 70.3 ± 4.3 years, mean ± SD) attended the semi-structured interview. Themes including enjoyability and ease of use, social engagement and motivation were enablers for participation in the exercise program. Errors in voice recognition, lack of feedback, and preference for other existing digital health modes of exercise delivery were barriers associated with the Alexa technology. Conclusions This qualitative study identified enablers and barriers associated with using an Alexa device to deliver and monitor an individualized, home-based exercise program in older adults living alone. Future interventions using VIPAs should focus on reducing technical errors, providing regular exercise feedback, and comparing participants’ experiences of exercise programs delivered by VIPAs to programs delivered via other digital health tools. Language eng DOI 10.1186/s12877-022-02963-2 Indigenous content off Field of Research 1103 Clinical Sciences 1106 Human Movement and Sports Sciences HERDC Research category C1 Refereed article in a scholarly journal Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30165853 Document type: Journal Article Collections: Faculty of Health School of Exercise and Nutrition Sciences Open Access Collection Related Links Link Description Link to full-text (open access)   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Wed, 30 Mar 2022, 08:29:17 EST Wed, 30 Mar 2022, 14:51:10 EST Wed, 30 Mar 2022, 14:56:55 EST Thu, 28 Apr 2022, 06:03:12 EST Mon, 02 May 2022, 09:01:44 EST Mon, 02 May 2022, 13:55:58 EST Mon, 02 May 2022, 14:05:19 EST Mon, 02 May 2022, 14:10:27 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 7 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Wed, 30 Mar 2022, 08:29:17 EST