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Older adults’ experiences with mHealth for fall prevention exercise: usability and promotion of behavior change strategies
Dalarna University, School of Health and Welfare, Medical Science.
2021 (English)In: Physiotherapy Theory and Practice, ISSN 0959-3985, E-ISSN 1532-5040, Vol. 37, no 12, p. 1346-1352Article in journal (Refereed) Published
Abstract [en]

Background: With the rapidly growing aging population, older adults need to stay healthy and active for a longer time. Mobile health (mHealth) solutions could help support, prevent, or delay functional decline and falls in old age.Purpose: The aim was to explore older persons? experiences of a mobile application for fall prevention exercise, and to identify what possible behavior change techniques to include in the further development of the application.Methods: Two focus groups were conducted with 12 older adults (seven women and five men) 70 to 83 years of age. A qualitative content analysis was performed.Results: Two main results emerged: 1) external facilitators for using the application; and 2) internal facilitators for using the application and perceived gains, in addition 10 behavior change techniques were identified.Conclusion: With support, an application could be adapted for older adults to manage, motivate, and adhere to fall prevention exercise. To achieve long-term adherence to health behavior changes, behavior change strategies and techniques are recommended to be included in further development of the fallprevention application.

Place, publisher, year, edition, pages
2021. Vol. 37, no 12, p. 1346-1352
National Category
Health Sciences
Identifiers
URN: urn:nbn:se:du-31603DOI: 10.1080/09593985.2020.1712753ISI: 000506119700001PubMedID: 31910707Scopus ID: 2-s2.0-85077985390OAI: oai:DiVA.org:du-31603DiVA, id: diva2:1384233
Available from: 2020-01-09 Created: 2020-01-09 Last updated: 2022-11-17Bibliographically approved

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Arkkukangas, MarinaTonkonogi, Michail

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CiteExportLink to record
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  • apa
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  • chicago-note-bibliography
  • Other style
More styles
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  • de-DE
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  • nn-NB
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More languages
Output format
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