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Designing to support prescribed home exercises: understanding the needs of physiotherapy patients

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Published:14 October 2012Publication History

ABSTRACT

Musculoskeletal disorders are a globally significant health problem affecting millions. Physiotherapy, including prescribed exercises performed independently by patients in their homes, is a key treatment for many sufferers. However, many patients fail to complete home exercises, prolonging recovery periods or accelerating decline. Pervasive health technologies, capable of monitoring users in their homes, are ideally suited to address this problem. This paper describes user research with a group of three physiotherapists and eleven current physiotherapy patients to understand the problems and user needs underlying non-compliance with home exercise regimes. The research adopted a speed dating approach and culminated with six insights and design recommendations relating to the form and type of feedback that should be used in such systems, to how scheduling and therapist-patient communication systems should be designed and to the role of privacy.

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    • Published in

      cover image ACM Other conferences
      NordiCHI '12: Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design
      October 2012
      834 pages
      ISBN:9781450314824
      DOI:10.1145/2399016

      Copyright © 2012 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Publication History

      • Published: 14 October 2012

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      NordiCHI '12 Paper Acceptance Rate84of341submissions,25%Overall Acceptance Rate379of1,572submissions,24%

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