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extended-abstract

User needs in the performance of prescribed home exercise therapy

Published: 05 May 2012 Publication 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 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 user research adopted a speed dating approach and culminated with recommendations relating to the design of feedback, scheduling systems and privacy.

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  • (2019)(How) Can an App Support Physiotherapy for Frozen Shoulder Patients?Human-Computer Interaction – INTERACT 201910.1007/978-3-030-29381-9_11(163-183)Online publication date: 2-Sep-2019
  • (2017)Mobile Phone–Supported Physiotherapy for Frozen Shoulder: Feasibility Assessment Based on a Usability StudyJMIR Rehabilitation and Assistive Technologies10.2196/rehab.70854:2(e6)Online publication date: 20-Jul-2017
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  1. User needs in the performance of prescribed home exercise therapy

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    cover image ACM Conferences
    CHI EA '12: CHI '12 Extended Abstracts on Human Factors in Computing Systems
    May 2012
    2864 pages
    ISBN:9781450310161
    DOI:10.1145/2212776

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 05 May 2012

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    Author Tags

    1. biofeedback
    2. design
    3. emg
    4. health
    5. physiotherapy

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    View all
    • (2021)Towards Supporting Data-Driven Practices in Stroke Telerehabilitation TechnologyProceedings of the ACM on Human-Computer Interaction10.1145/34490995:CSCW1(1-33)Online publication date: 22-Apr-2021
    • (2019)(How) Can an App Support Physiotherapy for Frozen Shoulder Patients?Human-Computer Interaction – INTERACT 201910.1007/978-3-030-29381-9_11(163-183)Online publication date: 2-Sep-2019
    • (2017)Mobile Phone–Supported Physiotherapy for Frozen Shoulder: Feasibility Assessment Based on a Usability StudyJMIR Rehabilitation and Assistive Technologies10.2196/rehab.70854:2(e6)Online publication date: 20-Jul-2017
    • (2017)An interactive 3D health app with multimodal information representation for frozen shoulderProceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services10.1145/3098279.3098562(1-11)Online publication date: 4-Sep-2017
    • (2015)A Context-Aware Application to Increase Elderly Users Compliance with Physical Rehabilitation Exercises at Home via Animatronic BiofeedbackJournal of Medical Systems10.1007/s10916-015-0296-139:11(1-11)Online publication date: 1-Nov-2015
    • (2014)Magic Mirror for Neurorehabilitation of People with Upper Limb Dysfunction Using KinectProceedings of the 2014 47th Hawaii International Conference on System Sciences10.1109/HICSS.2014.329(2607-2615)Online publication date: 6-Jan-2014

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