University Library
  • Login
A gateway to Melbourne's research publications
Minerva Access is the University's Institutional Repository. It aims to collect, preserve, and showcase the intellectual output of staff and students of the University of Melbourne for a global audience.
View Item 
  • Minerva Access
  • Engineering
  • Computing and Information Systems
  • Computing and Information Systems - Research Publications
  • View Item
  • Minerva Access
  • Engineering
  • Computing and Information Systems
  • Computing and Information Systems - Research Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

    How Therapists Use Visualizations of Upper Limb Movement Information From Stroke Patients: A Qualitative Study With Simulated Information.

    Thumbnail
    Download
    published version (1.575Mb)

    Citations
    Altmetric
    Author
    Ploderer, B; Fong, J; Klaic, M; Nair, S; Vetere, F; Cofré Lizama, LE; Galea, MP
    Date
    2016-10-05
    Source Title
    JMIR Rehabilitation and Assistive Technologies
    Publisher
    JMIR Publications Inc.
    University of Melbourne Author/s
    Vetere, Frank; Galea, Mary; Fong, Justin; Ploderer, Bernd; Cofre Lizama, Luis Eduardo; Nair, Siddharth; Fong, Justin
    Affiliation
    Computing and Information Systems
    Medicine and Radiology
    Mechanical Engineering
    Metadata
    Show full item record
    Document Type
    Journal Article
    Citations
    Ploderer, B., Fong, J., Klaic, M., Nair, S., Vetere, F., Cofré Lizama, L. E. & Galea, M. P. (2016). How Therapists Use Visualizations of Upper Limb Movement Information From Stroke Patients: A Qualitative Study With Simulated Information.. JMIR Rehabil Assist Technol, 3 (2), pp.e9-. https://doi.org/10.2196/rehab.6182.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/256725
    DOI
    10.2196/rehab.6182
    Open Access at PMC
    http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5454558
    Abstract
    BACKGROUND: Stroke is a leading cause of disability worldwide, with upper limb deficits affecting an estimated 30% to 60% of survivors. The effectiveness of upper limb rehabilitation relies on numerous factors, particularly patient compliance to home programs and exercises set by therapists. However, therapists lack objective information about their patients' adherence to rehabilitation exercises as well as other uses of the affected arm and hand in everyday life outside the clinic. We developed a system that consists of wearable sensor technology to monitor a patient's arm movement and a Web-based dashboard to visualize this information for therapists. OBJECTIVE: The aim of our study was to evaluate how therapists use upper limb movement information visualized on a dashboard to support the rehabilitation process. METHODS: An interactive dashboard prototype with simulated movement information was created and evaluated through a user-centered design process with therapists (N=8) at a rehabilitation clinic. Data were collected through observations of therapists interacting with an interactive dashboard prototype, think-aloud data, and interviews. Data were analyzed qualitatively through thematic analysis. RESULTS: Therapists use visualizations of upper limb information in the following ways: (1) to obtain objective data of patients' activity levels, exercise, and neglect outside the clinic, (2) to engage patients in the rehabilitation process through education, motivation, and discussion of experiences with activities of daily living, and (3) to engage with other clinicians and researchers based on objective data. A major limitation is the lack of contextual data, which is needed by therapists to discern how movement data visualized on the dashboard relate to activities of daily living. CONCLUSIONS: Upper limb information captured through wearable devices provides novel insights for therapists and helps to engage patients and other clinicians in therapy. Consideration needs to be given to the collection and visualization of contextual information to provide meaningful insights into patient engagement in activities of daily living. These findings open the door for further work to develop a fully functioning system and to trial it with patients and clinicians during therapy.

    Export Reference in RIS Format     

    Endnote

    • Click on "Export Reference in RIS Format" and choose "open with... Endnote".

    Refworks

    • Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References


    Collections
    • Minerva Elements Records [45689]
    • Mechanical Engineering - Research Publications [366]
    • Medicine and Radiology - Research Publications [2346]
    • Computing and Information Systems - Research Publications [1454]
    Minerva AccessDepositing Your Work (for University of Melbourne Staff and Students)NewsFAQs

    BrowseCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
    My AccountLoginRegister
    StatisticsMost Popular ItemsStatistics by CountryMost Popular Authors