• DocumentCode
    3706430
  • Title

    Roles for Personal Informatics in chronic pain

  • Author

    Sergio Felipe;Aneesha Singh;Caroline Bradley;Amanda CdeC Williams;Nadia Bianchi-Berthouze

  • Author_Institution
    UCLIC, University College London, UK
  • fYear
    2015
  • fDate
    5/1/2015 12:00:00 AM
  • Firstpage
    161
  • Lastpage
    168
  • Abstract
    Self-management of chronic pain is a complex and demanding activity. Multidisciplinary pain management programs are designed to provide patients with the skills to improve, maintain functioning and self-manage their pain but gains diminish in the long-term due to lack of support from clinicians. Sensing technology can be a cost-effective way to extend support for self-management outside clinical settings but they are currently under-explored. In this paper, we report studies carried out to investigate how Personal Informatics Systems (PIS) based on wearable body sensing technology could facilitate pain self-management and functioning. Five roles for PIS emerged from a qualitative study with people with chronic pain and physiotherapists: (i) assessment, planning and prevention (ii) a direct supervisory and co-management role, (iii) facilitating deeper understanding, (iv) managing emotional states, and (v) sharing for social acceptability. A web-based survey was conducted to understand the parameters that should be tracked to support self-management and what tracked information should be shared with others. Finally, we suggest an extension to previous PIS models and propose design implications to address immediate, short-term and long-term information needs for personal use of people with chronic pain and for sharing with others.
  • Keywords
    "Pain","Sensors","Psychology","Interviews","Informatics","Monitoring","Data visualization"
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2015 9th International Conference on
  • Print_ISBN
    978-1-63190-045-7
  • Electronic_ISBN
    2153-1641
  • Type

    conf

  • DOI
    10.4108/icst.pervasivehealth.2015.259501
  • Filename
    7349393