Design of mobile, personalised healthcare information systems facilitate a paradigm shift in management of chronic conditions. They provide an infrastructure for creating personalised treatment plans that are evidence based. This is especially important in chronic pain, which is a long-term condition and requires self-management by the patient. In this paper, we use a mobile accessible, web based system to collect daily reports on chronic low back pain. Based on this data a pain trajectory is generated to provide a report for patients to track their pain. We present an empirical study exploring the experiences of the participants, the usability, and issues that encompass frequent data collection using such systems in chronic low back pain.
|Title of host publication||Australasian Conference on Information Systems 2017, Hobart, Australia|
|Editors||Kai Riemer , Marta Indulska, Virpi Kristiina Tuunainen|
|Place of Publication||Hobart Tas Australia|
|Publisher||Australasian Conference on Information Systems|
|Number of pages||11|
|Publication status||Published - 4 Dec 2017|
|Event||Australasian Conference on Information Systems 2017: Data, Knowledge and Decisions - Wrest Point, Hobart, Australia|
Duration: 4 Dec 2017 → 6 Dec 2017
Conference number: 28th
|Conference||Australasian Conference on Information Systems 2017|
|Abbreviated title||ACIS 2017|
|Period||4/12/17 → 6/12/17|
Goh, T. Y., Burstein, F., Delir Haghighi, P., Cicuttini, F., & Urquhart, D. M. (2017). Empirical study of user experience on mobile data collection for chronic low back pain. In K. Riemer , M. Indulska, & V. K. Tuunainen (Eds.), Australasian Conference on Information Systems 2017, Hobart, Australia (pp. 1-11).  Hobart Tas Australia: Australasian Conference on Information Systems.