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    An observational study investigating the use of patient-owned technology to quantify physical activity in survivors of critical illness

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    Author
    Gluck, S; Summers, MJ; Finnis, ME; Andrawos, A; Goddard, TP; Hodgson, CL; Iwashyna, TJ; Deane, AM
    Date
    2020-03-01
    Source Title
    Australian Critical Care
    Publisher
    ELSEVIER SCIENCE INC
    University of Melbourne Author/s
    Deane, Adam
    Affiliation
    Medicine and Radiology
    Metadata
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    Document Type
    Journal Article
    Citations
    Gluck, S., Summers, M. J., Finnis, M. E., Andrawos, A., Goddard, T. P., Hodgson, C. L., Iwashyna, T. J. & Deane, A. M. (2020). An observational study investigating the use of patient-owned technology to quantify physical activity in survivors of critical illness. AUSTRALIAN CRITICAL CARE, 33 (2), pp.137-143. https://doi.org/10.1016/j.aucc.2019.01.009.
    Access Status
    This item is currently not available from this repository
    URI
    http://hdl.handle.net/11343/257760
    DOI
    10.1016/j.aucc.2019.01.009
    Abstract
    BACKGROUND: Physical activity after intensive care unit (ICU) discharge is challenging to measure but could inform research and practice. A patient's smartphone may provide a novel method to quantify physical activity. OBJECTIVES: We aimed to evaluate the feasibility and accuracy of using smartphone step counts among survivors of critical illness. METHODS: We performed a prospective observational cohort study in 50 patients who had an ICU length of stay>48 h, owned a smartphone, were ambulatory before admission, and were likely to attend follow-up at 3 and 6 months after discharge. At follow-up, daily step counts were extracted from participants' smartphones and two FitBit pedometers, and exercise capacity (6-min walk test) and quality of life (European Quality of Life-5 Dimensions) were measured. RESULTS: Thirty-nine (78%) patients returned at 3 months and 33 (66%) at 6 months, the median [interquartile range] smartphone step counts being 3372 [1688-5899] and 2716 [1717-5994], respectively. There was a strong linear relationship, with smartphone approximating 0.71 (0.58, 0.84) of FitBit step counts, P < 0.0001, R-squared = 0.87. There were weak relationships between step counts and the 6-min walk test distance. CONCLUSION: Although smartphone ownership and data acquisition limit the viability of using extracted smartphone steps at this time, mean daily step counts recorded using a smartphone may act as a surrogate for a dedicated pedometer; however, the relationship between step counts and other measures of physical recovery remains unclear.

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