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

Samuel Gluck, Matthew James Summers, Mark Edward Finnis, Alice Andrawos, Thomas Paul Goddard, Carol Lynette Hodgson, Theodore John Iwashyna, Adam Michael Deane

Research output: Contribution to journalArticleResearchpeer-review

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.

Original languageEnglish
Number of pages7
JournalAustralian Critical Care
DOIs
Publication statusAccepted/In press - 1 Jan 2019

Keywords

  • Accelerometer
  • Patient outcome assessment
  • Pedometer
  • Smartphone
  • Step count

Cite this

Gluck, Samuel ; Summers, Matthew James ; Finnis, Mark Edward ; Andrawos, Alice ; Goddard, Thomas Paul ; Hodgson, Carol Lynette ; Iwashyna, Theodore John ; Deane, Adam Michael. / An observational study investigating the use of patient-owned technology to quantify physical activity in survivors of critical illness. In: Australian Critical Care. 2019.
@article{f143cdecb70346eaae7976c599186f64,
title = "An observational study investigating the use of patient-owned technology to quantify physical activity in survivors of critical illness",
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.",
keywords = "Accelerometer, Patient outcome assessment, Pedometer, Smartphone, Step count",
author = "Samuel Gluck and Summers, {Matthew James} and Finnis, {Mark Edward} and Alice Andrawos and Goddard, {Thomas Paul} and Hodgson, {Carol Lynette} and Iwashyna, {Theodore John} and Deane, {Adam Michael}",
year = "2019",
month = "1",
day = "1",
doi = "10.1016/j.aucc.2019.01.009",
language = "English",
journal = "Australian critical care : official journal of the Confederation of Australian Critical Care Nurses",
issn = "1036-7314",
publisher = "Elsevier",

}

An observational study investigating the use of patient-owned technology to quantify physical activity in survivors of critical illness. / Gluck, Samuel; Summers, Matthew James; Finnis, Mark Edward; Andrawos, Alice; Goddard, Thomas Paul; Hodgson, Carol Lynette; Iwashyna, Theodore John; Deane, Adam Michael.

In: Australian Critical Care, 01.01.2019.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - An observational study investigating the use of patient-owned technology to quantify physical activity in survivors of critical illness

AU - Gluck, Samuel

AU - Summers, Matthew James

AU - Finnis, Mark Edward

AU - Andrawos, Alice

AU - Goddard, Thomas Paul

AU - Hodgson, Carol Lynette

AU - Iwashyna, Theodore John

AU - Deane, Adam Michael

PY - 2019/1/1

Y1 - 2019/1/1

N2 - 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.

AB - 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.

KW - Accelerometer

KW - Patient outcome assessment

KW - Pedometer

KW - Smartphone

KW - Step count

UR - http://www.scopus.com/inward/record.url?scp=85062806774&partnerID=8YFLogxK

U2 - 10.1016/j.aucc.2019.01.009

DO - 10.1016/j.aucc.2019.01.009

M3 - Article

JO - Australian critical care : official journal of the Confederation of Australian Critical Care Nurses

JF - Australian critical care : official journal of the Confederation of Australian Critical Care Nurses

SN - 1036-7314

ER -