An observational study investigating the use of patient-owned technology to quantify physical activity in survivors of critical illness
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. We aimed to evaluate the feasibility and accuracy of using smartphone step counts among...
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Published in | Australian critical care Vol. 33; no. 2; pp. 137 - 143 |
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Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
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Australia
Elsevier Ltd
01.03.2020
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Abstract | 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.
We aimed to evaluate the feasibility and accuracy of using smartphone step counts among survivors of critical illness.
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.
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.
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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AbstractList | 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.
We aimed to evaluate the feasibility and accuracy of using smartphone step counts among survivors of critical illness.
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.
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.
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. BACKGROUNDPhysical 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. OBJECTIVESWe aimed to evaluate the feasibility and accuracy of using smartphone step counts among survivors of critical illness. METHODSWe 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. RESULTSThirty-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. CONCLUSIONAlthough 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. |
Author | Iwashyna, Theodore John Summers, Matthew James Goddard, Thomas Paul Hodgson, Carol Lynette Andrawos, Alice Deane, Adam Michael Finnis, Mark Edward Gluck, Samuel |
Author_xml | – sequence: 1 givenname: Samuel orcidid: 0000-0001-7883-517X surname: Gluck fullname: Gluck, Samuel email: samuel.gluck@adelaide.edu.au organization: Intensive Care Unit, Royal Adelaide Hospital, Port Road, Adelaide, South Australia, Australia, SA 5000 – sequence: 2 givenname: Matthew James surname: Summers fullname: Summers, Matthew James email: Matthew.Summers@sa.gov.au organization: Intensive Care Unit, Royal Adelaide Hospital, Port Road, Adelaide, South Australia, Australia, SA 5000 – sequence: 3 givenname: Mark Edward orcidid: 0000-0003-4125-5221 surname: Finnis fullname: Finnis, Mark Edward email: mark.finnis@adelaide.edu.au organization: Intensive Care Unit, Royal Adelaide Hospital, Port Road, Adelaide, South Australia, Australia, SA 5000 – sequence: 4 givenname: Alice surname: Andrawos fullname: Andrawos, Alice email: aliceandrawos@gmail.com organization: Intensive Care Unit, Royal Adelaide Hospital, Port Road, Adelaide, South Australia, Australia, SA 5000 – sequence: 5 givenname: Thomas Paul surname: Goddard fullname: Goddard, Thomas Paul email: goddard_tom@hotmail.com organization: Intensive Care Unit, Royal Adelaide Hospital, Port Road, Adelaide, South Australia, Australia, SA 5000 – sequence: 6 givenname: Carol Lynette surname: Hodgson fullname: Hodgson, Carol Lynette email: carol.hodgson@monash.edu organization: Australian and New Zealand Intensive Care Research Centre, Monash University, Melbourne, Australia, VIC 3800 – sequence: 7 givenname: Theodore John surname: Iwashyna fullname: Iwashyna, Theodore John email: tiwashyn@umich.edu organization: Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA – sequence: 8 givenname: Adam Michael surname: Deane fullname: Deane, Adam Michael email: adam.m.deane@gmail.com organization: Discipline of Acute Care Medicine, Adelaide Health and Medical Sciences Building, 4 North Terrace, Adelaide, South Australia, Australia, SA 5000 |
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CitedBy_id | crossref_primary_10_1016_j_aucc_2021_05_007 crossref_primary_10_15561_health_2022_0103 crossref_primary_10_1016_S1441_2772_23_00392_7 crossref_primary_10_2196_34384 crossref_primary_10_1016_j_iccn_2023_103608 crossref_primary_10_1111_anae_16285 |
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Keywords | Patient outcome assessment Accelerometer Pedometer Smartphone Step count |
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Snippet | Physical activity after intensive care unit (ICU) discharge is challenging to measure but could inform research and practice. A patient's smartphone may... BACKGROUNDPhysical activity after intensive care unit (ICU) discharge is challenging to measure but could inform research and practice. A patient's smartphone... |
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SubjectTerms | Accelerometer Adult Aged Critical Illness - rehabilitation Data Collection Exercise Female Humans Intensive Care Units Male Middle Aged Nursing Patient Outcome Assessment Pedometer Smartphone Smartphone - instrumentation Step count Survivors Technology |
Title | An observational study investigating the use of patient-owned technology to quantify physical activity in survivors of critical illness |
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