Evidence map›Paper›PMID 35417402›Full record

ArticleJMIR rehabilitation and assistive technologies2022

Using Smartwatches to Observe Changes in Activity During Recovery From Critical Illness Following COVID-19 Critical Care Admission: 1-Year, Multicenter Observational Study.

Alex Hunter, Todd Leckie, Oliver Coe, Benjamin Hardy, Daniel Fitzpatrick, Ana-Carolina Gonçalves, Mary-Kate Standing, Christina Koulouglioti, Alan Richardson, Luke Hodgson

Open access · goldAbstract read
In one paragraph

Article in JMIR rehabilitation and assistive technologies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.3field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 21 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Alex HunterDepartment of Intensive Care Medicine, Worthing Hospital, University Hospitals Sussex National Health Service Trust, Worthing, United Kingdom.ORCID https://orcid.org/0000-0002-0527-0419
Todd LeckieDepartment of Intensive Care Medicine, Worthing Hospital, University Hospitals Sussex National Health Service Trust, Worthing, United Kingdom.ORCID https://orcid.org/0000-0003-4309-5225
Oliver CoeSchool of Sport and Health Sciences, University of Brighton, Brighton, United Kingdom.ORCID https://orcid.org/0000-0002-4722-7769
Benjamin HardyDepartment of Intensive Care Medicine, East Sussex National Health Service Trust, Eastbourne, United Kingdom.ORCID https://orcid.org/0000-0002-5103-4644
Daniel FitzpatrickSchool of Sport and Health Sciences, University of Brighton, Brighton, United Kingdom.ORCID https://orcid.org/0000-0001-7188-2766
Ana-Carolina GonçalvesDepartment of Intensive Care Medicine, Worthing Hospital, University Hospitals Sussex National Health Service Trust, Worthing, United Kingdom.ORCID https://orcid.org/0000-0003-4055-0894
Mary-Kate StandingDepartment of Intensive Care Medicine, Worthing Hospital, University Hospitals Sussex National Health Service Trust, Worthing, United Kingdom.ORCID https://orcid.org/0000-0003-1491-8624
Christina KoulougliotiDepartment of Intensive Care Medicine, Worthing Hospital, University Hospitals Sussex National Health Service Trust, Worthing, United Kingdom.ORCID https://orcid.org/0000-0003-3227-6696
Alan RichardsonSchool of Sport and Health Sciences, University of Brighton, Brighton, United Kingdom.ORCID https://orcid.org/0000-0001-8931-2518
Luke HodgsonDepartment of Intensive Care Medicine, Worthing Hospital, University Hospitals Sussex National Health Service Trust, Worthing, United Kingdom.ORCID https://orcid.org/0000-0002-8278-9513
National Health Service · GBUniversity of Brighton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs a sequela of the COVID-19 pandemic, a large cohort of critical illness survivors have had to recover in the context of ongoing societal restrictions.

objectiveWe aimed to use smartwatches (Fitbit Charge 3; Fitbit LLC) to assess changes in the step counts and heart rates of critical care survivors following hospital admission with COVID-19, use these devices within a remote multidisciplinary team (MDT) setting to support patient recovery, and report on our experiences with this.

methodsWe conducted a prospective, multicenter observational trial in 8 UK critical care units. A total of 50 participants with moderate or severe lung injury resulting from confirmed COVID-19 were recruited at discharge from critical care and given a smartwatch (Fitbit Charge 3) between April and June 2020. The data collected included step counts and daily resting heart rates. A subgroup of the overall cohort at one site-the MDT site (n=19)-had their smartwatch data used to inform a regular MDT meeting. A patient feedback questionnaire and direct feedback from the MDT were used to report our experience. Participants who did not upload smartwatch data were excluded from analysis.

resultsOf the 50 participants recruited, 35 (70%) used and uploaded data from their smartwatch during the 1-year period. At the MDT site, 74% (14/19) of smartwatch users uploaded smartwatch data, whereas 68% (21/31) of smartwatch users at the control sites uploaded smartwatch data. For the overall cohort, we recorded an increase in mean step count from 4359 (SD 3488) steps per day in the first month following discharge to 7914 (SD 4146) steps per day at 1 year (P=.003). The mean resting heart rate decreased from 79 (SD 7) beats per minute in the first month to 69 (SD 4) beats per minute at 1 year following discharge (P<.001). The MDT subgroup's mean step count increased more than that of the control group (176% increase vs 42% increase, respectively; +5474 steps vs +2181 steps, respectively; P=.04) over 1 year. Further, 71% (10/14) of smartwatch users at the MDT site and 48% (10/21) of those at the control sites strongly agreed that their Fitbit motivated them to recover, and 86% (12/14) and 48% (10/21), respectively, strongly agreed that they aimed to increase their activity levels over time.

conclusionsThis is the first study to use smartwatch data to report on the 1-year recovery of patients who survived a COVID-19 critical illness. This is also the first study to report on smartwatch use within a post-critical care MDT. Future work could explore the role of smartwatches as part of a randomized controlled trial to assess clinical and economic effectiveness. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.12968/ijtr.2020.0102.

Indexed as

COVID-19critical illnessdevice usabilitydigital healthmobile healthrehabilitationremote therapysmartphonetelemedicine

Identifiers

PMID35417402
PMCPMC9063865
OpenAlexW4224102793

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.