Evidence map›Paper›PMID 29903700›Full record

ArticleJMIR mHealth and uHealth2018

Feasibility of Using a Smartwatch to Intensively Monitor Patients With Chronic Obstructive Pulmonary Disease: Prospective Cohort Study.

Robert Wu, Daniyal Liaqat, Eyal de Lara, Tatiana Son, Frank Rudzicz, Hisham Alshaer, Pegah Abed-Esfahani, Andrea S Gershon

Abstract read
In one paragraph

Article in JMIR mHealth and uHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

25 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

8 authors.

Robert WuDivision of General Internal Medicine, University Health Network, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-6895-1107
Daniyal LiaqatDepartment of Computer Science, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0003-0618-2821
Eyal de LaraDepartment of Computer Science, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-6730-555X
Tatiana SonToronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.ORCID http://orcid.org/0000-0003-0351-8596
Frank RudziczDepartment of Computer Science, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-1139-3423
Hisham AlshaerToronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada.ORCID http://orcid.org/0000-0001-6736-2215
Pegah Abed-EsfahaniDepartment of Computer Science, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0001-9839-0403
Andrea S GershonDepartment of Medicine, University of Toronto, Toronto, ON, Canada.ORCID http://orcid.org/0000-0002-0246-594X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAcute exacerbations of chronic obstructive pulmonary disease (COPD) are associated with accelerated decline in lung function, diminished quality of life, and higher mortality. Proactively monitoring patients for early signs of an exacerbation and treating them early could prevent these outcomes. The emergence of affordable wearable technology allows for nearly continuous monitoring of heart rate and physical activity as well as recording of audio which can detect features such as coughing. These signals may be able to be used with predictive analytics to detect early exacerbations. Prior to full development, however, it is important to determine the feasibility of using wearable devices such as smartwatches to intensively monitor patients with COPD.

objectiveWe conducted a feasibility study to determine if patients with COPD would wear and maintain a smartwatch consistently and whether they would reliably collect and transmit sensor data.

methodsPatients with COPD were recruited from 3 hospitals and were provided with a smartwatch that recorded audio, heart rate, and accelerations. They were asked to wear and charge it daily for 90 days. They were also asked to complete a daily symptom diary. At the end of the study period, participants were asked what would motivate them to regularly use a wearable for monitoring of their COPD.

resultsOf 28 patients enrolled, 16 participants completed the full 90 days. The average age of participants was 68.5 years, and 36% (10/28) were women. Survey, heart rate, and activity data were available for an average of 64.5, 65.1, and 60.2 days respectively. Technical issues caused heart rate and activity data to be unavailable for approximately 13 and 17 days, respectively. Feedback provided by participants indicated that they wanted to actively engage with the smartwatch and receive feedback about their activity, heart rate, and how to better manage their COPD.

conclusionsSome patients with COPD will wear and maintain smartwatches that passively monitor audio, heart rate, and physical activity, and wearables were able to reliably capture near-continuous patient data. Further work is necessary to increase acceptability and improve the patient experience.

Indexed as

chronic obstructive pulmonary diseasemonitoringphysiologic disease managementtelehealthwearable

Identifiers

PMID29903700
PMCPMC6024103

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Registered trials

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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.