Evidence map›Paper›PMID 35171101›Full record

ArticleJMIR human factors2022

Usability of Wearable Multiparameter Technology to Continuously Monitor Free-Living Vital Signs in People Living With Chronic Obstructive Pulmonary Disease: Prospective Observational Study.

Grace Hawthorne, Neil Greening, Dale Esliger, Samuel Briggs-Price, Matthew Richardson, Emma Chaplin, Lisa Clinch, Michael C Steiner, Sally J Singh, Mark W Orme

Abstract read
In one paragraph

Article in JMIR human factors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Exacerbations of COPD.Respiratory care · 2023
    Article
  7. Review
  8. Article
  9. Observational
  10. Article
  11. Article
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.

Grace HawthorneCentre for Exercise and Rehabilitation Science, National Institute for Health Research Leicester Biomedical Research Centre - Respiratory, University Hospitals of Leicester National Health Service Trust, Leicester, United Kingdom.ORCID https://orcid.org/0000-0002-7198-708X
Neil GreeningCentre for Exercise and Rehabilitation Science, National Institute for Health Research Leicester Biomedical Research Centre - Respiratory, University Hospitals of Leicester National Health Service Trust, Leicester, United Kingdom.ORCID https://orcid.org/0000-0003-0453-7529
Dale EsligerSchool of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom.ORCID https://orcid.org/0000-0002-1236-6419
Samuel Briggs-PriceCentre for Exercise and Rehabilitation Science, National Institute for Health Research Leicester Biomedical Research Centre - Respiratory, University Hospitals of Leicester National Health Service Trust, Leicester, United Kingdom.ORCID https://orcid.org/0000-0001-7435-3173
Matthew RichardsonDepartment of Respiratory Sciences, University of Leicester, Leicester, United Kingdom.ORCID https://orcid.org/0000-0002-5701-234X
Emma ChaplinCentre for Exercise and Rehabilitation Science, National Institute for Health Research Leicester Biomedical Research Centre - Respiratory, University Hospitals of Leicester National Health Service Trust, Leicester, United Kingdom.ORCID https://orcid.org/0000-0003-0981-2980
Lisa ClinchCentre for Exercise and Rehabilitation Science, National Institute for Health Research Leicester Biomedical Research Centre - Respiratory, University Hospitals of Leicester National Health Service Trust, Leicester, United Kingdom.ORCID https://orcid.org/0000-0002-8245-6276
Michael C SteinerCentre for Exercise and Rehabilitation Science, National Institute for Health Research Leicester Biomedical Research Centre - Respiratory, University Hospitals of Leicester National Health Service Trust, Leicester, United Kingdom.ORCID https://orcid.org/0000-0002-0127-0614
Sally J SinghCentre for Exercise and Rehabilitation Science, National Institute for Health Research Leicester Biomedical Research Centre - Respiratory, University Hospitals of Leicester National Health Service Trust, Leicester, United Kingdom.ORCID https://orcid.org/0000-0002-9834-0366
Mark W OrmeCentre for Exercise and Rehabilitation Science, National Institute for Health Research Leicester Biomedical Research Centre - Respiratory, University Hospitals of Leicester National Health Service Trust, Leicester, United Kingdom.ORCID https://orcid.org/0000-0003-4678-6574

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVital signs monitoring (VSM) is routine for inpatients, but monitoring during free-living conditions is largely untested in chronic obstructive pulmonary disease (COPD).

objectiveThis study investigated the usability and acceptability of continuous VSM for people with COPD using wearable multiparameter technology.

methodsIn total, 50 people following hospitalization for an acute exacerbation of COPD (AECOPD) and 50 people with stable COPD symptoms were asked to wear an Equivital LifeMonitor during waking hours for 6 weeks (42 days). The device recorded heart rate (HR), respiratory rate (RR), skin temperature, and physical activity. Adherence was defined by the number of days the vest was worn and daily wear time. Signal quality was examined, with thresholds of ≥85% for HR and ≥80% for RR, based on the device's proprietary confidence algorithm. Data quality was calculated as the percentage of wear time with acceptable signal quality. Participant feedback was assessed during follow-up phone calls.

resultsIn total, 84% of participants provided data, with average daily wear time of 11.8 (SD 2.2) hours for 32 (SD 11) days (average of study duration 76%, SD 26%). There was greater adherence in the stable group than in the post-AECOPD group (≥5 weeks wear: 71.4% vs 45.7%; P=.02). For all 84 participants, the median HR signal quality was 90% (IQR 80%-94%) and the median RR signal quality was 93% (IQR 92%-95%). The median HR data quality was 81% (IQR 58%-91%), and the median RR data quality was 85% (IQR 77%-91%). Stable group BMI was associated with HR signal quality (r

conclusionsThis wearable multiparametric technology showed good user acceptance and was able to measure vital signs in a COPD population. Data quality was generally high but was influenced by body composition. Overall, it was feasible to continuously measure vital signs during free-living conditions in people with COPD symptoms but with additional challenges in the post-AECOPD context.

Indexed as

chronic obstructive pulmonary diseasedigital healthphysical activityrespiratory ratevital signs monitorwearable devicewearable technology

Identifiers

PMID35171101
PMCPMC8892301

What OpenQuestion holds

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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.