Hawthorne et al. 2022.pdf (834.57 kB)
Usability of wearable multiparameter technology to continuously monitor free-living vital signs in people living with chronic obstructive pulmonary disease: prospective observational study
journal contribution
posted on 2022-02-28, 15:55 authored by Grace Hawthorne, Neil Greening, Dale EsligerDale Esliger, Samuel Briggs-Price, Matthew Richardson, Emma Chaplin, Lisa Clinch, Michael C Steiner, Sally J Singh, Mark W OrmeBackground: Vital signs monitoring (VSM) is routine for inpatients, but monitoring during free-living conditions is largely untested in chronic obstructive pulmonary disease (COPD).
Objective: This study investigated the usability and acceptability of continuous VSM for people with COPD using wearable multiparameter technology.
Methods: In 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.
Results
In 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 (rs=0.45, P=.008) and HR data quality (rs=0.44, P=.008). For the AECOPD group, RR data quality was associated with waist circumference and BMI (rs=–0.49, P=.009; rs=–0.44, P=.02). In total, 36 (74%) participants in the Stable group and 21 (60%) participants in the AECOPD group accepted the technology, but 10 participants (12%) expressed concerns with wearing a device around their chest.
Conclusions: This 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.
Funding
NIHR Leicester Biomedical Research Centre
Pfizer OPEN AIR scheme (grant WP1462736)
History
School
- Sport, Exercise and Health Sciences
Published in
JMIR Human FactorsVolume
9Issue
1Publisher
JMIR Publications Inc.Version
- VoR (Version of Record)
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© The AuthorsPublisher statement
This is an Open Access Article. It is published by JMIR Publications under the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/Acceptance date
2021-08-26Publication date
2022-02-16eISSN
2292-9495Publisher version
Language
- en
Depositor
Dr Dale Esliger. Deposit date: 28 February 2022Article number
e30091Usage metrics
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