Comparison of manual and automated respiratory rate measurements on hospital wards: a prospective observational study

Respiratory rate is an important early sign of clinical deterioration but the current practice of counting breaths manually is time-consuming and prone to error. We aimed to determine the concordance between manual respiratory rate measurements and automated measurements recorded using a wearable device. We undertook a prospective observational study on three general respiratory wards to compare manual respiratory rate measurements collected during usual clinical care with automated readings from a wearable respiratory rate monitor (RespiraSense, PMD Solutions, Cork, Ireland). Thirty-one patients took part in the study. Manual respiratory rate readings displayed large peaks at 20 and 24 breaths/min, whereas automated readings followed a smooth bell-shaped distribution. Manual and automated respiratory rates were both higher during the day than at night, and this was more marked for automated readings. Automated readings were on average 2.5 (95% confidence interval [CI] 2.2 to 2.8) breaths/minute higher than time-matched manual readings, and the 95% limits of agreement were - 7.9 (95% CI -8.4 to -7.4) and 12.9 (95% CI 12.3 to 13.4) breaths/minute, wider than the clinically acceptable limits of ± 3 breaths/min. Trends in manual and automated respiratory rates were concordant in only 56% of cases. Automated respiratory rate measurements using RespiraSense do not display clinically acceptable agreement with manual measurements in the setting of a respiratory ward.

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Publication Details

Journal
Journal of Clinical Monitoring and Computing
Published
2025-11-15
DOI
https://doi.org/10.1007/s10877-025-01380-1
Primary Topic
Respiratory Support and Mechanisms
Type
article
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article

Comparison of manual and automated respiratory rate measurements on hospital wards: a prospective observational study

Tricia M. McKeever, D Rummel Ward, Sherif Gonem, Steve Briggs et al.
Journal of Clinical Monitoring and Computing
Respiratory Support and Mechanisms
article

Comparison of manual and automated respiratory rate measurements on hospital wards: a prospective observational study

Tricia M. McKeever, D Rummel Ward, Sherif Gonem, Steve Briggs, Lucy Stones
article en

Abstract

Respiratory rate is an important early sign of clinical deterioration but the current practice of counting breaths manually is time-consuming and prone to error. We aimed to determine the concordance between manual respiratory rate measurements and automated measurements recorded using a wearable device. We undertook a prospective observational study on three general respiratory wards to compare manual respiratory rate measurements collected during usual clinical care with automated readings from a wearable respiratory rate monitor (RespiraSense, PMD Solutions, Cork, Ireland). Thirty-one patients took part in the study. Manual respiratory rate readings displayed large peaks at 20 and 24 breaths/min, whereas automated readings followed a smooth bell-shaped distribution. Manual and automated respiratory rates were both higher during the day than at night, and this was more marked for automated readings. Automated readings were on average 2.5 (95% confidence interval [CI] 2.2 to 2.8) breaths/minute higher than time-matched manual readings, and the 95% limits of agreement were - 7.9 (95% CI -8.4 to -7.4) and 12.9 (95% CI 12.3 to 13.4) breaths/minute, wider than the clinically acceptable limits of ± 3 breaths/min. Trends in manual and automated respiratory rates were concordant in only 56% of cases. Automated respiratory rate measurements using RespiraSense do not display clinically acceptable agreement with manual measurements in the setting of a respiratory ward.

Journal of Clinical Monitoring and Computing
Nottingham University Hospitals NHS Trust (GB), University of Nottingham (GB), Nottingham Biomedical Research Centre (GB), PDF Solutions (United States) (US)
Openalex Percentile: Top 50%
Respiratory Support and Mechanisms
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Comparison of manual and automated respiratory rate measurements on hospital wards: a prospective observational study — Tricia M. McKeever, D Rummel Ward, et al. · Journal of Clinical Monitoring and Computing (2025) | TGRS Research Map | TGRS