Literature DB >> 27592538

Respiratory rates measured by a standardised clinical approach, ward staff, and a wireless device.

A Granholm1, N E Pedersen2,3, A Lippert2, L F Petersen2, L S Rasmussen4.   

Abstract

BACKGROUND: Respiratory rate is among the first vital signs to change in deteriorating patients. The aim was to investigate the agreement between respiratory rate measurements by three different methods.
METHODS: This prospective observational study included acutely admitted adult patients in a medical ward. Respiratory rate was measured by three methods: a standardised approach over 60 s while patients lay still and refrained from talking, by ward staff and by a wireless electronic patch (SensiumVitals). The Bland-Altman method was used to compare measurements and three breaths per minute (BPM) was considered a clinically relevant difference.
RESULTS: We included 50 patients. The mean difference between the standardised approach and the electronic measurement was 0.3 (95% CI: -1.4 to 2.0) BPM; 95% limits of agreement were -11.5 (95% CI: -14.5 to -8.6) and 12.1 (95% CI: 9.2 to 15.1) BPM. Removal of three outliers with huge differences lead to a mean difference of -0.1 (95% CI: -0.7 to 0.5) BPM and 95% limits of agreement of -4.2 (95% CI: -5.3 to -3.2) BPM and 4.0 (95% CI: 2.9 to 5.0) BPM. The mean difference between staff and electronic measurements was 1.7 (95% CI: -0.5 to 3.9) BPM; 95% limits of agreement were -13.3 (95% CI: -17.2 to -9.5) BPM and 16.8 (95% CI: 13.0 to 20.6) BPM.
CONCLUSION: A concerning lack of agreement was found between a wireless monitoring system and a standardised clinical approach. Ward staff's measurements also seemed to be inaccurate.
© 2016 The Acta Anaesthesiologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.

Entities:  

Mesh:

Year:  2016        PMID: 27592538     DOI: 10.1111/aas.12784

Source DB:  PubMed          Journal:  Acta Anaesthesiol Scand        ISSN: 0001-5172            Impact factor:   2.105


  10 in total

1.  A critical assessment of early warning score records in 168,000 patients.

Authors:  Niels Egholm Pedersen; Lars Simon Rasmussen; John Asger Petersen; Thomas Alexander Gerds; Doris Østergaard; Anne Lippert
Journal:  J Clin Monit Comput       Date:  2017-02-25       Impact factor: 2.502

Review 2.  [Postoperative remote monitoring].

Authors:  B Preckel; L M Posthuma; M J Visscher; M W Hollmann
Journal:  Anaesthesist       Date:  2020-01       Impact factor: 1.041

3.  Smart Vest for Respiratory Rate Monitoring of COPD Patients Based on Non-Contact Capacitive Sensing.

Authors:  David Naranjo-Hernández; Alejandro Talaminos-Barroso; Javier Reina-Tosina; Laura M Roa; Gerardo Barbarov-Rostan; Pilar Cejudo-Ramos; Eduardo Márquez-Martín; Francisco Ortega-Ruiz
Journal:  Sensors (Basel)       Date:  2018-07-03       Impact factor: 3.576

4.  Insights into postoperative respiration by using continuous wireless monitoring of respiratory rate on the postoperative ward: a cohort study.

Authors:  Linda M Posthuma; Maarten J Visscher; Philipp B Lirk; Els J M Nieveen van Dijkum; Markus W Hollmann; Benedikt Preckel
Journal:  J Clin Monit Comput       Date:  2019-11-13       Impact factor: 2.502

Review 5.  A review of the literature on the accuracy, strengths, and limitations of visual, thoracic impedance, and electrocardiographic methods used to measure respiratory rate in hospitalized patients.

Authors:  Linda K Bawua; Christine Miaskowski; Xiao Hu; George W Rodway; Michele M Pelter
Journal:  Ann Noninvasive Electrocardiol       Date:  2021-08-18       Impact factor: 1.468

6.  Reliability of wireless monitoring using a wearable patch sensor in high-risk surgical patients at a step-down unit in the Netherlands: a clinical validation study.

Authors:  Martine J M Breteler; Erik Huizinga; Kim van Loon; Luke P H Leenen; Daan A J Dohmen; Cor J Kalkman; Taco J Blokhuis
Journal:  BMJ Open       Date:  2018-02-27       Impact factor: 2.692

7.  Influences of Sensor Placement Site and Subject Posture on Measurement of Respiratory Frequency Using Triaxial Accelerometers.

Authors:  Stephen Hughes; Haipeng Liu; Dingchang Zheng
Journal:  Front Physiol       Date:  2020-07-09       Impact factor: 4.566

8.  Classifying signals from a wearable accelerometer device to measure respiratory rate.

Authors:  Gordon B Drummond; Darius Fischer; Margaret Lees; Andrew Bates; Janek Mann; D K Arvind
Journal:  ERJ Open Res       Date:  2021-04-26

9.  Quantitative systematic review: Sources of inaccuracy in manually measured adult respiratory rate data.

Authors:  Noa Kallioinen; Andrew Hill; Melany J Christofidis; Mark S Horswill; Marcus O Watson
Journal:  J Adv Nurs       Date:  2020-10-10       Impact factor: 3.057

10.  Clinical evaluation of a wearable sensor for mobile monitoring of respiratory rate on hospital wards.

Authors:  Kristiina Järvelä; Panu Takala; Frederic Michard; Leena Vikatmaa
Journal:  J Clin Monit Comput       Date:  2021-09-02       Impact factor: 2.502

  10 in total

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