The accuracy of respiratory rate assessment by doctors in a London teaching hospital: a cross-sectional study
Author(s)
Type
Journal Article
Abstract
Respiratory rate (RR) is one of the most sensitive markers of a patient condition and a core aspect of multiple clinical assessment tools. Doctors use a number of methods to assess RR, including formal measurement, and ‘spot’ assessments, although this is not recommended. This study aimed to assess the accuracy of the methods of RR measurement being used by doctors. A cross-sectional study assessing the accuracy (range, bias, and imprecision) of doctors’ ‘spot’ and ‘formal’ respiratory rate assessments, using videos of mock patients. 54 doctors in a London teaching hospital participated. Both methods showed high levels of inaccuracy, though formal methods were more accurate than ‘spot’ assessments. 52 and 19 % of doctors did not identify the respiratory rates shown as abnormal, using ‘spot’ and formal assessment methods respectively. We observed a trend towards decreasing accuracy of ‘spot’ assessments with increasing clinical experience (p = 0.0490). Current methods of RR assessment by doctors are inaccurate. This may be significantly delaying appropriate clinical care, or even misguiding treatment.
Date Issued
2015-08-01
Date Acceptance
2014-09-18
Citation
Journal of Clinical Monitoring and Computing, 2015, 29 (4), pp.455-460
ISSN
0167-9945
Publisher
Springer Verlag
Start Page
455
End Page
460
Journal / Book Title
Journal of Clinical Monitoring and Computing
Volume
29
Issue
4
Copyright Statement
© The Author(s) 2014. This article is published with open access at Springerlink.com. This article is distributed under the terms of the
Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original
author(s) and the source are credited.
Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original
author(s) and the source are credited.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000357127800006&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Life Sciences & Biomedicine
Anesthesiology
Respiratory rate
Vital signs
Observations
Assessment
EARLY WARNING SCORE
ARREST
Publication Status
Published
Date Publish Online
2014-10-02