Literature DB >> 15797273

Long-term effect of introducing an early warning score on respiratory rate charting on general wards.

Jackie McBride1, Debbie Knight, Jo Piper, Gary B Smith.   

Abstract

The respiratory rate is an early indicator of disease, yet many clinicians underestimate its importance and hospitals report a poor level of respiratory rate recording. We studied the short- and long-term effects of introducing a new patient vital signs chart and the modified early warning score (MEWS), which incorporates respiratory rate on the prevalence of respiratory rate recording in six general wards of our hospital. Prior to the commencement of the study, the average percentage of occupied beds where at least one respiratory rate recording had been made in a single 24-h period was 29.5+/-13.5%. After the introduction of the new vital signs chart to all six wards, and the introduction of MEWS to three wards, this rose to 68.9+/-20.9%. When all six wards had been using both the new chart and the MEWS system for almost 1 year, the figure had reached 91.2+/-5.6%. During the pre-introduction period, there was no difference in the prevalence of respiratory rate recording between the specialties (orthopaedic, 26.9%; surgery, 32.9%; medicine, 29.8%; p=0.118). During the second two audit periods, the prevalence of respiratory rate monitoring was consistently higher on medical wards than on surgical and orthopaedic wards (p<0.001). The study confirms the long-term beneficial effect of introducing the MEWS system on respiratory rate recording into the general wards of our hospital. As respiratory rate abnormalities are early markers of disease, it is hoped that improved monitoring will have an impact on the nature and timeliness of the response to critical illness. This may have an impact on the future incidence of potentially avoidable cardiac arrest, deaths and unanticipated intensive care unit admission.

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Year:  2005        PMID: 15797273     DOI: 10.1016/j.resuscitation.2004.10.015

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  19 in total

1.  Predicting cardiac arrest on the wards: a nested case-control study.

Authors:  Matthew M Churpek; Trevor C Yuen; Michael T Huber; Seo Young Park; Jesse B Hall; Dana P Edelson
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2.  Acoustic sensor versus electrocardiographically derived respiratory rate in unstable trauma patients.

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Journal:  J Clin Monit Comput       Date:  2016-06-07       Impact factor: 2.502

3.  Clinical evaluation of a novel respiratory rate monitor.

Authors:  Peter J Lee
Journal:  J Clin Monit Comput       Date:  2015-04-22       Impact factor: 2.502

4.  Flash mob research: a single-day, multicenter, resident-directed study of respiratory rate.

Authors:  Matthew W Semler; Daniel G Stover; Andrew P Copland; Gina Hong; Michael J Johnson; Michael S Kriss; Hannah Otepka; Li Wang; Brian W Christman; Todd W Rice
Journal:  Chest       Date:  2013-06       Impact factor: 9.410

5.  Implementing the Bedside Paediatric Early Warning System in a community hospital: A prospective observational study.

Authors:  Christopher S Parshuram; Ann Bayliss; Janette Reimer; Kristen Middaugh; Nadeene Blanchard
Journal:  Paediatr Child Health       Date:  2011-03       Impact factor: 2.253

6.  The prognostic significance of respiratory rate in patients with pneumonia: a retrospective analysis of data from 705,928 hospitalized patients in Germany from 2010-2012.

Authors:  Richard Strauß; Santiago Ewig; Klaus Richter; Thomas König; Günther Heller; Torsten T Bauer
Journal:  Dtsch Arztebl Int       Date:  2014-07-21       Impact factor: 5.594

7.  Implementation of a novel postoperative monitoring system using automated Modified Early Warning Scores (MEWS) incorporating end-tidal capnography.

Authors:  Joseph M Blankush; Robbie Freeman; Joy McIlvaine; Trung Tran; Stephen Nassani; I Michael Leitman
Journal:  J Clin Monit Comput       Date:  2016-10-20       Impact factor: 2.502

8.  The CURB65 pneumonia severity score outperforms generic sepsis and early warning scores in predicting mortality in community-acquired pneumonia.

Authors:  Gavin Barlow; Dilip Nathwani; Peter Davey
Journal:  Thorax       Date:  2006-08-23       Impact factor: 9.139

Review 9. 

Authors:  J P Nolan; C D Deakin; J Soar; B W Böttiger; G Smith; M Baubin; B Dirks; V Wenzel
Journal:  Notf Rett Med       Date:  2006-02-01       Impact factor: 0.826

Review 10.  Risk stratification of hospitalized patients on the wards.

Authors:  Matthew M Churpek; Trevor C Yuen; Dana P Edelson
Journal:  Chest       Date:  2013-06       Impact factor: 9.410

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