Literature DB >> 16723921

Why don't nurses monitor the respiratory rates of patients?

Jacqueline Hogan1.   

Abstract

Early warning systems (EWS) are being introduced to acute ward areas across the country to support the early recognition of patients at risk of developing a critical illness. All the systems are based on the monitoring of physiological observations of pulse, blood pressure, temperature, respirations and consciousness level. The main problem identified when attempting to introduce an early warning system to the acute general ward areas in one hospital was the general paucity of monitoring of patients observations by the nursing team. Respiratory rate was identified as the one parameter which nursing staff recorded less than 50% of the time. This qualitative study used focus groups in an attempt to understand the reasons behind the paucity in patient observation practice and explore the nurses' values and beliefs about patient monitoring within the context of care. The study identified four major factors associated with the paucity of patient monitoring: organization of nursing care activities, development of nursing observation skills, clinical decision making processes and equipment management issues.

Entities:  

Mesh:

Year:  2006        PMID: 16723921     DOI: 10.12968/bjon.2006.15.9.21087

Source DB:  PubMed          Journal:  Br J Nurs        ISSN: 0966-0461


  32 in total

1.  Randomized Trial of Intelligent Sensor System for Early Illness Alerts in Senior Housing.

Authors:  Marilyn Rantz; Lorraine J Phillips; Colleen Galambos; Kari Lane; Gregory L Alexander; Laurel Despins; Richelle J Koopman; Marjorie Skubic; Lanis Hicks; Steven Miller; Andy Craver; Bradford H Harris; Chelsea B Deroche
Journal:  J Am Med Dir Assoc       Date:  2017-07-12       Impact factor: 4.669

2.  Acoustic sensor versus electrocardiographically derived respiratory rate in unstable trauma patients.

Authors:  Shiming Yang; Ashley Menne; Peter Hu; Lynn Stansbury; Cheng Gao; Nicolas Dorsey; William Chiu; Stacy Shackelford; Colin Mackenzie
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.  A qualitative study to develop an instrument for initial nurse assessment.

Authors:  Abhijit Chakravarty; Pooja Sajan; B C Nambiar
Journal:  Med J Armed Forces India       Date:  2016-07-12

5.  Breathing is good.

Authors:  Michael Ramsay
Journal:  J Clin Monit Comput       Date:  2015-04       Impact factor: 2.502

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.  Non-invasive continuous respiratory monitoring using temperature-based sensors.

Authors:  Daniel E Hurtado; Angel Abusleme; Javier A P Chávez
Journal:  J Clin Monit Comput       Date:  2019-06-03       Impact factor: 2.502

Review 8.  Vital signs in older patients: age-related changes.

Authors:  Jennifer Gonik Chester; James L Rudolph
Journal:  J Am Med Dir Assoc       Date:  2010-10-02       Impact factor: 4.669

9.  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

10.  Sensor systems for monitoring functional status in assisted living facility residents.

Authors:  Gregory L Alexander; Marilyn Rantz; Marjorie Skubic; Myra A Aud; Bonnie Wakefield; Elena Florea; Anindita Paul
Journal:  Res Gerontol Nurs       Date:  2008-10       Impact factor: 1.571

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