Literature DB >> 21719184

Measuring adherence among nurses one year after training in applying the Modified Early Warning Score and Situation-Background-Assessment-Recommendation instruments.

Jeroen Ludikhuize1, Evert de Jonge, Astrid Goossens.   

Abstract

BACKGROUND: Patients with a cardiac arrest or unplanned intensive care admission show gradual decline in clinical condition preceding the event. This can be objectified by measuring the vital parameters and subsequently determining the Modified Early Warning Score (MEWS). Contact with the physician by nurses may be structured using the Situation-Background-Assessment-Recommendation (SBAR) communication instrument. The aim of our study was to evaluate whether nurses trained in the use of MEWS and SBAR tools were more likely to recognize a deteriorating patient. DESIGN AND
SETTING: This prospective quasi-experimental trial in the Academic Medical Center in Amsterdam, the Netherlands included three medical and three surgical wards.
INTERVENTIONS: A group of 47 trained and 48 non-trained nurses were presented with a case of a deteriorating patient, and subsequent assessment and actions regarding the patient case were measured.
RESULTS: Of the trained nurses, 77% versus 58% of the non-trained group assessed the patient immediately. On subsequent assessment of the patient, respiratory rate was measured twice as frequently (53% trained versus 25% non-trained, p=0.025). No differences were found in the measurement of other vital parameters. The MEWS was determined by 11% of trained nurses. Subsequent notification of the physician was performed by 67% of the trained versus 43% of the non-trained nurses. The SBAR communication tool was used by only one nurse.
CONCLUSIONS: Trained nurses are able to identify a deteriorating patient and react more appropriately. However, despite rigorously implementing MEWS/SBAR methodology, these tools were rarely used.
Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2011        PMID: 21719184     DOI: 10.1016/j.resuscitation.2011.05.026

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


  9 in total

1.  Automated detection of physiologic deterioration in hospitalized patients.

Authors:  R Scott Evans; Kathryn G Kuttler; Kathy J Simpson; Stephen Howe; Peter F Crossno; Kyle V Johnson; Misty N Schreiner; James F Lloyd; William H Tettelbach; Roger K Keddington; Alden Tanner; Chelbi Wilde; Terry P Clemmer
Journal:  J Am Med Inform Assoc       Date:  2014-08-27       Impact factor: 4.497

2.  SBAR improves communication and safety climate and decreases incident reports due to communication errors in an anaesthetic clinic: a prospective intervention study.

Authors:  Maria Randmaa; Gunilla Mårtensson; Christine Leo Swenne; Maria Engström
Journal:  BMJ Open       Date:  2014-01-21       Impact factor: 2.692

3.  Clinical utility of an observation and response chart with human factors design characteristics and a track and trigger system: study protocol for a two-phase multisite multiple-methods design.

Authors:  Doug Elliott; Sharon McKinley; Lin Perry; Christine Duffield; Rick Iedema; Robyn Gallagher; Margaret Fry; Michael Roche; Emily Allen
Journal:  JMIR Res Protoc       Date:  2014-08-12

4.  The Modified Early Warning Score as a Predictive Tool During Unplanned Surgical Intensive Care Unit Admission.

Authors:  Annandita Kumar; Hussam Ghabra; Fiona Winterbottom; Michael Townsend; Philip Boysen; Bobby D Nossaman
Journal:  Ochsner J       Date:  2020

5.  Patient and family-initiated escalation of care: a qualitative systematic review protocol.

Authors:  Aidín McKinney; Donna Fitzsimons; Bronagh Blackwood; Jennifer McGaughey
Journal:  Syst Rev       Date:  2019-04-09

6.  MEWS++: Enhancing the Prediction of Clinical Deterioration in Admitted Patients through a Machine Learning Model.

Authors:  Arash Kia; Prem Timsina; Himanshu N Joshi; Eyal Klang; Rohit R Gupta; Robert M Freeman; David L Reich; Max S Tomlinson; Joel T Dudley; Roopa Kohli-Seth; Madhu Mazumdar; Matthew A Levin
Journal:  J Clin Med       Date:  2020-01-27       Impact factor: 4.241

7.  Testing effectiveness of the revised Cape Town modified early warning and SBAR systems: a pilot pragmatic parallel group randomised controlled trial.

Authors:  Una Kyriacos; Debora Burger; Sue Jordan
Journal:  Trials       Date:  2019-12-30       Impact factor: 2.279

Review 8.  Performance of the Afferent Limb of Rapid Response Systems in Managing Deteriorating Patients: A Systematic Review.

Authors:  Marcello Difonzo
Journal:  Crit Care Res Pract       Date:  2019-10-30

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

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.