2.50
Hdl Handle:
http://hdl.handle.net/10755/304454
Category:
Full-text
Type:
Presentation
Title:
Reliability Testing of a Modified Early Warning Scoring (MEWS)
Author(s):
Futrell, Lexie Scarborough; Stunkard, Kimberley A.; Whitley, Erin; Maples, Jessica; Roney, Jamie K.; Long, JoAnn D.
Lead Author STTI Affiliation:
Non-member
Author Details:
Lexie Scarborough Futrell, MSN, RN, CCRN, lexie.futrell@gmail.com; Kimberley A. Stunkard, RN; Erin Whitley, BSN, RN; Jessica Maples, BSN, RN; Jamie K. Roney, BSN, RN, CCRN; JoAnn D. Long, RN, PhD, NEA-BC;
Abstract:

Session presented on: Thursday, July 25, 2013

Purpose: Research was guided by Institute for Healthcare Improvement's Transforming Care at the Bedside framework. Evidence suggests clinical signs of patient deterioration may appear hours before life-threatening events occur.' Subtle changes may go undetected in hospitals contributing to an estimated 98,000 annual preventable deaths.' Previous research indicates the use of early warning scoring systems (EWSS) may decrease the incidence of cardiopulmonary arrest in the hospitalized patient if used to identify and treat the at-risk for deterioration individual.' Hospitals worldwide have adapted EWSS to address the problem; however, few prospective studies have reported reliability testing of modified instruments adapted to meet organizational needs.' The purpose of this study was to test the reliability of a modified early warning scoring (MEWS) tool adapted for a 1,005 bed acute care urban hospital without a current screening process to identify patients at-risk for deterioration. The purpose for this study was to identify whether utilizing four simulated patient scenarios would demonstrate reliability of the MEWS tool in scoring and following the associated algorithm.

Methods: Reliability testing of a developed MEWS tool in a mock hospital low-fidelity simulation setting with clinical data from septic hospitalized patients was used.'

Results: Reliability between total scores in each MEWS color in the simulated scenarios ranged from Green 88%, Yellow 92%, Orange 72%, and Red 76%. Analysis of the research question from a convenience sample of (n=25) nurses indicate the entire MEWS tool had a Cronbach's alpha level of 0.76.'

Conclusion: The reliability results are acceptable. Variance in results between the scenarios suggests that further education may be needed as patient complexity increases. The ultimate goal for the research team includes assurance that evidence-based practice measures are incorporated into the MEWS tool physiological assessment findings and associated algorithms to identify the at-risk for deterioration patient earlier, thus positively impacting mortality.

Keywords:
Early Warning Scoring Systems (EWSS); reliability testing; Modified Early Warning Scoring (MEWS)
Repository Posting Date:
22-Oct-2013
Date of Publication:
22-Oct-2013 ; 22-Oct-2013
Conference Date:
2013
Conference Name:
24th International Nursing Research Congress
Conference Host:
Sigma Theta Tau International, the Honor Society of Nursing
Conference Location:
Prague, Czech Republic
Description:
24th International Nursing Research Congress Theme: Bridge the Gap Between Research and Practice Through Collaboration. Held at the Hilton Prague Hotel.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen_GB
dc.language.isoenen
dc.type.categoryFull-texten
dc.typePresentationen
dc.titleReliability Testing of a Modified Early Warning Scoring (MEWS)en
dc.contributor.authorFutrell, Lexie Scarboroughen
dc.contributor.authorStunkard, Kimberley A.en
dc.contributor.authorWhitley, Erinen
dc.contributor.authorMaples, Jessicaen
dc.contributor.authorRoney, Jamie K.en
dc.contributor.authorLong, JoAnn D.en
dc.contributor.departmentNon-memberen
dc.author.detailsLexie Scarborough Futrell, MSN, RN, CCRN, lexie.futrell@gmail.com; Kimberley A. Stunkard, RN; Erin Whitley, BSN, RN; Jessica Maples, BSN, RN; Jamie K. Roney, BSN, RN, CCRN; JoAnn D. Long, RN, PhD, NEA-BC;en
dc.identifier.urihttp://hdl.handle.net/10755/304454-
dc.description.abstract<p>Session presented on: Thursday, July 25, 2013</p><b>Purpose:</b> Research was guided by Institute for Healthcare Improvement's <i>Transforming Care at the Bedside </i>framework. Evidence suggests clinical signs of patient deterioration may appear hours before life-threatening events occur.' Subtle changes may go undetected in hospitals contributing to an estimated 98,000 annual preventable deaths.' Previous research indicates the use of early warning scoring systems (EWSS) may decrease the incidence of cardiopulmonary arrest in the hospitalized patient if used to identify and treat the at-risk for deterioration individual.' Hospitals worldwide have adapted EWSS to address the problem; however, few prospective studies have reported reliability testing of modified instruments adapted to meet organizational needs.' The purpose of this study was to test the reliability of a modified early warning scoring (MEWS) tool adapted for a 1,005 bed acute care urban hospital without a current screening process to identify patients at-risk for deterioration. The purpose for this study was to identify whether utilizing four simulated patient scenarios would demonstrate reliability of the MEWS tool in scoring and following the associated algorithm. <p><b>Methods: </b>Reliability testing of a developed MEWS tool in a mock hospital low-fidelity simulation setting with clinical data from septic hospitalized patients was used.<b>' </b><p><b>Results: </b>Reliability between total scores in each MEWS color in the simulated scenarios ranged from Green 88%, Yellow 92%, Orange 72%, and Red 76%. Analysis of the research question from a convenience sample of (n=25) nurses indicate the entire MEWS tool had a Cronbach's alpha level of 0.76.' <p><b>Conclusion</b>: The reliability results are acceptable. Variance in results between the scenarios suggests that further education may be needed as patient complexity increases. The ultimate goal for the research team includes assurance that evidence-based practice measures are incorporated into the MEWS tool physiological assessment findings and associated algorithms to identify the at-risk for deterioration patient earlier, thus positively impacting mortality.en
dc.subjectEarly Warning Scoring Systems (EWSS)en
dc.subjectreliability testingen
dc.subjectModified Early Warning Scoring (MEWS)en
dc.date.available2013-10-22T20:36:13Z-
dc.date.issued2013-10-22-
dc.date.issued2013-10-22en
dc.date.accessioned2013-10-22T20:36:13Z-
dc.conference.date2013en
dc.conference.name24th International Nursing Research Congressen
dc.conference.hostSigma Theta Tau International, the Honor Society of Nursingen
dc.conference.locationPrague, Czech Republicen
dc.description24th International Nursing Research Congress Theme: Bridge the Gap Between Research and Practice Through Collaboration. Held at the Hilton Prague Hotel.en
All Items in this repository are protected by copyright, with all rights reserved, unless otherwise indicated.