Prediction of Severe Postoperative Pain: Modification and Validation of a Clinical Prediction Tool

2.50
Hdl Handle:
http://hdl.handle.net/10755/622922
Category:
Full-text
Format:
Text-based Document
Type:
Presentation
Level of Evidence:
N/A
Research Approach:
N/A
Title:
Prediction of Severe Postoperative Pain: Modification and Validation of a Clinical Prediction Tool
Other Titles:
Tools in Health Promotion
Author(s):
Hauglum, Shayne D.
Lead Author STTI Affiliation:
Beta Tau
Author Details:
Shayne D. Hauglum, PhD, MSNA Nurse Anesthesia Program, University of Miami School of Nursing and Health Studies, Coral Gables, Florida, USA
Abstract:

Pre-operatively predicting patients at risk for severe postoperative pain may improve postoperative pain management, patient outcomes, and patient satisfaction. This study shows severe postoperative pain can be predicted through the use of a simple modified validated prediction equation.

Keywords:
Severe Pain; Postoperative; Prediction Tool
Repository Posting Date:
2-Oct-2017
Date of Publication:
2-Oct-2017
Other Identifiers:
CONV17K02
Conference Date:
2017
Conference Name:
44th Biennial Convention
Conference Host:
Sigma Theta Tau International, the Honor Society of Nursing
Conference Location:
Indianapolis, Indiana, USA
Description:
44th Biennial Convention 2017 Theme: Influence Through Action: Advancing Global Health, Nursing, and Midwifery.

Full metadata record

DC FieldValue Language
dc.language.isoen_USen
dc.type.categoryFull-texten
dc.formatText-based Documenten
dc.typePresentationen
dc.evidence.levelN/Aen
dc.research.approachN/Aen
dc.titlePrediction of Severe Postoperative Pain: Modification and Validation of a Clinical Prediction Toolen_US
dc.title.alternativeTools in Health Promotionen
dc.contributor.authorHauglum, Shayne D.en
dc.contributor.departmentBeta Tauen
dc.author.detailsShayne D. Hauglum, PhD, MSNA Nurse Anesthesia Program, University of Miami School of Nursing and Health Studies, Coral Gables, Florida, USAen
dc.identifier.urihttp://hdl.handle.net/10755/622922-
dc.description.abstract<p><span>Pre-operatively predicting patients at risk for severe postoperative pain may improve postoperative pain management, patient outcomes, and patient satisfaction. This study shows severe postoperative pain can be predicted through the use of a simple modified validated prediction equation.</span></p>en
dc.subjectSevere Painen
dc.subjectPostoperativeen
dc.subjectPrediction Toolen
dc.date.available2017-10-02T14:18:35Z-
dc.date.issued2017-10-02-
dc.date.accessioned2017-10-02T14:18:35Z-
dc.conference.date2017en
dc.conference.name44th Biennial Conventionen
dc.conference.hostSigma Theta Tau International, the Honor Society of Nursingen
dc.conference.locationIndianapolis, Indiana, USAen
dc.description44th Biennial Convention 2017 Theme: Influence Through Action: Advancing Global Health, Nursing, and Midwifery.en
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