Prediction of severe postoperative pain: Modification and validation of a clinical prediction tool

Other Titles

Tools in health promotion

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.

Description

44th Biennial Convention 2017 Theme: Influence Through Action: Advancing Global Health, Nursing, and Midwifery.

Authors

Shayne D. Hauglum

Author Details

Shayne D. Hauglum, PhD, MSNA, Nurse Anesthesia Program, University of Miami School of Nursing and Health Studies, Coral Gables, Florida, USA

Sigma Membership

Beta Tau

Lead Author Affiliation

University of Miami, Coral Gables, Florida, USA

Type

Presentation

Format Type

Text-based Document

Study Design/Type

N/A

Research Approach

N/A

Keywords:

Severe Pain, Postoperative, Prediction Tool

Recommended Citation

Hauglum, Shayne D., "Prediction of severe postoperative pain: Modification and validation of a clinical prediction tool" (2017). Convention. 178.
https://www.sigmarepository.org/convention/2017/presentations_2017/178

Conference Name

44th Biennial Convention

Conference Host

Sigma Theta Tau International

Conference Location

Indianapolis, Indiana, USA

Conference Year

2017

Rights Holder

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Acquisition

Proxy-submission