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Using the Electronic Medical Record to Improve Preoperative Identification of Patients at Risk for Obstructive Sleep Apnea.

Authors :
Stubberud AB
Moon RE
Morgan BT
Goode VM
Source :
Journal of perianesthesia nursing : official journal of the American Society of PeriAnesthesia Nurses [J Perianesth Nurs] 2019 Feb; Vol. 34 (1), pp. 51-59. Date of Electronic Publication: 2018 Jul 17.
Publication Year :
2019

Abstract

Purpose: Obstructive sleep apnea (OSA) is a breathing disorder found in surgical patients and associated with complications in the postoperative period. The implementation of a preoperative universal screening process using the STOP-BANG questionnaire to identify patients at high risk for OSA provides opportunities for improved management.<br />Design: A pre-post design was used to evaluate screening compliance rates.<br />Methods: This initiative included staff education, which included the process for evaluating and documenting STOP-BANG scores. The data were collected via a chart review of the electronic medical record (EMR).<br />Findings: The rate of screening for OSA doubled after implementation of this initiative, and compliance with STOP-BANG questionnaire screening was 66.1%. High-risk designation in the EMR was 73.0%. Nearly half of the patients screened were found to be at high risk for OSA.<br />Conclusions: Implementation of a universal screening initiative for patients and design for the EMR improves compliance with screening and identification of patients at high risk for OSA.<br /> (Copyright © 2018 American Society of PeriAnesthesia Nurses. Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1532-8473
Volume :
34
Issue :
1
Database :
MEDLINE
Journal :
Journal of perianesthesia nursing : official journal of the American Society of PeriAnesthesia Nurses
Publication Type :
Academic Journal
Accession number :
30025663
Full Text :
https://doi.org/10.1016/j.jopan.2018.04.002