Keywords

High risk diagnoses, Primary care, Screening, Sleep apnea

Abstract

Obstructive sleep apnea (OSA) affects about 15 million adults in the United States, and is an independent risk factor for all-cause mortality. The under-diagnosing of OSA has been linked to the inadequate screening by primary care practitioners (PCPs). Existing screening tools are not widely used by PCPs possibly due to time constraints they experience as providers. This study demonstrates how common high-risk diagnoses (obesity, hypertension, diabetes mellitus type 2, dyslipidemia, arrhythmia, and coronary artery disease) can be used to help PCPs identify adult patients at risk for OSA. Unlike other screening tools, these diagnoses are easy to identify in a routine visit. This study was a retrospective chart review that used a random sample of 220 electronic health records. Seventy percent of the sample was positive for OSA, 69% had obesity, and 33% had two or more high-risk diagnoses. The setting of this study was six sleep centers located in five cities in Central Florida. Logistic regression was used to analyze the data to determine interaction among variables and odds ratios. The variables "obesity" and "two or more high-risk diagnoses" had significant effects on the likelihood of being diagnosed with OSA independently of each other (odds ratio of 4.2 and 4.3 respectively; p

Notes

If this is your thesis or dissertation, and want to learn how to access it or for more information about readership statistics, contact us at STARS@ucf.edu

Graduation Date

2011

Semester

Spring

Advisor

Norris, Anne E.

Degree

Doctor of Nursing Practice (D.N.P.)

College

College of Nursing

Department

Nursing

Degree Program

Nursing Practice

Format

application/pdf

Identifier

CFE0003620

URL

http://purl.fcla.edu/fcla/etd/CFE0003620

Language

English

Release Date

October 2012

Length of Campus-only Access

1 year

Access Status

Doctoral Dissertation (Open Access)

Subjects

Dissertations, Academic -- Other, Other -- Dissertations, Academic

Included in

Nursing Commons

Share

COinS