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
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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
STARS Citation
Lima, Clelia, "Identifying Patients At Risk For Obstructive Sleep Apnea In Primary Health Care : Can Obesity In Combination With Other High-risk Diagnoses Be Used For Screening Purposes?" (2011). Electronic Theses and Dissertations. 2073.
https://stars.library.ucf.edu/etd/2073