Literature DB >> 21383212

Identification by primary care clinicians of patients with obstructive sleep apnea: a practice-based research network (PBRN) study.

James W Mold1, Craig Quattlebaum, Eric Schinnerer, Lindsay Boeckman, William Orr, Kimberly Hollabaugh.   

Abstract

BACKGROUND: Obstructive sleep apnea (OSA) is a reasonably common disorder that is associated with daytime tiredness and a host of medical conditions. Little is known about how primary care clinicians (PCCs) detect, diagnose, and manage patients who have OSA.
METHODS: We gathered information from 44 randomly selected practices in 5 regional practice-based research networks. This included interviews with PCCs and sleep consultants, medical records abstraction, and patient surveys. Descriptive analyses of the quantitative data were used to describe the prevalence of sleep symptoms, the proportion of primary care patients at high risk for OSA, and the methods used by PCCs to detect and diagnose patients with OSA.
RESULTS: More than 90% of adult patients visiting a PCC on any given day are experiencing sleep-related symptoms. Based on their Berlin Questionnaire scores, more than one third are at high risk of having sleep apnea. However, most patients have not discussed their sleep-related symptoms with their PCC, and fewer than one third have sleep-related symptoms documented in their medical records. Very few PCCs routinely screen for OSA, and, despite using billing records, problem lists, clinician and staff recall, and prospective logs enhanced by waiting room posters, PCCs were generally unable to identify 25 patients with OSA in their practices.
CONCLUSIONS: A substantial proportion of patients who see PCCs regularly are at high risk for OSA. Very few of them are being diagnosed or treated. Clearer guidelines and a systematic approach are needed if this is indeed a problem that should be addressed.

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Year:  2011        PMID: 21383212     DOI: 10.3122/jabfm.2011.02.100095

Source DB:  PubMed          Journal:  J Am Board Fam Med        ISSN: 1557-2625            Impact factor:   2.657


  18 in total

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Authors:  Lucas M Donovan; Laura C Feemster; Edmunds M Udris; Matthew F Griffith; Laura J Spece; Brian N Palen; Ken He; Sairam Parthasarathy; Kingman P Strohl; Vishesh K Kapur; David H Au
Journal:  J Clin Sleep Med       Date:  2019-01-15       Impact factor: 4.062

2.  Are we ready for "unisomnography"?

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3.  Misclassification of OSA severity with automated scoring of home sleep recordings.

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4.  Big-Data or Slim-Data: Predictive Analytics Will Rule with World.

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Journal:  J Clin Sleep Med       Date:  2016-02       Impact factor: 4.062

5.  Feasibility of portable sleep monitors to detect obstructive sleep apnea (OSA) in a vulnerable urban population.

Authors:  Jillian Nickerson; Euny Lee; Michael Nedelman; R Nisha Aurora; Ana Krieger; Carol R Horowitz
Journal:  J Am Board Fam Med       Date:  2015 Mar-Apr       Impact factor: 2.657

6.  Sleep as a vital sign: why medical practitioners need to routinely ask their patients about sleep.

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9.  Fatal Consequences: Obstructive Sleep Apnea in a Train Engineer.

Authors:  Mary Pat McKay
Journal:  Ann Fam Med       Date:  2015-11       Impact factor: 5.166

10.  Differences in Symptoms and Severity of Obstructive Sleep Apnea between Black and White Patients.

Authors:  J Daryl Thornton; Katherine A Dudley; Gul Jana Saeed; Sheeja T Schuster; Amy Schell; James C Spilsbury; Sanjay R Patel
Journal:  Ann Am Thorac Soc       Date:  2022-02
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