Literature DB >> 34858123

THE PREVALENCE OF INSOMNIA AND SLEEP APNEA IN DISCHARGE ABSTRACT DATA: A CALL TO IMPROVE DATA QUALITY.

E Danielle, R N Fox, Natalie Wiebe, Danielle A Southern, Hude Quan, Ellena Kim, Chris King, Olga Grosu, Cathy A Eastwood.   

Abstract

Insomnia and sleep apnea are associated with a variety of comorbid conditions and carry a symptom burden to patients. As the prevalence of insomnia and sleep apnea continue to rise, it is imperative that appropriate tools are implemented to accurately capture their prevalence in acute care settings. A retrospective chart review was conducted on 3,074 inpatient charts in Calgary, Alberta. The estimated prevalence of insomnia was 10.36 percent, and sleep apnea was 6.56 percent in inpatient visits between January 1, 2015, and June 30, 2015. The sensitivity of insomnia and sleep apnea were low, and the specificity was high when comparing the chart review to the ICD-10. As both insomnia and sleep apnea were associated with various comorbid conditions, it would be imperative that alternate methods are identified to capture and code them. This would enable clinicians to better identify and treat them, and ultimately improve patient care.
Copyright © 2021 by the American Health Information Management Association.

Entities:  

Keywords:  ICD-10; acute care; hospital abstract discharge data; insomnia; sleep apnea; sleep disorders

Mesh:

Year:  2021        PMID: 34858123      PMCID: PMC8580457     

Source DB:  PubMed          Journal:  Perspect Health Inf Manag        ISSN: 1559-4122


  36 in total

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3.  Prevalence, pharmacotherapy and clinical correlates of diagnosed insomnia among Veterans Health Administration service users nationally.

Authors:  Eric Hermes; Robert Rosenheck
Journal:  Sleep Med       Date:  2014-02-08       Impact factor: 3.492

4.  Measuring diagnoses: ICD code accuracy.

Authors:  Kimberly J O'Malley; Karon F Cook; Matt D Price; Kimberly Raiford Wildes; John F Hurdle; Carol M Ashton
Journal:  Health Serv Res       Date:  2005-10       Impact factor: 3.402

5.  Use of electronic data and existing screening tools to identify clinically significant obstructive sleep apnea.

Authors:  Carl A Severson; Sachin R Pendharkar; Paul E Ronksley; Willis H Tsai
Journal:  Can Respir J       Date:  2015-06-17       Impact factor: 2.409

6.  Increased prevalence of sleep-disordered breathing in adults.

Authors:  Paul E Peppard; Terry Young; Jodi H Barnet; Mari Palta; Erika W Hagen; Khin Mae Hla
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7.  The effect of sex and age on the comorbidity burden of OSA: an observational analysis from a large nationwide US health claims database.

Authors:  Babak Mokhlesi; Sandra A Ham; David Gozal
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8.  The direct and indirect costs of untreated insomnia in adults in the United States.

Authors:  Ronald J Ozminkowski; Shaohung Wang; James K Walsh
Journal:  Sleep       Date:  2007-03       Impact factor: 5.849

9.  A qualitative evaluation of clinically coded data quality from health information manager perspectives.

Authors:  Chelsea Doktorchik; Mingshan Lu; Hude Quan; Cathy Ringham; Cathy Eastwood
Journal:  Health Inf Manag       Date:  2019-07-08       Impact factor: 3.185

10.  Obesity hypoventilation syndrome: prevalence and predictors in patients with obstructive sleep apnea.

Authors:  Babak Mokhlesi; Aiman Tulaimat; Ilja Faibussowitsch; Yue Wang; Arthur T Evans
Journal:  Sleep Breath       Date:  2007-06       Impact factor: 2.655

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  1 in total

1.  Use and limitations of databases and big data in sleep-disordered breathing research.

Authors:  Karin G Johnson; Douglas C Johnson; Stephen Derose
Journal:  J Clin Sleep Med       Date:  2022-03-01       Impact factor: 4.062

  1 in total

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