Literature DB >> 19194330

Identification of hospital-acquired catheter-associated urinary tract infections from Medicare claims: sensitivity and positive predictive value.

Chunliu Zhan1, Anne Elixhauser, Chesley L Richards, Yun Wang, William B Baine, Michael Pineau, Nancy Verzier, Rebecca Kliman, David Hunt.   

Abstract

BACKGROUND AND
OBJECTIVE: Hospital-acquired catheter-associated urinary tract infection (CAUTI) is one of the first 6 conditions Medicare is targeting to reduce payment associated with hospital-acquired conditions under Congressional mandate. This study was to determine the positive predictive value (PPV) and sensitivity in identifying patients in Medicare claims who had urinary catheterization and who had hospital-acquired CAUTIs. RESEARCH
DESIGN: CAUTIs identified by ICD-9-CM codes in Medicare claims were compared with those revealed by medical record abstraction in random samples of Medicare discharges in 2005 to 2006. Hospital discharge abstracts (2005) from the states of New York and California were used to estimate the potential impact of a present-on-admission (POA) indicator on PPV.
RESULTS: ICD-9-CM procedure codes for urinary catheterization appeared in only 1.4% of Medicare claims for patients who had urinary catheters. As a proxy, claims with major surgery had a PPV of 75% and sensitivity of 48%, and claims with any surgical procedure had a PPV of 53% and sensitivity of 79% in identifying urinary catheterization. The PPV and sensitivity for identifying hospital-acquired CAUTIs varied, with the PPV at 30% and sensitivity at 65% in claims with major surgery. About 80% of the secondary diagnosis codes indicating UTIs were flagged as POA, suggesting that the addition of POA indicators in Medicare claims would increase PPV up to 86% and sensitivity up to 79% in identifying hospital-acquired CAUTIs.
CONCLUSIONS: The validity in identifying urinary catheter use and CAUTIs from Medicare claims is limited, but will be increased substantially upon addition of a POA indicator.

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Mesh:

Year:  2009        PMID: 19194330     DOI: 10.1097/MLR.0b013e31818af83d

Source DB:  PubMed          Journal:  Med Care        ISSN: 0025-7079            Impact factor:   2.983


  19 in total

1.  Adoption of policies to prevent catheter-associated urinary tract infections in United States intensive care units.

Authors:  Laurie J Conway; Monika Pogorzelska; Elaine Larson; Patricia W Stone
Journal:  Am J Infect Control       Date:  2012-02-07       Impact factor: 2.918

2.  A comparison of methods to detect urinary tract infections using electronic data.

Authors:  Timothy Landers; Mandar Apte; Sandra Hyman; Yoko Furuya; Sherry Glied; Elaine Larson
Journal:  Jt Comm J Qual Patient Saf       Date:  2010-09

3.  The Medicare policy of payment adjustment for health care-associated infections: perspectives on potential unintended consequences.

Authors:  Christine W Hartmann; Timothy Hoff; Jennifer A Palmer; Peter Wroe; M Maya Dutta-Linn; Grace Lee
Journal:  Med Care Res Rev       Date:  2011-08-01       Impact factor: 3.929

4.  Medicare non-payment of hospital-acquired infections: infection rates three years post implementation.

Authors:  Samuel K Peasah; Niccie L McKay; Jeffrey S Harman; Mona Al-Amin; Robert L Cook
Journal:  Medicare Medicaid Res Rev       Date:  2013-09-25

5.  Validity and Reliability of Administrative Coded Data for the Identification of Hospital-Acquired Infections: An Updated Systematic Review with Meta-Analysis and Meta-Regression Analysis.

Authors:  Olga Redondo-González; José María Tenías; Ángel Arias; Alfredo J Lucendo
Journal:  Health Serv Res       Date:  2017-04-11       Impact factor: 3.402

6.  Enhancing Medicare's hospital-acquired conditions policy to encompass readmissions.

Authors:  Peter D McNair; Harold S Luft
Journal:  Medicare Medicaid Res Rev       Date:  2012-06-01

7.  Identification of postoperative complications using electronic health record data and machine learning.

Authors:  Michael Bronsert; Abhinav B Singh; William G Henderson; Karl Hammermeister; Robert A Meguid; Kathryn L Colborn
Journal:  Am J Surg       Date:  2019-10-09       Impact factor: 2.565

Review 8.  Guidelines to prevent catheter-associated urinary tract infection: 1980 to 2010.

Authors:  Laurie J Conway; Elaine L Larson
Journal:  Heart Lung       Date:  2011-09-17       Impact factor: 2.210

9.  Combining structured and unstructured data to identify a cohort of ICU patients who received dialysis.

Authors:  Swapna Abhyankar; Dina Demner-Fushman; Fiona M Callaghan; Clement J McDonald
Journal:  J Am Med Inform Assoc       Date:  2014-01-02       Impact factor: 4.497

10.  Medical complications in patients with stroke: data validity in a stroke registry and a hospital discharge registry.

Authors:  Annette Ingeman; Grethe Andersen; Heidi H Hundborg; Søren P Johnsen
Journal:  Clin Epidemiol       Date:  2010-08-09       Impact factor: 4.790

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