Literature DB >> 18066380

Using MedPAR data as a measure of urinary tract infection rates: implications for the Medicare inpatient DRG payment system.

Jerry Stringham1, Nancy Young.   

Abstract

A valuable metric of hospital performance is the rate of nosocomial infections, particularly urinary tract infections (UTIs). Current measurement techniques are expensive to administer and are not widely available. Determining a measurement index of nosocomial UTI incidence using Medicare Provider Analysis and Review (MedPAR) data to make recommendations may better align hospital payment with delivery of quality healthcare. There is significant variation among hospitals' calculated nosocomial UTI rates. In a sample hospital, the hospital received an estimated $675,000 in additional payments from Medicare due to payments for secondary nosocomial UTIs. The Comparative MedPAR Nosocomial UTI Index is a meaningful tool for determining nosocomial UTI rates as a measure of hospital quality. Additional improvements to the tool include incorporating risk factors based upon initial diagnosis, Major Diagnostic Category (MDC), and other diagnoses. Patients would benefit if the Centers for Medicare and Medicaid Services (CMS) discontinued the practice of paying hospitals for hospital-acquired infections, as this practice discourages adoption of infection-reducing initiatives.

Entities:  

Keywords:  MedPAR Claims Analysis; Nosocomial UTI; Quality Measurement

Year:  2005        PMID: 18066380      PMCID: PMC2047312     

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


  8 in total

Review 1.  In-hospital complication occurrence as a screen for quality-of-care problems: what's next?

Authors:  J M Geraci
Journal:  Med Care       Date:  2000-08       Impact factor: 2.983

2.  Identification of in-hospital complications from claims data. Is it valid?

Authors:  A G Lawthers; E P McCarthy; R B Davis; L E Peterson; R H Palmer; L I Iezzoni
Journal:  Med Care       Date:  2000-08       Impact factor: 2.983

3.  International Classification of Diseases, 9th Revision, Clinical Modification codes in discharge abstracts are poor measures of complication occurrence in medical inpatients.

Authors:  J M Geraci; C M Ashton; D H Kuykendall; M L Johnson; L Wu
Journal:  Med Care       Date:  1997-06       Impact factor: 2.983

4.  Nurse-staffing levels and the quality of care in hospitals.

Authors:  Jack Needleman; Peter Buerhaus; Soeren Mattke; Maureen Stewart; Katya Zelevinsky
Journal:  N Engl J Med       Date:  2002-05-30       Impact factor: 91.245

5.  Use of administrative data to find substandard care: validation of the complications screening program.

Authors:  S N Weingart; L I Iezzoni; R B Davis; R H Palmer; M Cahalane; M B Hamel; K Mukamal; R S Phillips; D T Davies; N J Banks
Journal:  Med Care       Date:  2000-08       Impact factor: 2.983

6.  A randomized crossover study of silver-coated urinary catheters in hospitalized patients.

Authors:  T B Karchmer; E T Giannetta; C A Muto; B A Strain; B M Farr
Journal:  Arch Intern Med       Date:  2000-11-27

7.  Measuring hospital quality: can medicare data substitute for all-payer data?

Authors:  Jack Needleman; Peter I Buerhaus; Soeren Mattke; Maureen Stewart; Katya Zelevinsky
Journal:  Health Serv Res       Date:  2003-12       Impact factor: 3.402

8.  The efficacy of silver alloy-coated urinary catheters in preventing urinary tract infection: a meta-analysis.

Authors:  S Saint; J G Elmore; S D Sullivan; S S Emerson; T D Koepsell
Journal:  Am J Med       Date:  1998-09       Impact factor: 4.965

  8 in total

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