Literature DB >> 26015277

Comorbidity ascertainment from the ESRD Medical Evidence Report and Medicare claims around dialysis initiation: a comparison using US Renal Data System data.

Mahesh Krishnan1, Eric D Weinhandl2, Scott Jackson3, David T Gilbertson3, Eduardo Lacson4.   

Abstract

BACKGROUND: The end-stage renal disease Medical Evidence Report serves as a source of comorbid condition data for risk adjustment of quality metrics. We sought to compare comorbid condition data in the Medical Evidence Report around dialysis therapy initiation with diagnosis codes in Medicare claims. STUDY
DESIGN: Observational cohort study using US Renal Data System data. SETTING & PARTICIPANTS: Medicare-enrolled elderly (≥66 years) patients who initiated maintenance dialysis therapy July 1 to December 31, 2007, 2008, or 2009. INDEX TESTS: 12 comorbid conditions ascertained from claims during the 6 months before dialysis therapy initiation, the Medical Evidence Report, and claims during the 3 months after dialysis therapy initiation. REFERENCE TEST: None.
RESULTS: Comorbid condition prevalence according to claims before dialysis therapy initiation generally exceeded prevalence according to the Medical Evidence Report. The κ statistics for comorbid condition designations other than diabetes ranged from 0.06 to 0.43. Discordance of designations was associated with age, race, sex, and end-stage renal disease Network. During 23,930 patient-years of follow-up from 4 to 12 months after dialysis therapy initiation (8,930 deaths), designations from claims during the 3 months after initiation better discriminated risk of death than designations from the Medical Evidence Report (C statistics of 0.674 vs 0.616). Between the Medical Evidence Report and claims, standardized mortality ratios changed by >10% for more than half the dialysis facilities. LIMITATIONS: Neither the Medical Evidence Report nor diagnosis codes in claims constitute a gold standard of comorbid condition data; results may not apply to nonelderly patients or patients without Medicare coverage.
CONCLUSIONS: Discordance of comorbid condition designations from the Medical Evidence Report and claims around dialysis therapy initiation was substantial and significantly associated with patient characteristics, including location. These patterns may engender bias in risk-adjusted quality metrics. In lieu of the Medical Evidence Report, claims during the 3 months after dialysis therapy initiation may constitute a useful source of comorbid condition data.
Copyright © 2015 National Kidney Foundation, Inc. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CMS 2728; CMS quality metrics; Medical Evidence Report; Medicare claims; US Renal Data System (USRDS); comorbid conditions; comorbidity ascertainment; data discordance; diagnosis codes; dialysis information systems; dialysis initiation; end-stage renal disease (ESRD); misclassification; renal replacement therapy (RRT)

Mesh:

Year:  2015        PMID: 26015277     DOI: 10.1053/j.ajkd.2015.04.015

Source DB:  PubMed          Journal:  Am J Kidney Dis        ISSN: 0272-6386            Impact factor:   8.860


  14 in total

1.  Kidney Transplantation Outcomes across GN Subtypes in the United States.

Authors:  Michelle M O'Shaughnessy; Sai Liu; Maria E Montez-Rath; Colin R Lenihan; Richard A Lafayette; Wolfgang C Winkelmayer
Journal:  J Am Soc Nephrol       Date:  2016-07-18       Impact factor: 10.121

2.  Medicare Advantage Ratings And Voluntary Disenrollment Among Patients With End-Stage Renal Disease.

Authors:  Qijuan Li; Amal N Trivedi; Omar Galarraga; Michael E Chernew; Daniel E Weiner; Vincent Mor
Journal:  Health Aff (Millwood)       Date:  2018-01       Impact factor: 6.301

Review 3.  ESRD Databases, Public Policy, and Quality of Care: Translational Medicine and Nephrology.

Authors:  William M McClellan; Laura C Plantinga; Adam S Wilk; Rachel E Patzer
Journal:  Clin J Am Soc Nephrol       Date:  2016-11-16       Impact factor: 8.237

4.  Health Insurance and the Use of Peritoneal Dialysis in the United States.

Authors:  Jose J Perez; Bo Zhao; Samaya Qureshi; Wolfgang C Winkelmayer; Kevin F Erickson
Journal:  Am J Kidney Dis       Date:  2017-12-23       Impact factor: 8.860

5.  Safety of Dynamic Intravenous Iron Administration Strategies in Hemodialysis Patients.

Authors:  Xiaojuan Li; Stephen R Cole; Abhijit V Kshirsagar; Jason P Fine; Til Stürmer; M Alan Brookhart
Journal:  Clin J Am Soc Nephrol       Date:  2019-04-15       Impact factor: 8.237

6.  Nephrologists' Perspectives on Defining and Applying Patient-Centered Outcomes in Hemodialysis.

Authors:  Allison Tong; Wolfgang C Winkelmayer; David C Wheeler; Wim van Biesen; Peter Tugwell; Braden Manns; Brenda Hemmelgarn; Tess Harris; Sally Crowe; Angela Ju; Emma O'Lone; Nicole Evangelidis; Jonathan C Craig
Journal:  Clin J Am Soc Nephrol       Date:  2017-02-21       Impact factor: 8.237

7.  Hurricanes and Mortality among Patients Receiving Dialysis.

Authors:  Matthew F Blum; Yijing Feng; G Brooke Anderson; Dorry L Segev; Mara McAdams-DeMarco; Morgan E Grams
Journal:  J Am Soc Nephrol       Date:  2022-07-14       Impact factor: 14.978

8.  Transplantation Mediates Much of the Racial Disparity in Survival from Childhood-Onset Kidney Failure.

Authors:  Adan Z Becerra; Kevin E Chan; Paul W Eggers; Jenna Norton; Paul L Kimmel; Ivonne H Schulman; Susan R Mendley
Journal:  J Am Soc Nephrol       Date:  2022-01-25       Impact factor: 14.978

Review 9.  Functional and Cognitive Impairment, Frailty, and Adverse Health Outcomes in Older Patients Reaching ESRD-A Systematic Review.

Authors:  Marije H Kallenberg; Hilda A Kleinveld; Friedo W Dekker; Barbara C van Munster; Ton J Rabelink; Marjolijn van Buren; Simon P Mooijaart
Journal:  Clin J Am Soc Nephrol       Date:  2016-06-24       Impact factor: 8.237

10.  Persistent Variation in Medicare Payment Authorization for Home Hemodialysis Treatments.

Authors:  Adam S Wilk; Richard A Hirth; Wei Zhang; John R C Wheeler; Marc N Turenne; Tammie A Nahra; Kathryn K Sleeman; Joseph M Messana
Journal:  Health Serv Res       Date:  2017-01-19       Impact factor: 3.734

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.