Literature DB >> 22025629

Both patient and facility contribute to achieving the Centers for Medicare and Medicaid Services' pay-for-performance target for dialysis adequacy.

Navdeep Tangri1, Hocine Tighiouart, Klemens B Meyer, Dana C Miskulin.   

Abstract

The Centers for Medicare and Medicaid Services (CMS) designated the achieved urea reduction ratio (URR) as a pay-for-performance measure, but to what extent this measure reflects patient characteristics and adherence instead of its intent to reflect facility performance is unknown. Here, we quantified the contributions of patient case-mix and adherence to the variability in achieving URR targets across dialysis facilities. We found that 92% of 10,069 hemodialysis patients treated at 173 facilities during the last quarter of 2004 achieved the target URR ≥65%. Mixed-effect models with random intercept for dialysis facility revealed a significant facility effect: 11.5% of the variation in achievement of target URR was attributable to the facility level. Adjusting for patient case-mix reduced the proportion of variation attributable to the facility level to 6.7%. Patient gender, body surface area, dialysis access, and adherence with treatment strongly associated with achievement of the URR target. We could not identify specific facility characteristics that explained the remaining variation between facilities. These data suggest that if adherence is not a modifiable patient characteristic, providers could be unfairly penalized for caring for these patients under current CMS policy. These penalties may have unintended consequences.

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Year:  2011        PMID: 22025629      PMCID: PMC3250211          DOI: 10.1681/ASN.2010111137

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  18 in total

Review 1.  Improving adequacy improves haemodialysis outcome.

Authors:  B Charra
Journal:  EDTNA ERCA J       Date:  2000 Jan-Mar

2.  Ethnic disparities in blood pressure management in patients with hypertension after the introduction of pay for performance.

Authors:  Christopher Millett; Jeremy Gray; Alex Bottle; Azeem Majeed
Journal:  Ann Fam Med       Date:  2008 Nov-Dec       Impact factor: 5.166

3.  Effect of center- versus patient-specific factors on variations in dialysis adequacy.

Authors:  Jeffrey C Fink; Steven A Blahut; Andrew E Briglia; James F Gardner; Paul D Light
Journal:  J Am Soc Nephrol       Date:  2001-01       Impact factor: 10.121

4.  Development of a comorbidity index using physician claims data.

Authors:  C N Klabunde; A L Potosky; J M Legler; J L Warren
Journal:  J Clin Epidemiol       Date:  2000-12       Impact factor: 6.437

5.  Within-center correlation in dialysis adequacy.

Authors:  J C Fink; J F Gardner; N C Armistead; M S Turner; P D Light
Journal:  J Clin Epidemiol       Date:  2000-01       Impact factor: 6.437

6.  Impact of pay for performance on ethnic disparities in intermediate outcomes for diabetes: a longitudinal study.

Authors:  Christopher Millett; Gopalakrishnan Netuveli; Sonia Saxena; Azeem Majeed
Journal:  Diabetes Care       Date:  2008-12-10       Impact factor: 19.112

7.  Pay for performance in commercial HMOs.

Authors:  Meredith B Rosenthal; Bruce E Landon; Sharon-Lise T Normand; Richard G Frank; Arnold M Epstein
Journal:  N Engl J Med       Date:  2006-11-02       Impact factor: 91.245

8.  Assessing comorbidity using claims data: an overview.

Authors:  Carrie N Klabunde; Joan L Warren; Julie M Legler
Journal:  Med Care       Date:  2002-08       Impact factor: 2.983

9.  Is there "cherry picking" in the ESRD Program? Perceptions from a Dialysis Provider Survey.

Authors:  Amar A Desai; Roger Bolus; Allen Nissenson; Glenn M Chertow; Sally Bolus; Matthew D Solomon; Osman S Khawar; Jennifer Talley; Brennan M R Spiegel
Journal:  Clin J Am Soc Nephrol       Date:  2009-04-01       Impact factor: 8.237

10.  Pay-for-performance programs in family practices in the United Kingdom.

Authors:  Tim Doran; Catherine Fullwood; Hugh Gravelle; David Reeves; Evangelos Kontopantelis; Urara Hiroeh; Martin Roland
Journal:  N Engl J Med       Date:  2006-07-27       Impact factor: 91.245

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  9 in total

1.  Rethinking Thirty-Day Hospital Readmissions: Shorter Intervals Might Be Better Indicators Of Quality Of Care.

Authors:  David L Chin; Heejung Bang; Raj N Manickam; Patrick S Romano
Journal:  Health Aff (Millwood)       Date:  2016-10-01       Impact factor: 6.301

2.  Initial Home Dialysis Is Increased for Rural Patients by Accessing Urban Facilities.

Authors:  Joel T Adler; S Ali Husain; Lingwei Xiang; James R Rodrigue; Sushrut S Waikar
Journal:  Kidney360       Date:  2022-01-04

Review 3.  Building on evidence to improve patient care.

Authors:  Evelien Snauwaert; Johan VandeWalle; Evi V Nagler; Wim Van Biesen
Journal:  Pediatr Nephrol       Date:  2016-12-09       Impact factor: 3.714

4.  Variation in the level of eGFR at dialysis initiation across dialysis facilities and geographic regions.

Authors:  Manish M Sood; Braden Manns; Allison Dart; Brett Hiebert; Joanne Kappel; Paul Komenda; Anita Molzahn; David Naimark; Sharon Nessim; Claudio Rigatto; Steven Soroka; Michael Zappitelli; Navdeep Tangri
Journal:  Clin J Am Soc Nephrol       Date:  2014-09-23       Impact factor: 8.237

5.  Variation in dialysis quality measures by facility, neighborhood, and region.

Authors:  Milda R Saunders; Marshall H Chin
Journal:  Med Care       Date:  2013-05       Impact factor: 2.983

6.  Geographic and facility-level variation in the use of peritoneal dialysis in Canada: a cohort study.

Authors:  Manish M Sood; Navdeep Tangri; Brett Hiebert; Joanne Kappel; Allison Dart; Adeera Levin; Braden Manns; Anita Molzahn; David Naimark; Sharon J Nessim; Claudio Rigatto; Steven D Soroka; Michael Zappitelli; Paul Komenda
Journal:  CMAJ Open       Date:  2014-03-27

7.  Comparative effectiveness studies to improve clinical outcomes in end stage renal disease: the DEcIDE patient outcomes in end stage renal disease study.

Authors:  L Ebony Boulware; Navdeep Tangri; Patti L Ephraim; Julia J Scialla; Stephen M Sozio; Deidra C Crews; Tariq Shafi; Dana C Miskulin; Jiannong Liu; Wendy St Peter; Bernard G Jaar; Albert W Wu; Neil R Powe; Sankar D Navaneethan; Karen Bandeen-Roche
Journal:  BMC Nephrol       Date:  2012-12-06       Impact factor: 2.388

8.  Geographic and facility variation in initial use of non-tunneled catheters for incident maintenance hemodialysis patients.

Authors:  Edward G Clark; Ayub Akbari; Brett Hiebert; Swapnil Hiremath; Paul Komenda; Charmaine E Lok; Louise M Moist; Michael E Schachter; Navdeep Tangri; Manish M Sood
Journal:  BMC Nephrol       Date:  2016-02-27       Impact factor: 2.388

9.  Health self-assessment by hemodialysis patients in the Brazilian Unified Health System.

Authors:  Tiago Ricardo Moreira; Luana Giatti; Cibele Comini Cesar; Eli Iola Gurgel Andrade; Francisco de Assis Acurcio; Mariângela Leal Cherchiglia
Journal:  Rev Saude Publica       Date:  2016-05-03       Impact factor: 2.106

  9 in total

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