Literature DB >> 16732194

Associations between CMS's Clinical Performance Measures project benchmarks, profit structure, and mortality in dialysis units.

L A Szczech1, P S Klassen, B Chua, S S Hedayati, M Flanigan, W M McClellan, D N Reddan, R A Rettig, D L Frankenfield, W F Owen.   

Abstract

Prior studies observing greater mortality in for-profit dialysis units have not captured information about benchmarks of care. This study was undertaken to examine the association between profit status and mortality while achieving benchmarks. Utilizing data from the US Renal Data System and the Centers for Medicare & Medicaid Services' end-stage renal disease (ESRD) Clinical Performance Measures project, hemodialysis units were categorized as for-profit or not-for-profit. Associations with mortality at 1 year were estimated using Cox regression. Two thousand six hundred and eighty-five dialysis units (31,515 patients) were designated as for-profit and 1018 (15,085 patients) as not-for-profit. Patients in for-profit facilities were more likely to be older, black, female, diabetic, and have higher urea reduction ratio (URR), hematocrit, serum albumin, and transferrin saturation. Patients (19.4 and 18.6%) in for-profit and not-for-profit units died, respectively. In unadjusted analyses, profit status was not associated with mortality (hazard ratio (HR)=1.04, P=0.09). When added to models with profit status, the following resulted in a significant association between profit status (for-profit vs not-for-profit) and increasing mortality risk: URR, hematocrit, albumin, and ESRD Network. In adjusted models, patients in for-profit facilities had a greater death risk (HR 1.09, P=0.004). More patients in for-profit units met clinical benchmarks. Survival among patients in for-profit units was similar to not-for-profit units. This suggests that in the contemporary era, interventions in for-profit dialysis units have not impaired their ability to deliver performance benchmarks and do not affect survival.

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Year:  2006        PMID: 16732194     DOI: 10.1038/sj.ki.5000267

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  10 in total

Review 1.  End-stage renal disease and economic incentives: the International Study of Health Care Organization and Financing (ISHCOF).

Authors:  Avi Dor; Mark V Pauly; Margaret A Eichleay; Philip J Held
Journal:  Int J Health Care Finance Econ       Date:  2007-09

2.  The effect of dialysis chains on mortality among patients receiving hemodialysis.

Authors:  Yi Zhang; Dennis J Cotter; Mae Thamer
Journal:  Health Serv Res       Date:  2010-12-09       Impact factor: 3.402

3.  Relationship among length of facility ownership, clinical performance, and mortality.

Authors:  David Van Wyck; John Robertson; Allen Nissenson; Robert Provenzano; Dennis Kogod
Journal:  Clin J Am Soc Nephrol       Date:  2009-12-10       Impact factor: 8.237

4.  Organizational status of dialysis facilities and patient outcome: does higher injectable medication use mediate increased mortality?

Authors:  Yi Zhang; Mae Thamer; Onkar Kshirsagar; Dennis J Cotter
Journal:  Health Serv Res       Date:  2012-12-06       Impact factor: 3.402

5.  Patient care staffing levels and facility characteristics in U.S. hemodialysis facilities.

Authors:  Laura A G Yoder; Wenjun Xin; Keith C Norris; Guofen Yan
Journal:  Am J Kidney Dis       Date:  2013-06-28       Impact factor: 8.860

6.  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

7.  Facility size, race and ethnicity, and mortality for in-center hemodialysis.

Authors:  Guofen Yan; Keith C Norris; Wenjun Xin; Jennie Z Ma; Alison J Yu; Tom Greene; Wei Yu; Alfred K Cheung
Journal:  J Am Soc Nephrol       Date:  2013-08-22       Impact factor: 10.121

8.  Evaluating national trends in outcomes after implementation of a star rating system: Results from dialysis facility compare.

Authors:  Stephen Salerno; Claudia Dahlerus; Joseph Messana; Karen Wisniewski; Lan Tong; Richard A Hirth; Jordan Affholter; Garrett Gremel; YiFan Wu; Ji Zhu; Jesse Roach; Elena Balovlenkov Rn; Joel Andress; Yi Li
Journal:  Health Serv Res       Date:  2020-11-12       Impact factor: 3.734

9.  Confounders of mortality and hospitalization rate calculations for profit and nonprofit dialysis facilities: analytic augmentation.

Authors:  Steven M Brunelli; Steven Wilson; Mahesh Krishnan; Allen R Nissenson
Journal:  BMC Nephrol       Date:  2014-07-21       Impact factor: 2.388

10.  Comparative mortality of hemodialysis patients at for-profit and not-for-profit dialysis facilities in the United States, 1998 to 2003: a retrospective analysis.

Authors:  Robert N Foley; Qiao Fan; Jiannong Liu; David T Gilbertson; Eric D Weinhandl; Shu-Cheng Chen; Allan J Collins
Journal:  BMC Nephrol       Date:  2008-06-26       Impact factor: 2.388

  10 in total

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