Literature DB >> 11134263

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

Jeffrey C Fink1, Steven A Blahut1, Andrew E Briglia1, James F Gardner1, Paul D Light1.   

Abstract

Efforts to improve the delivery of hemodialysis have focused mostly on identifying patient-related factors that lead to inadequate dialysis. Less consideration has been given to the impact of the dialysis center on adequacy. This study evaluated whether the dialysis facility or individual-level factors were the primary influence on variations in dialysis adequacy. This was a retrospective analysis of 4971 hemodialysis patients in 189 centers with urea reduction ratio (URR) values obtained in the final quarter of 1997. The between-center variation and the within-center correlation in URR values were quantified to determine the contribution of a center effect on variations in adequacy; furthermore, the proportion of variance attributable to the centers' effect and individual-level dialysis covariates were compared. There was a wider between-center variation in mean URR values (SD, 4.8%) than expected if there were no center effect (SD, 2.5%). There was a strong within-center correlation in URR values, measured by the parameter rho, which was only minimally diminished after adjusting for individual-level covariates (adjusted rho, 0.14; P < 0.0001). The variation in URR attributable to the center effect, quantified by R(2), was greater than that related to individual-level dialysis factors (facility- and individual-level dialysis covariates R(2), 23.6 and 11.3%, respectively). Initiatives to improve the delivery of dialysis in patients with end-stage renal disease should be directed at facility policies governing dialysis care, along with patient-specific problems, because center effects have a major influence on dialysis adequacy.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11134263     DOI: 10.1681/ASN.V121164

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


  8 in total

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

Authors:  Navdeep Tangri; Hocine Tighiouart; Klemens B Meyer; Dana C Miskulin
Journal:  J Am Soc Nephrol       Date:  2011-10-24       Impact factor: 10.121

2.  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

3.  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

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.  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

7.  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

8.  Influence of safety warnings on ESA prescribing among dialysis patients using an interrupted time series.

Authors:  Mae Thamer; Yi Zhang; Dejian Lai; Onkar Kshirsagar; Dennis Cotter
Journal:  BMC Nephrol       Date:  2013-08-09       Impact factor: 2.388

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.