Literature DB >> 1637029

Variable mortality rates among dialysis treatment centers.

W M McClellan1, W D Flanders, R A Gutman.   

Abstract

OBJECTIVE: To examine the variation in the risk for mortality among patients treated at renal dialysis facilities within a defined geographic area.
SETTING: All free-standing and hospital-based dialysis facilities in a single southeastern state reported to the registry.
DESIGN: Cohort of dialysis patients followed for 1 year by an end-stage renal disease registry. PATIENTS: Patients (n = 3612) aged 20 years and older receiving treatment at the dialysis facilities reporting to the registry during 1987. MEASUREMENTS: Demographic, comorbid, and severity of illness indicators were abstracted from patient records. Facility-specific risk estimates were derived from a Cox proportional hazards model.
RESULTS: Facility-specific mortality rates ranged between 2.0 and 10.5 deaths per 10,000 patient days. Mortality rates were higher among older persons; whites; those with a history of diabetic nephropathy, angina, or congestive heart failure; and patients with either nutritional or functional status impairment. Facility-specific prevalence of each mortality risk factor varied widely. The unadjusted risk for death in a facility at the 75th percentile of risk was 1.3 times that of a facility at the median, whereas at the 25th percentile, it was 0.68 times as likely--a twofold range of risk. Controlling for differences in the prevalence of patient characteristics did not change the interquartile range in risks, and a facility's adjusted risk estimate showed a strong correlation with its unadjusted estimate (R2, 0.566; P less than 0.0001).
CONCLUSIONS: Patient attributes associated with increased risk for mortality vary widely among dialysis facilities. Adjustment for these differences did not, however, substantially change either the degree of variation in mortality risks or the relative ranking of a facility's mortality.

Entities:  

Mesh:

Year:  1992        PMID: 1637029     DOI: 10.7326/0003-4819-117-4-332

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  6 in total

1.  Dialysis practices that distinguish facilities with below- versus above-expected mortality.

Authors:  Brennan Spiegel; Roger Bolus; Amar A Desai; Philip Zagar; Tom Parker; John Moran; Matthew D Solomon; Osman Khawar; Matthew Gitlin; Jennifer Talley; Allen Nissenson
Journal:  Clin J Am Soc Nephrol       Date:  2010-09-28       Impact factor: 8.237

2.  How much better can we predict dialysis patient survival using clinical data?

Authors:  D E Mesler; S Byrne-Logan; E P McCarthy; A S Ash; M A Moskowitz
Journal:  Health Serv Res       Date:  1999-04       Impact factor: 3.402

3.  Diabetes, glycaemic control and mortality risk in patients on haemodialysis: the Japan Dialysis Outcomes and Practice Pattern Study.

Authors:  Y Hayashino; S Fukuhara; T Akiba; T Akizawa; Y Asano; A Saito; J L Bragg-Gresham; S P B Ramirez; F K Port; K Kurokawa
Journal:  Diabetologia       Date:  2007-03-29       Impact factor: 10.122

4.  Health-related quality of life predictors of survival and hospital utilization.

Authors:  G R Parkerson; R A Gutman
Journal:  Health Care Financ Rev       Date:  2000

5.  A data-driven approach to improving the care of in-center hemodialysis patients.

Authors:  W M McClellan; P R Frederick; S D Helgerson; R P Hayes; D J Ballard; M McMullan
Journal:  Health Care Financ Rev       Date:  1995

Review 6.  A systematic review of the impact of center volume in dialysis.

Authors:  Dawid Pieper; Tim Mathes; Mark Roger Marshall
Journal:  BMC Res Notes       Date:  2015-12-22
  6 in total

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