title: Quality of care and survival of haemodialysed patients in western Switzerland.
abstract: BACKGROUND
  Many factors affect survival in haemodialysis (HD) patients. Our aim was to study whether quality of clinical care may affect survival in this population, when adjusted for demographic characteristics and co-morbidities.
  
  
  METHODS
  We studied survival in 553 patients treated by chronic HD during March 2001 in 21 dialysis facilities in western Switzerland. Indicators of quality of care were established for anaemia control, calcium and phosphate product, serum albumin, pre-dialysis blood pressure (BP), type of vascular access and dialysis adequacy (spKt/V) and their baseline values were related to 3-year survival. The modified Charlson co-morbidity index (including age) and transplantation status were also considered as a predictor of survival.
  
  
  RESULTS
  Three-year survival was obtained for 96% of the patients; 39% (211/541) of these patients had died. The 3-year survival was 50, 62 and 69%, respectively, in patients who had 0-2, 3 and >or=4 fulfilled indicators of quality of care (test for linear trend, P < 0.001). In a Cox multivariate analysis model, the absence of transplantation, a higher modified Charlson's score, decreased fulfilment of indicators of good clinical care and low pre-dialysis systolic BP were independent predictors of death.
  
  
  CONCLUSIONS
  Good clinical care improves survival in HD patients, even after adjustment for availability of transplantation and co-morbidities.
authors.affiliation: Division of Nephrology, University Hospital, 1211 Geneva 14, Switzerland. Patrick.Saudan@hcuge.ch
authors.forename: Patrick
authors.initials: P
authors.lastname: Saudan
authors.forename: Michel
authors.initials: M
authors.lastname: Kossovsky
authors.forename: George
authors.initials: G
authors.lastname: Halabi
authors.forename: Pierre Y
authors.initials: PY
authors.lastname: Martin
authors.forename: Thomas V
authors.initials: TV
authors.lastname: Perneger
mesh_terms: D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D000704:Analysis of Variance; D002423:Cause of Death; D005260:Female; D006801:Humans; D053208:Kaplan-Meier Estimate; D007676:Kidney Failure, Chronic / Q000175:diagnosis / Q000401:mortality* / Q000628:therapy*; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D019984:Quality Indicators, Health Care; D011787:Quality of Health Care; D006435:Renal Dialysis / Q000379:methods / Q000401:mortality*; D012189:Retrospective Studies; D018570:Risk Assessment; D012720:Severity of Illness Index; D012737:Sex Factors; D018709:Statistics, Nonparametric; D016019:Survival Analysis; D013557:Switzerland / Q000453:epidemiology; D016896:Treatment Outcome