A practice-related risk score (PRS): a DOPPS-derived aggregate quality index for haemodialysis facilities.

BACKGROUND The Dialysis Outcomes and Practice Patterns Study (DOPPS) database was used to develop and validate a practice-related risk score (PRS) based on modifiable practices to help facilities assess potential areas for improving patient care. METHODS Relative risks (RRs) from a multivariable Cox mortality model, based on observational haemodialysis (HD) patient data from DOPPS I (1996-2001, seven countries), were used. The four practices were the percent of patients with Kt/V > or =1.2, haemoglobin > or =11 g/dl (110 g/l), albumin > or =4.0 g/dl (40g/l) and catheter use, and were significantly related to mortality when modelled together. DOPPS II data (2002-2004, 12 countries) were used to evaluate the relationship between PRS and mortality risk using Cox regression. RESULTS For facilities in DOPPS I and II, changes in PRS over time were significantly correlated with changes in the standardized mortality ratio (SMR). The PRS ranged from 1.0 to 2.1. Overall, the adjusted RR of death was 1.05 per 0.1 points higher PRS (P < 0.0001). For facilities in both DOPPS I and II (N = 119), a 0.2 decrease in PRS was associated with a 0.19 decrease in SMR (P = 0.005). On average, facilities that improved PRS practices showed significantly reduced mortality over the same time frame. CONCLUSIONS The PRS assesses modifiable HD practices that are linked to improved patient survival. Further refinements might lead to improvements in the PRS and will address regional variations in the PRS/mortality relationship.

[1]  M. Rocco,et al.  Relationship between Clinical Performance Measures and Outcomes among Patients Receiving Long-Term Hemodialysis , 2006, Annals of Internal Medicine.

[2]  Karen Scarfone,et al.  Use of quality index tracking to drive improvement in clinical outcomes. , 2006, Nephrology news & issues.

[3]  F. Port,et al.  Predictors and consequences of altered mineral metabolism: the Dialysis Outcomes and Practice Patterns Study. , 2005, Kidney international.

[4]  Valarie B Ashby,et al.  Improvements in dialysis patient mortality are associated with improvements in urea reduction ratio and hematocrit, 1999 to 2002. , 2005, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[5]  J. Kaufman,et al.  Epoetin requirements predict mortality in hemodialysis patients. , 2004, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[6]  Francesco Locatelli,et al.  Anemia management and outcomes from 12 countries in the Dialysis Outcomes and Practice Patterns Study (DOPPS). , 2004, American journal of kidney diseases : the official journal of the National Kidney Foundation.

[7]  Robert A. Wolfe,et al.  DOPPS Estimates of Patient Life Years Attributable to Modifiable Hemodialysis Practices in the United States , 2004, Blood Purification.

[8]  D. Benner,et al.  The DaVita Quality Index (DQI) : A measure of clinical performance , 2003 .

[9]  D. Mapes,et al.  The Dialysis Outcomes and Practice Patterns Study (DOPPS): How Can We Improve the Care of Hemodialysis Patients? , 2001, Seminars in dialysis.

[10]  R. Wolfe,et al.  The Dialysis Outcomes and Practice Patterns Study (DOPPS): An international hemodialysis study , 2000 .

[11]  E. Lowrie,et al.  Commonly measured laboratory variables in hemodialysis patients: relationships among them and to death risk. , 1992, Seminars in nephrology.