Association between prevalent care process measures and facility-specific mortality rates.

Area of Science:

• Nephrology
• Healthcare Quality
• Biostatistics

Background:

• Practice guidelines aim to improve patient outcomes, with adherence monitored via quality metrics.
• Facility-specific mortality rates (SMR) are used to infer care quality, assuming poor outcomes indicate suboptimal processes.
• The U.S. Health Care Financing Administration uses three Core Indicators for end-stage renal disease facilities: hematocrit, urea reduction ratio (URR), and serum albumin.

Purpose of the Study:

• To evaluate the association between facility-specific mortality rates (SMR) and patient non-conformance with Core Indicators.
• To determine if adherence to Core Indicators can reliably predict facility SMR.
• To assess the predictive ability of variance from guidelines for facility SMR categorization.

Main Methods:

• Statistical models (one-variable and multivariable) were used to assess SMR associations with non-conformance fractions from 1993-1995.
• Facilities were categorized into high, medium, or low SMR groups based on confidence intervals.
• The study analyzed the correlation between non-conformance rates and SMR group membership.

Main Results:

• Weak correlations were found between SMR and non-conformance with hematocrit (R² < 6%) and URR (R² < 4%) indicators.
• Stronger, yet variable, correlations were observed for the albumin indicator (R² up to 21.8%).
• While higher non-conformance rates were seen in high SMR groups, overlap was substantial, limiting predictive power.

Conclusions:

• Statistical associations exist between Core Indicator variance and SMR, but they are weak and not reliably predictive.
• Current Core Indicators may not accurately reflect or predict dialysis facility quality or patient mortality.
• Further research is needed to identify and incorporate more robust indicators of care quality and mortality risk in dialysis.