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Practice patterns, case mix, Medicare payment policy, and dialysis facility costs
R A Hirth1, P J Held, S M Orzol
1Department of Health Management and Policy, University of Michigan School of Public Health, Ann Arbor 48109-2029, USA.
Health Services Research
|February 24, 1999
Summary
Dialysis costs are influenced more by practice patterns and facility type than patient case mix. Optimizing dialysis dose through longer treatments is more economical than using advanced membranes.
Area of Science:
- Nephrology
- Health Economics
- Healthcare Management
Background:
- Dialysis costs are a significant concern in end-stage renal disease (ESRD) care.
- Understanding cost drivers is crucial for effective payment policies and resource allocation.
Purpose of the Study:
- To evaluate the impact of case mix, practice patterns, payment systems, and facility characteristics on dialysis costs.
- To identify key determinants of cost variations across dialysis units.
Main Methods:
- Utilized a nationally representative sample from the 1991 U.S. Renal Data System's Case Mix Adequacy (CMA) Study.
- Merged CMA data with Medicare Cost Reports, HCFA facility surveys, and ESRD patient registry data.
- Estimated a statistical cost function to analyze dialysis unit-level cost determinants.
Main Results:
- Case mix showed a weak relationship with dialysis costs.
- Dialysis practices (membrane type, reuse, duration) significantly impacted costs.
- Hospital-based units incurred higher costs than freestanding units; payment constraints also increased costs.
- Large national dialysis chains demonstrated cost savings compared to independent facilities.
Conclusions:
- Adjusting dialysis payments for case mix is likely unnecessary for equitable reimbursement or access for high-cost patients.
- Increasing dialysis dose via longer treatments is more economical than using advanced membranes.
- Higher costs in hospital-based units may reflect overhead allocation rather than resource differences.
- Economies of scale in large chains may explain market share growth; continued monitoring of facility types and chain growth is recommended.