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Cost weight compression: impact of cost data precision and completeness.
Charles K Botz1, Jason Sutherland, Jolyn Lawrenson
1London Health Sciences Center, University Campus, Ontario, Canada. charles.botz@lhsc.on.ca
Health Care Financing Review
|February 13, 2007
Summary
Inaccurate hospital cost data significantly compresses case cost weights. This impacts reimbursement accuracy, particularly with nursing per diem models, affecting diagnosis-related groups (DRGs).
Area of Science:
- Health economics
- Healthcare finance
- Hospital management
Background:
- Accurate hospital case cost data is crucial for equitable reimbursement.
- Deficiencies in data completeness and precision can distort cost allocation.
- Existing reimbursement models may be sensitive to data quality issues.
Purpose of the Study:
- To quantitatively evaluate how incomplete and imprecise hospital cost data affects cost weight compression.
- To assess the magnitude of cost weight compression using different modeling approaches.
- To determine the prevalence and significance of this compression in healthcare reimbursement.
Main Methods:
- Quantitative analysis of hospital case cost data.
- Comparison of cost weight compression between a nursing per diem model and a nursing workload model.
- Calculation of average compression for cases with significant cost weight changes.
Main Results:
- Average cost weight compression was 19.6% for cases with at least a 5% change.
- This compression was observed in 25.9% of analyzed cases.
- The nursing per diem model showed significant compression compared to the nursing workload model.
Conclusions:
- Compression of case mix cost weights due to data deficiencies is widespread.
- Nursing per diem cost or charge models may lead to pervasive and material cost weight compression.
- Findings suggest a need for improved data quality in hospital cost accounting for accurate reimbursement.
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