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Case-mix groups for VA hospital-based home care
M E Smith1, C R Baker, L G Branch
1U.S. Department of Veterans Affairs, Little Rock, AR.
Medical Care
|January 1, 1992
Summary
This study developed a new three-factor model for hospital-based home care (HBHC) patient classification, improving cost variance explanation for better resource allocation in Veterans Affairs (VA) programs.
Area of Science:
- Health Services Research
- Healthcare Management
- Biostatistics
Background:
- Existing case mix methods inadequately explain cost variance in hospital-based home care (HBHC).
- Veterans Affairs (VA) requires effective resource allocation models for HBHC services.
Purpose of the Study:
- To develop and validate alternative case mix methods for HBHC patient management and reimbursement.
- To group HBHC patients homogeneously based on characteristics influencing cost of care.
Main Methods:
- Utilized classification and regression trees (CART), analysis of variance, and multiple linear regression.
- Analyzed data from 874 unique patients across six VA HBHC programs in FY88.
- Selected programs maximizing patient, program, and regional variation.
Main Results:
- A novel three-factor model was developed, explaining 20% of the cost variance (R2 = 0.20).
- Cross-validation yielded an R2 of 12%, indicating model stability.
- Existing models (RUG-II, VA outpatient model, RUG-HHC) showed lower cost variance explanation.
Conclusions:
- The developed three-factor model offers a more adequate approach for VA home care resource allocation compared to existing methods.
- Homogeneous patient grouping based on cost-related characteristics is crucial for effective management and reimbursement in HBHC.