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Disease burden profiles: an emerging tool for managing managed care
Yang Zhao1, Arlene S Ash, Randall P Ellis
1DxCG, Inc, Boston, MA 02111, USA. yang.zhao@dxcg.com
Health Care Management Science
|October 5, 2002
Summary
Health plans can use risk assessment methods to measure disease burden and predict future healthcare needs. This study compares predictive models for diabetic patient cohorts to improve population health management.
Area of Science:
- Health economics
- Population health management
- Biostatistics
Background:
- Health plans face challenges managing population health while assuming financial risk.
- Effective management requires accurate assessment of disease burden and future healthcare needs.
Purpose of the Study:
- To demonstrate the utility of risk assessment methods for population health management.
- To measure disease burden across a full population.
- To predict future healthcare needs within specific disease cohorts, focusing on a diabetic cohort.
Main Methods:
- Utilizing risk assessment methodologies.
- Analyzing claims data for predictive modeling.
- Comparing the predictive accuracy of different claims-based models within a diabetic cohort.
Main Results:
- Risk assessment methods can effectively measure disease burden.
- These methods can discriminate varying levels of future healthcare needs.
- Claims-based models show predictive power within the diabetic cohort, though comparisons are detailed in the full study.
Conclusions:
- Risk assessment is crucial for health plans managing financial risk.
- Predictive modeling using claims data can inform resource allocation for specific conditions like diabetes.
- Further research can refine these models for enhanced population health outcomes.