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Healthcare cost and predictive factors: high- and low-utilization model development
Koichiro Otani1, William W Baden
1Indiana University-Purdue University Fort Wayne, 2101 E. Coliseum Bldv., Fort Wayne, Indiana 46805, USA. otanik@ipfw.edu
Health Marketing Quarterly
|October 9, 2009
Summary
Predicting healthcare costs is crucial for cost containment. Age, gender, and prior spending strongly predict future healthcare expenses, though biomarkers did not significantly improve predictions in this study.
Area of Science:
- Health Economics
- Predictive Analytics
- Biomarkers in Healthcare
Background:
- US healthcare costs are the world's highest and rising.
- Employers and insurers seek methods to control escalating healthcare expenditures.
- Predictive modeling is a key strategy for healthcare cost management.
Purpose of the Study:
- To develop a predictive model for healthcare insurance claims.
- To identify key predictors of healthcare costs, including health risks, demographics, and past expenditures.
- To assess the predictive value of specific biomarkers for healthcare costs.
Main Methods:
- Developed a predictive model using historical healthcare insurance claims data.
- Included variables such as gender, age, previous year's claims, and six specific biomarkers.
- Employed statistical analysis to determine predictor significance.
Main Results:
- Age, gender, and previous year's healthcare expenditure were significant predictors of healthcare costs.
- None of the six investigated biomarkers significantly predicted healthcare costs in the model.
- Biomarkers, while not predictive of immediate costs, remain important for future chronic disease risk.
Conclusions:
- Demographic factors and past healthcare utilization are robust predictors of current healthcare costs.
- Biomarkers may not be direct predictors of immediate healthcare claims but are vital for assessing long-term health risks.
- Future research could explore different biomarkers or incorporate them with other risk factors for a comprehensive predictive approach.
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