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The Sensitivity and Specificity of Forecasting High-Cost Users of Medical Care
Richard T. Meenan, PhD., Maureen C. O'Keeffe-Rosetti, MS, Mark G. Hornbrook, PhD., Donald J. Bachman, MS,
Michael J. Goodman, PhD, Paul A. Fishman, PhD., and Arnold V. Hurtado, MD

Medical Care Volume 37, Number 8, pp 815-823
1999

This study compares the ability of 3 risk assessment models to distinguis high and low expense-risk status within a managed care population.  Models are the Global Risk-Assessment Model (GRAM) developed at the Kaiser Permanente Center for Health Research.

The Sensitivity and Specificity of Forecasting High-Cost Users of Medical CareThe Sensitivity and Specificity of Forecasting High-Cost Users of Medical Care
The Sensitivity and Specificity of Forecasting High-Cost Users of Medical Care 2
The Sensitivity and Specificity of Forecasting High-Cost Users of Medical Care 3
The Sensitivity and Specificity of Forecasting High-Cost Users of Medical Care 4
The Sensitivity and Specificity of Forecasting High-Cost Users of Medical Care
The Sensitivity and Specificity of Forecasting High-Cost Users of Medical Care
The Sensitivity and Specificity of Forecasting High-Cost Users of Medical Care
The Sensitivity and Specificity of Forecasting High-Cost Users of Medical Care
 

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