title: Comparison of the Properties of Regression and Categorical Risk-Adjustment Models.
abstract: Clinical risk-adjustment, the ability to standardize the comparison of individuals with different health needs, is based upon 2 main alternative approaches: regression models and clinical categorical models. In this article, we examine the impact of the differences in the way these models are constructed on end user applications.
authors.affiliation: 3M Health Information Systems Silver Spring, Maryland (Mr Fuller, Mr Averill, and Mr Muldoon); Yale University School of Medicine, New Haven, Connecticut (Dr Hughes).
authors.forename: Richard L
authors.initials: RL
authors.lastname: Fuller
authors.forename: Richard F
authors.initials: RF
authors.lastname: Averill
authors.forename: John H
authors.initials: JH
authors.lastname: Muldoon
authors.forename: John S
authors.initials: JS
authors.lastname: Hughes
mesh_terms: D007349:Insurance, Health, Reimbursement; D008329:Managed Care Programs / Q000191:economics; D011050:Policy Making; D011159:Population Surveillance; D012044:Regression Analysis; D020379:Risk Adjustment / Q000706:statistics & numerical data; D014481:United States