Diagnosis-based risk adjustment for Medicare capitation payments
- PMID: 10172666
- PMCID: PMC4193604
Diagnosis-based risk adjustment for Medicare capitation payments
Abstract
Using 1991-92 data for a 5-percent Medicare sample, we develop, estimate, and evaluate risk-adjustment models that utilize diagnostic information from both inpatient and ambulatory claims to adjust payments for aged and disabled Medicare enrollees. Hierarchical coexisting conditions (HCC) models achieve greater explanatory power than diagnostic cost group (DCG) models by taking account of multiple coexisting medical conditions. Prospective models predict average costs of individuals with chronic conditions nearly as well as concurrent models. All models predict medical costs far more accurately than the current health maintenance organization (HMO) payment formula.
References
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- Ash A, Porell F, Gruenberg L, et al. An Analysis of Alternative AAPCC Models Using Data from the Continuous Medicare History Sample. Health Policy Research Consortium, Brandeis University and Boston University; Sep, 1986. Contract Number 99-C-98526/1. Prepared for the Health Care Financing Administration.
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