Comparison of risk adjusters for Medicaid-enrolled children with and without chronic health conditions

Published: July 1, 2001
Category: Bibliography > Papers
Authors: Anderson GF, Hwang W, Ireys HT
Countries: United States
Language: null
Types: Care Management, Population Health
Settings: Academic, Health Plan

Ambul Pediatr 1:217-224.

Department of Health Policy and Management, School of Hygiene and Public Health, Johns Hopkins University, Baltimore, MD, USA

OBJECTIVE: Several capitation payment systems have been developed and implemented recently by public and private insurers as well as by individual managed care organizations. Many pediatricians have expressed concern that methods for establishing capitation rates may not adequately account for the higher expected expenditures for children with chronic health conditions. In this study, we evaluate a demographic- and 4 diagnosis-based models, paying particular attention to their performance for children with chronic health conditions.

METHODS: We selected children 18 years of age and under who were enrolled in the Maryland Medicaid Program in 1995 and 1996. We defined the population of children with chronic health conditions using ICD-9 codes. Individual and group-level analyses were utilized to measure the ability of the different risk adjustment models to predict expenditures in 1996 based upon information available in 1995.

RESULTS: All 4 diagnosis-based models significantly outperformed the demographic model for children overall and for children with chronic health conditions. Differences between diagnosis-based models were small, especially as the size of test populations increased.

CONCLUSIONS: Risk adjustment methods that account directly for health status promise to reduce incentives to exclude children with chronic illnesses from managed care plans and to provide a foundation for more appropriate payments to pediatricians who care for these children.

Comment in: Why should pediatricians be concerned about risk adjustment? [Ambul Pediatr. 2001]

Why should pediatricians be concerned about risk adjustment?Ferris TG, Kuhlthau K. Ambul Pediatr. 2001 Jul-Aug; 1(4):225-6.

PMID: 11888404

Age,Practice Patterns Comparison,Predictive Risk Modeling,Population Markers,United States,Adolescent,Child,Preschool,Diagnosis-Related Groups,Gender,Infant,Newborn,Maryland,Models,Econometric,Rate Setting and Review,Reproducibility of Results,Sensitivity and Specificity

Please log in/register to access.

Log in/Register

LinkedIn Facebook Twitter

© The Johns Hopkins University, The Johns Hopkins Hospital, and Johns Hopkins Health System.
All rights reserved. Terms of Use Privacy Statement

Back to top