Incorporating Prescription Drug Utilization Information Into the Marketplace Risk Adjustment Model Improves Payment Accuracy and Reduces Adverse Selection Incentives

Author:

Xu Jianhui12ORCID,Trish Erin13,Joyce Geoffrey13

Affiliation:

1. USC Schaeffer Center for Health Policy and Economics, Los Angeles, CA, USA

2. USC Price School of Public Policy, Los Angeles, CA, USA

3. USC School of Pharmacy, Los Angeles, CA, USA

Abstract

Beginning with the 2018 benefit year, the Centers for Medicare and Medicaid Services started incorporating select prescription drug utilization information into the Marketplace risk adjustment model. There has been little evidence about the impact of this change on payment accuracy and the mechanisms through which it may occur. Using commercial claims in 2017 from a large national health insurer, we find that the policy change improves payment accuracy in our sample and would help mitigate insurers’ selection incentives for some enrollees through two channels: imputing missing diagnoses and varying risk scores to better capture the heterogeneity in expenditures among patients with certain health conditions. However, while improving payment accuracy overall, there are potential perverse incentives that could distort treatment choice for marginal patients. Additionally, overcompensation and undercompensation persists for certain patient subgroups, suggesting an opportunity to further refine and improve the model.

Funder

The Leonard D. Schaeffer Center for Health Policy and Economics of the University of Southern California

Publisher

SAGE Publications

Subject

Health Policy

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improving the Performance of Risk Adjustment Systems;American Journal of Health Economics;2021-11-01

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