Related Experiment Video
Updated: Jun 26, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Distributing $800 billion: an early assessment of Medicare Part D risk adjustment
John Hsu1, Jie Huang, Vicki Fung
1Center for Health Policy Studies and Division of Research, Kaiser Permanente Medical Care Program, Oakland, California, USA. jhsu2000@gmail.com
Abstract:
The viability and stability of the Medicare Part D prescription drug program depend on accurate risk-adjusted payments. The current approach, prescription drug hierarchical condition categories (RxHCCs), uses diagnosis and demographic information to predict future drug costs. We evaluated the performance of multiple approaches for predicting 2006 Part D drug costs and plan liability. RxHCCs explain 12 percent of the variation in actual drug costs, overpredict costs for beneficiaries with low actual costs, and underpredict costs for beneficiaries with high actual costs. Combining RxHCCs with individual-level information on prior-year drug use greatly improves performance and decreases incentives for plans to select against bad risks.
Related Concept Videos
Drug Dosing: Obese Patients
Drug Dosing: Geriatric Patients
Dosage Regimen: Individualization
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...
Dosage Regimens: Partial Pharmacokinetic Parameters
Impact of Pharmacokinetic–Pharmacodynamic Models: Regulatory Decisions
