White vs. Brown vs. Clear Bagging

In 2020, spending on specialty drugs was $265 billion; this constituted 49.6% of total prescription drug expenditure. To combat rising costs, payers have turned to white, brown and clear bagging as well as approaches to restrict the site of care where patients receive specialty drugs. What are these “bagging” policies, what are the pros and…

Lessons from the hospital readmissions reduction program

A commentary from Sheehy et al. (2023) argues that the hospital readmissions reduction program has been a disappointment. “If you can’t measure it, you can’t improve it”—a quote featured prominently on the Centers for Medicare & Medicaid Services (CMS) Measures Management website.3 But like any initiative intended to improve quality, evaluation, and iteration is key…

Impact of poverty on mortality

A paper by Brady et al. (2023) aims to measure this relationship in the US. They use data from the 1997-2019 Panel Study of Income Dynamics (PSID) data merged with the Cross-National Equivalent File. The data were validated with information from the National Death Index. The authors adjust for self-reported health, demographics, comorbidities and a…

Alternatives to the QALY

That is the topic of a Health Affairs Forefront article (Sullivan et al. 2021) out today which is addresses the topic. The issue is particularly relevant as the Inflation Reduction Act (IRA)’s has a de facto ban on QALYs for use in setting a drug’s maximum fair price (MFP). The authors discuss some alternatives: The…

Model Fit as a Principal-Agent problem

Let’s say that you want to predict the impact of some policy intervention. Let us also assume that there is a randomized controlled trial (RCT) examining the impact of said policy on some outcome of interest. To predict the best model fit, at first glance, one would use all the data in the RCT to…