Sherri discusses the challenges of risk adjustment formulas in healthcare spending, highlighting how they can inadvertently lead to discrimination against costly groups, particularly those with mental health and substance use disorders. By developing fairer regression models, the aim is to ensure these individuals receive adequate compensation, thereby reducing the incentive for insurers to limit their care options. The results from these new formulas show promising performance in promoting equity in healthcare funding.
