J. Mick Tilford, PhD

This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found that they improved accuracy but decreased sensitivity for Black populations.

This study attempts to identify the sources of the significant 2.5-fold variation found in home health expenditures, a possible indicator of inefficiency and waste.

The authors of “CMS HCC Risk Scores and Home Health Patient Experience Measures” respond to a letter to the editor.

Risk adjustment for patient experience measures needs to be modified by including the CMS Hierarchical Condition Categories (HCC) risk scores of home health beneficiaries.

Revisions of the Hospital Readmissions Reduction Program should consider including community characteristics in risk adjustment models and adding mechanisms that recognize improvement given the uniqueness of the Mississippi Delta region.

This study examined the application of value-based insurance design to the treatment of mental health disorders and addresses any additional challenges.