Critique of Transgender Data Collection Methods in U.S. Biobanks Proposes Granular "Atomic Approach"

Summary

This article critiques current approaches to transgender data collection in U.S. biobanks, arguing that existing methods (one-step or two-step self-identification questions) focus too heavily on gender identity classification while neglecting systematic capture of granular biological and treatment-related data such as hormone regimens, surgical history, and organ inventories. The author proposes an "atomic approach" that would embed these component-level variables as primary rather than optional data points.