In an ideal world, every patient in clinical trials would feel truly represented. In this video, Darshan Kulkarni outlines three crucial takeaways for collecting diversity data in clinical trials, following guidelines from the FDA.
 The guidance emphasizes that one size does not fit all when it comes to race and ethnicity, encouraging detailed categories to embrace the global diversity of participants. 
Darshan advises starting by asking about identity, specifically Hispanic and Latino, before delving into race, respecting the complexity of ethnicity and allowing participants to self-identify. 
He emphasizes the importance of trusting participants to share their own stories, asserting that self-reported data on race and ethnicity is not only more accurate but also honors individual identity, contributing to a more nuanced and enriched dataset.

Support the show