Do clinical prediction models perpetuate health disparities? Assessment of racial and ethnic disparities in suicide prediction models
DCEG BB Seminar
January 25, 2023 | 10:30 AM – 11:30 AM
Online via Webex
Speaker:
Dr. Yates Coley
Associate Investigator
Biostatistics Unit, Kaiser Permanente Washington Health Research Institute
Description:
Clinical prediction models are frequently estimated using health records data, which reflect inequities in health care access, quality, and outcomes based on race, sexual orientation, gender identity, immigration status, and other identities. Presuming that historical treatment patterns reflect clinical need can perpetuate these inequities. This talk will examine racial and ethnic disparities in the performance of suicide risk prediction models, a context which illustrates several methodological and implementation challenges of applying prediction models across racial and ethnic groups. We will demonstrate how to evaluate potential disparities in the performance and impact of clinical prediction models and discuss the role of statisticians in deploying clinical prediction models that reduce, rather than exacerbate, health disparities.
Join via Webex:
https://cbiit.webex.com/cbiit/j.php?MTID=mdcc00f7254f73bce2a1d33c50cbb314f
Meeting number: 2305 522 4847
Password: BBSem01.25
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Access code: 2305 522 4847