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Suicide Risk Prediction Tools Fail People of Color


Suicide Risk Prediction Tools Fail People of Color
By Batya Swift Yasgur, MA
May 7, 2021 Current models used to predict suicide risk fall short for certain populations including Black, Indigenous and People of Color (BIPOC), new research shows.
Investigators developed two suicide prediction models to examine whether these types of tools are accurate.
They found both prediction models failed to identify high-risk BIPOC individuals. In the first model, nearly half of the visits followed by suicide were identified in white patients versus only 7% of visits followed by suicide in BIPOC patients. The second model had a sensitivity of 41% for white patients, but just 3% for Black patients and 7% for American Indian/Alaskan Native patients. ....

Loyola University , United States , Yates Coley , Jonathan Singer , Kaiser Permanente , Veterans Health Administration , School Of Social Work At Loyola University , American Academy Of Suicidology , Alaskan Native , Social Work , Native American , Black Americans , American Academy , லயோலா பல்கலைக்கழகம் , ஒன்றுபட்டது மாநிலங்களில் , யேட்ஸ் கோலி , ஜொனாதன் பாடகர் , கைசர் நிரந்தர , அலாஸ்கன் பூர்வீகம் , சமூக வேலை , பூர்வீகம் அமெரிக்கன் , கருப்பு அமெரிக்கர்கள் , அமெரிக்கன் கலைக்கழகம் ,