Anthony J Deo, Victor M Castro, Ashley Baker, Devon Carroll, Joseph Gonzalez-Heydrich, David C Henderson, Daphne J Holt, Kimberly Hook, Rakesh Karmacharya, Joshua L Roffman, Emily M Madsen, Eugene Song, William G Adams, Luisa Camacho, Sarah Gasman, Jada S Gibbs, Rebecca G Fortgang, Chris J Kennedy, Galina Lozinski, Daisy C Perez, Marina Wilson, Ben Y Reis, Jordan W Smoller
BACKGROUND AND HYPOTHESIS: Early detection of psychosis is critical for improving outcomes. Algorithms to predict or detect psychosis using electronic health record (EHR) data depend on the validity of the case definitions used, typically based on diagnostic codes. Data on the validity of psychosis-related diagnostic codes is limited. We evaluated the positive predictive value (PPV) of International Classification of Diseases (ICD) codes for psychosis. STUDY DESIGN: Using EHRs at three health systems, ICD codes comprising primary psychotic disorders and mood disorders with psychosis were grouped into five higher-order groups...
February 29, 2024: medRxiv