Positive predictive values of selected hospital discharge diagnoses to identify infections responsible for hospitalization in the French national hospital database

摘要

PurposeThe identification of infections in electronic health databases is a key issue for pharmacoepidemiology research. The aim of this study was to assess the positive predictive values (PPVs) of hospitalizations for infection in the Systeme National d'Information Inter-regimes de l'Assurance Maladie, that is the electronic database recording in-and-out hospital data for the entire French population (66 million inhabitants).