Research progress on readmission prediction models for patients with mental disorders

This systematic review summarizes studies of readmission prediction models for patients with mental disorders. It examines study populations, data sources, missing-data handling, predictors, modelling methods, model performance, validation, and methodological quality. The quality, risk of bias, and applicability of the included studies were assessed using PROBAST+AI. The review also examines whether existing studies used time-varying information for dynamic prediction.