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Dataset Information

Development and validation of a prediction model for rehospitalization among people with schizophrenia discharged from acute inpatient care.


ABSTRACT:

Objective

Relapses and rehospitalization prevent the recovery of individuals with schizophrenia or related psychoses. We aimed to build a model to predict the risk of rehospitalization among people with schizophrenia or related psychoses, including those with multiple episodes.

Methods

This retrospective cohort study included individuals aged 18 years or older, with schizophrenia or related psychoses, and discharged between January 2014 and December 2018 from one of three Japanese psychiatric hospital acute inpatient care ward. We collected nine predictors at the time of recruitment, followed up with the participants for 12 months, and observed whether psychotic relapse had occurred. Next, we applied the Cox regression model and used an elastic net to avoid overfitting. Then

SUBMITTER: Sato A 

PROVIDER: S-EPMC10483840 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature