Nomogram model for predicting medication adherence in patients with various mental disorders based on the Dryad database.

ABSTRACT:

Objective

Treatment compliance among psychiatric patients is related to disease outcomes. How to assess patient compliance remains a concern. Here, we established a predictive model for medication compliance in patients with psychotic disorders to provide a reference for early intervention in treatment non-compliance behaviour.

Design

Clinical information for 451 patients with psychotic disorders was downloaded from the Dryad database. The Least Absolute Shrinkage and Selection Operator regression and logistic regression were used to establish the model. Bootstrap resampling (1000 iterations) was used for internal validation and a nomogram was drawn to predict medication compliance. The consistency index, Brier score, receiver operating characteristic curve and decision curv

SUBMITTER: Pei X 

PROVIDER: S-EPMC11575275 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature