A predictive model for readmission within 1-year post-discharge in patients with schizophrenia

作者：Mingru Hou, Yuqing Wu, Jianhua Xue, Qiongni Chen, Yan Zhang, Ruifen Zhang, Libo Yu, Jun Wang, Zhenhe Zhou, Xianwen Li · 发表于：BMC Psychiatry · 年份：2024 · DOI：10.1186/s12888-024-06024-3 · 被引用次数：7 · 研究领域：Schizophrenia research and treatment、Heart Failure Treatment and Management、Healthcare Decision-Making and Restraints

BACKGROUND: Schizophrenia is a pervasive and severe mental disorder characterized by significant disability and high rates of recurrence. The persistently high rates of readmission after discharge present a serious challenge and source of stress in treating this population. Early identification of this risk is critical for implementing targeted interventions. The present study aimed to develop an easy-to-use predictive instrument for identifying the risk of readmission within 1-year post-discharge among schizophrenia patients in China. METHODS: A prediction model, based on static factors, was developed using data from 247 schizophrenia inpatients admitted to the Mental Health Center in Wuxi, China, from July 1 to December 31, 2020. For internal validation, an additional 106 patients were included. Multivariate Cox regression was applied to identify independent predictors and to create a nomogram for predicting the likelihood of readmission within 1-year post-discharge. The model's performance in terms of discrimination and calibration was evaluated using bootstrapping with 1000 resamples. RESULTS: Multivariate cox regression demonstrated that involuntary admission (adjusted hazard ratio [aHR] 4.35, 95% confidence interval [CI] 2.13-8.86), repeat admissions (aHR 3.49, 95% CI 2.08-5.85), the prescription of antipsychotic polypharmacy (aHR 2.16, 95% CI 1.34-3.48), and a course of disease ≥ 20 years (aHR 1.80, 95% CI 1.04-3.12) were independent predictors for the readmission of s...