Investigating factors associated with the number of rehospitalizations among patients with schizophrenia disorder using penalized count regression models

BMC Medical Research Methodology

Mahya Arayeshgari¹  Ghodratollah Roshanaei¹  Leili Tapak¹  Ali Ghaleiha²  Jalal Poorolajal³ 

[1] Department of Biostatistics, School of Public Health, Hamadan University of Medical Sciences;Department of Psychiatry, School of Medicine, Hamadan University of Medical Sciences;Modeling of Noncommunicable Diseases Research Center, Hamadan University of Medical Sciences;

关键词: Count Regression Model;    Variable Selection;    Minimum Concave Penalty;    Random Forest;    Rehospitalization;    Schizophrenia;   

DOI  :  10.1186/s12874-022-01648-z

来源: DOAJ

【 摘 要 】

Abstract Background Schizophrenia is a chronic, severe, and debilitating mental disorder always considered one of the recurrent psychiatric diseases. This study aimed to use penalized count regression models to determine factors associated with the number of rehospitalizations of schizophrenia disorder. Methods This retrospective cohort study was performed on 413 schizophrenic patients who had been referred to the Sina (Farshchian) Educational and Medical Center in Hamadan, Iran, between March 2011 and March 2019. The penalized count regression models were fitted using R.3.5.2. Results About 73% of the patients were male. The mean (SD) of age and the number of rehospitalizations were 36.16 (11.18) years and 1.21 (2.18), respectively. According to the results, longer duration of illness (P < 0.001), having a positive family history of psychiatric illness (P = 0.017), having at least three children (P = 0.013), unemployment, disability, and retirement (P = 0.025), residence in other Hamadan province townships (P = 0.003) and having a history of arrest/prison (P = 0.022) were significantly associated with an increase in the number of rehospitalizations. Conclusion To reduce the number of rehospitalizations among schizophrenic patients, it is recommended to provide special medical services for patients who do not have access to specialized medical centers and to create the necessary infrastructure for the employment of patients.

【 授权许可】

Unknown