دورية أكاديمية

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

التفاصيل البيبلوغرافية
العنوان: Investigating factors associated with the number of rehospitalizations among patients with schizophrenia disorder using penalized count regression models
المؤلفون: Mahya Arayeshgari, Ghodratollah Roshanaei, Ali Ghaleiha, Jalal Poorolajal, Leili Tapak
المصدر: BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-13 (2022)
بيانات النشر: BMC, 2022.
سنة النشر: 2022
المجموعة: LCC:Medicine (General)
مصطلحات موضوعية: Count Regression Model, Variable Selection, Minimum Concave Penalty, Random Forest, Rehospitalization, Schizophrenia, Medicine (General), R5-920
الوصف: 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
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1471-2288
Relation: https://doaj.org/toc/1471-2288
DOI: 10.1186/s12874-022-01648-z
URL الوصول: https://doaj.org/article/ac8b4a11b69f48dc86460977b70b791a
رقم الأكسشن: edsdoj.8b4a11b69f48dc86460977b70b791a
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:14712288
DOI:10.1186/s12874-022-01648-z