Comparative analysis of patient demographics and outcomes in teaching and non-teaching hospitals in Iran.

Niusha Shahidi Sadeghi, Mohammadreza Maleki, Hassan Abolghasem Gorji, Soudabeh Vatankhah, Bahram Mohaghegh, Ali Behmanesh
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Abstract

Aims: This study investigates the differences in patient demographics and outcomes between teaching and non-teaching hospitals in Iran. By analyzing these differences, it aims to provide useful information for policymakers to optimize resource allocation, improve patient care, and balance educational and service delivery goals in teaching hospitals.

Materials and methods: In this cross-sectional investigation, both teaching and non-teaching general hospitals were examined. A comprehensive analysis was carried out on 13 non-teaching and 25 teaching hospitals with homogeneity, utilizing Health Information System (HIS) data comprising 10,611,647 records through census sampling in 2019. Before employing the logistic regression models to clarify the relationship between a binary dependent variable (distinguishing teaching or non-teaching hospitals) and independent variables, we utilize the Recursive Feature Elimination (RFE) technique to select the most crucial predictor variables.

Findings: the optimal logistic regression model revealed that the teaching status of hospitals played a crucial role as an indirect predictor for variables including referral patients, length of stay (<24 hours), patients with partial improvement, and those who received less than 3 services. It also emerged as a direct predictor for variables such as length of stay (>30 days), patients receiving more than the mean services, death rate, and patients with complete improvement. Moreover, the teaching status had an indirect impact on variables like outpatient cases, length of stay (>30 days), and paraclinical services, while directly predicting variables such as patients with supplementary insurance and vulnerable groups insurance type, rehabilitation services, clinic wards, and length of stay (between 4-30 days).

Conclusion: In Iranian teaching hospitals, we observed an increase in patient numbers, extended length of stay, a rise in both the quantity and complexity of services, and more intricate patient admissions. It appears that small teaching hospitals in Iran have transitioned from being referral centers to functioning as outpatient centers with active clinics.

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伊朗教学医院和非教学医院患者人口统计学特征和结果的比较分析。
目的:本研究调查了伊朗教学医院和非教学医院在患者人口统计学和预后方面的差异。通过分析这些差异,旨在为政策制定者提供有用的信息,以优化教学医院的资源配置,改善患者护理,平衡教育和服务目标。材料与方法:采用横断面调查方法,对教学综合医院和非教学综合医院进行调查。利用2019年全国人口普查抽样的卫生信息系统(HIS) 10,611,647条记录,对13家非教学医院和25家教学医院进行综合分析。在使用逻辑回归模型澄清二元因变量(区分教学医院或非教学医院)与自变量之间的关系之前,我们利用递归特征消除(RFE)技术来选择最重要的预测变量。结果发现:最优logistic回归模型显示,医院教学状况对转诊患者、住院时间(30天)、接受超过平均服务的患者、死亡率、完全好转患者等变量具有重要的间接预测作用。此外,教学状况对门诊病例数、住院天数(0 ~ 30天)、临床辅助服务等变量有间接影响,对补充保险和弱势群体保险类型、康复服务、门诊病房数、住院天数(4 ~ 30天)等变量有直接预测作用。结论:在伊朗教学医院,我们观察到患者人数增加,住院时间延长,服务数量和复杂性增加,以及更复杂的患者入院。伊朗的小型教学医院似乎已从转诊中心转变为设有活跃诊所的门诊中心。
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来源期刊
Hospital practice (1995)
Hospital practice (1995) Medicine-Medicine (all)
CiteScore
2.80
自引率
0.00%
发文量
54
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