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Predicting Inpatient Length of Stay in Iranian Hospital: Conceptualization and Validation

机译:预测伊朗医院的住院时间长度:概念化和验证

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Objective: The length of stay is an important indicator of hospital performance and efficiency. Regarding the importance of the length of stay, this study aimed to design a structural model of the inpatients’ length of stay in the educational and therapeutic health care facilities of Iran in order to identify the influencing dimensions. Methods: The present study was an analytical and applied study. The face validity of the data gathering tool was investigated by the expert judgment and the construct validity was examined by using the exploratory factor analysis. In order to verify the reliability of the tool, the internal consistency was also trialed by using the Cronbach’s alpha. For ranking the influencing dimensions and factors and also in order to examine the causal relationships between the variables in a coherent manner and presenting the final model, the structural equation modeling technique was used in AMOS software at a significant level of 0.05. Results: The mentioned structural model consists of 4 dimensions and 29 factors influencing the length of stay of hospitalized patients. The independent variables are based on priority and importance as follows: patients’ conditions, the underlying factors, the clinical staff performance, and hospitals’ service delivery, which were examined by second-order factor analysis in order to study the relationship between them and the inpatients’ length of stay. Conclusion: Considering the importance of each one of the proposed dimensions from the point of view of service providers in some therapeutic centers of the country by paying attention to the role of each one of them in preventing prolonged hospitalization can be essential in the effectiveness of the treatment and cost reduction.
机译:目的:住院时间是医院性能和效率的重要指标。关于逗留时间的重要性,本研究旨在设计住院患者的结构模型,伊朗教育和治疗保健设施的住院患者的待命长度,以确定影响的尺寸。方法:本研究是分析和应用研究。通过专家判断研究了数据收集工具的面部有效性,使用探索因子分析检查了构建有效性。为了验证工具的可靠性,还通过使用Cronbach的alpha试验内部一致性。为了排名影响尺寸和因素,并且还为了以相干方式检查变量与最终模型的变量之间的因果关系,结构方程建模技术在AMOS软件中以0.05的显着水平使用。结果:上述结构模型由4个维度和29个因素组成,影响住院患者的住院时间。独立变量基于优先级和重要性,如下:患者的条件,潜在的因素,临床人员绩效和医院的服务交付,这是二阶因素分析的审查,以研究它们与之之间的关系住院患者的逗留时间。结论:考虑到各个拟议尺寸的重要性,从服务提供商的某些治疗中心在某些治疗中心通过注重他们每一个在预防延长住院治疗中的作用可能是必不可少的治疗和降低成本。

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