Volume 2, Issue 4 (12-2018)                   EBHPME 2018, 2(4): 249-257 | Back to browse issues page

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Baniasadi T, Khorrami F, Jebraeily M, Khamzade F, Ghovvati Kisomi F. Performance Evaluation of Hormozgan University of Medical Sciences (HUMS) hospitals based on Pabon Lasso Model. EBHPME 2018; 2 (4) :249-257
URL: http://jebhpme.ssu.ac.ir/article-1-187-en.html
Department of Health Information Management, Tehran University of Medical Sciences, Tehran, Iran
Abstract:   (3643 Views)
Background: Hospitals need a system for evaluating and monitoring performance for promotion the efficiency and effectiveness of their services and outcomes. Pabon Lasso model is a graphical chart that can be used to identify the current status and performance level of hospitals by combining hospital indicators, simultaneously.  Therefore, this study aimed to evaluate the performance of Hormozgan University of Medical Sciences (HUMS) hospitals during a six-year period using this model.
Methods: This descriptive study includes all teaching and non-teaching hospitals affiliated with the HUMS. After gathering the required information related to three indices: Bed Occupancy Rate, Bed Turnover Rate and Average Length of Stay for the years 2009 to 2014 from the statistical systems and yearbooks, the situation of hospitals in terms of indices by drawing Pabon Lasso graphical charts using SPSS version 16, were analyzed.
Results: The results showed that during a six-year period, on average, 26 percent of hospitals were placed in zone I, that is the inefficient area, 28 percent in zone II, 30 percent in zone III which is an efficient area of the model and 16% in zone IV of the Pabon Lasso model.
Conclusion: The findings indicated that the utilization of hospitals beds is relatively desirable.  Periodic monitoring of province centers and determining their status in the model, and also, performance assessment from another dimension is suggested in order to achieve more comprehensive and more accurate results.
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Type of Study: Original article | Subject: Healt care Management
Received: 2018/12/28 | Accepted: 2018/12/28 | Published: 2018/12/28

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