Showing 4 results for Pabon Lasso
Javad Qodoosinejad, Amin Daemi, Mohammad Saadati , Rouhollah Yaghoubi,
Volume 1, Issue 3 (9-2017)
Abstract
Background: Hospitals are the largest and most costly operating units of health systems, and their share of current government expenditures in the healthcare sector is between 50 and 80 percent. The hospital efficiency is more indicative of the proper function of the resources devoted to it. The aim of this study was to evaluate the efficiency of hospitals in Tabriz by using the Pabon Lasso model.
Methods: This is a descriptive study that investigated the efficiency of Tabriz hospitals during 2009-2013. All hospitals of Tabriz were entered by census. Data (bed occupancy rate, bed turnover and patient length of stay) were collected in summer 2014 and charts were plotted using SPSS19 software.
Results: The mean of Pabon Lasso's three indices of efficiency in 5 years (excluding psychiatric beds) was 67.6% for bed occupancy rate, 104.3 times bed turnover, and 2.48 days average patient length of stay. The coefficient of bed occupancy increased by 3% over 5 years, the bed turnover index increased by 8 times and the average length of stay decreased by 0.17 day. On average, 25.2% of hospitals were in Region 1, 23.5% in Region 2, 26.1% in Region 3 and 25.2% in Region 4 of Pabon Lasso Diagram.
Conclusion: The presence of 26% of hospitals in the region of Pabon Lasso Diagram shows the effective efficiency of hospitals which is not an acceptable statistics for hospitals and requires the intervention of health practitioners and policymakers.
Tayebeh Baniasadi, Farid Khorrami, Mohamad Jebraeily, Fahime Khamzade, Fateme Ghovvati Kisomi,
Volume 2, Issue 4 (12-2018)
Abstract
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.
Hamed Dehnavi, Mehdi Rezaee, Mohammad Farough Khosravi, Mahdi Gharasi Manshadi, Jalal Saeidpour,
Volume 5, Issue 4 (10-2021)
Abstract
Background: Surgery wards account for a significant portion of hospital costs, followed by patient costs. Improving surgery wards' performance plays a major role in enhancing the accountability and efficiency of the hospital. This study aimed to evaluate the performance of inpatient surgical wards at the hospitals affiliated with Tehran University of Medical Sciences(TUMS).
Methods: A descriptive, cross-sectional, retrospective study was performed at all hospitals affiliated with TUMS in 2018. To measure the efficiency of these wards, three indicators have been considered; bed occupancy rate, the average length of stay, and bed turnover. Data have been analyzed using Excel software based on the Pabon Lasso model .
Results: Among the 15 active surgical departments, 5 (33.31 %) were categorized in quadrant three, including ophthalmology, obstetrics and gynecology, vascular and trauma surgery, plastic surgery, and infertility department. The oral and maxillofacial surgery and general surgery departments were the poorest in their performance and located in quadrant one. Ten surgical wards out of 38 (26.33 %) have reported a satisfactory performance.
Conclusion: Understanding and comparing the performance of clinical departments is also useful in making decisions for standardizing the patterns of health services delivery, evidence-based management in health care centers, and enhancing accountability in the health system. It is suggested that managers revise the departments in the inefficient area to reduce the number of inefficient departments or attract more patients by marketing, diversifying services, and increasing the quality of services.
Irvan Masoudi Asl, Mehdi Jafari, Akbar Rasouli,
Volume 8, Issue 3 (10-2024)
Abstract
Background: Evaluation of hospital performance plays an important role in improving the quality and quantity of services provided. The purpose of this study is to evaluate the performance of Iran University of Medical Sciences hospitals using the PABON LASSO model in 2022.
Methods: This descriptive and cross-sectional study was conducted in 2022. Thirteen hospitals affiliated to Iran University of Medical Sciences formed the study population. Data were analyzed by SPSS22 software using PABON LASSO model. A one-sample t-test was used for comparison.
Results: Out of 13 hospitals, 38.46% were in the first region, 23.07% were in the third region, and finally 30.76% were in the fourth region of the matrix. Based on the results, in the studied hospitals, the average length of stay (ALS) was 4 days, the bed occupancy rate (BOR) was 72.89%, and the bed turnover rate (BTR) was determined 72.14 times a year.
Conclusion: The BOR index in the studied hospitals had a higher level of desirability compared to the national standard. Using one of the active methods of problem identification in hospitals and by understanding the relationship between performance indicators, it is possible to provide a platform for policy-making and revision of current policies in order to use the maximum performance capacity.