Showing 5 results for Pabon Lasso
M Zahiri, I Keliddar,
Volume 11, Issue 3 (10-2012)
Abstract
Background: Performance evaluation could provide information to managers that they need to evaluate and monitor of the current status and activities in hospitals. The PABON LASSO model was applied to evaluate performing of hospitals affiliated with Ahwaz Jundishapour University of Medical Sciences to produce the information that used by policy makers in their attempt to make more productivity health care system.
Materials & Methods: This cross-sectional & descriptive study involved in 26 hospitals, with 3824 available beds. Data for this study extracted from computerized databases within statistical department of vice- chancellor for clinical affairs. This study used the PABON LASSO model combining with three major indicators of hospital performance named as average length of stay, bed occupancy rate, and bed turnover which analyzed in PABON LASSO model. The statistical software SPSS-13 used to derive three basic performance indicators.
Results: Based on 10 hospitals in Zone 3 of the model the satisfactory level of efficiency indicated. Results in 2 hospitals demonstrated the inefficiency and underutilization of resources by falling into Zone 1 and 7 hospitals in zone 2 and 7 hospitals placed in Zone 4. The overall average length of stay, bed occupancy and bed turnover rates were 3.57 days, 63.13% and 79.37 times respectively.
Conclusion: The performance of hospitals affiliated with Ahwaz Jundishapour University of Medical Sciences was in a relatively desirable level. Future research should be focused on why and how this situation could be improved in the hospitals with low efficiency.
M Mehrolhasani , V Yazdi Feyzabadi , T Barfeh Shahrbabak ,
Volume 12, Issue 4 (3-2014)
Abstract
Background: A method of performance assessment is required to improve Productivity and reduce hospital costs . Pabon Lasso diagram is known as a tool for performance assessment. The current study is aimed to assess and compare Kerman province`s hospitals performance by using Pabon Lasso diagram.
Materials & Methods: This descriptive and cross-sectional study was conducted retrospectively between 2008 and 2010. All hospitals of Kerman province in three groups of public, social security and private were selected by census method (N=23). The data were gathered from statistics unit and entered into SPSS 18.0. Three indicators include bed occupancy rate, bed turnover and average of length of stay were calculated and then hospitals` performance were analyzed by Pabon Lasso diagram.
Results: In first two years, seven and eight hospitals out of twenty-three and in third year nine hospitals out of twenty-two located in third zone of the model (desired productivity) respectively. Among all hospitals, regarding number and ownership type, social security hospitals had better performance in 2008. Additionally Public hospitals had better performance than others in 2009 and 2010,.
Conclusion: Public hospitals had better performance.Although studied hospitals` performance experienced growing trend, only one third of the them had desired performance. It can be caused by changing the provided services type from inpatient to outpatient services.It seems that Considering type of ownership and assessing past trend of 3 studied indicators concurrently is necessary for Planning for development of a broader range of inpatient services and diversified medical services based on province`s need.
Abolfazli Mohammadbeig, Zohreh Anbari, Maryam Hemmati, Ahmad Rahbar, Narges Mohammad Salehi, Fariba Eslami Moghaddam,
Volume 14, Issue 3 (9-2015)
Abstract
Background: The Pabon Lasso graphical Model is a method to determine hospital efficacy as one of the most important part of health system in developing countries. This study aimed at assessing the efficacy analysis using Pabon Lasso Model and comparing with national standards of educational hospitals affiliate to Qom University of Medical Sciences.
Materials and Methods: This descriptive study conducted in educational hospitals of Qom University of Medical Sciences in 2011 - 2013. Data collected by approved forms of Health Ministry and three indicators including bed occupancy percentage, bed turnover rate, and average length of Stay were calculated for each hospital using Pabon Lasso model. One sample t-test conducted to data analysis.
Results: The mean of bed occupancy and bed turnover was 76.9±9.8 and 100.6±35.4 respectively which were significantly higher than national standards. In addition, the average length of Stay was 3±1.1 days that were similar to standard. The Highest efficacy calculated for IZ hospital and lowest efficacy observed in KA and NE hospitals. Moreover, ZA Hospital can achieve excellent efficacy in 2013.
Conclusion: The mean of bed occupancy and bed turnover assessed very desirable and higher than national standards. Moreover, only IZ and ZA hospitals had excellent efficacy based on Pabon Lasso model.
Dr Masoumeh Erfani Khanghahi, Dr Farbod Ebadi Fard Azar,
Volume 17, Issue 2 (9-2018)
Abstract
Background: The Pabon Laso Model is one of the most important models of evaluating efficiency. Many studies are implemented with this model in Iranian hospitals. This study aimed to review related articles with systemic review and meta-analysis method.
Materials and Methods: The data was gathered using related keywords in databases such as IranMedex, MagIran, IranDoc, Medlib, SID, PubMed, Google Scholar, Elsevier, and Scopus. The articles were searched during 2001 to 2015. Inclusion criteria were determined as articles published in Persian and English, Pointing at least one of three criteria Pabon Lasso model in Iran and access to full-text articles. Exclusion criteria were articles other than hospital performance assessment, and articles which presented as conferences event, case reports, letters to the editor and educational articles. Meta-analysis method was used for calculating Pabon Lasso indices. CMA: 2(Comprehensive Meta-Analysis) was utilized.
Results: 27 articles out of 396 articles were reviewed. The results of 348 hospitals had shown 79.9(22.9%), 76.8(21.7%), 117.8(33.8%), and 74.6(21.4%) of hospitals were in areas one, two, three, and four, respectively. The average of length of stay, bed occupancy, and bed turnover were 3.4 (3-3.7, 95% CI), 63 (41-95,95% CI), and 78.4 (71.8-85.2, 95% CI) per year, respectively.
Conclusion: Study results revealed that only one-third of hospitals were in area three in Pabon Lasso model. The performance status of three fields were average in the length of stay (approximately standard), bed occupancy (upper than standard), and bed turnover (lower than standard).
Sara Emamgholipour, Fateme Mohammadi, Behzad Raei,
Volume 24, Issue 1 (5-2025)
Abstract
Background and purpose: Evaluating hospital efficiency serves as a critical tool for assessing the preparedness and responsiveness of health systems in times of crisis. Accordingly, this study examines the performance of hospitals affiliated with Tehran University of Medical Sciences in response to the COVID-19 pandemic during the years 2019 to 2022.
Methods: This analytical study assessed hospital efficiency using the Pabon Lasso model over the period 2019–2022. Additionally, statistical correlation analysis was employed to explore the relationship between changes in COVID-19 admissions and variations in hospital expenditures, revenues, average length of stay, and bed occupancy rates.
Results: The outbreak of COVID-19 led to a temporary improvement in performance indicators and more optimal utilization of hospital resources. However, following the subsidence of the crisis, hospitals reverted to their previous inefficient structures. In 2022, the operational structure of hospitals returned to pre-pandemic conditions, with only 14% of hospitals falling within the efficient zone. Compared to 2019, a 33% increase in hospitals located in Zone 1 and a 17% decrease in those in Zone 4 indicated a lack of progress in enhancing systemic efficiency. Moreover, the rise in COVID-19 admissions was associated with increased expenditures and subsidies, yet had no significant impact on hospitals’ direct income from patients. Functional effects were limited to a slight reduction in average length of stay and a modest increase in bed occupancy rates.
Conclusion: The findings highlight the absence of mechanisms necessary to sustain crisis management achievements and promote long-term efficiency. Health system preparedness for future crises requires continuous integration of crisis experiences, proactive planning, resource allocation, and the establishment of frameworks to maintain and enhance productivity under all conditions. Therefore, crisis management should not be viewed as a temporary response but rather as an integral component of the strategic and permanent structure of healthcare organizations.
