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Showing 3 results for Pabon Lasso

Hossein Dargahi, Shiva Toloui Rakhshan , Jamil Sadeghifar,
Volume 10, Issue 3 (7-2016)
Abstract

Background & Aim: One of the most important and useful models for assessing hospital performance is the Pabon Lasso Model, a graphical model that determines the relative performance of hospitals using three indicators: 1. Bed Occupancy Rate (BOR); 2. Bed turnover (BTO); 3 Average Length of Stay (ALS). The aim of this research is to investigate the performance of the hospitals affiliated with Tehran University of Medical Sciences in Iran during the year 2011 based on the Pabon Lasso Model.

Materials & Methods: This descriptive and cross-sectional study conducted in 2011.  All the 16 hospitals affiliated to Tehran University of Medical Sciences formed the study population. Data was analyzed by Excel software and Pabon lasso model.

Results: The following average results for each performance indicator were obtained: Average Length of Stay (ALS) = 6.55 days. Bed Occupancy Rate (BOR) = 74.151% and Bed Turnover (BTO) = 70.24 times per year18.75% hospitals were located in the Pabon Lasso Model zone 1.25% hospitals in zone 2.25% of hospitals in zone 3, and 31.25% hospitals in zone 4 of the model.

Conclusion: The study showed that 75% of the studied hospitals were inefficient. Applying Pabon Lasso model compared hospital's performance. Thus, using one of the active ways of problem recognition in hospitals and perceiving the relation of performance indicators will be helpful in establishing new policy and reviewing current policy in order to maximize performance capacity.


Ali Mohammad Mosadeghrad, Parvaneh Esfahani , Marziyeh Nikafshar,
Volume 11, Issue 3 (9-2017)
Abstract

Background and Aim: Increasing healthcare organizations’ efficiency is a necessity due to the resource scarcity in health sector. The aim of this study was to evaluate hospitals’ efficiency in Iran.
Materials and Methods: This study was conducted using a systematic review and meta-analysis approach to find empirical research papers published on hospital efficiency in Iran between 1997 and 2016. Seven electronic databases and two search engines were searched using appropriate key words. Bibliography section of the retrieved papers and related journals were also searched for papers that were not yet indexed in the data bases. 1563 publications were identified. All retrieved papers were assessed using a checklist before analysis. Finally 91 empirical studies were reviewed.
Results: Data Envelopment Analysis, Pabon Lasso and Stochastic Frontier Analysis methods were mostly used for measuring hospital efficiency respectively. The average efficiency of Iran hospitals varied between 0.584 and 0.998. Hospitals affiliated to Social security organisation were more efficient. In contrast, non teaching public hospitals and charity and private hospitals were less efficient. Number of hospital beds and manpower were the most used input variables and number of outpatients and inpatients patient  and surgical procedures were the most used output variables in Data Envelopment Analysis. Stochastic Frontier Analysis method has more advantage in measuring hospital efficiency compared to Data Envelopment Analysis. 
Conclusion: Iran hospitals suffer from inefficiency. Thus, managers should identify the reasons for hospitals’ ineffeiciency and apply measures for increasing their efficiency and reducing wastage of limited resources.

Mehdi Raadabadi, Zahra Tolideh, Zahra Shoara, Zahra Yeganeh, Jamil Sadeghifar, Khalil Momeni,
Volume 18, Issue 1 (3-2024)
Abstract

Background and Aim: There is limited evidence about the effect of the corona disease epidemic on the efficiency of hospitals in Iran. This study was conducted with the aim of investigating the effect of the Covid-19 epidemic on the productivity of public hospitals in Ilam province.
Materials and Methods: This retrospective descriptive research has investigated the performance of 9 hospitals in Ilam province during a four-year period(1397-1400) based on the Pabon Lasso graphic model. The desired data were extracted from the HIS system of the hospitals and the key performance indicators of BOR, BTR and ALOS were calculated. The Pabon Lasso diagram was drawn with Excel software.
Results: The results showed that the bed occupancy percentage in teaching hospitals is significantly higher than non-teaching hospitals (P<0.05). Based on the results, the percentage of bed occupancy and the rate of bed rotation after the covid 19 pandemic has decreased significantly (P<0.05). The average length of the stay of patients also increased after the pandemic (P<0.05). Overall evaluation of hospital efficiency based on the Pabén Lasso model shows that the frequency of hospitals located in Nakara district has decreased from 4 hospitals before the pandemic to 3 hospitals, although hospitals in Kara district have not changed during this period.
Conclusion: Most of the researched hospitals, especially non-teaching hospitals, have low bed occupancy. Weakness in the service delivery chain, especially diagnostic services and specialized and super-specialized services, is one of the main reasons for this situation. Moving towards a change in the way hospitals are managed and having more flexibility in the structure and implementation in the short term and prioritizing large hospitals with a complete chain of services can lead to a way out of the current inefficient situation.


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