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Efficiency Appraisal Of Yazd University Of Medical Science Hospitals By Quantitative Approach Data Envelopment Analysis(DEA)
Roohollah Askari,Reza Goudarzi,Hossein Fallahzadeh,Bahareh Zarei
Payavard Salamat , 2012,
Abstract: Background and Aim: Paying attention to efficiency of cost and performance in hospitals as the largest and the most costly performing unit of the health care systems; is very crucial. This study aimed to assess the efficiency of hospitals related to Yazd University of Medical Sciences (YUMS). Materials and Methods: In this study, the efficiency of Hospitals of YUMS was assessed by Data Envelopment Analysis method during years 2000- 2008. The variables were of two types: output variables including the percentage of occupied beds, inpatient days and the number of surgical procedures and input variables were number of active beds, nurses, medical staff and other personnel. The data was analyzed using Deap2.1 software. Results: Average of technical, management and scale efficiency of hospitals was 0.958, 0.986 and 0.963 respectively. We concluded that the capacity of efficiency promotion in hospitals is increasable up to 5%. In addition, the nurses as one of the most important input variables, had the most apparent slack inputs. Conclusion: Although the level of efficiency was optimal and there was little unused capacity for increasing efficiency in hospitals, however, managers should plan to increase the efficiency. Finally, assessing the effect of variables such as service quality and patient satisfaction on hospitals efficiency is recommended.
Qualitative Performance Evaluation of Hospitals Using DEA, Balanced Scorecard and Servqual; A Case Study of General Hospitals of Yazd
M Asadi,H Mirghafoori,Z Sadeqhi Arani,H Khosravanian
Journal of Shahid Sadoughi University of Medical Sciences , 2011,
Abstract: Introduction: Evaluation is an important factor in productivity context, and acts as a control system for other areas of productivity. Hospitals are large organizations incurring heavy expenses in every country. The level of efficiency in a hospital is a good criterion to understand how hospitals consume their resources. The goal of this research was to determine relative efficiency of 13 public hospitals in Yazd province by using integrated DEA, BSC and SERVQUAL model. Methods: In this study, relative efficiency of 13 public hospitals of Yazd province was calculated using data envelopment analysis technique(DEA) and balanced score card and servqual. BSC was used as a tool for designing of performance evaluation indexes, while DEA was used as a tool of evaluating performance and ranking. Results: The mean relative efficiency of hospitals under study was about 0.945 in the Persian calendar year 2008-9. The efficiency levels of nine hospitals were borderline and the efficiency of four hospitals was less than 1. Hospital no.3 had the highest efficiency levels and hospital no.10 had the lowest efficiency level. Conclusion: In this stage, on the basis of references presented by the DEA model, solutions for increasing the quality performance levels of inefficient hospitals in fourth dimensions were determined and some suggestions were proposed. Although all performance indices of the inefficient hospitals need to be addressed, priorities have to be determined by the respective managers.
Razli Che Razak
Asian Academy of Management Journal , 2003,
Abstract: Traditionally, productivity is defined in terms of the efficiency of transforming inputs into outputs. However, researchers have always argued that the concept of productivity should not be limited to efficiency only, ignoring the phenomenon of effectiveness. This is particularly true in an organization that is not profit-oriented, such as non-governmental and governmental organizations, where efficiency may take a back seat as opposed to effectiveness. This paper takes the approach of measuring productivity by incorporating both efficiency and effectiveness, when measuring the productivity of public hospitals in Malaysia. However, given the different unit of measures as well as the differences in the nature of the data measuring efficiency and effectiveness, we needed a method that was able to combine both subjective as well as objective data. Thus, we found the Data Envelopment Analysis (DEA) most useful for a composite measure of productivity. The main findings show that productivity measures using both efficiency and effectiveness through the DEA is more meaningful than a measure with efficiency only. The effectiveness variable is found to have an impact on measuring productivity.
Technical efficiency of district hospitals: Evidence from Namibia using Data Envelopment Analysis
Eyob Zere, Thomas Mbeeli, Kalumbi Shangula, Custodia Mandlhate, Kautoo Mutirua, Ben Tjivambi, William Kapenambili
Cost Effectiveness and Resource Allocation , 2006, DOI: 10.1186/1478-7547-4-5
Abstract: All public sector hospitals (N = 30) were included in the study. Hospital capacity utilization ratios and the data envelopment analysis (DEA) technique were used to assess technical efficiency. The DEA model used three inputs and two outputs. Data for four financial years (1997/98 to 2000/2001) was used for the analysis. To test for the robustness of the DEA technical efficiency scores the Jackknife analysis was used.The findings suggest the presence of substantial degree of pure technical and scale inefficiency. The average technical efficiency level during the given period was less than 75%. Less than half of the hospitals included in the study were located on the technically efficient frontier. Increasing returns to scale is observed to be the predominant form of scale inefficiency.It is concluded that the existing level of pure technical and scale inefficiency of the district hospitals is considerably high and may negatively affect the government's initiatives to improve access to quality health care and scaling up of interventions that are necessary to achieve the health-related Millennium Development Goals. It is recommended that the inefficient hospitals learn from their efficient peers identified by the DEA model so as to improve the overall performance of the health system.At the Millennium Summit in 2000, Member States of the United Nations (UN) reaffirmed their commitment to eradicate world poverty and improve the health and welfare of the world's poorest by 2015 [1]. Health is at the centre of the MDGs. Three of the eight goals are health MDGs – MDGs 4, 5 and 6 related to child health, maternal mortality and diseases such HIV, tuberculosis and malaria respectively. Besides, health contributes significantly to the achievement of the other MDGs [1].The achievement of the health-related Millennium Development Goals (MDGs) and related initiatives, among other things, requires the availability of adequate resources for the health sector to improve access and
Measuring the relative efficiency of Ilam hospitals using data envelopment analysis  [PDF]
Farzad Khani,Hossein Naderi,Mehdi Zangeneh,Ehsan Fazeli
Management Science Letters , 2012,
Abstract: Measuring the relative efficiency is one of the most important issues among hospitals in today's economy. These days, we hear that cost reduction is a necessity for survival of business owners and one primary to reduce the expenditures is to increase relative efficiency. The proposed study of this paper first uses output oriented data envelopment analysis (DEA) to measure the relative efficiencies of nine hospitals. The proposed model uses four types of employee namely specialists, physicians, technicians and other staffs as input parameters. The model also uses the number of surgeries, hospitalized and radiography as the outputs of the proposed model. Since the implementation of DEA leads us to have more than one single efficient unit, we implement supper efficiency technique to measure the relative efficiency of efficient units.
An Expert System Approach to Medical Region Selection for a New Hospital Using Data Envelopment Analysis  [PDF]
Chin-Tsai Lin, Chuan Lee, Zhi-Jun Chen
iBusiness (IB) , 2010, DOI: 10.4236/ib.2010.22016
Abstract: An appropriate medical region must be selected before establishing a new hospital. Once established, a hospital may bring many medical doctors and facilities to the area. Not only can the distribution of medical resources in that area be influenced, but also competition among different hospitals can be enhanced. The government needs to consider the issue of medical resource distribution; therefore, medical region selection has important policy implications. This study uses data envelopment analysis (DEA) to establish the effective indicators, and also uses an expert system on the equality of medical resource distribution to identify medical areas lacking medical resources and where there is relatively less competition. As a result, this study can provide the necessary information to facilitate the choice of region for a new hospital. This method not only avoids assigning a hospital to a medical region where there are surplus resources, but it can also reduce the risk of excessive competition.
La eficiencia de los Hospitales Colombianos en el contexto Latinoamericano. Una aplicación de Análisis Envolvente de Datos (DEA) en un grupo de hospitales de alta complejidad, 2009 The efficiency of Colombian hospitals in the Latin American context. An application of Data Envelopment Analysis (DEA) in a group of complex surgeries hospitals, 2009  [cached]
Jorge Navarro Espa?a,Francisco Maza ávila,Rafael Viana Barceló
Ecos de Economía , 2011,
Abstract: Los servicios médicos de alta complejidad constituyen un sector con alto potencial de generación de divisas y buen desempe o competitivo por el acceso a altos desarrollos tecnológicos. La medición de la eficiencia en este sector en el país es un aspecto importante si se quiere ser competitivo. Con una muestra de 20 hospitales y clínicas latinoamericanos en el a o 2009, utilizando la información suministrada por América Economía, se midió la eficiencia de 5 entidades colombianas incluidas allí. La medición se hizo mediante la metodología DEA. Los resultados arrojaron que 4 de las entidades colombianas se encuentran sobre la frontera de eficiencia y la restante solo debe hacer ajustes en el uso del espacio físico, en aquellos campos en los que esto sea posible. La conjunción de eficiencia, precios competitivos y calidad del servicio le auguran un buen futuro a los servicios médicos de alta complejidad en el país. Abstract The medical services of complex surgeries is a sector with high potential for generating foreign exchange and it owns a good competitive performance due the access to high technology developments. The measurement of efficiency in this sector in the country is an important aspect, if we want to be competitive. In a sample of 20 Latin American hospitals, was measured the efficiency of the group of 5 Colombian entities included there. The measurement was made by the DEA methodology. The results showed that 4 of the Colombian institutions are on the efficient frontier and the remaining one must make adjustments in the use of physical space in those areas where this is possible. The combination of efficiency, competitive prices and quality service, augur a good future for medical services of complex surgeries in Colombia. The medical services of complex surgeries is a sector with high potential for generatingforeign exchange and it owns a good competitive performance due the access to hightechnology developments. The measurement of efficiency in this sector in the countryis an important aspect, if we want to be competitive. In a sample of 20 Latin Americanhospitals, was measured the efficiency of the group of 5 Colombian entities includedthere. The measurement was made by the DEA methodology. The results showed that4 of the Colombian institutions are on the efficient frontier and the remaining one mustmake adjustments in the use of physical space in those areas where this is possible. Thecombination of efficiency, competitive prices and quality service, augur a good future formedical services of complex surgeries in Colombia.
Assessment of technical efficiency of hospitals under Hamadan University of Medical Sciences on performance indicators and data envelopment analysis model in 2010  [cached]
Reza Safi Arian,Reza Shahhoseini
Pajouhan Scientific Journal , 2013,
Abstract: Introduction: This study was aimed to evaluate the technical efficiency of Hamadan University of Medical Sciences and functional indexes based on using mathematical model analysis of inclusive data (DEA) in 2010.Material and Methods: This study is a cross – sectional, the data field of library and information through the use of doctoral dissertations and master and go directly to the hospital and the University's center for statistics. This method has limitations in dealing method using data envelopment analysis (DEA) to evaluate the technical efficiency of hospitals DEAP2 prescription coverage has been Hamadan University of medical sciences. The model used in this study analysis of multistage DEA model is used for the minimization of production factors and output variables.Results: Data inputs include the number of groups of physicians (general practitioners, specialists, doctors intern in teaching hospitals, physician residents in teaching hospitals), the number of nurses (nurses, nurse aid, nurse), the number of staff and beds and the output includes the number of surgeries, number of ambulatory patients, the percentage of occupied beds, average bed day stay patient is hospitalized. Then calculate the technical efficiency of hospitals and hospital efficiency (efficiency coefficient E=1) and the inefficient (the unit) is obtained.Discussion: The most important factors for technical efficiency in hospitals have been incorrect use of beds patient-day in sufficiency and bed-days occupied. Finally in Hamadan average surplus factor (input), respectively: 3 physician, 9 nurses, 8 other personnel and 3 active beds and there should be surplus production factors surplus to be removed to hospitals in the province average to reach the desired level of technical efficiency. The findings in this study shows the highest ratio of technical efficiency in Besat, Beheshti, Farshchian, Imam Hussein Malayer, ValiAsr Razan, Ali Moradian and Heydari Nahavand, Ghaem and Amiralmomenin Asadabad hospitals in comparison with other hospitals is.
Determination of Technical Efficiency of Hospitals Affiliated with Tehran University of Medical Science by the Data Envelopment Analysis Method: 1996 – 2006
A Pourreza,Gh Goudarzi,H Azadi
Journal of School of Public Health and Institute of Public Health Research , 2009,
Abstract: Background and Aim: The hospital is considered as the biggest and the most costly unit of a health care system. Therefore, paying full attention to its cost efficiency is very important. The objective of this study was to assess the technical efficiency of hospitals affiliated with Tehran University of Medical Science by data envelopment analysis method.Materials and Methods: Technical efficiency in hospitals affiliated with Tehran University of Medical Sciences was assessed by Data Envelopment Analysis (DEA) from 1996 to 2006. The input-oriented form of variable return-to-scale (VRS) was used to collect the data using 4 inputs (number of beds, nursing staff, medical personnel, and other personnel) and 4 outputs (outpatient admissions, hospitalized-patient days, bed occupations, and the number of surgical operations performed). The software used for data analysis was Deap 2.1. Results: The DEA results indicate that: 1.There is a potential to improve the hospital technical efficiency by 3 % (the mean technical efficiency of the hospitals was 0.972); 2. Constant return-to-scale (CRS) exists in the production process, meaning that production in the hospitals is at its optimum level; 3. Hospital services have suffered from extra production factors, especially human resources (specifically the nursing staff).Conclusion: With proper planning, limiting the number of personnel can reduce greatly health care costs and hospital expenditures. It is suggested to conduct studies to determine the effects of the quality of services delivered in hospitals and patient satisfaction on hospital technical efficiency.
Analysis of the efficiency of hospitals in Senegal: a DEA method application
Mané PYB
Pratiques et Organisation des Soins , 2012,
Abstract: Summary Aims: The objectives of this study were to quantify the technical efficiency of hospitals in Senegal, and to evaluate changes in efficiency over a five years period due to technology change. Methods: Data Envelopment Analysis method (DEA) was used to quantify hospital technical efficiency. The Malmquist index permits to evaluate change in productivity due to change in technology. Results: The analysis revealed that hospitals show on the whole only 68% of efficiency. Then, for being efficient, they must improve their output by 32%. Hospitals with 200-300 beds present bigger efficiency score than small hospitals with less than 200 beds. Those hospitals also benefit more technical progress effect than others while they are few in the health system compared to smaller hospitals that have the lowest efficiency scores. Conclusion: Small hospital that the literature find more efficient for developing countries show the lowest efficiency score. These results imply small hospitals to be merged for benefiting economies of scale. However, the merging politic counters to the equity research in equal access to hospital's healthcare and also counters to WHO's performance criteria like the number of person covered by a hospital. In addition, this analysis is nuanced and efficiency could possibly be improved. Beyond the size of small hospitals, the interest remains to know whether or not it is efficient to combine different type of healthcare at the same facility. Prat Organ Soins. 2012;43(4):277-283
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