Hospitals productivity measurement using data envelopment analysis technique

This study aimed to measure the hospital productivity using data envelopment analysis [DEA] technique and Malmquist indices. This is a cross sectional study in which the panel data were used in a 4 year period from 2007 to 2010. The research was implemented in 12 teaching and non-teaching hospitals of Ahvaz County. Data envelopment analysis technique and the Malmquist indices with an input-orientation approach, was used to analyze the data and estimation of productivity. Data were analyzed using the SPSS.18 and DEAP.2 software. Six hospitals [50%] had a value lower than 1, which represents an increase in total productivity and other hospitals were non-productive. The average of total productivity factor [TPF] was 1.024 for all hospitals, which represents a decrease in efficiency by 2.4% from 2007 to 2010. The average technical, technologic, scale and managerial efficiency change was 0.989, 1.008, 1.028, and 0.996 respectively. There was not a significant difference in mean productivity changes among teaching and non-teaching hospitals [P>0.05] [except in 2009 years]. Productivity rate of hospitals had an increasing trend generally. However, the total average of productivity was decreased in hospitals. Besides, between the several components of total productivity, variation of technological efficiency had the highest impact on reduce of total average of productivity

study on the direct and indirect costs of multiple sclerosis based on expanded disability status scale score in Khuzestan, Iran

Multiple sclerosis is a common and chronic neurologic disorder. This disorder imposes physical, economic, and psychosocial burden on individuals, their families and society. This study aims to analyze the costs of multiple sclerosis disease based on the severity of disability. We performed a cross-sectional cost of illness study. This study was conducted in 332 patients of Khuzestan province of Iran. Data were included: Patient's characteristics, disability status, medical, and nonmedical costs and were gathered by using the questionnaire during 3 months period. Costs analysis was performed in the basis of expanded disability status scale [EDSS]. Data were analyzed by using SPSS 18 software. Mean age of the patients was 33.5 [standard deviation [SD]: 9.1] and 70.5% of patients were female. Mean EDSS score of the patients was 2.2 [SD: 1.6]. Most patients [92.1%] had relapsing remitting multiple sclerosis [MS] form of the disease. Costs mean per patients was 8.6 +/- 7.9 million Rial. The direct and indirect costs were 93.1% and 6.9% of total costs, respectively. The major cost of the disease belongs to the pharmaceutical treatment [22% of costs]. The majority costs [approximately 62%] attributed to EDSS of 6-7 and >7. Furthermore, there was strong significant relationship between cost of illness and disability severity of patients [P < 0.05]. Cost mean per MS patients was relatively high. Furthermore, the results showed that cost of disease had positive and significant relationships with EDSS score that is, progression of disability increase costs of patients