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Reza Goudarzi, Safiye Yaghoubi, Mohsen Barouni, Abbas Etminan, Mohammad Reza Baneshi, Behzad Mohamadi,
Volume 14, Issue 4 (1-2016)
Abstract

Background: Chronic renal failure disease is considered as a health problem . Because of their high prevalence and economic burden on the society, health system managers consider to the disease as a public health concern.  This study aimed at comparing the cost-effectiveness of long-term dialysis treatments and kidney transplant using DALY index.

Materials and Methods:This cross-sectional study was designed to compare the cost-effectiveness of two methods such as long-term hemodialysis and kidney transplant using Disability Adjusted Life Years (DALY) in Afzalipour Hospital of Kerman in 2012. The decision tree model and TreeAge software were used for data analysis. In this research, costs and effects were studied from the patient perspective.

Results: The cost of a kidney transplant was 165 million Rials, effectiveness of a kidney transplant was 4.40 DALY, chronic dialysis cost was 1.283 billion Rials and its effectiveness was 6.52 DALY. Cost-effectiveness ratio for dialysis was 196 million Rials per DALY and this ratio is 37 million Rials per DALY for a kidney transplant respectively. According to the findings, kidney transplant is more cost effective than dialysis.

Conclusion: This study suggests kidney transplant over dialysis due to its better quality of life and more life expectancy. The results can help out the government to decide about the more resource allocation to kidney transplant programs. The method in this research can be applied to measure the cost-effectiveness of other organs transplantation.


Fatemeh Esmaili, Dr Mohammadhosein Mehrolhassani, Dr Reza Goudarzi, Dr Mohsen Barouni,
Volume 18, Issue 2 (8-2019)
Abstract

Background: Considering the increasing growth in health care costs along with the resources finitude; therefore, improving the efficiency and efficient use of resources is considered as one of the main priorities of the health system. The aim of this study was to determine the efficiency of direct medical services affiliated with Iranian Social Security Organization using Stochastic Frontier Analysis (SFA) Method in 2008-2015.
 
Materials & Methods: In this descriptive- analytical study, performance of 30 units of direct medical services affiliated with Iranian Social Security Organization was analyzed using Stochastic Frontier Analysis (SFA) Method. The number of active beds, physicians, nurses and staff were used as inputs and combined variables obtained from factor analysis were selected as output. Frontier version 4.1 was used to determine the efficiency and Stata version 14 was used to study the effective factors on efficiency.
 
Results: The average technical efficiency of studied units was 0.816. Based on the value of index of likelihood ratio test ( LR = 100.45 ), Cobb-Douglas production function was selected as the best model.
 
Conclusion: Based on the findings of this study, adjusting surplus manpower, congenital planning for increasing efficiency and resource management should be the priority of the managers so that they can increase the level of efficiency of studied units and reduce the costs to the least possible.
 
Zinab Shaker, Zohreh Shaker, Mohsen Barouni, Asma Sabermahany,
Volume 21, Issue 1 (5-2022)
Abstract

Background and Aim: Hospital is organization which its performance improvement is very important. In order to do this, we must evaluate the allocated resources and performance of hospitals. Calculating hospitals efficiency is one of the possible ways to evaluate the performance of them. In this study, the efficiency of allocated financial and human resources of public hospitals by provinces is examined.
Materials and Methods: This study was conducted in 2017-2018. Data were collected from 31 provinces of Iran. Input (including: number of physicians, number of nurses and number of active beds per ten thousand population) and output (number of hospitalizations and number of outpatients per ten thousand people). Data were collected from studies. The efficiency analyzing of the provincial treatment department was performed with DEAP software.
Results: The input population (nurse, doctor, bed) is related to hospitals and health centers in Semnan, Yazd and Mazandaran provinces And the least amount of input was related to Sistan and Baluchestan, Khuzestan, North Khorasan provinces. The highest output (inpatient and outpatient) belongs to East Azarbaijan province and the lowest output belonged to Hamedan province. Efficiency score, variable return to scale and constant return to scale for all hospitals in the country are 0.565, 0.813 and 0.47, respectively.
Conclusion: proper and correct distribution of resources between provinces may increase efficiency of resource distribution.

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