Showing 6 results for Darvishi
R Goudarzi, Mh Mehrolhassani, R Dehnavieh, A Darvishi,
Volume 12, Issue 0 (Special Issue Vol.12 2017)
Abstract
Background and Objectives: Efficiency measurement can be used for all decision-makers and planners for useful resource allocation. Social Security Organization as a health service provider, provides part of health care services in indirect sector. This study aimed to assess the performance of provincial units of Social Security Organization in the indirect health services sector.
Methods: This descriptive analytical study was conducted based on the available data of Social Security Organization in 2014. To assess efficiency and super-efficiency, the DEA-VRS and Anderson-Peterson rating model were used, respectively. Factors affecting the efficiency was evaluated using multivariate regression.
Results: The primary efficacy analysis showed that 61% of the provincial units of Social Security had maximum efficiency. Average efficiency was 0.94. After super-efficiency analysis, it was found that Markazi and Kerman provincial units were the most efficient and the most inefficient units, respectively. Additionally, none of the variables had a significant impact on the efficiency.
Conclusion: Evaluation of the general performance of provincial units reflected the good state of technical efficiency in the indirect health service sector. On the other hand, the scale efficiency of inefficient units compared with managerial efficiency had a higher share of inefficiency. Optimum performance can be achieved through modification of managerial practices for optimal utilization of resources and factors.
Mh Mehrolhassani, R Goudarzi, V Yazdi Feyzabadi , Ss Pourhosseini, A Darvishi,
Volume 14, Issue 0 (Special Issue, Vol.14, 2019)
Abstract
Background and Objectives: Improving the efficiency and productivity of the higher education, especially in the field of research on health sciences, is one of the characteristics of sustainable development in today's societies. This study aimed to measure the efficiency and productivity of Iran's Medical Sciences Universities (MSU) in the research function.
Methods: In a descriptive study, the research function of fourty five MSUs in Iran was evaluated using data envelopment analysis (DEA) method and Malmquist index in 2010, 2013, and 2016 years. Measurement of both efficiency and Malmquist index was developed and modeled based on the assumption of variable returns to scale (VRS) and output-oriented. Also, the ranking of efficient units was done using Anderson-Patterson's model.
Results: The mean research efficiency was estimated to be 0.86. Findings of Malmquist index showed that between 2010 and 2013, there was a 6% growth in the productivity; while the performance of universities had a 12% drop in research function from 2013 to 2016. Also, the average total productivity during two periods is 0.96, indicating 4% reduction in research efficiency which technology efficiency growth has dropped by 8% and other components of total productivity had a positive growth.
Conclusion: The results of the study showed that universities do not work efficiently and average productivity has been decreasing which was mainly due to a decline in the efficiency of technology, which despite the development of technology in recent years could be the result of the lack of effective use of it.
Mh Mehrolhassani, R Goudarzi, V Yazdi Feyzabadi, Ss Pourhosseini, A Darvishi,
Volume 14, Issue 0 (Special Issue, Vol.14, 2019)
Abstract
Background and Objectives: The higher education system plays an important role in the socio-economic development of the country due to its mission in training the required human resources. Therefore, performance evaluation of different sectors of higher education is of great importance. The present study was conducted to evaluate the educational efficiency and productivity changes of Iranian medical sciences universities.
Methods: This descriptive study was conducted in 2011, 2014, and 2017 to evaluating the performance of 43 Iranian medical universities using Data Envelopment Analysis and output oriented approach. In addition, productivity changes were measured using the Malmquist index. For this purpose, Deap 2.1 software was used. The Anderson Patterson Model and EMS software were also used to rate the units accurately.
Results: The average educational efficiency of medical universities was 0.97 in the study years. The average total productivity based on the Malmquist Index was 1.05, and educational productivity of the universities showed an average growth of 5% over the study years. This growth was 1% from 2011 to 2014 and 10% from 2011 to 2017.
Conclusion: The results of the study showed the acceptable efficiency of the education sector of Iranian medical sciences universities. Moreover, a positive increasing trend was observed in the productivity of the education sector during the study years. Further research using quality and quantity measures are necessary to assess the educational performance of medical universities more accurately.
Gh Moradi, Kh Rahmani, P Hemati, H Akbari, F Rezaei, M Dadras, B Amiri, H Erfani, M Soroush, S Darvishi, J Soltani, T Mokhtari Azad , Mm Gouya,
Volume 15, Issue 2 (Vol.15, No.2 2019)
Abstract
Background and Objectives: Iran, like most other countries in the world, is always threatened with global epidemics and pandemics of influenza. The purpose of this study was to review the influenza surveillance system in Iran.
Methods: Data of this study were obtained from the surveillance system of the Center for Communicable Disease Control, the review of records, documents, books and published articles and also interviews with process owners and experts of influenza surveillance in 2017-2019.
Results: Influenza surveillance in Iran Currently, a combination of surveillance methods, including caring for patients, laboratory care, hospital care and surveillance of respiratory disease epidemics and also border surveillance. Reporting of human influenza outbreaks, as well as suspected avian flu as main notifiable diseases carried out through telephone. For each suspect case, in addition to taking and sending a sample to diagnose and also detect subtypes of the virus, medical treatment is immediately initiated and tracking of possible contacts is also done.
Conclusion: Although there is currently good coherence in the surveillance of influenza in Iran, but based on concerns about the emergence of influenza pandemics in the future, and considering the possible genetic variation of the flu viruses, the tracking of the flu virus circulation along with updating surveillance system especially emphasizing methods and formulas for rapid identification of disease outbreaks, as well as providing better health care and treatment is essential.
F Najafi, Gh Moradi, M Mohamadi Bolbanabad , S Rezaei, R Safari Faramani , B Karami Matin , B Piroozi, S Darvishi, T Mohamadi, Sh Amiri Hoseini, B Zarei, A Azadnia,
Volume 16, Issue 3 (Vol.16, No.3 2020)
Abstract
Background and Objectives: On 12 November 2017, an earthquake with a magnitude of 7.3 on the Richter scale occurred in Kermanshah Province. Explaining the challenges and needs of the victims in such circumstances can be an important source of information for future planning and better management of such conditions. Thus, the purpose of this study was to explain the challenges and needs of the earthquake victims.
Methods: This study was a qualitative study. Twenty-nine semi-structured interviews were conducted with managers, policymakers, and health and emergency relief providers in earthquake areas, and 10 focused group discussions were held with earthquake victims from December to February 2016. The data were analyzed using conventional content analysis.
Results: The needs and challenges in Kermanshah earthquake were classified into three periods after the earthquake: 1. Challenges and needs in the first few days with three sub-categories including management, rescue services, and urgent care, 2- Challenges and needs in the first few weeks after the earthquake with three sub-categories including housing and emergency assistance, public health services, and access to health care; and 3. Needs and challenges in several months after the earthquake with four sub-categories including economic, social, infrastructural and health service needs.
Conclusion: Lack of unity of command was the main challenge in this earthquake. Another point was the health needs of victim earthquakes over time. Therefore, dispatching of aid forces to the affected areas during natural disasters should be based on planning and needs.
A Darvishi, S Emamgholipour Sefiddashti , M Rajabi, Mh Mehrolhassani, V Yazdi Feyzabadi,
Volume 17, Issue 1 (Vol 17,No.1, Spring 2021 2021)
Abstract
Background and Objectives: Fair financial protection against health expenditures is one of the most critical goals of health systems. This study was conducted to investigate the most appropriate threshold for measuring the exposure to catastrophic health expenditure (CHE) in Iran.
Methods: The present study was conducted using 2018 national household income and expenditure data of the Iran statistics center. The occurrence and intensity of the households' exposure to CHE at different thresholds and for economic quintiles was measured using two World Health Organization (WHO) and World Bank (WB) methodologies. The most appropriate threshold for each methodology was also determined using the Kappa statistics adaptation estimation.
Results: The occurrence of households’ exposure to CHE was 3.02% and 8.51% in urban households and 4.66% and 9.22% in rural households, respectively. According to asset quintiles, the highest occurrence was in the first quintile and the lowest in the fifth quintile. In addition, the results of adaptation estimation based on Kappa statistics showed that a threshold of 40% in the WHO methodology and 25% in the WB methodology were the most appropriate thresholds.
Conclusion: The results showed a relatively high rate of exposure to CHE. CHE occurrence was also more in poorer households, and common thresholds were the most appropriate thresholds for estimating CHE.
