Volume 6, Issue 2 (Summer 2023)
Iran J Health Insur 2023, 6(2): 103-112 |
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Osta S, Badpa B. Investigating the Performance of Agencies and Counter Offices of the Contracting Party of the Iran Health Insurance Organization in Ilam Province With the Method of Data Envelopment Analysis. Iran J Health Insur 2023; 6 (2) :103-112
URL: http://journal.ihio.gov.ir/article-1-273-en.html
URL: http://journal.ihio.gov.ir/article-1-273-en.html
1- Department of Accounting, Ilam University, Ilam, Iran , s.osta@ilam.ac.ir
2- Department of Accounting, Ilam University, Ilam, Iran
2- Department of Accounting, Ilam University, Ilam, Iran
Abstract: (1020 Views)
Introduction: Performance evaluation is the basis of many decisions and plans that can lead to the success of the organization, and efficiency is considered a very suitable criterion for evaluating the performance of companies and organizations. Based on this, the purpose of this research is to investigate the performance of agencies and counter offices of the contracting party of the Health Insurance Organization by measuring efficiency using the technique of data envelopment analysis.
Methods: In this study, the data of the representative offices and counter branches of the contracting government of Iran Health Insurance Organization in Ilam province, Iran in the third quarter of 2021 were analyzed. For data analysis, non-radial data envelopment analysis model was used, in which evaluation indicators were selected using confirmatory factor analysis method and using Smart PLS software. The SBM model was used to determine the efficiency, and finally, the Super-SBM method was used to rank the efficient units.
Results: The research showed that among the examined units, during the evaluation period, 4 units had efficient performance and 12 ineffective units, among the efficient units, the unit with the best performance was determined and among the inefficient units, the unit with the worst performance was determined.
Conclusion: In the evaluation period, the number of inefficient units was more compared to efficient units. It is recommended to measure the efficiency and productivity of the counter offices and branches of health insurance contracting parties in different cities of Iran, especially the provincial centers, on an annual basis, so that by providing practical solutions, the situation of the agencies and offices can be improved. It is also necessary for them to be fully aware of their expectations and to be more responsive to their clients.
Methods: In this study, the data of the representative offices and counter branches of the contracting government of Iran Health Insurance Organization in Ilam province, Iran in the third quarter of 2021 were analyzed. For data analysis, non-radial data envelopment analysis model was used, in which evaluation indicators were selected using confirmatory factor analysis method and using Smart PLS software. The SBM model was used to determine the efficiency, and finally, the Super-SBM method was used to rank the efficient units.
Results: The research showed that among the examined units, during the evaluation period, 4 units had efficient performance and 12 ineffective units, among the efficient units, the unit with the best performance was determined and among the inefficient units, the unit with the worst performance was determined.
Conclusion: In the evaluation period, the number of inefficient units was more compared to efficient units. It is recommended to measure the efficiency and productivity of the counter offices and branches of health insurance contracting parties in different cities of Iran, especially the provincial centers, on an annual basis, so that by providing practical solutions, the situation of the agencies and offices can be improved. It is also necessary for them to be fully aware of their expectations and to be more responsive to their clients.
Type of Study: Research |
Subject:
Special
Received: 2023/02/13 | Revised: 2023/11/19 | Accepted: 2023/08/6 | ePublished: 2023/09/20
Received: 2023/02/13 | Revised: 2023/11/19 | Accepted: 2023/08/6 | ePublished: 2023/09/20
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