Document Type : Original Research Article

Authors

• Ali Maher ¹
• Leila Mehrdana ²
• Mehrnoosh Jafari ³

¹ Assistant Professor of Health Policy, School of Management and Medical Education, Shahid Beheshti University of Medical Sciences, Tehran, Iran

² Student of the Department of Health Services Management, Faculty of Management, Islamic Azad University, Tehran Branch, North Tehran, Iran

³ Assistant Professor, Department of Health Care Services Management, Faculty of Management, Islamic Azad University, Tehran Branch, North Tehran, Iran

Abstract

The present study is descriptive in terms of applied purpose. The statistical population of this study includes the staff (supervisors, head nurses, staffs of wards) of private hospitals in Tehran, including 140 people, by using Morgan table, 100 of these people were selected in the mentioned hospitals and by using cluster random sampling method, five hospitals were selected as a sample. In this study, a questionnaire with Likert spectrum and fuzzy analytical network process was used to perform pairwise comparisons. The average Cronbach''s alpha coefficients were calculated above 0.8, which indicates that the opinions are reliable and have good reliability. According to the analytic hierarchy process and prioritization of criteria, it can be seen that "proper use of medical and non-medical consumables (S)" has the highest rank with a final weight of 0.107065 and "supervision of department warehouses and their organization (W)" with the final weight of "0.00559g" has the lowest rank of the factors related to reducing the cost of private hospitals in Tehran. The results of the study showed that the majority of units in the studied hospitals had operational losses despite their high capacity. In many of the studied units, there was a significant discrepancy between the number of services provided and the amount of services required to locate the operational center at the head point, and these factors impose a financial burden on the studied hospitals.

Graphical Abstract

Keywords

• Cost Reduction
• Private Hospitals
• Analytic Network Process (ANP)

Main Subjects

• Clinical Medicine

 

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