Microeconomic Analysis of Healthcare Services in Bou Ali Sina University Hospital


1 Department of Health Services Management, School of Public Health, Baqiyatallah University of Medical Sciences, Tehran, Iran

2 Department of Health Services Management, School of Health Management and Information Sciences, Tehran University of Medical Sciences, Tehran, Iran

3 Hasheminejad Kidney Center, Tehran University of Medical Sciences, Tehran, Iran

4 Department of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran


Background and Objectives: Efficient hospital management requires appropriate cost and price strategies. Informed decision on costs and prices of healthcare services needs estimation of costs of unit services using microeconomic techniques. There is lack of knowledge and skills for such costing methods in the healthcare sector of developing countries such as Iran. This study aims at detail description of a relatively simple microcosting method by cost analysis of unit healthcare services in Bou Ali Sina University Hospital affiliated to Qazvin University of Medical Sciences, Iran.
Methods: A cross-sectional descriptive study was conducted in Bou Ali Sina hospital over the period of October- December 2010. A volume-based top-down microcosting approach was adopted to calculate the average costs of unit services in the facility. Hospital departments were identified and clustered into three categories of general/overhead, intermediate, and final cost centers. The costs were classified into two direct and indirect groups. Data was collected using standard operational budgeting sheets. Costs were prorated using a step-down allocation method. Final units’ bed-day indices and the revenue generated from medication services were determined by reviewing hospitalized patient records. The net profit of each medication unit was calculated based on services cost data and occupied bed-day data. Hospital financial performance was analyzed using break-even analysis.
Findings: Over half of the hospital costs were found to incur in intermediate departments (Nutrition, Laboratories, Pharmacy, and Diagnosis Testing departments), and the rest were equally related to general/overhead and final units. Over 75% of the hospital expenditures were direct costs, half of which being related to human resources expenses. An 80% bed-day occupancy rate was identified, with CCUs having the highest, and Ophthalmology Ward having the lowest rate. The hospital turned out to be in net loss with the majority of losses caused by ICU, CCU 2 and Internal Ward 1. The data suggests that the hospital can make significant revenue by activating unoccupied bed-day capacity of Ophthalmology and Heart wards.
Conclusions: Microeconomic analysis of unit services is instrumental to identifying the areas requiring strengths and areas for improvement in hospital financial management. Such an analysis can also provide insight into practical strategies for improving hospital financial performance.