Abstract: This paper seeks to measure and determine the important factors in technical efficiency of private sector hospitals in all governorates in Egyptusing Data Envelopment Analysis (D.E.A.) and Discriminant Analysis (D.A.).
D.E.A. is a non-parametric linear programming based technique used for measuring the technical efficiency of private sector hospitals in all governorates in Egypt (27 Governorates) for years 2007 and 2010, we identified seven inputs and six outputs. The input variables are number of doctors, nursing staff, pharmacists, physiotherapists, hospitals, medical laboratories and number of beds. The output variables are number of internal clinic patients, patient days, laboratory tests, major operations, medium sized operations and minor operations. In 2007, we found only 15 governorates efficient, while in 2010, we found only 13 governorates efficient.
While D.A. aims at finding the best set of variables that can be used to predict the efficiency of hospitals in all governorates, we identified binary grouping value (zero or one) and seven independent variables. The independent variables are number of doctors, nursing staff, pharmacists, physiotherapists, hospitals, medical laboratories and number of beds. The following discriminant functions indicate to these results. In 2007, we found that only number of physiotherapists’ variable is the most importance variable to distinguish between two groups (efficiency or non-efficiency); while in 2010, we found that number of doctors and physiotherapists is the most important:
(Ln number of physiotherapists) 2007
(Ln number of doctors)
+ 3.054 (Ln number of physiotherapists). 2010
Test of the model has been done and it was found to be able to predict the distinction between the efficient and non-efficient governorates with accuracy 73.1% in 2007 and 2010. |