Statistical Study Concerned with The Sum Spent on Medicines

Abstract

The number of prescriptions which may influence the sum spent on medicines was statistically analyzed on the basis of the past 10-year survey. The influence rate (in terms of a square number of correlation coefficient) of the number of prescriptions was 87.0%, which was thought high enough.
Each sum spent on medicines classified by their efficacy was examined according to ABC analysis method on the basis of a 2-year survey. Further, equality of share was examined according to Lorenz Curve and Gini coefficient. Gini coefficients showing the rate of inequality were 0.33 and 0.31, respectively. This indicates that the shares of the classified medicines at our hospital were comparatively inequal.