The effects of introducing an electronic prescription system with no copayments

Health Economics Review

Table 3 Fixed effect regression of the per capita monthly number of daytime phone consultations with patients and daytime office consultations

	Daytime phone consultations			Daytime office consultations
Variable	Coefficient		Standard Error	Coefficient		Standard Error
E-prescription	0,0028	***	0,0009	−0,0005		0,0013
February	−0,0058	***	0,0002	−0,0255	***	0,0009
March	−0,0008	**	0,0004	−0,0058	***	0,0008
April	−0,0127	***	0,0005	−0,0638	***	0,0028
May	−0,0064	***	0,0005	−0,0194	***	0,0010
June	−0,0053	***	0,0005	−0,0154	***	0,0011
July	−0,0266	***	0,0008	−0,0781	***	0,0040
August	−0,0140	***	0,0007	−0,0287	***	0,0017
September	−0,0066	***	0,0007	−0,0014		0,0020
October	−0,0031	***	0,0062	0,0029	*	0,0016
November	0,0017	***	0,0000	0,0139	***	0,0016
December	−0,0128	***	0,0006	−0,0308	***	0,0020
Constant term	0,0773	***	0,0004	0,2532	***	0,0011

*** Statistically significant at the 1 % level (**; 5 %, *; 10 %). Robust estimation of standard errors was used since the Modified Wald test indicated presence of groupwise heteroscedasticity

ISSN: 2191-1991