Barriers in access to healthcare services for chronic patients in times of austerity: an empirical approach in Greece

Table 4 Ordinal Logistic Regression of geographical barriers in access to healthcare services

Access geographic	Coef.	Std. Err.	z	p > \|z\|	95% Conf. interval
Income	-0.127	0.035	-3.60	0.000	-0.196, -0.058
Occupation 2	0.674	0.209	3.23	0.001	0.265, 1.083
Occupation 3	1.457	0.553	2.63	0.008	0.373, 2.541
Occupation 4	0.626	0.248	2.53	0.012	0.140, 1.112
Occupation 5	0.626	0.199	3.15	0.002	0.237, 1.015
Occupation 6	0.625	0.231	2.71	0.007	0.172, 1.077
Occupation 7	2.041	0.861	2.37	0.018	0.354, 3.729
Occupation 8	1.005	0.551	1.82	0.068	-0.075, 2.084
Gender	0.223	0.103	2.17	0.030	0.021, 0.424
Health	-0.016	0.002	-7.03	0.000	-0.021, -0.012

2013. Greece.
Log Likelihood = -2166.146.
Number of Obs = 1571.
LR chi2(10) = 101.87.
Prob > chi2 = 0.0000.
Pseudo R2 = 0.0230.
Note: Income, educational level, occupation, age, health status and gender were all used as independent variables of the models. The analysis considered the effect of the aforementioned variables, in order to avoid the possibility of confounding. We have included these variables in the models and evaluated whether they were potential confounders. We did not present the betas for all these variables because they were not statistically significant.

ISSN: 1475-9276