The impact of accessibility and service quality on the frequency of patient visits to the primary diabetes care provider: results from a cross-sectional survey performed in six European countries

Table 6 Prediction of yearly patient visits to the primary diabetes care provider; Reibling category specific coefficients for focal predictors^a

	Strong gatekeeping, low supply (England, the Netherlands, Spain)	Mixed regulation (Finland)	Weakly regulated, high supply (Germany, Greece)	Differences between categories^b
Participants with up to two missing values (n = 1086)
Sample sizes	580	135	371
Travel distance in kilometres	0.011	0.005	−0.014***	0.54**
Travel time in minutes	0.002	0.000	0.003	0.01
In-practice waiting time in minutes	0.001	−0.015*	−0.002**	0.55**
Quality of communication^c	0.161***	0.132*	0.085***	0.29*
Patients with complete data (n = 829)
Sample sizes	444	103	282
Travel distance in kilometres	0.008	0.006	−0.014***	0.59**
Travel time in minutes	0.002	0.000	0.004*	0.03
In-practice waiting time in minutes	0.001	−0.020*	−0.002**	0.67**
Quality of communication^c	0.137***	0.187*	0.092***	0.15

^a Parameters of Poisson regression when the respective category is taken as reference for the interactions. Statistical significances for deviation from zero are symbolised with * = p < 0.05, ** = p < 0.01, and *** = p < 0.001
^b Contribution of the respective interactions to the prediction of the model with interactions for all four focal predictors, i.e. one hundred times the difference between the CW-Indices for the model with interactions for all focal predictors and the models without interactions for the respective focal predictor. The statistical test was performed using a likelihood ratio test between both models. Statistical significances are symbolised with * = p < 0.05, ** = p < 0.01, and *** = p < 0.001
^c Coded from 1 for worst quality to 5 for best quality

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