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

From: 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

  Strong gatekeeping, low supply (England, the Netherlands, Spain) Mixed regulation (Finland) Weakly regulated, high supply (Germany, Greece) Differences between categoriesb
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 communicationc 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 communicationc 0.137*** 0.187* 0.092*** 0.15
  1. 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
  2. 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
  3. c Coded from 1 for worst quality to 5 for best quality