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Table 4 Regression of remuneration, list size and other practice, GP, and patient characteristics on consultation length, waiting time to get an appointment, and home visit (yes/no) (multilevel regression analysis and logistic regression analysis)

From: Do list size and remuneration affect GPs' decisions about how they provide consultations?

  Consultation length
(minutes)
Waiting time to get an appointment
(0 through 3)
Home visit
yes (1)/no (0)
  B B Exp-B
Intercept 11.794 0.904 0.002
Practice characteristics    
Proportion of publicly insured (capitation share) 0.034 0.000 1.007
Proportion self-rated health low -0.192** 0.022 0.994
Urbanization (ref = urban)    
Suburban -0.970 0.011 1.168
Rural -1.957** -0.019 1.405
Practice type (ref = solo)    
Dual -0.248 0.066 1.097
Group -0.071 0.289 0.777
GP characteristics    
Age 0.020 -0.005 1.002
Sex (female) 0.157 0.002 0.963
Weighted list size -1.014* 0.065 0,967
Weighted list size *
proportion of publicly insured
0.002 -0.004 1.008
Patient characteristics    
Insurance status (1 = public) -0.465   0.999
Age 0.032**   1.061**
Self-rated health low 1.065**   1.570**
Sex (female) 0.327   1.300**
Weighted list size *
public insurance
0.400   0.900
Variance components    
Practice level 0.943 0.176 0.086
Reduction compared to null model 38% 14% 60%
GP level 1.048 0.209 0.102
Reduction compared to null model 0% 0% 32%
Patient level 18.225   2.130
Reduction compared to null model 5%   46%
N 1,967 184 67,709
  1. * p < 0.05; ** p < 0.01