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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