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Table 5 Demographics and possible determinants of physician’s scopea

From: Development of a questionnaire to measure primary care physicians’ scope of practice

Items

SPImean

SPISD

estimate

S.E.

z value

p value

GVIF

Intercept

NA

NA

3.629

0.044

81.938

<0.001

-

Sex

 Male (criterion)

36.9

16.04

     

 Female

31.3

12.71

−0.154

0.024

−6.470

<0.001

1.108

Age (years)b

 −35

42.0

16.93

     

 35–44

38.5

16.55

     

 45–54

34.7

15.06

     

 55–64

34.8

15.42

     

 65–

35.7

15.00

     

Post-graduate yearsc

  

−0.003

0.001

−3.446

<0.001

1.207

 0–10

43.3

16.60

     

 11–20

37.3

16.82

     

 21–30

35.2

15.16

     

 31–40

33.9

14.31

     

 41-

32.0

14.65

     

Practice setting

 Clinic (criterion)

32.0

14.78

    

1.184

 Hospital (<100 beds)

43.9

14.80

0.283

0.023

12.421

<0.001

 

 Hospital (> = 100 beds)

40.3

15.34

0.218

0.019

11.658

<0.001

 

Population served

 Urban (criterion)

34.3

15.19

    

1.199

 Sub-urban

36.1

15.75

0.060

0.017

3.453

<0.001

 

 Rural

53.0

8.59

0.301

0.031

9.727

<0.001

 

Remote experience

 Yes

43.1

16.66

0.125

0.018

6.747

<0.001

1.275

 No (criterion)

33.0

14.22

     

Specialist in FM or PCd

 Yes

50.8

13.56

0.259

0.028

9.231

<0.001

1.122

 No (criterion)

34.9

15.27

     
  1. aGeneralized linear model (GLM) analysis was conducted. Dependent variable was the total score of SPI. We assumed the distribution of the total score of SPI as poisson, and link function was log
  2. Null deviance was 3303.0 (df = 450)/Residual deviance was 2565.4 (df = 442)
  3. AIC was 4973.3
  4. bOmitted from GLM analysis, to avoid the occurence of multicolinearity
  5. cTreated as numerical variable in GLM analysis
  6. dHaving board certification as family physician or primary care physician in Japan