Table 4: Multivariate analysis results for global non-conformity (n =185).

 

 

 

Global conformity to guidelines

*Ref category is conformity

 

Non-conformity

Conformity

OR

p-value (ap of model)

Count

(%)

Count

(%)

physicians’ characteristics

University educational system

American system university

39

(78.0)

11

(22.0)

2.107

0.018

French system university

88

(65.2)

47

(34.8)

Ref

 

Specialty

Primary care physicians

37

(67.3)

18

(32.7)

Ref

0.135a

Internal medicine or infectious diseases

27

(67.5)

13

(32.5)

0.944

0.892

Gynecology

15

(42.9)

20

(57.1)

0.655

0.362

Urology or nephrology

48

(87.3)

7

(12.7)

2.880

0.025

Do you take a patient’s medical insurance type into account when prescribing?

No

2

(40)

3

(60)

Ref

 

Yes

125

(69.4)

55

(30.6)

1.806

0.061

Patients’ characteristics

Patient gender

Male

49

(84.5)

9

(15.5)

1.315

0.529

Female

78

(61.4)

49

(38.6)

Ref

 

Education Level

School

26

(56.5)

20

(43.5)

Ref

 

University

101

(72.7)

38

(27.3)

2.140

0.032

Fever or chills

No

88

(61.5)

55

(38.5)

Ref

 

Yes

39

(92.9)

3

(7.1)

4.947

0.033

Urine analysis

No

34

(49.3)

35

(50.7)

Ref

 

Yes

93

(80.2)

23

(19.8)

1.609

0.281