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Table 3 Predictors for antibiotic prescription after multi-level analysisa

From: The influence of gender concordance between general practitioner and patient on antibiotic prescribing for sore throat symptoms: a retrospective study

 

Exp (B)

Lower

Upper

Significance

All GP practice consultations (n = 11,285)b

 Concordance

0.92

0.83

1.01

p = .099

 Gender GP

0.88

0.67

1.09

p = .265

 Gender patient

0.93

0.84

1.02

p = .142

 Comorbidity

1.09

0.99

1.18

p = .090

 Age patient

1.00

1.00

1.00

p = .022

Non-protocolled (n = 10,328)c

 Concordance

0.92

0.82

1.02

p = .118

 Gender GP

0.83

0.58

1.08

p = .180

 Gender patient

0.96

0.85

1.06

p = .404

 Comorbidity

1.21

1.01

1.32

p = .000

 Age patient

1.00

0.99

1.00

p = .000

Protocolled (n = 957)d

 Concordance

1.00

0.68

1.32

p = .996

 Gender GP

0.65

0.26

1.04

p = .076

 Gender patient

0.79

0.47

1.10

p = .184

 Comorbidity

0.92

0.57

1.26

p = .633

 Age patient

0.98

0.96

0.99

p = .002

  1. aThese findings are based on mulit-level logistic regression analysis
  2. bThere was no interaction effect of concordance and gender GP (p = .225)
  3. cThere was no interaction effect of concordance and gender GP (p = .272)
  4. dThere was no interaction effect of concordance and gender GP (p = .145)