Skip to main content

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)