162 Chapter 6 Table 5 Association of determinants with inappropriate antimicrobial prescribing for respiratory tract infections Model 4 OR (95% C.I.) Gender (Female as reference) 1.09 (1.06- 1.11) Age groups 0 – 4 years (reference) 5-14 years 15-44 tears 45-64 years 65-and older 1 1.27 (1.18-1.33) 0.93 (0.88-0.99) 1.23 (1.16-1.30) 1.35 (1.80-1.43) Migration background Dutch (reference) Moroccan Turkish Surinamese Dutch Caribbean Global South Global North 1 1.00 (0.96-1.04) 1.08 (1.01-1.15) 1.25 (1.17-1.33) 1.29 (1.21-1.37) 1.07 (0.97-1.18) 1.13 (1.07- 1.20) Households with 1 parent (2 parents reference) 1.01 (0.98-1.05) Household income Low (reference) Middle High 1 0.87 (0.82- 0.93) 0.92 (0.86-0.97) Number of comorbidities 0 (reference) 1 2 3 or more 1 2.99 (2.56- 3.48) 1.82 (1.56- 2.12) 1.30 (1.10- 1.53) Primary Care office size Small (reference) Medium Large 1.17 (1.13-1.21) 1.05 (1.02-1.08) Day of prescription (Friday reference) 1.05 (1.02-1.08) A multivariable logistic regression analysis was conducted to test the association of determinants with antimicrobial prescribing for respiratory tract infections. Bold indicates a statistical significant association with inappropriate antimicrobial prescribing (p<0.05). OR: Odds ratio. CI; Confidence Interval.
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