Table 3 Patient- and FP-related predictors of antibiotic prescribing (as per unadjusted analysis and binary logistic regression model)

  0–4

294 (32.1)

1

1

  5–9

187 (28.2)

0.83 (0.67–1.04)

0.10

0.81 (0.65–1.02)

0.07

  10–14

71 (23.2)

0.64 (0.47–0.86)

0.003

0.62 (0.46–0.85)

0.002

  15–17

42 (33.9)

1.08 (0.73–1.61)

0.70

1.10 (0.73–1.66)

0.64

  Boys

295 (28.6)

1

1

  Girls

309 (31.3)

1.12 (0.93–1.36)

0.23

1.16 (0.96–1.41)

0.14

  1

22 (22.2)

1

1

  2

152 (25.0)

1.17 (0.70–1.94)

0.55

1.08 (0.64–1.81)

0.78

  3

223 (33.1)

1.73 (1.05–2.85)

0.03

1.53 (0.91–2.57)

0.11

  4

137 (32.6)

1.69 (1.01–2.84)

0.045

1.57 (0.92–2.68)

0.10

  5

73 (30.5)

1.54 (0.89–2.66)

0.12

1.50 (0.84–2.65)

0.17

  30–40

89 (25.2)

1

1

  41–50

172 (36.1)

1.67 (1.23–2.27)

0.001

1.76 (1.24–2.51)

0.002

  51–60

167 (25.7)

1.02 (0.76–1.38)

0.88

0.96 (0.69–1.32)

0.79

  61+

179 (32.1)

1.40 (1.04–1.89)

0.03

1.12 (0.80–1.57)

0.52

  Male

15 (32.6)

1

1

  Female

529 (29.7)

0.87 (0.47–1.63)

0.67

0.92 (0.47–1.80)

0.81

   < 5 years

48 (25.7)

1

1

  6–10 years

15 (14.6)

0.49 (0.26–0.94)

0.03

0.70 (0.35–1.41)

0.32

  11–20 years

106 (31.4)

1.32 (0.89–1.98)

0.17

1.52 (0.96–2.41)

0.08

  21+ years

438 (31.0)

1.30 (0.92–1.84)

0.13

1.28 (0.87–1.86)

0.21

  Rural areas

246 (33.0)

1.28 (1.04–1.59)

0.02

1.42 (1.10–1.84)

0.01

  Regional cities

119 (28.3)

1.03 (0.80–1.34)

0.82

1.23 (0.92–1.65)

0.16

  Capital of Latvia

242 (27.7)

1

1

   < 500

266 (25.6)

1

1

  501–1000

267 (34.7)

1.54 (1.26–1.89)

< 0.001

1.68 (1.33–2.11)

< 0.001

  1001+

74 (31.9)

1.36 (1.26–1.89)

0.05

1.59 (1.09–2.34)

0.02

  Intervention

320 (27.8)

0.80 (0.66–0.97)

0.02

0.83 (0.67–1.03)

0.09

  Control

287 (32.4)

1

1