Table 2 Prescribing intentions by socio-demographics at T1 and T2

Gender*^#

Male

Female

n = 23 (25.8%)

n = 11 (7.2%)

n = 66 (74.2%)

n = 141 (92.8%)

χ² = 16.036

df = 1

p = < 0.001

n = 14 (41.2%)

n = 6 (11.1%)

n = 20 (58.8%)

n = 48 (88.9%)

χ² = 10.379 df = 1

p = 0.001

Age^^#

20–29

30–39

40–49

50–59

60+

n = 5 (33.3%)

n = 11 (13.9%)

n = 7 (13.5%)

n = 2 (6.1%)

n = 4 (18.2%)

n = 10 (66.7%)

n = 68 (86.1%)

n = 45 (86.5%)

n = 31 (93.9%)

n = 18 (81.8%)

χ² = 6.520 df = 4

p = 0.164

n = 0 (0.0%)

n = 5 (19.2%)

n = 8 (30.8%)

n = 3 (17.6%)

n = 4 (26.7%)

n = 4 (3.1%)

n = 21 (80.8%)

n = 18 (69.2%)

n = 14 (82.4%)

n = 11 (73.3%)

χ² = 2.697 df = 4

p = 0.610

Years of Practice⁺⁻

0–10

11–20

21–30

30+

n = 22 (14.8%)

n = 8 (16.0%)

n = 0 (0.0%)

n = 4 (19.0%)

n = 127 (85.2%)

n = 42 (84.0%)

n = 20 (100.0%)

n = 17 (81.0%)

χ² = 3.894 df = 3

p = 0.273

n = 9 (23.7%)

n = 6 (28.6%)

n = 0 (0.0%)

n = 4 (28.6%)

n = 29 (76.3%)

n = 15 (71.4%)

n = 13(100.0%)

n = 4 (71.4%)

χ² = 4.596 df = 3

p = 0.204

Training*^#

Australia

International

n = 28 (14.8%)

n = 6 (11.5%)

n = 161 (85.2%)

n = 46 (88.5%)

χ² = 0.361 df = 1

p = 0.548

n = 16 (21.3%)

n = 4 (30.8%)

n = 59 (78.7%)

n = 9 (69.2%)

χ² = 0.562 df = 1

p = 0.454