Table 4 Multivariable-adjusted linear regression for change in maximum prescription count

Age group (years)

 65-74

reference

 75-84

0.04 (0.03, 0.05), p<0.001

 85-94

0.04 (0.03, 0.06), p<0.001

 95+

-0.03 (-0.07, 0.02), p=0.270

Sex

 Male

reference

 Female

-0.01 (-0.02, -0.01), p=0.002

Original prescription count

 1

0.30 (0.28, 0.32), p<0.001

 2-4

0.14 (0.13, 0.15), p<0.001

 5-9

reference

 10-14

-0.21 (-0.22, -0.19), p<0.001

 15-19

-0.42 (-0.47, -0.38), p<0.001

 20-24

-0.55 (-0.69, -0.40), p<0.001

Practice region

 Scotland

reference

 Wales

0.05 (0.03, 0.07), p<0.001

 Northern Ireland

0.12 (0.09, 0.14), p<0.001

 London

0.07 (0.00, 0.13), p=0.058

 Rest of England

0.02 (0.00, 0.05), p=0.031

Consultation type

 Face-to-face

reference

 Telephone

-0.01 (-0.04, 0.03), p=0.674

 Other

-0.02 (-0.04, -0.01), p<0.001

 Missing

0.04 (-0.15, 0.22), p=0.715

Staff role

 General practitioner

reference

 Pharmacist

-0.05 (-0.07, -0.03), p<0.001

 Nurse

0.00 (-0.02, 0.02), p=0.863

 Other

-0.04 (-0.06, -0.01), p=0.008

 Admin

0.02 (-0.01, 0.06), p=0.207

 Missing

0.01 (-0.10, 0.12), p=0.804

Townsend Quintile

 Quintile 1 (least deprived)

reference

 Quintile 2

0.02 (-0.01, 0.06), p=0.208

 Quintile 3

0.01 (-0.02, 0.04), p=0.380

 Quintile 4

0.02 (-0.02, 0.05), p=0.306

 Quintile 5 (most deprived)

0.03 (0.00, 0.07), p=0.056

Intercept

0.06 (0.02, 0.09), p=0.001