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Table 2 Multilevel logistic regression adjusted odds ratios (95% CIs) for patients receiving at least one potentially inappropriate indicator

From: Prescriber variation in potentially inappropriate prescribing in older populations in Ireland

Variable

Model 1 random intercept patient level variables

Model 2 random intercept patient and GP level variables

Model 3 random slope patient and GP level variables

OR* (95% CIs)

OR* (95% CIs)

OR* (95% CIs)

Patient level fixed effects

   

Gender

   

Male

1

1

1

Female

0.92 (0.90, 0.93)

0.92 (0.90, 0.93)

0.92 (0.91, 0.93) 1

Age

   

70-74 years

1

1

10,(0.95)

≥ 75 years

0.95 (0.93, 0.97)

0.95 (0.93, 0.97)

0.95 (0.93, 0.96)

No of different repeat drug classes

   

0

1

1

1

1

2.00 (1.83, 2.18)

2.00 (1.83, 2.18)

1.43(1.43, 1.44) †

2

3.98 (3.69, 4.30)

3.98 (3.68, 4.30)

 

3

6.31 (5.87, 6.79)

6.31 (5.86, 6.78)

 

4

8.81 (8.20, 9.46)

8.81 (8.20, 9.45)

 

5

12.79 (11.92, 13.72)

12.78 (11.91, 13.71)

 

6

17.39 (16.21, 18.65)

17.38 (16.20, 18.64)

 

7

23.22 (21.65, 24.92)

23.21 (21.63, 24.90)

 

8

30.15 (28.09, 32.37)

30.13 (28.07, 32.35)

 

9

38.89 (36.19, 41.79)

38.86 (36.17, 41.76)

 

≥10

71.77 (67.00, 76.87)

71.71 (66.95, 76.81)

 

GP level fixed effects ‡

   

Gender §

   

Male

-

1

1

Female

-

0.94 (0 .91, 0.97)

0.94 (0.91, 0.97)

Area of residence

   

Urban

-

1

1

Rural

-

0.98 (0.95, 1.01)

0.98 (0.94, 1.01)

Deprivation

   

Deprivation score (centred)

-

1.00 (0.99, 1.01)

1.00 (0.99, 1.01)

  1. *OR = odds ratio.
  2. †The number of different repeat drug classes was treated as a continuous variable (created 10 dummy variables and the coefficients show an approximately linear increase).
  3. ‡GP level data was unavailable for 108 (5%) GPs with 6,906 (2%) patients.
  4. §GP gender was missing for 22 (1%) GPs with 2,578 (0.76%) patients.