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Table 3 Characteristics associated with number of unique medications over time in multilevel linear regression

From: Prescribing differences among older adults with differing health cover and socioeconomic status: a cohort study

 

Change in number of medications (95% confidence interval)

Covariates

Model 1

Model 2

Model 3

Time, per year

0.65 (0.64, 0.65)

0.67 (0.67, 0.67)

0.54 (0.54, 0.54)

Non-GMS

-1.93 (-2.00, -1.87)

-1.58 (-1.64, -1.51)

-1.58 (-1.65, -1.52)

Age

0.22 (0.22, 0.23)

0.22 (0.22, 0.22)

0.21 (0.21, 0.22)

Sex (female)

0.91 (0.85, 0.96)

0.90 (0.85, 0.95)

0.97 (0.92, 1.03)

Non-GMS:Time, per year, interaction

 

-0.13 (-0.14, -0.13)

-0.10 (-0.11, -0.10)

Hospitalisations

  

0.48 (0.47, 0.48)

Variance (VPC)

   

Practice

1.5 (3.6%)

1.5 (3.5%)

1.4 (3.6%)

Patient

31.2 (75.4%)

31.1 (75.4%)

29.6 (74.9%)

Residual

8.7 (20.9%)

8.7 (21.0%)

8.5 (21.5%)

  1. GMS, General Medical Services scheme; VPC, Variance Partition Coefficient