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Table 4 Multivariable analysis of prescription-Fscores (outcome variables) estimated from a beta-distributed generalized linear mixed models (GLMM)

From: The impact of a computerized physician order entry system implementation on 20 different criteria of medication documentation—a before-and-after study

  Odds ratio 95% CI P value
Baseline effect (intercept) 1.71 [1.31; 2.23]  < 0.001
Time point: post-implementation versus pre-implementation 10.11 [8.49; 12.05]  < 0.001
Prescription category (reference: standard peroral administration)
 Risky route 0.76 [0.73; 0.79]  < 0.001
 As needed 0.59 [0.57; 0.61]  < 0.001
 Other 0.87 [0.80; 0.93]  < 0.001
 Number of comedications (n) 0.99 [0.97; 1.02] 0.622
Ward indicatora
 Ward 1 0.80 [0.64; 1.01] 0.057
 Ward 2 1.04 [0.83; 1.31] 0.707
 Ward 3 0.53 [0.43; 0.67]  < 0.001
 Ward 4 0.82 [0.64; 1.05] 0.115
 Ward 5 1.29 [1.03; 1.63] 0.028
 Ward 6 1.44 [1.11; 1.86] 0.005
 Ward 7 1.21 [1.05; 1.40] 0.009
  1. CI, confidence interval; prescription-Fscore, fulfilment score per prescription
  2. Within-patient correlation (random-effects standard deviation): 0.762 [95% CI 0.699–0.831]; Prescription-Fscores estimated as odds ratios with 95% confidence intervals (CI)
  3. aCategories were included by weighted effect-coding[26]