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Table 6 Generalised estimating equation modelling intervention effects on daily mean purchase counts

From: Prompting consumers to make healthier food choices in hospitals: a cluster randomised controlled trial

     

95% CI Exp (γ)

γ

SE

p

Exp(γ)a

Lower

Upper

Intercept

5.38

0.06

< .001

216.82

192.46

244.25

Group

0.28

0.10

.005

1.32

1.09

1.61

Pre-Post

0.01

0.09

.901

1.01

0.84

1.21

Group*Pre-Post

0.07

0.14

.637

1.07

0.81

1.41

Weekend

−0.69

0.02

< .001

0.50

0.48

0.52

  1. Note. Probability distribution: Negative Binomial; Scale Parameter = 0.65; Group: 0 = intervention; 1 = control. Pre-post: 0 = pre; 1 = post. Weekend: 0 = midweek; 1 = weekend; a Exp (γ) can be interpreted as the percentage increase (values > 1) or decrease (values < 1) in the purchase count for each 1-unit increase in the predictor