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Table 3 Logistic regression models predicting the odds of being vaccinated

From: Can uptake of childhood influenza immunisation through schools and GP practices be increased through behaviourally-informed invitation letters and reminders: two pragmatic randomized controlled trials

 

Model 1: (Pseudo R2 = 0.15)

Model 2: (Pseudo R2 = 0.41)

Odds Ratio (95% CI)

p

Odds Ratio (95% CI)

p

Intercept

0.05 (0.03, 0.09)

<  0.001

0.06 (0.04, 0.09)

<  0.001

Intervention

2.24 (1.67, 3.00)

<  0.001

2.02 (1.49, 2.75)

<  0.001

Female (reference category male)

1.04 (0.98, 1.11)

0.223

0.96 (0.87, 1.05)

0.371

3-year old (reference category 2-year old)

0.94 (0.88, 1.01)

0.076

0.91 (0.83, 1.01)

0.067

Previously vaccinated (reference category not previously vaccinated)

3.96 (3.23, 4.85)

<  0.001

4.33 (3.28, 5.72)

<  0.001

SystmOne

5.77 (3.94, 8.45)

<  0.001

5.77 (3.94, 8.45)

<  0.001

Intervention *Female

–

–

1.16 (1.02, 1.32)

0.024

Intervention*3-year old

–

–

1.06 (0.93, 1.21)

0.362

Intervention* Previously vaccinated

–

–

0.83 (0.55, 1.24)

0.362

Variation between practices (SD)1

1.10

< 0.001

1.10

<  0.001

Variation between CCG (SD) 2

0.42

<  0.001

0.42

<  0.001

ICC

0.297

 

0.297

 
  1. 1 The p value displayed by practice is from a log likelihood test between a model that included and omitted the random effect
  2. 2 The p value displayed by CCG is from a log likelihood test between a model that included and omitted the random effect