Skip to main content

Table 3 Predictors of treating an overdose using logistic regression (N = 547)

From: One opioid user saving another: the first study of an opioid overdose-reversal and naloxone distribution program addressing hard-to-reach drug scenes in Denmark

Predictor variable

OR (95% C.I.)

p value

AOR (95% C.I.)

p value

Age

1.04 (1.01, 1.07)

0.011

1.01 (0.97, 1.06)

0.549

Male gender

1.50 (0.75, 2.97)

0.251

0.83 (0.32, 2.13)

0.694

Professionals or significant others

Reference

 

Reference

 

PWUO

6.81 (3.14, 14.76)

0.000

8.50 (3.34, 30.94)

0.001

Year of training

0.41 (0.26, 0.66)

0.000

0.37 (0.13, 0.93)

0.034

Intra class correlation coefficient site

ρ < 0.01

 

ρ < 0.01

 

Intra class correlation coefficient class

ρ = 0.49(0.26, 0.73)

 

ρ = 0.47(0.23, 0.72)

 
  1. Five participants had missing data on age and had to be excluded from this analysis