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Table 3 Multinomial logistic regression

From: Reaching the right facility for emergency patients - destinations of patients transported by emergency medical services in Kigali, Rwanda

Variables

Destination facility

 

District hospitals Vs. Health Centers(ref.)

Tertiary hospitals vs. District hospitals(ref)

 

aRRR

95% CI

 

aRRR

95% CI

 

Sex

      

 Female

Ref.

Ref.

 

Ref.

Ref.

 

 Male

1.09

0.72,1.64

 

1.46

0.88,2.4

 

Age

1.00

0.99,1.01

 

1.02

1.01,1.03

 

Condition

      

 Trauma

Ref.

Ref.

 

Ref.

Ref.

 

 Obs/Gyn related

0.66

0.33,1.32

 

0.31

0.11,0.85

 

 Medical and others

0.90

0.54,1.48

 

0.45

0.32,1.00

 

Insurance Scheme

      

 Any Insurance

Ref.

Ref.

 

Ref.

Ref.

 

 No Insurance

1.20

0.812,1.74

 

0.71

0.46,1.11

 

Urgency

      

 Minor

Ref.

Ref.

 

Ref.

Ref.

 

 Moderate

23.4

15.7,34.9

 

3.30

1.0,11.1

 

 Severe

36.4

13.2,100.5

 

25.80

7.2,92.5

 

 Extreme

19.7

2.0,190.8

 

28.27

4.89,163.5

 

TEWS

      

 0–3

Ref.

Ref.

 

Ref.

Ref.

 

 4–6

2.10

0.58,7.6

 

0.41

0.13,1.3

 

 ≥ 7

2.17

0.46,10.2

 

1.14

0.38, 3.40

 
  1. aRRR: adjusted relative risk ratio
  2. The VIF showed minimal multicollinearity among the predictor variables, and McFadden’s Pseudo R-squared value was 0.398, indicating a moderate model fit