Table 5. Characteristics associated with delay in arrival and treatment in the selected hospitals during the period 2013–2015.
Independent Variable | Arrival Delay †* | Treatment Delay‡ ** | ||
---|---|---|---|---|
OR | 95% CI | OR | 95% CI | |
Sex | ||||
Male | Ref | Ref | Ref | Ref |
Female | 1.2 | 1.2–1.3 | 1.1 | 1.0–1.1 |
Age§ | ||||
18 to 65 | Ref | Ref | Ref | Ref |
0 to 4 | 1.4 | 1.4–1.5 | 2.0 | 1.9–2.1 |
5 to 17 | 1.0 | 1.0–1.1 | 1.3 | 1.2–1.3 |
Above 65 | 1.3 | 1.1–1.4 | 1.2 | 1.1–1.3 |
Hospital | ||||
Martissant | Ref | Ref | 14.6 | 13.2–15.4 |
Kunduz | 2.3 | 2.2–2.4 | Ref | Ref |
Gondama | 30.0 | 25.6–35.3 | 0.3 | 0.3–0.3 |
Diagnosis | ||||
Trauma | Ref | Ref | Ref | Ref |
Non—Trauma | 4.6 | 4.4–4.8 | 1.6 | 1.5–1.7 |
Odds Ratios from the Multinomial Logistic Regression models.
†Compared to ≤ 24 hours.
‡Compared to no Delay.
*McFadden R^2: 0.14 for the arrival delay model.
**McFadden R^2: 0.22 for the treatment delay model.
§ Age reported in years.