Table 6.

Multivariate logistic regression analysis between pre accident events and final injury outcomes of road traffic accident in western Ethiopia, 2019.

Events	Category	Outcome		Univariate analysis			Multivariate analysis
		Survived	Died	P-value	COR	CI (95%)	AOR	CI (95%)	P-value
Season pattern	Autumn	20.8%	29.6%	1(R)	1(R)	1(R)	1(R)
	Winter	35.4%	36.1%	0.037*	2.626	[0.1.062–6.494]	1.29	[0.658–2.565]	0.451
	Spring	14.6%	27.8%	0.003*	5.567	[0.1.768–17.525]	2.05	[0.808–5.216]	0.131
	Summer	29.2%	6.5%	0.458	1.429	[0.557–3.669]	0.706	[0.346–1.441]	0.339
Time of occurrence	Morning to mid-day	55.6%	65.7%	1(R)	1(R)	1(R)	1(R)	1(R)	1(R)
	Afternoon	38.2%	6.5%	0.024*	8.844	[0.1.335 58.603]	3.47	[0.658–18.329]	0.143
	Mid-night	6.2%	00.0%	0.037*	0.354	[0.134–0.134]	0.35	[0.352–1.391]	0.308
	Mid-night to morning	00.0%	27.8%	0.010*	4.418	[0.1.429–13.655]	1.88	[0.755–4.704]	0.175
Type of vehicle	Sino track	00.0%	13.9%	1(R)	1(R)	1(R)	1(R)	1(R)	1(R)
	Isuzu	00.0%	14.8%	0.060*	0.536	[0.280–0.280]	0.292	[0.292–0.862]	0.012**
	High roof	30.9%	00.0%	0.205*	0.551	[0.219–1.385]	0.45	[0.208–0.988]	0.047**
	Bus	3.9%	36.1%	0.034*	2.030	[1.056–3.903]	1.79	[1.045–3.088]	0.034**
	Minibus	30.9%	00.0%	1(R)	1(R)	1(R)	1(R)	1(R)	1(R)
	Bajaj	10.7%	00.0%	0.071*	1.789	[0.951–3.364]	1.477	[0.832–2.624]	0.183
	Motor Cycle	23.6%	35.2%	0.24	0.51	[0.12–1.96]	0.47	[0.09–2.34]	0.30
Number of vehicles	Single vehicle	58.4%	86.1%	1(R)	1(R)	1(R)	1(R)	1(R)	1(R)
	Multiple vehicles	41.6%	13.9%	0.024*	8.844	[0.1.335 58.603]	3.47	[0.658–18.329]	0.143
Victims situation	Walking on the road	10.7%	21.3%	1(R)	1(R)	1(R)	1(R)	1(R)	1(R)
	Fall from a moving vehicle	19.1%	35.2%	0.071*	1.789	[0.951–3.364]	1.477	[0.832–2.624]	0.183
	Rolled vehicle	28.7%	36.1%	0.051*	0.086	[0.007–1.006]	0.657	[0.139–3.106]	0.597
	Collision	35.4%	7.4%	0.728	0.589	[0.030–11.581]	4.326	[0.461–40.637]	0.200
	Other	6.2%	00.0%	0.058*	0.072	[0.005–1.095]	0.524	[0.074–3.699]	0.517
Purpose of vehicle on travel	Private affair	54.5%	26.9%	0.071*	1.789	[0.951–3.364]	1.477	[0.832–2.624]	0.183
	Public transportation	39.3%	73.1%	1(R)	1(R)	1(R)	1(R)	1(R)	1(R)
	Gov./non-govt services	6.2%	00.0%	0.051*	0.086	[0.007–1.006]	0.657	[0.139–3.106]	0.597
Victim's role	Pedestrian	23.6%	28.7%	1(R)	1(R)	1(R)	1(R)	1(R)	1(R)
	Passengers	43.8%	36.1%	0.284	0.133	0.058–1.387	0.337	0.074–1.763	0.189
	Driver	19.1%	20.4%	0.099*	0.361	[0.108–1.212]	0.350	[0.110–1.117]	0.076
	Driver assistant	13.5%	14.8%	0.324	1.348	[0.744–2.441]	1.471	[0.840–2.576]	0.177
Distance from receiving hospital	<10 Km	41.0%	41.7%	1(R)	1(R)	1(R)	1(R)	1(R)	1(R)
	11–20 Km	22.5%	21.3%	0.010*	4.418	[0.1.429–13.655]	1.88	[0.755–4.704]	0.175
	21-30 km	14.6%	7.4%	0.050*	0.407	[0.166–1.000]	0.408	[0.193–0.864]	0.019**
	41–50Km	10.1%	29.6%	0.00*1	0.142	[0.045–0.445]	1.40	[0.048–408]	0.000**
	>51Km	11.8%	00.0%	0.602	0.806	[0.358–1.814]	0.814	[0.374–1.771]	0.604
Means of transportation	Ambulance	44.4%	50.9%	1(R)	1(R)	1(R)	1(R)	1(R)	1(R)
	Other vehicles	50.0%	49.1%	0.008*	0.259	[0.095–0.70]	0.258	[0.121–0.552]	0.000**
	Carried by people	5.6%	00.0%	0.016*	0.243	[0.077–0.768]	0.22	[0.098–0.510]	0.000**
Accompanying personnel	EMT	11.8%	58.3%	1(R)	1(R)	1(R)	1(R)	1(R)	1(R)
	Traffic police/	82.6%	41.7%	0.003*	0.358	[0.183–0.702]	0.391	[0.205–0.748]	0.005**
	Bystanders	5.6%	00.0%	0.042*	0.335	[0.117–0.962]	0.371	[0.160–0.860]	0.021**
Communication of emergency personnel to hospitals	Yes	65.2%	100.0%	1(R)	1(R)	1(R)	1(R)	1(R)	1(R)
	No	34.8%	00.0%	0.037*	0.354	[0.134–0.134]	0.35	[0.352–1.391]	0.308

Key: * = significant at P-value <0.25, ** = significant at P-value<0.05, EMT = Emergency Medical Technicians.