Table 5.

Predictive factors of ACT drugs purchased according to the country, 2013 (logistic regression) (N = 923)

	AOR	95% CI	p
4 countries
Country
Kenya	1.0
Nigeria	0.43	0.18–1.01	0.05
Tanzania	0.18	0.09–0.39	<10−4
Uganda	0.12	0.05–0.28	<10−4
Sex
Women	1.0
Men	0.66	0.46–0.96	0.03
Age (years)
≥17	1.0
6–16	2.39	1.18–4.81	0.01
≤5	1.65	1.02–2.68	0.03
Have a prescription
No	1.0
Yes	1.01	0.63–1.61	0.98
Price of drug purchased	1.23	1.12–1.35	<10−4
Type of outlet
Other	1.0
Pharmacy	1.73	1.01–2.96	0.04
Presence of fever
No	1.0
Yes	2.74	1.37–5.50	0.005

	AOR	95% CI	p
Kenya
Sex	1.67
Women	1.06	0.32–4.46	0.93
Men
Age (years)
≥17	1.0
6–16	1.48	0.16–13.0	0.21
≤5	2.26	0.26–17.2	0.03
Have a prescription
No	1.0
Yes	5.68	1.18–27.3	0.003
Price of purchased drug	0.91	0.81–1.00	0.07
Nigeria
Sex	1.68	1.25–2.26	0.0006
Women	1.0
Men	1.57
Age (years)		0.69–3.54	0.28
≥17	1.0
6–16	5.10	0.63–23.8	0.13
≤5	2.25	0.67–7.59	0.19
Have a prescription
No	1.0
Yes	1.59	0.60–4.20	0.35
Price of drug purchased	1.73	1.28–2.34	0.0004
Type of outlet
Other	1.0
Pharmacy	1.50	0.49–4.60	0.47
Tanzania
Sex
Women	1.0
Men	0.40	0.20–0.82	0.01
Age (years)
≥ 17	1.0
6–16	2.43	0.62–9.63	0.20
≤5	4.27	1.37–13.34	0.01
Have a prescription
No	1.0
Yes	0.73	0.21–2.58	0.63
Price of drug purchased	1.19	1.04–1.35	0.01
Type of outlet
Other	1.0
Pharmacy	0.51	0.15–1.79	0.29
Presence of fever
No	1.0
Yes	3.14	1.22–8.04	0.02
Uganda
Sex
Women	1.0
Men	0.65	0.31–1.40	0.65
Age (years)
≥17	1.0
6–16	1.82	0.56–5.94	0.32
≤5	0.74	0.31–1.76	0.49
Have a prescription
No	1.0
Yes	0.59	0.23–1.53	0.38
Price of drug purchased	1.95	1.59–2.40	<10−4
Type of outlet
Other	1.0
Pharmacy	1.95	0.68–5.58	0.21
Presence of fever
No	1.0
Yes	1.40	0.24–8.16	0.71