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Table 5 Predictive factors of ACT drugs purchased according to the country, 2013 (logistic regression) (N = 923)

From: Treatment-seeking patterns for malaria in pharmacies in five sub-Saharan African countries

  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