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Table 2 Stocking artemether-lumefantrine and subsidized artemether-lumefantrine

From: The association between price, competition, and demand factors on private sector anti-malarial stocking and sales in western Kenya: considerations for the AMFm subsidy

  Variable Stocking any AL Stocking AMFm AL
Unadjusted OR (p) Adjusted OR (p)* Unadjusted OR (p) Adjusted OR (p)
Size Number of staff 3.74 (p = 0.001) 3.56 (0.019) 1.92 (p = 0.049) 1.14 (0.78)
Total volume sold in last week 1.05 (p = 0.001) 1.04 (0.015) 1.04 (p = 0.001) 1.03 (0.03)
Quality Pharmacist on staff 4.92 (p = 0.000) 2.45 (0.215) 3.53 (p = 0.076) 1.49 (0.8)
Nurse on staff 0.28 (p = 0.005) 0.5 (0.375) 0.31 (p = 0.15) 0.52 (0.68)
Untrained staff dispensing medicine 0.76 (p = 0.57) - 0.69 (p = 0.65) 0.28 (0.4)
Competition Number of neighbours within 1 km 1.16 (p = 0.01) 1.13 (0.08) 1.05 (p = 0.6) 1.07 (0.52)
Nearest govt. facility within 1 km 1.19 (p = 0.68) 0.47 (0.20) 2.65 (p = 0.14) 0.69 (0.69)
Nearest neighbour has subsidized AL   - 7.13 (p = 0.005) 6.4 (0.09)
Demand Household density 0.99 (p = 0.62) - -  
Fever density 0.97 (0.25) - -  
Fever prevalence in households 0.06 (p = 0.21) - -  
Density of cash crop farming 0.93 (0.024) - -  
Acres of land owned 0.99 (0.074) - -  
Head education 0.99 (0.52) - -  
  1. *non-geographic variables only were used for the multivariable regression because the number of outlets within the DSS (n = 33) was much smaller than the overall sample size.