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Table 3 Relationship between sales volume, price and outlet characteristics

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

Theme Variable SP AL Quinine
Unadjusted effect size (p) Adjusted effect size (p) Unadjusted effect size (p) Adjusted effect size (p) Unadjusted effect size (p) Adjusted effect size (p)
Price Log price -0.78 (0.002) -0.92 (0.000) -0.59 (0.02) -0.44 (0.19) -0.34 (0.02) -0.29 (0.15)
Size Number of staff 0.24 (0.25) 0.43 (0.06) 0.12 (0.51) 0.27 (0.09) 0.09 (0.48) 0.11 (0.55)
Quality Pharmacist on staff -0.02 (0.95) -1.15 (0.08) 0.40 (0.24) 1.06 (0.22) 0.36 (0.11) 0.15 (0.78)
Nurse on staff -0.49 (0.08) -1.57 (0.02) 0.040 (0.92) 0.69 (0.48) -0.24 (0.29) -0.5 (0.92)
Untrained staff dispensing medicine 0.67 (0.05) -0.47 (0.32) -0.13 (0.76) 0.16 (0.84) -0.09 (0.73) -0.19 (0.66)
Competition Number of neighbours within 1 km 0.03 (0.46) 0.05 (0.22) -0.06 (0.15) -0.04 (0.33) 0.004 (0.88) 0.002 (0.96)
Nearest govt. facility within 1 km -0.02 (0.95) -0.13 (0.64) 0.53 (0.14) 0.38 (0.21) 0.39 (0.08) 0.26 (0.37)
Nearest neighbour has subsidized AL 0.5 (0.86) 0.29 (0.51) -0.09 (0.34) -1.09 (0.06) 0.31 (0.94) 0.04 (0.04)
Demand Household density 0.01 (0.198) - 0.002 (0.88) - -0.002 (0.68) -
Fever density 0.053 (0.089) - 0.03 (0.59) - -0.007 (0.76) -
Fever prevalence in households 2.4 (0.59) - 15.1 (0.14) - -0.51 (0.90) -
Density of cash crop farming 0.01 (0.76)   0.016 (0.77)   -0.03 (0.11)  
Acres of land owned 0.002 (0.40)   0.01 (0.45)   -0.003 (0.33)  
Head education 0.004 (0.18)   0.002 (0.83)   -0.001 (0.73)  
n = 26 for geographic variables n = 11 for geographic variables n = 30 for geographic variables