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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.