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Table 4 Simple net-benefit regression estimates with different ceiling ratios, Nouna community based health insurance, household survey, 2007, Burkina Faso

From: Applying the net-benefit framework for assessing cost-effectiveness of interventions towards universal health coverage

N = 1344

NMB With

NMB With

NMB With

NMB With

NMB With

NMB With

 

λ=0a

λ=500000

λ=700000

λ=1000000

λ=1500000

λ=2000000

Explanatory

[SE] (p-value)

[SE] (p-value)

[SE] (p-value)

[SE] (p-value)

[SE] (p-value)

[SE] (p-value)

Variables

      

Constant term

9630

347148

489860

703927

1060706

1417485

 

[193] (1.000)

[6830] (0.000)

[9562] (0.000)

[13660] (0.000)

[193] (0.000)

[193] (0.000)

      

220232

Intervention strategy(CBHI)

- 60623

9577

37664

79795

150013

[372] (0.000)

 

[372] (0.000)

[13143] (0.466)

[18400] (0.041)

[26286] (0.002)

[372] (0.000)

 

R2 (adjusted)

0.952

0.000

0.003

0.007

0.011

0.013

F (1, 1344)

26587

0.531

4.2

9.2

14.4

17.5

Prob > F

< 0.000

< 0.000

< 0.000

< 0.000

< 0.000

< 0.000

  1. a When λ =0, NMB = − Cost. The values of λ = are in CFA, West Africa French currency.