Table 2.
Scenario 1: Cost-effective | ||
CONTROL | ACTIVE | |
Cost | Lognormal (6.214608, 0.75) | Lognormal (6.907755, 0.75) |
Effect | 0.9-Gamma (6.25, 0.024) | 0.9-Gamma (2, 0.05) |
ICER | 13,247.85 = (1,324.78 - 662.39)/(0.8-0.75) | |
INB* | 837.61 | |
Scenario 2: Non-cost-effective | ||
CONTROL | ACTIVE | |
Cost | Lognormal (6.214608, 0.75) | Lognormal(6.214608, 0.75) |
Effect | 0.9-Gamma (6.25, 0.024) | 0.9-Gamma (4.5, 0.03) |
ICER | 44,159.49 = (1,324.78 - 662.39)/(0.765-0.75) | |
INB* | −212.39 | |
Scenario 3: Dominant | ||
CONTROL | ACTIVE | |
Cost | Lognormal (6.907755, 0.75) | Lognormal (6.214608, 0.75) |
Effect | 0.9-Gamma (6.25, 0.024) | 0.9-Gamma (2, 0.05) |
ICER | −13,247.85 = (662.39 – 1,324.78)/(0.8-0.75) | |
INB* | 2,162.39 |
ICER: Incremental Cost-effectiveness Ratio; INB: Incremental Net Benefit.
*k=30,000.