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Oncology

The budget impact of utilizing the Oncotype DX Breast Recurrence Score test from a US healthcare payer perspective

ORCID Icon, ORCID Icon, , , , , & show all
Pages 973-990 | Received 23 Mar 2023, Accepted 10 Jul 2023, Published online: 07 Aug 2023

Figures & data

Figure 1. Patient flow in the budget impact model.

Figure 1. Patient flow in the budget impact model.

Table 1. Base-case parameter values, ranges, and distributions.

Table 2. Payer perspective conversion rates.

Figure 2. Diagram of the budget impact model structure.

Figure 2. Diagram of the budget impact model structure.

Table 3. Cost breakdown by category N0 combined population.

Table 4. Cost breakdown by year N0 combined population.

Table 5. Cost breakdown by category N1 combined population.

Table 6. Cost breakdown by year N1 combined population.

Table 7. Cost breakdown by category all HR+/HER2– combined.

Table 8. Cost breakdown by year all HR+/HER2– combined.

Table 9. Clinical outcomes.

Figure 3. Tornado diagram representing the 10 parameters that had the largest impact on the model results for the N0 population.

Figure 3. Tornado diagram representing the 10 parameters that had the largest impact on the model results for the N0 population.

Figure 4. Tornado diagram representing the 10 parameters that had the largest impact on the model results for the N1 population.

Figure 4. Tornado diagram representing the 10 parameters that had the largest impact on the model results for the N1 population.

Figure 5. Scatter diagram, N0 population.

Figure 5. Scatter diagram, N0 population.

Figure 6. Scatter diagram, N1 population.

Figure 6. Scatter diagram, N1 population.

Table 10. Probabilistic sensitivity analysis results N0 combined population.

Table 11. Probabilistic sensitivity analysis results N1 combined population.

Table 12. Scenario analysis for N0 and N1 combined populations.

Supplemental material

Supplemental Material

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