Abstract
Background: Patients with treatment-resistant major depressive disorder (TRD) have limited treatment options. We developed an early stage cost-effectiveness model of TRD to explore the potential value of a hypothetical monotherapy relative to the standard of care (SOC). The relative impacts of the monotherapy’s three differentiating features over SOC are explored: efficacy advantage, tolerability advantage, and price premium.
Methods: We adapted an existing economic model of TRD to evaluate the cost-effectiveness of a hypothetical monotherapy for TRD with a 25% efficacy advantage, a 10% tolerability advantage, and a 50% price premium over SOC (selective serotonin reuptake inhibitor plus atypical antipsychotics [SSRI + AAP]). The model is a hybrid of a decision tree that captures patients’ outcomes after an 8-week acute treatment phase and a Markov model that simulates patients’ depression course through a 10-month maintenance phase. Sensitivity (deterministic and probabilistic) and scenario analyses were conducted to characterize the relative impacts of the monotherapy’s three differentiating features over SOC.
Results: Over the 12-month time horizon, the hypothetical monotherapy is shown to dominate SOC; it generates lower costs and higher quality-adjusted life years in comparison to SSRI + AAP. Sensitivity and scenario analyses showed that this dominance depends largely on the monotherapy’s efficacy and tolerability advantages over SOC. Specifically, a monotherapy with ≥ 12% efficacy or ≥70% tolerability advantage (and a 50% price premium) will always be superior to SSRI + AAP. Between these two extremes, most profiles, nonetheless, generate incremental cost-utility ratios for the monotherapy, which fall below common payer willingness-to-pay thresholds.
Conclusion: Our adaptation of an existing economic model of TRD provides a flexible platform for researchers to evaluate the efficacy/tolerability improvements required for a successful new TRD product and for decision-makers to assess the cost-effectiveness impact of uncertainties inherent in early stage product development in TRD.
Methods: We adapted an existing economic model of TRD to evaluate the cost-effectiveness of a hypothetical monotherapy for TRD with a 25% efficacy advantage, a 10% tolerability advantage, and a 50% price premium over SOC (selective serotonin reuptake inhibitor plus atypical antipsychotics [SSRI + AAP]). The model is a hybrid of a decision tree that captures patients’ outcomes after an 8-week acute treatment phase and a Markov model that simulates patients’ depression course through a 10-month maintenance phase. Sensitivity (deterministic and probabilistic) and scenario analyses were conducted to characterize the relative impacts of the monotherapy’s three differentiating features over SOC.
Results: Over the 12-month time horizon, the hypothetical monotherapy is shown to dominate SOC; it generates lower costs and higher quality-adjusted life years in comparison to SSRI + AAP. Sensitivity and scenario analyses showed that this dominance depends largely on the monotherapy’s efficacy and tolerability advantages over SOC. Specifically, a monotherapy with ≥ 12% efficacy or ≥70% tolerability advantage (and a 50% price premium) will always be superior to SSRI + AAP. Between these two extremes, most profiles, nonetheless, generate incremental cost-utility ratios for the monotherapy, which fall below common payer willingness-to-pay thresholds.
Conclusion: Our adaptation of an existing economic model of TRD provides a flexible platform for researchers to evaluate the efficacy/tolerability improvements required for a successful new TRD product and for decision-makers to assess the cost-effectiveness impact of uncertainties inherent in early stage product development in TRD.
Original language | English |
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Journal | ClinicoEconomics and Outcomes Research |
DOIs | |
Publication status | Published - 1 Mar 2019 |