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Cost-Effectiveness Analysis of Molnupiravir Versus Best Supportive Care for the Treatment of Outpatient COVID-19 in Adults in the US

Author

Listed:
  • Hardik Goswami

    (BARDS-Health Economics and Decision Science, Merck & Co, Inc.
    BARDS-Health Economics and Decision Science, Merck & Co, Inc.)

  • Adnan Alsumali

    (BARDS-Health Economics and Decision Science, Merck & Co, Inc.)

  • Yiling Jiang

    (BARDS-Health Economics and Decision Science MSD (UK) Ltd)

  • Matthias Schindler

    (BARDS-HTA, MSD Ltd)

  • Elizabeth R. Duke

    (Fred Hutchinson Cancer Research Center)

  • Joshua Cohen

    (Center for the Evaluation of Value and Risk in Health)

  • Andrew Briggs

    (London School of Hygiene and Tropical Medicine)

  • Amy Puenpatom

    (BARDS-Health Economics and Decision Science, Merck & Co, Inc.)

Abstract

Background and aims Coronavirus disease 2019 (COVID-19) imposes a substantial and ongoing burden on the US healthcare system and society. Molnupiravir is a new oral antiviral for treating COVID-19 in outpatient settings. This study evaluated the cost-effectiveness profile of molnupiravir versus best supportive care in the treatment of adult patients with mild-to-moderate COVID-19 at risk of progression to severe disease, from a US payer’s perspective. Methods The model was developed using a decision tree for the short-term acute phase of COVID-19 and a Markov state transition model for the long-term post-acute phase. This model compared molnupiravir with best supportive care as consistent with the MOVe-OUT trial. Costs were reported in 2021 US dollars. Transition probabilities were derived from the phase III MOVe-OUT trial and the TriNetX real-world electronic health records database. Costs were derived from the TriNetX database and utility values from a de novo, vignette-based utility study. Deterministic and probabilistic sensitivity analyses (DSA/PSA) were conducted. Primary outcomes included proportion hospitalized, proportion who died overall and by highest healthcare setting at the end of the acute phase, quality-adjusted life-years (QALYs), and incremental costs per QALY gained over a lifetime (100 years) horizon, discounted at 3% annually and assessed at a willingness-to-pay (WTP) threshold of $100,000 per QALY. Results In this model, the use of molnupiravir led to an increase in QALYs (0.210) and decrease in direct total medical costs (−$895) per patient across a lifetime horizon, compared with best supportive care in COVID-19 outpatients. Molnupiravir was the dominant intervention when compared with best supportive care. Patients treated with molnupiravir were less likely to be hospitalized (6.38% vs. 9.20%) and more likely to remain alive (99.88% vs. 98.71%) during the acute phase. Through DSA, molnupiravir treatment effect of hospitalization reduction was identified to be the most influential parameter, and through PSA, molnupiravir remained dominant in 84% of the total simulations and, overall, 100% cost effective. Conclusion This analysis suggests that molnupiravir is cost effective compared with best supportive care for the treatment of adult outpatients with COVID-19. However, our study was limited by the unavailability of the most recent information on the rapidly evolving pandemic, including new viral variants, patient populations affected, and changes in standards of care. Further research should explore the impact of vaccination on the cost effectiveness of molnupiravir and other therapies, based on real-world data, to account for these changes, including the impact of vaccination and immunity.

Suggested Citation

  • Hardik Goswami & Adnan Alsumali & Yiling Jiang & Matthias Schindler & Elizabeth R. Duke & Joshua Cohen & Andrew Briggs & Amy Puenpatom, 2022. "Cost-Effectiveness Analysis of Molnupiravir Versus Best Supportive Care for the Treatment of Outpatient COVID-19 in Adults in the US," PharmacoEconomics, Springer, vol. 40(7), pages 699-714, July.
  • Handle: RePEc:spr:pharme:v:40:y:2022:i:7:d:10.1007_s40273-022-01168-0
    DOI: 10.1007/s40273-022-01168-0
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    References listed on IDEAS

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