Viable Rate of Return for Social Impact Bonds Supporting Research and Development of Gene Therapies for Rare Conditions
Author(s)
Mingxuan Wu, MSc1, Katherine Payne, MSc, PhD1, Maya Buch, PhD FRCP2, Sean P. Gavan, BA, MSc, PhD1.
1Manchester Centre for Health Economics, The University of Manchester, Manchester, United Kingdom, 2Centre for Musculoskeletal Research, The University of Manchester, Manchester, United Kingdom.
1Manchester Centre for Health Economics, The University of Manchester, Manchester, United Kingdom, 2Centre for Musculoskeletal Research, The University of Manchester, Manchester, United Kingdom.
OBJECTIVES: Many gene therapies for rare conditions fail to secure investment-funds to support clinical trials (phase I/II/III) providing evidence to understand patient benefits and harms. Social impact bonds have the potential to appeal to private investors to finance clinical trials, with a rate of return on investment (ROI) that reflects developmental risks. This study aimed estimate a viable ROI for social impact bonds to finance research and development costs of exemplar gene therapies.
METHODS: A viable ROI was derived from a model-based evaluation to establish when the expected value of future repayments was worthwhile. The investment was assumed to cover development costs of a gene therapy from Phase I/II to the completion of Phase III. A decision tree depicted the consequent repayments (£; 2024 price-year) after failure/success at any phase. Three different repayment terms were evaluated: (1) base-case (repay unused investment at trial failure); (2) best-case (base-case plus 75% repayment guarantee for failure at Phase III); (3) worst-case (no repayment of unused investment at failure). One-way and probabilistic sensitivity analyses investigated the key development risks influencing the estimated ROI.
RESULTS: The estimated viable ROI for the base-case, best-case, and worst-case scenarios were 328%, 296%, and 482% of the investment, respectively. The one-way sensitivity analyses showed the key driver of the estimated ROI was the assumed probability of trial success; gene therapy trials with a lower probability of success had a higher estimated viable ROI for investors to reflect greater development risk. Probabilistic sensitivity analysis showed that securing repayment terms reduced the variance in the expected ROI.
CONCLUSIONS: Social impact bonds can be designed with a viable rate of return, informed the likelihood of sequential trial success rates, to support research and development costs of emerging gene therapies indicated for rare conditions.
METHODS: A viable ROI was derived from a model-based evaluation to establish when the expected value of future repayments was worthwhile. The investment was assumed to cover development costs of a gene therapy from Phase I/II to the completion of Phase III. A decision tree depicted the consequent repayments (£; 2024 price-year) after failure/success at any phase. Three different repayment terms were evaluated: (1) base-case (repay unused investment at trial failure); (2) best-case (base-case plus 75% repayment guarantee for failure at Phase III); (3) worst-case (no repayment of unused investment at failure). One-way and probabilistic sensitivity analyses investigated the key development risks influencing the estimated ROI.
RESULTS: The estimated viable ROI for the base-case, best-case, and worst-case scenarios were 328%, 296%, and 482% of the investment, respectively. The one-way sensitivity analyses showed the key driver of the estimated ROI was the assumed probability of trial success; gene therapy trials with a lower probability of success had a higher estimated viable ROI for investors to reflect greater development risk. Probabilistic sensitivity analysis showed that securing repayment terms reduced the variance in the expected ROI.
CONCLUSIONS: Social impact bonds can be designed with a viable rate of return, informed the likelihood of sequential trial success rates, to support research and development costs of emerging gene therapies indicated for rare conditions.
Conference/Value in Health Info
2025-11, ISPOR Europe 2025, Glasgow, Scotland
Value in Health, Volume 28, Issue S2
Code
SA102
Topic
Medical Technologies, Methodological & Statistical Research, Study Approaches
Topic Subcategory
Decision Modeling & Simulation
Disease
Genetic, Regenerative & Curative Therapies, No Additional Disease & Conditions/Specialized Treatment Areas, Rare & Orphan Diseases