“What we did was develop a way to bridge that gap,” Montano-Campos said. “We started by estimating what it currently costs to treat sickle cell disease in Uganda over a patient’s lifetime, and then used that as a reference point to adjust U.S.-based models so they better reflect Uganda’s context.”
The results showed that the answer depends strongly on how value is defined. When only direct healthcare costs were considered, gene therapy remained difficult to justify economically. But when broader societal effects were included—such as reduced caregiver burden, improved productivity, fewer hospitalizations, and improved quality of life—the picture changed substantially.
Under those conditions, Casgevy approached commonly used willingness-to-pay thresholds for Uganda based on GDP per capita, suggesting it could be considered cost-effective in some scenarios. Lyfgenia showed similar health benefits but was less favorable economically due to higher modeled costs.
Importantly, the analysis also showed what happens if U.S. list prices are applied without adjustment. In that case, cost-effectiveness ratios increased dramatically, far exceeding any plausible affordability threshold for Uganda. The contrast highlights a key finding of the study: whether gene therapy is “affordable” is not only a question of clinical value, but also of pricing and context.
“An important part of this work is that it helps estimate what a reasonable price might look like in a setting like Uganda,” Montano-Campos said. “That is, a price where the health benefits would justify the cost.”
Beyond sickle cell disease, the authors argue that the framework could be applied more broadly to other emerging high-cost therapies being developed almost exclusively in high-income countries. As of recent years, the vast majority of gene therapy trials remain outside low-income settings, leaving major gaps in evidence for regions where disease burden is often highest.
“The main contribution is really this framework,” Montano-Campos said. “It provides a practical way to evaluate new, high-cost therapies in places where data are limited or nonexistent, and it helps inform decisions about pricing, access, and how to make these innovations more equitable globally.”
The work does not suggest that implementing gene therapy in Uganda is immediately feasible. Significant challenges remain around infrastructure, financing, delivery models, and regulatory capacity. But it does change the framing of the question—from whether these therapies belong in low-income countries at all, to what conditions would be required to make their access possible.