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1.
Front Public Health ; 8: 161, 2020.
Artigo em Inglês | MEDLINE | ID: mdl-32509716

RESUMO

Issuing monetary incentives, such as market entry rewards, to stimulate private firm engagement has been championed as a solution to our urgent need for new antibiotics, but we ask whether it is economically rational to simply take public ownership of antibiotics development instead. We show that the cost of indirectly funding antibiotics development through late phase policy interventions, such as market entry rewards may actually be higher than simple direct funding. This result is reached by running a Monte Carlo simulation comparing the cost of increasing the ratio of investment go-decisions at the outset of pre-clinical development, to the cost of directly funding the same antibiotics under various levels of operational inefficiency. We simulate costs for hypothetical antibiotics targeting six different indications, using data from previous studies. We conclude that while indirect funding may be necessary for the current pipeline we may want to prefer direct funding as a cost effective long-term solution for future antibiotics.


Assuntos
Antibacterianos , Investimentos em Saúde , Antibacterianos/uso terapêutico , Motivação
2.
J Law Med Ethics ; 46(1_suppl): 32-42, 2018 06.
Artigo em Inglês | MEDLINE | ID: mdl-30146961

RESUMO

We design an agent based Monte Carlo model of antibiotics research and development (R&D) to explore the effects of the policy intervention known as Market Entry Reward (MER) on the likelihood that an antibiotic entering pre-clinical development reaches the market. By means of sensitivity analysis we explore the interaction between the MER and four key parameters: projected net revenues, R&D costs, venture capitalists discount rates, and large pharmaceutical organizations' financial thresholds. We show that improving revenues may be more efficient than reducing costs, and thus confirm that this pull-based policy intervention effectively stimulates antibiotics R&D.


Assuntos
Antibacterianos , Pesquisa Biomédica , Descoberta de Drogas , Indústria Farmacêutica , Motivação , Política de Saúde , Humanos , Método de Monte Carlo
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