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3.
Per Med ; 13(4): 337-345, 2016 Jul.
Article in English | MEDLINE | ID: mdl-29749814

ABSTRACT

Four challenges to the adoption of personalized medicine were identified in the mid-2000s - adherence to the blockbuster model, the lack of a supportive regulatory environment, the dysfunctional payment system and physician barriers. In this article, we report on our study findings based on interviews with 24 senior executives from leading drug and diagnostics companies to assess progress made in addressing those challenges over the last decade. Overall, we found that even with payer pushback and adjusting to new business models, the majority of developers expected their business to increase over the next 5 years. Several factors that unexpectedly helped to shape the personalized medicine landscape, such as the growth of support in genomic medicine from the public sector, are also discussed.

4.
Ther Innov Regul Sci ; 50(6): 759-768, 2016 Nov.
Article in English | MEDLINE | ID: mdl-30231735

ABSTRACT

BACKGROUND: With available funding from the public sector decreasing while medical needs and scientific complexity increase, private-sector collaborations with academia and government have become increasingly key in furthering medical innovation. Nonetheless, some skeptics diminish the contribution of the private sector to the discovery and development of truly innovative drugs on the one hand, while on the other hand they assert that research and development (R&D) of new medicines could and should be exclusively within control (at least financially) of the government. This begs the question, How much government funding would be needed to replace industry new drug R&D spending? METHODS: We address the respective roles of the private and public sectors in drug development by examining a diverse array of evidentiary materials on the history of 19 individual drugs, 6 drug classes, and 1 drug combination identified as the most transformative drugs in health care over the past 25 years by a survey of over 200 physicians. RESULTS: Only 4 of the individual drugs appear to have been almost completely researched and developed by one sector. One sector or the other, however, did dominate particular phases of the R&D continuum. For example, 54% of basic science milestones were achieved predominantly by the public sector and 27% by the private sector. For discovery milestones, it was 15% by the public sector and 58% by the private sector. The private sector was also dominant in achieving the major milestones for both the production and drug development phases (81% and 73% of the drugs reviewed, respectively). For 19% to 27% of the case histories for the various categories, dominance of one sector versus the other could not be determined. On the question of replacing industry's spending on the R&D of medicines, we estimate quite conservatively that the amount that would have to be spent by government would be nearly double the budget of the National Institutes of Health just to maintain the flow of the most innovative drug approvals and would have to increase nearly 2.5 times that level to maintain the development of all new drugs. CONCLUSIONS: Our analysis indicates that industry's contributions to the R&D of innovative drugs go beyond development and marketing and include basic and applied science, discovery technologies, and manufacturing protocols, and that without private investment in the applied sciences there would be no return on public investment in basic science.

7.
Clin Ther ; 37(8): 1852-8, 2015 Aug.
Article in English | MEDLINE | ID: mdl-26143223

ABSTRACT

PURPOSE: Meeting marketplace demands for proving the value of new products requires more data than the industry has routinely produced. These data include evidence from comparative effectiveness research (CER), including randomized, controlled trials; pragmatic clinical trials; observational studies; and meta-analyses. METHODS: We designed and conducted a survey to examine the industry's perceptions on new data requirements regarding CER evidence, the acceptability of postapproval study types, payer-specific issues related to CER, communication of data being generated postapproval, and methods used for facilitating postapproval evidence generation. FINDINGS: CER is being used by payers for most types of postapproval decisions. Randomized, controlled trials were indicated as the most acceptable form of evidence. At the same time, there was support for the utility of other types of studies, such as pragmatic clinical trials and observational studies. Respondents indicated the use of multiple formats for communicating postapproval data with many different stakeholders including regulators, payers, providers, and patients. Risk-sharing agreements with payers were unanimously supported by respondents with regard to certain products with unclear clinical and economic outcomes at launch. In these instances, conditional reimbursement through coverage with evidence development was considered a constructive option. The Food and Drug Administration's initiative called Regulatory Science was considered by the respondents as having the most impact on streamlining the generation of postapproval research-related evidence. IMPLICATIONS: The biopharmaceutical industry is faced with a broad and complex set of challenges related to evidence generation for postapproval decisions by a variety of health care system stakeholders. Uncertainty remains as to how the industry and payers use postapproval studies to guide decision making with regard to pricing and reimbursement status. Correspondingly, there is uncertainty regarding whether the industry's investment in CER will have a positive return on investment in terms of reimbursement and market access.


Subject(s)
Comparative Effectiveness Research/methods , Drug Industry , Product Surveillance, Postmarketing/methods , Communication , Comparative Effectiveness Research/economics , Comparative Effectiveness Research/statistics & numerical data , Costs and Cost Analysis/statistics & numerical data , Decision Making , Drug Approval/economics , Drug Approval/methods , Drug Industry/economics , Humans , Product Surveillance, Postmarketing/economics , Research Design , United States , United States Food and Drug Administration
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