Prioritizing research: evaluation of a portfolio management approach in clinical

优先研究：临床组合管理方法的评估

• 批准号: 8755544
• 负责人: Caroline Savage Bennette
• 金额: $ 3.82万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-07-01 至 2014-12-14
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8755544
• 关键词: Prioritizing; research; evaluation; portfolio; management

DESCRIPTION (provided by applicant): Fewer than half of all medical interventions in use today are supported by clinical evidence. Despite allocating more than $11 billion each year to support clinical research, federal funding for medical research lacks a coordinated system for prioritizing and allocating resources to efficiency address these important knowledge gaps. Thus a coordinated system to prioritize the most promising clinical research is critical if limited publc funds are to be used in ways that are likely to have the greatest impact on public health. Portfolio management is a systematic approach to decision-making that is widely used in the private sector to inform and manage research investments. The overall objective of this proposal is to determine whether a portfolio management framework can improve the efficiency of selecting and prioritizing publicly funded research studies within the setting of a large cancer clinical trials cooperative group. The key challenge to implementing such a framework in the public research setting is the difficultly in defining and efficiently estimating two key measures f performance the expected risk of failure and the expected societal return from the proposed research study. The aims of this proposal are therefore to develop and evaluate quantitative metrics of risk and return that are appropriate for the publicly funded clinical trial setting and relevant to and accepted by stakeholders. We will develop a statistical model to predict the risk of a clinical trial failure, defined as a trial that does not enroll a sufficient number of patient and consequently is unable to inform clinical practice patterns, based on trial-level variables available before the trial is launched. We will quantify the societal return of the proposed studie using Value of Information (VOI) analyses and will develop a process for rapidly and efficiently generating these estimates using a relatively new technique, minimal modeling VOI. Lastly, we will estimate measures of risk and return for a sample of recently reviewed clinical trial proposals to illustrate how a portfolio management framework can improve the efficiency of funding decisions within a cancer clinical trials cooperative group setting. Developing measures of risk and return will provide decision makers with valuable information on the study proposals they review and help them make more systematic and efficient funding decisions. If successful, this project could provide a novel prioritization paradigm for medical research organizations and funding agencies, and ultimately help maximize the public health impact of limited research funds.

描述（由申请人提供）：目前使用的所有医疗干预措施中，有临床证据支持的不到一半。尽管每年拨款超过110亿美元支持临床研究，但用于医学研究的联邦资金缺乏一个协调的系统来优先考虑和分配资源，以有效地解决这些重要的知识差距。因此，如果要将有限的公共资金用于可能对公共卫生产生最大影响的方式，一个优先考虑最有希望的临床研究的协调系统至关重要。投资组合管理是一种系统的决策方法，在私营部门广泛用于通知和管理研究投资。本提案的总体目标是确定投资组合管理框架是否可以提高在大型癌症环境中选择和优先考虑公共资助研究的效率