Department of Epidemiology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands.
Department of Pharmacy, University of Groningen, Groningen, The Netherlands.
Pharmacoeconomics. 2018 Jan;36(1):105-113. doi: 10.1007/s40273-017-0572-7.
The costs of performing research are an important input in value of information (VOI) analyses but are difficult to assess.
The aim of this study was to investigate the costs of research, serving two purposes: (1) estimating research costs for use in VOI analyses; and (2) developing a costing tool to support reviewers of grant proposals in assessing whether the proposed budget is realistic.
For granted study proposals from the Netherlands Organization for Health Research and Development (ZonMw), type of study, potential cost drivers, proposed budget, and general characteristics were extracted. Regression analysis was conducted in an attempt to generate a 'predicted budget' for certain combinations of cost drivers, for implementation in the costing tool.
Of 133 drug-related research grant proposals, 74 were included for complete data extraction. Because an association between cost drivers and budgets was not confirmed, we could not generate a predicted budget based on regression analysis, but only historic reference budgets given certain study characteristics. The costing tool was designed accordingly, i.e. with given selection criteria the tool returns the range of budgets in comparable studies. This range can be used in VOI analysis to estimate whether the expected net benefit of sampling will be positive to decide upon the net value of future research.
The absence of association between study characteristics and budgets may indicate inconsistencies in the budgeting or granting process. Nonetheless, the tool generates useful information on historical budgets, and the option to formally relate VOI to budgets. To our knowledge, this is the first attempt at creating such a tool, which can be complemented with new studies being granted, enlarging the underlying database and keeping estimates up to date.
开展研究的成本是信息价值(VOI)分析的重要投入要素,但难以评估。
本研究旨在调查研究成本,以实现两个目的:(1)估算 VOI 分析中使用的研究成本;(2)开发一种成本核算工具,以支持资助提案的评审员评估拟议预算是否合理。
从荷兰健康研究与发展组织(ZonMw)获得的已批准研究提案中,提取了研究类型、潜在成本驱动因素、拟议预算和一般特征。进行回归分析,试图为某些成本驱动因素的组合生成“预测预算”,以用于成本核算工具。
在 133 项与药物相关的研究资助提案中,有 74 项完成了完整的数据提取。由于未能确认成本驱动因素与预算之间的关联,我们无法基于回归分析生成预测预算,而只能根据特定研究特征提供历史参考预算。因此,设计了成本核算工具,即根据给定的选择标准,工具返回可比研究中的预算范围。该范围可用于 VOI 分析,以估计抽样的预期净收益是否为正,从而决定未来研究的净价值。
研究特征与预算之间缺乏关联可能表明预算编制或资助过程存在不一致。尽管如此,该工具仍提供了有关历史预算的有用信息,以及将 VOI 与预算正式联系起来的选项。据我们所知,这是首次尝试创建此类工具,随着新的研究获得批准,可以补充更多研究,扩大基础数据库并保持估算的最新性。