Bykov Katsiaryna, Jaksa Ashley, Lund Jennifer L, Franklin Jessica M, Girman Cynthia J, Gazarian Madlen, Yuan Hongbo, Duffield Stephen, Kent Seamus, Patorno Elisabetta
Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Aetion, Inc., Boston, MA, USA.
Value Health. 2025 Aug 5. doi: 10.1016/j.jval.2025.07.024.
OBJECTIVES: Real-world evidence (RWE) plays an increasingly important role in health technology assessment (HTA), as well as regulatory and clinical decision making. RWE studies, however, are subject to multiple sources of bias, which are often not easy to identify, impeding credibility and inclusion of RWE in decision-making. A comprehensive, fit-for-purpose, and easy-to-use bias assessment tool would help streamline RWE evaluation, enabling efficient utilization of RWE for decision-making globally. METHODS: A working group of the International Society for Pharmacoepidemiology (ISPE) collaborated with HTA experts to develop a tool that could guide bias assessment in observational studies on the comparative safety and effectiveness of medications, building upon existing methodological tools, best practice guidelines, and checklists for the analysis of real-world data. The tool was further tested and refined in collaboration with HTA agencies. RESULTS: APPRAISE (APpraisal of Potential for bias in ReAl world evIdence StudiEs) covers key domains through which bias might be introduced into an RWE study: inappropriate study design and analysis, exposure and outcome misclassification, and confounding. Each domain contains a series of questions. Responses to questions auto-populate a summary of the potential for bias within each domain and of the actions to take to avoid, mitigate, or explore the impact of bias. CONCLUSIONS: APPRAISE is a tool to guide bias assessment in observational studies on medication comparative effectiveness or safety. While the tool was designed for HTA, it will be useful for many other users of RWE and will help guide optimized RWE generation.
目的:真实世界证据(RWE)在卫生技术评估(HTA)以及监管和临床决策中发挥着越来越重要的作用。然而,RWE研究容易受到多种偏差来源的影响,这些偏差往往不易识别,从而阻碍了RWE在决策中的可信度和纳入。一个全面、适用且易于使用的偏差评估工具将有助于简化RWE评估,使RWE能够在全球范围内有效地用于决策。 方法:国际药物流行病学学会(ISPE)的一个工作组与HTA专家合作,在现有方法工具、最佳实践指南和真实世界数据分析清单的基础上,开发了一种能够指导药物比较安全性和有效性观察性研究中偏差评估的工具。该工具与HTA机构合作进行了进一步测试和完善。 结果:APPRAISE(对真实世界证据研究中偏差可能性的评估)涵盖了可能将偏差引入RWE研究的关键领域:不适当的研究设计和分析、暴露和结果错误分类以及混杂因素。每个领域都包含一系列问题。对问题的回答会自动生成每个领域内偏差可能性的总结以及为避免、减轻或探究偏差影响而应采取的行动。 结论:APPRAISE是一种用于指导药物比较有效性或安全性观察性研究中偏差评估的工具。虽然该工具是为HTA设计的,但它对许多其他RWE用户也将是有用的,并将有助于指导优化RWE的生成。
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