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药物流行病学中开展多国/数据库研究的10项实践考量

10 Practical Considerations for the Conduct of Multi-National/Database Studies in Pharmacoepidemiology.

作者信息

Man Kenneth K C, Pottegård Anton

机构信息

Research Department of Practice and Policy, School of Pharmacy, University College London, London, UK.

Clinical Pharmacology, Pharmacy and Environmental Medicine, Department of Public Health, University of Southern Denmark, Odense, Denmark.

出版信息

Pharmacoepidemiol Drug Saf. 2025 Sep;34(9):e70203. doi: 10.1002/pds.70203.

Abstract

BACKGROUND

Multi-national/database pharmacoepidemiological studies are increasingly used to address questions that require pooled evidence across populations but introduce challenges in design, harmonization, and analysis.

OBJECTIVE

To share 10 practical considerations and common pitfalls in planning, executing, and reporting multi-national/database studies, with strategies to mitigate them.

APPROACH

Practical guidance article synthesizing experience from multi-national/database projects and literature-based exemplars; no original data collection.

RESULTS

We summarize ten considerations spanning: protocol development; follow-up time and eligibility assessment; data harmonization (including thorough metadata and master mapping tables); feasibility checks within each source; statistical model diagnostics; and transparent reporting. We illustrate how local clinical practices, coding systems, and reimbursement policies can shape outcomes and interpretation, and we emphasize the need for proactive, consistent communication among collaborators to ensure aligned implementation.

CONCLUSION

Multi-national/database studies are complex but feasible with structured planning, clear communication, and proactive problem-solving. Adopting the outlined practices can reduce avoidable heterogeneity and improve the robustness and interpretability of findings.

摘要

背景

跨国/数据库药物流行病学研究越来越多地用于解决需要跨人群汇总证据的问题,但在设计、协调和分析方面带来了挑战。

目的

分享在规划、执行和报告跨国/数据库研究时的10条实际考虑因素和常见陷阱,以及减轻这些问题的策略。

方法

实用指南文章,综合跨国/数据库项目的经验和基于文献的范例;未进行原始数据收集。

结果

我们总结了十个方面的考虑因素,包括:方案制定;随访时间和资格评估;数据协调(包括详尽的元数据和主映射表);每个数据源内的可行性检查;统计模型诊断;以及透明报告。我们说明了当地临床实践、编码系统和报销政策如何影响结果和解释,并强调了合作者之间积极、一致沟通以确保协调实施的必要性。

结论

跨国/数据库研究很复杂,但通过结构化规划、清晰沟通和积极解决问题是可行的。采用上述做法可以减少可避免的异质性,提高研究结果的稳健性和可解释性。

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