Development and validation of reporting guidelines for studies involving data linkage
Development and validation of reporting guidelines for studies involving data linkage
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DOI：
10.1111/j.1753-6405.2011.00741.x
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发表时间：
2011-10-01
影响因子：
3.5
通讯作者：
Brand, Caroline
中科院分区：
文献类型：
--
作者：
Bohensky, Megan A.;Jolley, Damien;Brand, Caroline
目的：数据或记录链接通常用于将现有数据集组合在一起，以产生更全面的信息来进行研究。如果案例链接不准确，关联数据可能会产生额外的错误问题。重要的是，影响使用关联数据的研究质量的因素应以清晰和一致的方式报告，使读者和研究人员能够准确地评估结果。本研究的目的是开发和测试报告指南，以评估使用关联数据的研究的方法学质量。方法：采用文献回顾法、德尔菲法和验证法。这个过程的参与者都是澳大利亚人，包括生物统计学家、流行病学家、注册管理人员、学术临床医生和一位同行评审的期刊编辑。结果：最终指南包括4个领域和14个报告项目。其中包括：数据源（6项）、研究选择变量（4项）、联动技术和数据分析（3项）、道德、隐私和数据安全（1项）。结论：本研究首次制定了评价数据关联研究报告质量的指南。意义：这些指南将帮助作者以一致的、高质量的方式报告他们的结果。它们还将帮助读者解释数据链接研究得出的结果的质量。
Objective: Data or record linkage is commonly used to combine existing data sets for the purpose of creating more comprehensive information to conduct research. Linked data may create additional concerns about error if cases are not linked accurately. It is important that factors compromising the quality of studies using linked data be reported in a clear and consistent way that allows readers and researchers to accurately appraise the results. The aim of this study was to develop and test reporting guidelines for evaluating the methodological quality of studies using linked data.Method: The development process included a literature review, a Delphi process and a validation process. Participants in the process were all Australian and included biostatisticians, epidemiologists, registry administrators, academic clinicians and a peer-reviewed journal editor.Results: The final guidelines included four domains and 14 reporting items. These included: data sources (six items), research selected variables (four items), linkage technology and data analysis (three items), and ethics, privacy and data security (one item). Conclusion: This study is the first to develop guidelines for appraising the quality of reported data linkage studies.Implications: These guidelines will assist authors to report their results in a consistent, high-quality manner. They will also assist readers to interpret the quality of results derived from data linkage studies.