Swart Enno, Schmitt Jochen
Institut für Sozialmedizin und Gesundheitsökonomie, Medizinische Fakultät der Otto-von-Guericke-Universität Magdeburg, Magdeburg, Deutschland.
Zentrum für evidenzbasierte Gesundheitsversorgung, Lehrstuhl Sozialmedizin und Versorgungsforschung, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Dresden, Deutschland.
Z Evid Fortbild Qual Gesundhwes. 2014;108(8-9):511-6. doi: 10.1016/j.zefq.2014.08.022. Epub 2014 Sep 16.
Secondary data analyses will play an increasingly important role in health services research. But to date, there is no guideline for the systematic, transparent and complete reporting of secondary data. We investigated whether the STROBE statement, i.e., the recommendations for reporting observational studies, satisfies the specific characteristics of secondary data analyses and whether any specifications/modifications and extensions are necessary. For the majority of the 22 STROBE criteria, specifications and extensions are needed to meet the requirements of systematic, transparent and complete reporting of secondary data analysis. Seven aspects of secondary data analysis not covered by STROBE (legal aspects, data flow, protocol, unit of analysis, internal validations/definitions, advantages of secondary data utilisation, role of data owners) should be considered as a specific complement to STROBE. The so called STROSA (STandardized Reporting Of Secondary data Analyses) checklist therefore includes 29 items that relate to the title/abstract, introduction, methods, results and discussion sections of articles. The STROSA checklist is intended to support authors and readers in the critical appraisal of secondary data analyses. This proposal will now be subject to continued scientific discussions.
二次数据分析在卫生服务研究中将发挥越来越重要的作用。但迄今为止，尚无关于系统、透明和完整报告二次数据的指南。我们调查了STROBE声明（即观察性研究报告的建议）是否符合二次数据分析的特定特征，以及是否需要任何规范/修改和扩展。对于STROBE的22项标准中的大多数，需要规范和扩展以满足二次数据分析系统、透明和完整报告的要求。STROBE未涵盖的二次数据分析的七个方面（法律方面、数据流、方案、分析单位、内部验证/定义、二次数据利用的优势、数据所有者的作用）应被视为对STROBE的具体补充。因此，所谓的STROSA（二次数据分析标准化报告）清单包括与文章的标题/摘要、引言、方法、结果和讨论部分相关的29项内容。STROSA清单旨在支持作者和读者对二次数据分析进行批判性评价。这一提议现在将继续接受科学讨论。
