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评价多疾病研究中报告的数据链接过程及相关质量问题:系统方法学综述。

Evaluation of the reported data linkage process and associated quality issues for linked routinely collected healthcare data in multimorbidity research: a systematic methodology review.

机构信息

Faculty of Life Sciences and Medicine, King's College London, London, UK

Institute of Clinical Trials and Methodology, UCL, London, UK.

出版信息

BMJ Open. 2023 May 8;13(5):e069212. doi: 10.1136/bmjopen-2022-069212.

Abstract

OBJECTIVE

The objective of this systematic review was to examine how the record linkage process is reported in multimorbidity research.

METHODS

A systematic search was conducted in Medline, Web of Science and Embase using predefined search terms, and inclusion and exclusion criteria. Published studies from 2010 to 2020 using linked routinely collected data for multimorbidity research were included. Information was extracted on how the linkage process was reported, which conditions were studied together, which data sources were used, as well as challenges encountered during the linkage process or with the linked dataset.

RESULTS

Twenty studies were included. Fourteen studies received the linked dataset from a trusted third party. Eight studies reported variables used for the data linkage, while only two studies reported conducting prelinkage checks. The quality of the linkage was only reported by three studies, where two reported linkage rate and one raw linkage figures. Only one study checked for bias by comparing patient characteristics of linked and non-linked records.

CONCLUSIONS

The linkage process was poorly reported in multimorbidity research, even though this might introduce bias and potentially lead to inaccurate inferences drawn from the results. There is therefore a need for increased awareness of linkage bias and transparency of the linkage processes, which could be achieved through better adherence to reporting guidelines.

PROSPERO REGISTRATION NUMBER

CRD42021243188.

摘要

目的

本系统评价的目的是研究多发病研究中记录链接过程是如何报告的。

方法

使用预设的搜索词和纳入排除标准,在 Medline、Web of Science 和 Embase 中进行了系统搜索。纳入了 2010 年至 2020 年期间使用链接的常规收集数据进行多发病研究的已发表研究。提取了有关链接过程报告方式、一起研究的条件、使用的数据源以及在链接过程或链接数据集遇到的挑战的信息。

结果

共纳入 20 项研究。14 项研究从可信的第三方获得了链接数据集。8 项研究报告了用于数据链接的变量,而只有 2 项研究报告了进行预链接检查。只有 3 项研究报告了链接的质量,其中 2 项报告了链接率,1 项报告了原始链接数据。只有 1 项研究通过比较链接和非链接记录的患者特征来检查偏倚。

结论

多发病研究中记录链接过程报告不佳,尽管这可能会引入偏差,并可能导致从结果中得出不准确的推论。因此,需要提高对链接偏差的认识,并提高链接过程的透明度,可以通过更好地遵守报告指南来实现。

PROSPERO 注册号:CRD42021243188。

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