Edmondson Meghan E, Reimer Andrew P
Author Affiliation: Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, Ohio.
Comput Inform Nurs. 2020 Jul;38(7):338-348. doi: 10.1097/CIN.0000000000000609.
The wide adoption of electronic medical records and subsequent availability of large amounts of clinical data provide a rich resource for researchers. However, the secondary use of clinical data for research purposes is not without limitations. In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, we conducted a systematic review to identify current issues related to secondary use of electronic medical record data via MEDLINE and CINAHL databases. All articles published until June 2018 were included. Sixty articles remained after title and abstract review, and four domains of potential limitations were identified: (1) data quality issues, present in 91.7% of the articles reviewed; (2) data preprocessing challenges (53.3%); (3) privacy concerns (18.3%); and (4) potential for limited generalizability (21.7%). Researchers must be aware of the limitations inherent to the use of electronic medical record data for research and consider the potential effects of these limitations throughout the entire study process, from initial conceptualization to the identification of adequate sources that can provide data appropriate for answering the research questions, analysis, and reporting study results. Consideration should also be given to using existing data quality assessment frameworks to facilitate use of standardized data quality definitions and further efforts of standard data quality reporting in publications.
电子病历的广泛采用以及随之而来的大量临床数据的可得性为研究人员提供了丰富的资源。然而,将临床数据用于研究目的的二次利用并非没有局限性。按照系统评价与荟萃分析优先报告项目指南,我们通过MEDLINE和CINAHL数据库进行了一项系统评价,以确定与电子病历数据二次利用相关的当前问题。纳入了截至2018年6月发表的所有文章。经过标题和摘要审查后,剩下60篇文章,并确定了潜在局限性的四个领域:(1)数据质量问题,在所审查文章中的占比为91.7%;(2)数据预处理挑战(53.3%);(3)隐私问题(18.3%);以及(4)普遍性有限的可能性(21.7%)。研究人员必须意识到将电子病历数据用于研究的固有局限性,并在从最初概念化到确定能够提供适合回答研究问题的数据的适当来源、分析以及报告研究结果的整个研究过程中考虑这些局限性的潜在影响。还应考虑使用现有的数据质量评估框架,以促进标准化数据质量定义的使用,并在出版物中进一步努力进行标准数据质量报告。