Big data: Using databases and registries

被引:1
|
作者
Jacob-Brassard, Jean [1 ,2 ]
de Mestral, Charles [1 ,2 ]
机构
[1] Univ Toronto, Dept Surg, Toronto, ON, Canada
[2] St Michaels Hosp, Li Ka Shing Knowledge Inst, Toronto, ON M5B 1W8, Canada
关键词
PERIPHERAL ARTERY-DISEASE; LONG-TERM OUTCOMES; PROPENSITY SCORE; BIAS; MODELS;
D O I
10.1053/j.semvascsurg.2022.09.002
中图分类号
R61 [外科手术学];
学科分类号
摘要
The field of vascular surgery is in constant evolution. Administrative data and registries can provide important contemporary evidence to inform clinical decision making and delivery of health services. This review outlines some important considerations for retrospective studies using administrative health databases and registries. First, these data sources have advantages (e.g., real-world applicability, timely data access, and relatively lower research cost) and disadvantages (e.g., potential missing data, selection bias, and confounding bias) that may be more or less relevant to different administrative databases or registries. Second, a framework to guide data source selection and provide a summary of frequently used data sources in vascular surgery research is discussed. Third, a retrospective study design warrants planned exposure, outcome, and covariate definitions and, when studying an exposure-outcome association, careful consideration of confounders through direct acyclic graphs. Finally, investigators must plan the most appropriate analytic approach, and we distinguish descriptive, explanatory, and predictive analyses. (c) 2022 Elsevier Inc. All rights reserved.
引用
收藏
页码:413 / 423
页数:11
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