在英格兰国家数据库中复制 COVID-19 研究,以评估地区电子健康记录数据研究的普遍性

Richard Williams, David Jenkins, Thomas Bolton, Adrian Heald, Mehrdad A Mizani, Matthew Sperrin, Niels Peek, CVD-COVID-UK/COVID-IMPACT Consortium
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引用次数: 0

摘要

导言:利用电子健康记录数据复制观察性研究对于流行病学的证据基础至关重要。我们以前曾在一个大型城市化地区(英国大曼彻斯特地区的大曼彻斯特医疗记录)使用链接的初级和二级医疗数据进行过一项研究,比较了感染 COVID-19 后的糖尿病(1 型或 2 型)患者与匹配对照组的住院率。方法在本研究中,我们使用覆盖整个英国英格兰的国家数据库(英国国家医疗服务体系的英格兰安全数据环境服务,通过英国卫生基金会数据科学中心的 CVD-COVID-UK/COVID-IMPACT 联合会访问)重复了上述分析。结论有证据表明,较小区域数据集的研究结果可以推广到较大的全国范围内。然而,其中也存在一些重大差异,因此,复制研究仍然是医疗保健研究的重要组成部分。
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Replicating a COVID-19 study in a national England database to assess the generalisability of research with regional electronic health record data
Introduction The replication of observational studies using electronic health record data is critical for the evidence base of epidemiology. We have previously performed a study using linked primary and secondary care data in a large, urbanised region (Greater Manchester Care Record, Greater Manchester, UK) to compare the hospitalization rates of patients with diabetes (type 1 or type 2) after contracting COVID-19 with matched controls. Methods In this study we repeated the analysis using a national database covering the whole of England, UK (NHS England's Secure Data Environment service for England, accessed via the BHF Data Science Centre's CVD-COVID-UK/COVID-IMPACT Consortium). Results We found that many of the effect sizes did not show a statistically significant difference. Where effect sizes were statistically significant in the regional study, then they remained significant in the national study and the effect size was the same direction and of similar magnitude. Conclusion There is some evidence that the findings from studies in smaller regional datasets can be extrapolated to a larger, national setting. However, there were some significant differences and therefore replication studies remain an essential part of healthcare research.
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