Arch Dis Child. 2014 Jun;99(6):587-9. doi: 10.1136/archdischild-2013-304466. Epub 2014 Jan 31.
Databases are electronic filing systems that have been set up to capture patient data in a variety of clinical and administrative settings. While randomised controlled trials are the gold standard for the evaluation of healthcare interventions, electronic databases are valuable research options for studies of aetiology and prognosis, or where trials are too expensive/not logistically feasible. However, databases exist in many different settings and formats (often developed for administrative or financial reimbursement purposes rather than clinical research), and researchers need to put careful thought into identifying and acquiring relevant data sets. Accuracy of records and validation of diagnoses are key issues when planning a database study. High-quality databases can readily capture outcome data (as part of routine clinical care) without the costs and burden of additional trial-related follow-up, and there are promising hybrid models which combine the benefits of randomisation with the efficiency of outcome ascertainment using existing databases.
数据库是为了在各种临床和管理环境中捕获患者数据而建立的电子文件系统。虽然随机对照试验是评估医疗干预措施的金标准,但电子数据库对于病因学和预后研究或试验过于昂贵/在操作上不可行的研究是有价值的研究选择。然而,数据库存在于许多不同的环境和格式中(通常是为了管理或财务报销目的而不是临床研究而开发的),研究人员需要仔细考虑确定和获取相关数据集。在计划数据库研究时,记录的准确性和诊断的验证是关键问题。高质量的数据库可以在不增加额外试验相关随访的成本和负担的情况下(作为常规临床护理的一部分)轻松捕获结果数据,并且有一些有前途的混合模型,这些模型结合了随机化的优势和使用现有数据库进行结果确定的效率。