García Rodríguez L A, Pérez Gutthann S
Centro Español de Investigación Farmacoepidemiológia, Madrid, Spain.
Br J Clin Pharmacol. 1998 May;45(5):419-25. doi: 10.1046/j.1365-2125.1998.00701.x.
The last decade has seen a surge in the use of computerized health care data for pharmacoepidemiology. Of all European databases, the General Practice Research Database (GPRD) in the UK, has been the most widely used for pharmacoepidemiological research. Since 1994, this database has belonged to the UK Department of Health, and is maintained by the Office of National Statistics (ONS). Currently, around 1500 general practitioners with a population coverage in excess of 3 million, systematically provide their computerized medical data anonymously to ONS. Validation studies of the GPRD have documented the recording of medical data into general practitioners' computers to be near to complete. The GPRD collects truly population-based data, has a size that makes it possible to follow-up large cohorts of users of specific drugs, and includes both outpatient and inpatient clinical information. The access to original medical records is excellent. Desirable improvements to the GPRD would be additional computerized information on certain variables and linkage to other health care databases. Most published studies to date have been in the area of drug safety. The General Practice Research Database has proved that valuable data can be collected in a general practice setting. The full potential of this rich computerized database has yet to come. This experience should serve to encourage others to develop similar population-based data in other countries.
在过去十年中,计算机化医疗保健数据在药物流行病学中的应用激增。在所有欧洲数据库中,英国的全科医疗研究数据库(GPRD)在药物流行病学研究中使用最为广泛。自1994年以来,该数据库归英国卫生部所有,由国家统计局(ONS)维护。目前,约1500名全科医生系统地将其覆盖超过300万人口的计算机化医疗数据匿名提供给国家统计局。对GPRD的验证研究表明,全科医生计算机中医疗数据的记录几乎是完整的。GPRD收集的是真正基于人群的数据,其规模使得跟踪大量特定药物使用者队列成为可能,并且包含门诊和住院临床信息。获取原始医疗记录的情况非常好。对GPRD进一步改进的方向是增加某些变量的计算机化信息,并与其他医疗保健数据库建立联系。迄今为止,大多数已发表的研究都集中在药物安全领域。全科医疗研究数据库已证明,在全科医疗环境中可以收集到有价值的数据。这个丰富的计算机化数据库的全部潜力尚未发挥出来。这一经验应促使其他国家鼓励开发类似的基于人群的数据。