A Technical Infrastructure to Conduct Randomized Database Studies Facilitated by a General Practice Research Database
- Georgio Mosis,
- Albert E Vlug,
- Mees Mosseveld,
- Jeanne P Dieleman,
- Bruno C Stricker,
- Johan van der Lei,
- Miriam C J M Sturkenboom
- Affiliations of the authors: Departments of Medical Informatics (GM, AEV, MM, JPD, JVDL, MCJMS) and Epidemiology and Biostatistics (GM, JPD, BCS, MDJMS), Erasmus University Medical Center Rotterdam, Rotterdam, the Netherlands
- Correspondence and reprints: Georgio Mosis, MSc, Department of Medical Informatics, Erasmus University Medical Center Rotterdam, P.O. Box 1738, 3000 DR Rotterdam, the Netherlands; e-mail: <g.mosis{at}gmail.com>
- Received 31 January 2005
- Accepted 27 July 2005
Abstract
General practice research databases are increasingly used to study intended and unintended effects of treatments. However, confounding by indication remains a major problem. The randomized database study methodology has been proposed as a method to combine the strengths of observational database (generalizability) and the strength of the randomized clinical trial (RCT) design (randomization). We developed an infrastructure that enables the execution of randomized database studies with treatment randomization facilitated by a general practice research database. The requirements posed by the methodology of randomized database studies were facilitated by software components. Our assessment showed that it is technically possible to conduct randomized trials in general practice according to the randomized database design. The infrastructure facilitated the conduct of randomized database studies in general practice but some practical difficulties and methodological issues remain. The technical infrastructure seems to be both promising and potentially feasible to facilitate future randomized database studies, although the methodology needs to be evaluated in more detail.
Footnotes
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↵* Confounding by indication is a term used when a variable is a risk factor for a disease among nonexposed persons and is associated with exposure of interest in the population from which the cases derive, without being an intermediate step in the causal pathway between the exposure and the disease.
