Skip Navigation LinksHome > June 2010 - Volume 48 - Issue 6 > Confounding Control in Healthcare Database Research: Challen...
Medical Care:
doi: 10.1097/MLR.0b013e3181dbebe3
Comparative Effectiveness

Confounding Control in Healthcare Database Research: Challenges and Potential Approaches

Brookhart, M. Alan PhD*†; Stürmer, Til MD, MPH*†; Glynn, Robert J. PhD, ScD*†; Rassen, Jeremy ScD*†; Schneeweiss, Sebastian MD, ScD*†

Collapse Box

Abstract

Epidemiologic studies are increasingly used to investigate the safety and effectiveness of medical products and interventions. Appropriate adjustment for confounding in such studies is challenging because exposure is determined by a complex interaction of patient, physician, and healthcare system factors. The challenges of confounding control are particularly acute in studies using healthcare utilization databases where information on many potential confounding factors is lacking and the meaning of variables is often unclear. We discuss advantages and disadvantages of different approaches to confounder control in healthcare databases. In settings where considerable uncertainty surrounds the data or the causal mechanisms underlying the treatment assignment and outcome process, we suggest that researchers report a panel of results under various specifications of statistical models. Such reporting allows the reader to assess the sensitivity of the results to model assumptions that are often not supported by strong subject-matter knowledge.

© 2010 Lippincott Williams & Wilkins, Inc.

Login

Article Tools

Share

Search for Similar Articles
You may search for similar articles that contain these same keywords or you may modify the keyword list to augment your search.