Study design for a comprehensive assessment of biologic safety using multiple healthcare data systems
- 15 September 2011
- journal article
- research article
- Published by Wiley in Pharmacoepidemiology and Drug Safety
- Vol. 20 (11) , 1199-1209
- https://doi.org/10.1002/pds.2196
Abstract
Background Although biologic treatments have excellent efficacy for many autoimmune diseases, safety concerns persist. Understanding the absolute and comparative risks of adverse events in patient and disease subpopulations is critical for optimal prescribing of biologics. Purpose The Safety Assessment of Biologic Therapy collaborative was federally funded to provide robust estimates of rates and relative risks of adverse events among biologics users using data from national Medicaid and Medicare plus Medicaid dual‐eligible programs, Tennessee Medicaid, Kaiser Permanente, and state pharmaceutical assistance programs supplementing New Jersey and Pennsylvania Medicare programs. This report describes the organizational structure of the collaborative and the study population and methods. Methods This retrospective cohort study (1998–2007) examined risks of seven classes of adverse events in relation to biologic treatments prescribed for seven autoimmune diseases. Propensity scores were used to control for confounding and enabled pooling of individual‐level data across data systems while concealing personal health information. Cox proportional hazard modeling was used to analyze study hypotheses. Results The cohort was composed of 159 000 subjects with rheumatic diseases, 33 000 with psoriasis, and 46 000 with inflammatory bowel disease. This report summarizes demographic characteristics and drug exposures. Separate reports will provide outcome definitions and estimated hazard ratios for adverse events. Conclusion This comprehensive research will improve understanding of the safety of these treatments. The methods described may be useful to others planning similar evaluations. Copyright © 2011 John Wiley & Sons, Ltd.Keywords
This publication has 7 references indexed in Scilit:
- Privacy-Maintaining Propensity Score-Based Pooling of Multiple Databases Applied to a Study of BiologicsMedical Care, 2010
- High-dimensional Propensity Score Adjustment in Studies of Treatment Effects Using Health Care Claims DataEpidemiology, 2009
- Analytic Strategies to Adjust Confounding using Exposure Propensity Scores and Disease Risk Scores: Nonsteroidal Antiinflammatory Drugs and Short-term Mortality in the ElderlyAmerican Journal of Epidemiology, 2005
- Evaluating Medication Effects Outside of Clinical Trials: New-User DesignsAmerican Journal of Epidemiology, 2003
- Estimating Causal Effects from Large Data Sets Using Propensity ScoresAnnals of Internal Medicine, 1997
- The Robust Inference for the Cox Proportional Hazards ModelJournal of the American Statistical Association, 1989
- The Robust Inference for the Cox Proportional Hazards ModelJournal of the American Statistical Association, 1989