Study design for a comprehensive assessment of biologic safety using multiple healthcare data systems

被引:24
作者
Herrinton, Lisa J. [1 ]
Curtis, Jeffrey R. [2 ]
Chen, Lang [2 ]
Liu, Liyan [1 ]
Delzell, Elizabeth [2 ]
Lewis, James D. [3 ]
Solomon, Daniel H. [4 ]
Griffin, Marie R. [5 ,6 ,7 ]
Ouellet-Hellstom, Rita [8 ]
Beukelman, Timothy [2 ]
Grijalva, Carlos G. [5 ,6 ,7 ]
Haynes, Kevin [3 ]
Kuriya, Bindee [9 ]
Lii, Joyce [4 ]
Mitchel, Ed [5 ,6 ,7 ]
Patkar, Nivedita [2 ]
Rassen, Jeremy [10 ]
Winthrop, Kevin L. [11 ]
Nourjah, Parivash [12 ]
Saag, Kenneth G. [2 ]
机构
[1] Kaiser Permanente No Calif, Div Res, Oakland, CA 94612 USA
[2] Univ Alabama, UAB Ctr Educ & Res & Therapeut Musculoskeletal Di, Birmingham, AL USA
[3] Univ Penn, Dept Med, Dept Biostat & Epidemiol, Ctr Biostat & Epidemiol, Philadelphia, PA 19104 USA
[4] Brigham & Womens Hosp, Div Rheumatol, Boston, MA 02115 USA
[5] Vanderbilt Univ, Sch Med, Dept Prevent Med, Nashville, TN 37212 USA
[6] Vanderbilt Univ, Sch Med, Dept Med, Nashville, TN 37212 USA
[7] Vet Adm Tennessee Valley Hlth Care Syst, Mids Geriatr Res Educ & Clin Ctr, Nashville, TN USA
[8] US FDA, Silver Spring, MD USA
[9] Univ Toronto, Dept Rheumatol, Toronto, ON, Canada
[10] Brigham & Womens Hosp, Dept Med, Boston, MA 02115 USA
[11] Oregon Hlth & Sci Univ, Portland, OR 97201 USA
[12] US Agcy Healthcare Res & Qual, Ctr Outcomes & Evidence, Rockville, MD USA
关键词
rheumatoid arthritis; juvenile idiopathic arthritis; psoriatic arthritis; psoriasis; Crohn's disease; ulcerative colitis; inflammatory bowel disease; ankylosing spondylitis; adverse events; pharmacoepidemiology; drug safety; drug toxicity; cohort studies; propensity scores; computerized data; administrative data; Medicaid; Medicare; PROPENSITY SCORES;
D O I
10.1002/pds.2196
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
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 159000 subjects with rheumatic diseases, 33000 with psoriasis, and 46000 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 (C) 2011 John Wiley & Sons, Ltd.
引用
收藏
页码:1199 / 1209
页数:11
相关论文
共 15 条
[1]  
Agency for Healthcare Research and Quality, PRIOR POP
[2]  
*HLTH HUM SERV DEP, 2010, INT CLASS DIS 9 REV
[3]  
Kaiser Permanente Division of Research. Member Health Survey, MEMB HLTH SURV
[4]   THE ROBUST INFERENCE FOR THE COX PROPORTIONAL HAZARDS MODEL [J].
LIN, DY ;
WEI, LJ .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1989, 84 (408) :1074-1078
[5]  
NASS SJ, 2009, IIIPAA PRIVACY RULE
[6]   Privacy-Maintaining Propensity Score-Based Pooling of Multiple Databases Applied to a Study of Biologics [J].
Rassen, Jeremy A. ;
Solomon, Daniel H. ;
Curtis, Jeffrey R. ;
Herrinton, Lisa ;
Schneeweiss, Sebastian .
MEDICAL CARE, 2010, 48 (06) :S83-S89
[7]   Evaluating medication effects outside of clinical trials: New-user designs [J].
Ray, WA .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2003, 158 (09) :915-920
[8]   Estimating causal effects from large data sets using propensity scores [J].
Rubin, DB .
ANNALS OF INTERNAL MEDICINE, 1997, 127 (08) :757-763
[9]  
*SAS I, ROB SANDW VAR EST
[10]   High-dimensional Propensity Score Adjustment in Studies of Treatment Effects Using Health Care Claims Data [J].
Schneeweiss, Sebastian ;
Rassen, Jeremy A. ;
Glynn, Robert J. ;
Avorn, Jerry ;
Mogun, Helen ;
Brookhart, M. Alan .
EPIDEMIOLOGY, 2009, 20 (04) :512-522