A review of uses of health care utilization databases for epidemiologic research on therapeutics

被引:954
作者
Schneeweiss, S
Avorn, J
机构
[1] Brigham & Womens Hosp, Dept Med, Div Pharmacoepidemiol & Pharmacoecon, Boston, MA 02120 USA
[2] Harvard Univ, Sch Med, Boston, MA 02120 USA
关键词
utilization databases; claims data; therapeuties; pharmaco-epidemiology; confounding (epidemiology); adverse drug reactions; drug utilization;
D O I
10.1016/j.jclinepi.2004.10.012
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Objective: Large health care utilization databases are frequently used in variety of settings to study the use and outcomes of therapeutics. Their size allows the study of infrequent events, their representativeness of routine clinical care makes it possible to study real-world effectiveness and utilization patterns, and their availability at relatively low cost without long delays makes them accessible to many researchers. However, concerns about database studies include data validity, lack of detailed clinical information, and a limited ability to control confounding. Study Design and Setting: We consider the strengths, limitations, and appropriate applications of health care utilization databases in epidemiology and health services research, with particular reference to the study of medications. Conclusion: Progress has been made on many methodologic issues related to the use of health care utilization databases in recent years, but important areas persist and merit scrutiny. (c) 2005 Elsevier Inc. All rights reserved.
引用
收藏
页码:323 / 337
页数:15
相关论文
共 117 条
[1]  
[Anonymous], 1995, J Clin Epidemiol, V48, P1441
[2]  
[Anonymous], PHARMACOEPIDEMIOL DR
[3]  
Avorn J., 2004, Powerful Medicines. The Benefits, Risks
[4]   Association of road-traffic accidents with benzodiazepine use [J].
Barbone, F ;
McMahon, AD ;
Davey, PG ;
Morris, AD ;
Reid, IC ;
McDevitt, DG ;
MacDonald, TM .
LANCET, 1998, 352 (9137) :1331-1336
[5]   Long-term persistence in use of statin therapy in elderly patients [J].
Benner, JS ;
Glynn, RJ ;
Mogun, H ;
Neumann, PJ ;
Weinstein, MC ;
Avorn, J .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2002, 288 (04) :455-461
[6]   Rare outcomes, common treatments: Analytic strategies using propensity scores [J].
Braitman, LE ;
Rosenbaum, PR .
ANNALS OF INTERNAL MEDICINE, 2002, 137 (08) :693-695
[7]   USE OF THE POSITIVE PREDICTIVE VALUE TO CORRECT FOR DISEASE MISCLASSIFICATION IN EPIDEMIOLOGIC STUDIES [J].
BRENNER, H ;
GEFELLER, O .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 1993, 138 (11) :1007-1015
[8]   MEDICAID DATA AS A RESOURCE FOR EPIDEMIOLOGIC STUDIES - STRENGTHS AND LIMITATIONS [J].
BRIGHT, RA ;
AVORN, J ;
EVERITT, DE .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 1989, 42 (10) :937-945
[9]  
BROOKHART MA, IN PRESS J CLIN EPID
[10]   Comparison of logistic regression versus propensity score when the number of events is low and there are multiple confounders [J].
Cepeda, MS ;
Boston, R ;
Farrar, JT ;
Strom, BL .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 2003, 158 (03) :280-287