Literature DB >> 15862718

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

Sebastian Schneeweiss1, Jerry Avorn.   

Abstract

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.

Mesh:

Year:  2005        PMID: 15862718     DOI: 10.1016/j.jclinepi.2004.10.012

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  434 in total

1.  Identification of hospitalizations for intentional self-harm when E-codes are incompletely recorded.

Authors:  Amanda R Patrick; Matthew Miller; Catherine W Barber; Philip S Wang; Claire F Canning; Sebastian Schneeweiss
Journal:  Pharmacoepidemiol Drug Saf       Date:  2010-10-03       Impact factor: 2.890

2.  Effects of disease-modifying antirheumatic drugs on nonvertebral fracture risk in rheumatoid arthritis: a population-based cohort study.

Authors:  Seo Young Kim; Sebastian Schneeweiss; Jun Liu; Daniel H Solomon
Journal:  J Bone Miner Res       Date:  2012-04       Impact factor: 6.741

3.  Comparison of different approaches to confounding adjustment in a study on the association of antipsychotic medication with mortality in older nursing home patients.

Authors:  Krista F Huybrechts; M Alan Brookhart; Kenneth J Rothman; Rebecca A Silliman; Tobias Gerhard; Stephen Crystal; Sebastian Schneeweiss
Journal:  Am J Epidemiol       Date:  2011-09-20       Impact factor: 4.897

4.  Early steps in the development of a claims-based targeted healthcare safety monitoring system and application to three empirical examples.

Authors:  Peter M Wahl; Joshua J Gagne; Thomas E Wasser; Debra F Eisenberg; J Keith Rodgers; Gregory W Daniel; Marcus Wilson; Sebastian Schneeweiss; Jeremy A Rassen; Amanda R Patrick; Jerry Avorn; Rhonda L Bohn
Journal:  Drug Saf       Date:  2012-05-01       Impact factor: 5.606

5.  High-dimensional versus conventional propensity scores in a comparative effectiveness study of coxibs and reduced upper gastrointestinal complications.

Authors:  E Garbe; S Kloss; M Suling; I Pigeot; S Schneeweiss
Journal:  Eur J Clin Pharmacol       Date:  2012-07-05       Impact factor: 2.953

6.  Assessing residual confounding of the association between antipsychotic medications and risk of death using survey data.

Authors:  Sebastian Schneeweiss; Soko Setoguchi; M Alan Brookhart; Liljana Kaci; Philip S Wang
Journal:  CNS Drugs       Date:  2009       Impact factor: 5.749

7.  Plasmode simulation for the evaluation of pharmacoepidemiologic methods in complex healthcare databases.

Authors:  Jessica M Franklin; Sebastian Schneeweiss; Jennifer M Polinski; Jeremy A Rassen
Journal:  Comput Stat Data Anal       Date:  2014-04       Impact factor: 1.681

8.  Long-term risk of hip or forearm fractures in older occasional users of benzodiazepines.

Authors:  Hélène Carrier; Sébastien Cortaredona; Viviane Philipps; Hélène Jacqmin-Gadda; Marie Tournier; Hélène Verdoux; Pierre Verger
Journal:  Br J Clin Pharmacol       Date:  2020-05-10       Impact factor: 4.335

9.  Health state information derived from secondary databases is affected by multiple sources of bias.

Authors:  Darcey D Terris; David G Litaker; Siran M Koroukian
Journal:  J Clin Epidemiol       Date:  2007-04-08       Impact factor: 6.437

Review 10.  Using existing data to address important clinical questions in critical care.

Authors:  Colin R Cooke; Theodore J Iwashyna
Journal:  Crit Care Med       Date:  2013-03       Impact factor: 7.598

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