Medical databases in studies of drug teratogenicity: methodological issues

Vera Ehrenstein1, Henrik T Sørensen1, Leiv S Bakketeig1,2, Lars Pedersen11Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; 2Norwegian Institute of Public Health, Oslo, NorwayAbstract: More than half of all pregnant women take prescription medications,...

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Main Authors: Vera Ehrenstein, Henrik T Sørensen, Leiv S Bakketeig, et al
Format: Article
Language:English
Published: Dove Medical Press 2010-03-01
Series:Clinical Epidemiology
Online Access:http://www.dovepress.com/medical-databases-in-studies-of-drug-teratogenicity-methodological-iss-a4126
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spelling doaj-26d3da5027a24ac491da307b6a6c138d2020-11-24T22:43:54ZengDove Medical PressClinical Epidemiology1179-13492010-03-012010default3743Medical databases in studies of drug teratogenicity: methodological issuesVera EhrensteinHenrik T SørensenLeiv S Bakketeiget alVera Ehrenstein1, Henrik T Sørensen1, Leiv S Bakketeig1,2, Lars Pedersen11Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; 2Norwegian Institute of Public Health, Oslo, NorwayAbstract: More than half of all pregnant women take prescription medications, raising concerns about fetal safety. Medical databases routinely collecting data from large populations are potentially valuable resources for cohort studies addressing teratogenicity of drugs. These include electronic medical records, administrative databases, population health registries, and teratogenicity information services. Medical databases allow estimation of prevalences of birth defects with enhanced precision, but systematic error remains a potentially serious problem. In this review, we first provide a brief description of types of North American and European medical databases suitable for studying teratogenicity of drugs and then discuss manifestation of systematic errors in teratogenicity studies based on such databases. Selection bias stems primarily from the inability to ascertain all reproductive outcomes. Information bias (misclassification) may be caused by paucity of recorded clinical details or incomplete documentation of medication use. Confounding, particularly confounding by indication, can rarely be ruled out. Bias that either masks teratogenicity or creates false appearance thereof, may have adverse consequences for the health of the child and the mother. Biases should be quantified and their potential impact on the study results should be assessed. Both theory and software are available for such estimation. Provided that methodological problems are understood and effectively handled, computerized medical databases are a valuable source of data for studies of teratogenicity of drugs.Keywords: databases, birth defects, epidemiologic methods, pharmacoepidemiology http://www.dovepress.com/medical-databases-in-studies-of-drug-teratogenicity-methodological-iss-a4126
collection DOAJ
language English
format Article
sources DOAJ
author Vera Ehrenstein
Henrik T Sørensen
Leiv S Bakketeig
et al
spellingShingle Vera Ehrenstein
Henrik T Sørensen
Leiv S Bakketeig
et al
Medical databases in studies of drug teratogenicity: methodological issues
Clinical Epidemiology
author_facet Vera Ehrenstein
Henrik T Sørensen
Leiv S Bakketeig
et al
author_sort Vera Ehrenstein
title Medical databases in studies of drug teratogenicity: methodological issues
title_short Medical databases in studies of drug teratogenicity: methodological issues
title_full Medical databases in studies of drug teratogenicity: methodological issues
title_fullStr Medical databases in studies of drug teratogenicity: methodological issues
title_full_unstemmed Medical databases in studies of drug teratogenicity: methodological issues
title_sort medical databases in studies of drug teratogenicity: methodological issues
publisher Dove Medical Press
series Clinical Epidemiology
issn 1179-1349
publishDate 2010-03-01
description Vera Ehrenstein1, Henrik T Sørensen1, Leiv S Bakketeig1,2, Lars Pedersen11Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark; 2Norwegian Institute of Public Health, Oslo, NorwayAbstract: More than half of all pregnant women take prescription medications, raising concerns about fetal safety. Medical databases routinely collecting data from large populations are potentially valuable resources for cohort studies addressing teratogenicity of drugs. These include electronic medical records, administrative databases, population health registries, and teratogenicity information services. Medical databases allow estimation of prevalences of birth defects with enhanced precision, but systematic error remains a potentially serious problem. In this review, we first provide a brief description of types of North American and European medical databases suitable for studying teratogenicity of drugs and then discuss manifestation of systematic errors in teratogenicity studies based on such databases. Selection bias stems primarily from the inability to ascertain all reproductive outcomes. Information bias (misclassification) may be caused by paucity of recorded clinical details or incomplete documentation of medication use. Confounding, particularly confounding by indication, can rarely be ruled out. Bias that either masks teratogenicity or creates false appearance thereof, may have adverse consequences for the health of the child and the mother. Biases should be quantified and their potential impact on the study results should be assessed. Both theory and software are available for such estimation. Provided that methodological problems are understood and effectively handled, computerized medical databases are a valuable source of data for studies of teratogenicity of drugs.Keywords: databases, birth defects, epidemiologic methods, pharmacoepidemiology
url http://www.dovepress.com/medical-databases-in-studies-of-drug-teratogenicity-methodological-iss-a4126
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