Document Detail


Algorithms to estimate the beginning of pregnancy in administrative databases.
MedLine Citation:
PMID:  22550030     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
PURPOSE: The role of administrative databases for research on drug safety during pregnancy can be limited by their inaccurate assessment of the timing of exposure, as the gestational age at birth is typically unavailable. Therefore, we sought to develop and validate algorithms to estimate the gestational age at birth using information available in these databases.
METHODS: Using a population-based cohort of 286,432 mother-child pairs in British Columbia (1998-2007), we validated an ICD-9/10-based preterm-status indicator and developed algorithms to estimate the gestational age at birth on the basis of this indicator, maternal age, singleton/multiple status, and claims for routine prenatal care tests. We assessed the accuracy of the algorithm-based estimates relative to the gold standard of the clinical gestational age at birth recorded in the delivery discharge record.
RESULTS: The preterm-status indicator had specificity and sensitivity of 98% and 91%, respectively. Estimates from an algorithm that assigned 35 weeks of gestational age at birth to deliveries with the preterm-status indicator and 39 weeks to those without them were within 2 weeks of the clinical gestational age at birth in 75% of preterm and 99% of term deliveries.
CONCLUSIONS: Subtracting 35 weeks (245 days) from the date of birth in deliveries with codes for preterm birth and 39 weeks (273 days) in those without them provided the optimal estimate of the beginning of pregnancy among the algorithms studied.
Authors:
Andrea V Margulis; Soko Setoguchi; Murray A Mittleman; Robert J Glynn; Colin R Dormuth; Sonia Hernández-Díaz
Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Validation Studies     Date:  2012-05-02
Journal Detail:
Title:  Pharmacoepidemiology and drug safety     Volume:  22     ISSN:  1099-1557     ISO Abbreviation:  Pharmacoepidemiol Drug Saf     Publication Date:  2013 Jan 
Date Detail:
Created Date:  2013-01-08     Completed Date:  2013-06-03     Revised Date:  2014-01-10    
Medline Journal Info:
Nlm Unique ID:  9208369     Medline TA:  Pharmacoepidemiol Drug Saf     Country:  England    
Other Details:
Languages:  eng     Pagination:  16-24     Citation Subset:  IM    
Copyright Information:
Copyright © 2012 John Wiley & Sons, Ltd.
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MeSH Terms
Descriptor/Qualifier:
Algorithms*
British Columbia
Databases, Factual / statistics & numerical data*
Female
Gestational Age*
Humans
Infant, Newborn
Pregnancy
Premature Birth / epidemiology
Sensitivity and Specificity
Grant Support
ID/Acronym/Agency:
R21 HD055479/HD/NICHD NIH HHS; R21HD055479/HD/NICHD NIH HHS
Comments/Corrections

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