Document Detail


Reliability of birth certificate reporting of congenital anomalies.
MedLine Citation:
PMID:  1575847     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Birth certificates comprise an important source of data on the prevalence of genetic conditions and for monitoring possible teratogens in the population. Investigators have found wide variability (12 to 100%) in the accuracy of reporting. In a large public hospital, of those congenital anomalies detected at birth, only 5.4% were recorded on the birth certificate. This is one of the lowest rates ever reported. An underreporting correction factor may be applied if congenital anomalies are distributed randomly with respect to reporting status, and the rate of reporting is sufficient to comprise a valid sample for estimating a correction factor (that is, 20% or more reported). In this study, factors such as numbers or types of anomalies, race, infant birthweight, or estimated gestational age did not significantly influence the rate of birth certificate reporting. Thus, our data satisfied the first but not the second criterion for derivation of a correction factor. In conducting epidemiologic studies, birth certificate data should be used with: (1) great caution; (2) a system of validation with the medical record to estimate the degree of underreporting and to derive a correction factor; and (3) a priori knowledge that underreporting of congenital anomalies on this document is highly prevalent.
Authors:
L M Snell; B B Little; K A Knoll; W L Johnston; C R Rosenfeld; N F Gant
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  American journal of perinatology     Volume:  9     ISSN:  0735-1631     ISO Abbreviation:  Am J Perinatol     Publication Date:  1992 May 
Date Detail:
Created Date:  1992-06-11     Completed Date:  1992-06-11     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  8405212     Medline TA:  Am J Perinatol     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  219-22     Citation Subset:  IM    
Affiliation:
Department of Family Practice and Community Medicine, University of Texas Southwestern Medical Center, Dallas 75235-9067.
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MeSH Terms
Descriptor/Qualifier:
Bias (Epidemiology)
Birth Certificates*
Congenital Abnormalities / epidemiology*
Humans
Infant, Newborn
Medical Records
Prevalence
Texas / epidemiology
Grant Support
ID/Acronym/Agency:
507 RR05426-26/RR/NCRR NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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