Document Detail


Effective coding in birth defects surveillance.
MedLine Citation:
PMID:  11745837     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Effective coding is critical to data collected by birth defects surveillance programs because subsequent use of the data depends on storage and retrieval of cases using codes. Hence, careful consideration needs to be given to the coding process. The primary goal of coding is to accurately, completely, and concisely represent infants with birth defects. Coding procedures need to accommodate the objectives of the surveillance program; for example, programs that focus on research may require different coding procedures from those that focus on linking infants to services. Several challenges exist in coding birth defects, including the need to distinguish infants with multiple defects and syndromes from those with isolated defects, and the need for strategies to code suspected defects for which confirmation is not available. Selection of a coding system by a birth defects surveillance program is central to the utility of the data collected. Most programs use a modification of the International Statistical Classification of Diseases and Related Health Problems-based (ICD) systems. This paper addresses ICD-based systems and the modifications used by many birth defects surveillance programs and presents examples of the problems in interpreting birth defects data because of inappropriate coding.
Authors:
S A Rasmussen; C A Moore
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Teratology     Volume:  64 Suppl 1     ISSN:  0040-3709     ISO Abbreviation:  Teratology     Publication Date:  2001  
Date Detail:
Created Date:  2001-12-17     Completed Date:  2002-03-04     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  0153257     Medline TA:  Teratology     Country:  United States    
Other Details:
Languages:  eng     Pagination:  S3-7     Citation Subset:  IM    
Affiliation:
National Center on Birth Defects and Developmental Disabilities, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA. skr9@cdc.gov
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MeSH Terms
Descriptor/Qualifier:
Congenital Abnormalities / classification*,  diagnosis*,  epidemiology*
Humans
Medical Records

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


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