Document Detail


Probabilistic Linkage of Assisted Reproductive Technology Information with Vital Records, Massachusetts 1997-2000.
MedLine Citation:
PMID:  21909704     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
To assess the validity of probabilistic linkage (PL) in combining national surveillance data on assisted reproductive technology (ART) with Massachusetts birth and infant death data, for the purpose of monitoring maternal and child health outcomes of ART. A study conducted in 2006 utilized direct identifiers to match Massachusetts birth records with records on ART procedures performed to Massachusetts residents in fertility clinics located in Massachusetts and Rhode Island, achieving a linkage rate of 87.5%. The present study employed PL using the program Link Plus, without access to direct identifiers. The primary linking variables were maternal and infant dates of birth, and plurality. Ancillary variables such as maternal ZIP code and gravidity helped resolve duplicate matches and capture additional matches. PL linked 5,390 (87.8%) of 6,139 deliveries, correctly identifying 96.4% of the matches previously obtained using deterministic linkage methods. PL yielded a high linkage rate with satisfactory validity; this method may be applied in other states to help monitor the maternal and child health outcomes of ART.
Authors:
Yujia Zhang; Bruce Cohen; Maurizio Macaluso; Zi Zhang; Tonji Durant; Angela Nannini
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2011-9-10
Journal Detail:
Title:  Maternal and child health journal     Volume:  -     ISSN:  1573-6628     ISO Abbreviation:  -     Publication Date:  2011 Sep 
Date Detail:
Created Date:  2011-9-12     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9715672     Medline TA:  Matern Child Health J     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
Division of Reproductive Health, Centers for Disease Control and Prevention, 4770 Buford Highway NE, MS k34, Atlanta, GA, 30341-3717, USA, YZhang2@cdc.gov.
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