Document Detail

Improving completeness of ascertainment and quality of information for pregnancies through linkage of administrative and clinical data records.
MedLine Citation:
PMID:  23790349     Owner:  NLM     Status:  In-Data-Review    
PURPOSE: Birth cohorts are a common tool used in epidemiological studies about pregnancy; yet these datasets systematically miss pregnancies that are spontaneously lost or terminated. This study examined the feasibility of linking administrative and clinical datasets from Alberta Canada to identify a pregnancy cohort that includes spontaneous and medical pregnancy losses.
METHODS: Deterministic linkage was used to link data from twelve clinical and administrative datasets for women who conceived between November 2007 and February 2008. Descriptive statistics were used to characterize the relative contribution of each dataset to the overall dataset.
RESULTS: Overall, 6,477 unique pregnancies were eligible for inclusion, resulting in a live birth rate of 94.1%, a stillbirth rate of 0.5%, a fetal death rate of 4.1%, and an estimated 1.3% of the cohort moving out of the study area. No single dataset could identify all pregnancies. Individual databases identified 2.0-99.1% of the cohort. Fetal deaths were most frequently identified in outpatient physician claims, emergency room visits, ultrasound data, or from the cytogenetic laboratory.
CONCLUSIONS: Linkage of clinical and administrative databases to identify pregnancy is feasible and can overcome many limitations associated with the use of a single dataset; however, fetal deaths continue to be under-ascertained.
Amy Metcalfe; Andrew W Lyon; Jo-Ann Johnson; Francois Bernier; Gillian Currie; Lisa M Lix; Suzanne C Tough
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Annals of epidemiology     Volume:  23     ISSN:  1873-2585     ISO Abbreviation:  Ann Epidemiol     Publication Date:  2013 Jul 
Date Detail:
Created Date:  2013-06-24     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9100013     Medline TA:  Ann Epidemiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  444-7     Citation Subset:  IM    
Copyright Information:
Copyright © 2013 Elsevier Inc. All rights reserved.
Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, Canada. Electronic address:
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