Population-level surveillance of congenital heart defects among adolescents and adults in Colorado: Implications of record linkage

American Heart Journal
Tessa L CrumeArthur J Davidson

Abstract

The objective was to describe the design of a population-level electronic health record (EHR) and insurance claims-based surveillance system of adolescents and adults with congenital heart defects (CHDs) in Colorado and to evaluate the bias introduced by duplicate cases across data sources. The Colorado CHD Surveillance System ascertained individuals aged 11-64 years with a CHD based on International Classification of Diseases, Ninth Revision, Clinical Modification diagnostic coding between 2011 and 2013 from a diverse network of health care systems and an All Payer Claims Database (APCD). A probability-based identity reconciliation algorithm identified duplicate cases. Logistic regression was conducted to investigate bias introduced by duplicate cases on the relationship between CHD severity (severe compared to moderate/mild) and adverse outcomes including all-cause mortality, inpatient hospitalization, and major adverse cardiac events (myocardial infarction, congestive heart failure, or cerebrovascular event). Sensitivity analyses were conducted to investigate bias introduced by the sole use or exclusion of APCD data. A total of 12,293 unique cases were identified, of which 3,476 had a within or between data source duplicate....Continue Reading

Citations

Jul 5, 2021·The Journal of Pediatrics·Daniel B HortonMehmet Burcu
Nov 7, 2021·Journal of the American Medical Informatics Association : JAMIA·Anne-Sophie JannotUNKNOWN BNDMR infrastructure team

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