Validation of case definition algorithms for the ascertainment of congenital anomalies.

ABSTRACT:

Background

Congenital anomalies (CA) are one of the leading causes of infant mortality and long-term disability. Many jurisdictions rely on health administrative data to monitor these conditions. Case definition algorithms can be used to monitor CA; however, validation of these algorithms is needed to understand the strengths and limitations of the data. This study aimed to validate case definition algorithms used in a CA surveillance system in British Columbia (BC), Canada.

Methods

A cohort of births between March 2000 and April 2002 in BC was linked to the Health Status Registry (HSR) and the BC Congenital Anomalies Surveillance System (BCCASS) to identify cases and non-cases of specific anomalies within each surveillance system. Measures of algorithm performance were calc

SUBMITTER: Nava de Escalante Y 

PROVIDER: S-EPMC10099451 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature