Publications by authors named "Aanu Abayomi"
Article Synopsis
- Congenital anomalies (CA) significantly contribute to infant mortality and disability, prompting the need for effective surveillance systems to monitor these conditions, particularly through health administrative data.
- This study validated case definition algorithms for CA surveillance in British Columbia by linking birth data with health registries, measuring metrics like positive predictive value (PPV) and sensitivity to assess accuracy.
- Results indicated variable algorithm performance, with higher accuracy for easily recognizable conditions at birth; this suggests that other regions could adopt similar validated definitions to improve CA monitoring and facilitate comparisons across jurisdictions.
Setting: Congenital anomalies (CAs) can cause lifelong morbidity and accounted for 23.2% of infant deaths from 2003 to 2007. In British Columbia (BC), surveillance of CAs has been irregular since the early 2000s.
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