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Published on: November 4, 2025
South African congenital disorders data, 2006 - 2014
V Lebese1, C Aldous, H L Malherbe
1School of Clinical Medicine, College of Health Sciences, Nelson R Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa. vuyimtyongwe@gmail.com.
South Africa's national congenital disorder (CD) surveillance system faces significant under-reporting challenges due to inconsistent facility compliance and limited genetics training. Enhancing the system with electronic data capture and targeted training is recommended.
Area of Science:
- Public Health
- Epidemiology
- Genetics
Background:
- The National Department of Health in South Africa has maintained a national congenital disorder (CD) surveillance system since 2006.
- No published reports exist detailing the system's data, methodology, achievements, or challenges.
Purpose of the Study:
- To evaluate the effectiveness of South Africa's national CD surveillance system.
- To assess the implementation of the current CD surveillance system.
Main Methods:
- A descriptive, retrospective study was conducted.
- An audit of the national CD database from 2006 to 2014 was performed.
- Data evaluated included notification numbers, CD types, and reporting quality across all nine South African provinces.
Main Results:
- A total of 14,571 notifications were received, comprising 13,252 CDs and 1,319 zero notifications.
- Commonly reported CDs included Down syndrome, cleft lip and palate, talipes equinovarus, neural tube defects, and albinism.
- Data was collected from all nine provinces in South Africa.
Conclusions:
- Major challenges identified were erratic health facility compliance and a lack of healthcare providers trained in human genetics.
- These challenges resulted in misdiagnosed, undiagnosed, and under-reported CDs, with under-reporting exceeding 98% during the review period.
- Recommendations include transitioning the surveillance system to an electronic format and piloting it with relevant training at sentinel sites to improve data quality and coverage.
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