Molbio Diagnostics introduces TrueNat molecular tests, offering a breakthrough in diagnosing childhood tuberculosis within Nigeria’s primary healthcare framework.
Innovative Diagnostic Approach
The World Health Organisation emphasizes the need for swift molecular diagnostics to accurately identify tuberculosis in children. TrueNat MTB, MTB Plus, and MTB-RIF Dx assays, endorsed by WHO, present a promising solution as point-of-care tests, especially in settings with limited resources. Utilizing stool samples for these assays can broaden testing accessibility, ensure quicker linkage to care, and potentially lower costs compared to conventional diagnostic methods.
Cost-Effectiveness and Health Impact
A comprehensive study employing decision-tree modeling, time-and-motion analysis, and routine data assessment evaluated the implementation of stool-based TrueNat testing in Nigerian primary healthcare centers. Results indicate that while the overall health system costs would increase by approximately $2,682 for every 100 children tested, the incremental cost-effectiveness ratio stands at $183 per disability-adjusted life year (DALY) averted. This suggests that the TrueNat intervention is financially viable under the threshold of half the GDP per capita. Additionally, the intervention is expected to detect 2 more TB cases and improve bacteriological confirmation rates by 21%, potentially preventing one death and averting 15 DALYs per 100 children tested.
Inferences:
- TrueNat assays are more cost-effective than Xpert tests, costing $13.06 versus $16.25 per test.
- Implementation could lead to a 22% increase in diagnoses at primary health centers.
- Enhanced detection and confirmation rates may significantly reduce TB-related mortality and morbidity in children.
Adopting stool-based TrueNat testing could revolutionize tuberculosis diagnostics in Nigerian pediatric populations by making testing more accessible and reducing associated healthcare costs. This approach not only aligns with WHO recommendations but also offers a sustainable model for other resource-limited regions grappling with similar public health challenges.
This article has been prepared with the assistance of AI and reviewed by an editor. For more details, please refer to our Terms and Conditions. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author.
