Is introducing rapid culture into the diagnostic algorithm of smear-negative tuberculosis cost-effective?

S E T T I N G : In 2007, the World Health Organization recommended introducing rapid Mycobacterium tuberculosis culture into the diagnostic algorithm of smearnegative pulmonary tuberculosis (TB). O B J E C T IVE : To assess the cost-effectiveness of introducing a rapid non-commercial culture method (thinlayer agar), together with L¨ owenstein-Jensen culture to diagnose smear-negative TB at a district hospital in Kenya. D E S I G N : Outcomes (number of true TB cases treated) were obtained from a prospective study evaluating the effectiveness of a clinical and radiological algorithm (conventional) against the alternative algorithm (conventional plus M. tuberculosis culture) in 380 smearnegative TB suspects. The costs of implementing each algorithm were calculated using a 'micro-costing' or 'ingredient-based' method. We then compared the cost and effectiveness of conventional vs. culture-based algorithms and estimated the incremental cost-effectiveness ratio. RESULT S : The costs of conventional and culture-based algorithms per smear-negative TB suspect were respectively E39.5 and E144. The costs per confirmed and treated TB case were respectively E452 and E913. The culture-based algorithm led to diagnosis and treatment of 27 more cases for an additional cost of E1477 per case. CONCLUSION: Despite the increase in patients started on treatment thanks to culture, the relatively high cost of a culture-based algorithm will make it difficult for resource-limited countries to afford.

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Source ISSN: 1027-3719
Author Audibert, Martine, Bonnet, Marilyne, Chakaya, Jeremiah, Huerga, Helena, Sitienei, Joseph, Varaine, Francis, Yakhelef, Nadia
Maintainer CCSD
Last Updated May 5, 2026, 11:09 (UTC)
Created May 5, 2026, 11:09 (UTC)
Identifier halshs-00991625
Language fr
contributor Centre d'Études et de Recherches sur le Développement International (CERDI) ; Université d'Auvergne - Clermont-Ferrand I (UdA)-Centre National de la Recherche Scientifique (CNRS)
creator Audibert, Martine
date 2014-05-05T00:00:00
harvest_object_id 46bf7ee0-5e06-4f89-9abf-4494d30a38cb
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2023-03-24T00:00:00
set_spec type:ART