Cost-effectiveness of different tuberculosis diagnostic approaches in Nigeria based on decision analytical modelling

Among PLWH in Nigeria, the TB-LAM algorithm represents the most cost-effective diagnostic strategy. However, the Xpert MTB/RIF Ultra may provide additional value in settings with sufficient infrastructure and funding. This study underscores the need for tailored diagnostic approaches that balance accuracy, scalability and affordability to enhance TB detection and management in vulnerable populations.

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Publication Details

Journal
BMJ Global Health
Published
2025-08-01
DOI
https://doi.org/10.1136/bmjgh-2025-019270
Citations
2
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
2.79

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article

Cost-effectiveness of different tuberculosis diagnostic approaches in Nigeria based on decision analytical modelling

Abdullahi Kabir Suleiman, Ibrahim Abdullahi, Hassan Muhammad Ibrahim, Jameel Ahmad et al.
2 citations
BMJ Global Health
Tuberculosis Research and Epidemiology
2.79
article

Cost-effectiveness of different tuberculosis diagnostic approaches in Nigeria based on decision analytical modelling

Abdullahi Kabir Suleiman, Ibrahim Abdullahi, Hassan Muhammad Ibrahim, Jameel Ahmad, Lukman Femi Owolabi, Rayyan Muhammad Garba, Yasir Nuhu Jibril, Muktar Hassan Aliyu, Baba Maiyaki Musa, Abdulgafar Lekan Olawumi, Faisal Saleh Dankishiya, Ibrahım Umar Garzali, Umar Abdullahi, F M Mahmud, Aisha A. Galadanci, Kabiru Abdulsalam, Amina A. Umar, Olive Asafu- Adjaye
article en
2 citations

Abstract

Among PLWH in Nigeria, the TB-LAM algorithm represents the most cost-effective diagnostic strategy. However, the Xpert MTB/RIF Ultra may provide additional value in settings with sufficient infrastructure and funding. This study underscores the need for tailored diagnostic approaches that balance accuracy, scalability and affordability to enhance TB detection and management in vulnerable populations.

BMJ Global HealthVol. 10(8)
Aminu Kano Teaching Hospital (NG), Vanderbilt University Medical Center (US), Bayero University Kano (NG)
U.S. Department of Health and Human Services, National Institutes of Health, Fogarty International Center
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Tuberculosis Research and Epidemiology
2.79
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