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Establishing the cost of Xpert MTB/RIF mobile testing in high-burden peri-mining communities in South Africa

BACKGROUND: Globally, tuberculosis remains a major cause of mortality, with an estimated 1.3 million deaths per annum. The Xpert MTB/RIF assay is used as the initial diagnostic test in the tuberculosis diagnostic algorithm. To extend the national tuberculosis testing programme in South Africa, mobil...

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Autores principales: Cassim, Naseem, Coetzee, Lindi M., Makuraj, Abel L., Stevens, Wendy S., Glencross, Deborah K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AOSIS 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8661292/
https://www.ncbi.nlm.nih.gov/pubmed/34917494
http://dx.doi.org/10.4102/ajlm.v10i1.1229
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author Cassim, Naseem
Coetzee, Lindi M.
Makuraj, Abel L.
Stevens, Wendy S.
Glencross, Deborah K.
author_facet Cassim, Naseem
Coetzee, Lindi M.
Makuraj, Abel L.
Stevens, Wendy S.
Glencross, Deborah K.
author_sort Cassim, Naseem
collection PubMed
description BACKGROUND: Globally, tuberculosis remains a major cause of mortality, with an estimated 1.3 million deaths per annum. The Xpert MTB/RIF assay is used as the initial diagnostic test in the tuberculosis diagnostic algorithm. To extend the national tuberculosis testing programme in South Africa, mobile units fitted with the GeneXpert equipment were introduced to high-burden peri-mining communities. OBJECTIVE: This study sought to assess the cost of mobile testing compared to traditional laboratory-based testing in a peri-mining community setting. METHODS: Actual cost data for mobile and laboratory-based Xpert MTB/RIF testing from 2018 were analysed using a bottom-up ingredients-based approach to establish the annual equivalent cost and the cost per result. Historical cost data were obtained from supplier quotations and the local enterprise resource planning system. Costs were obtained in rand and reported in United States dollars (USD). RESULTS: The mobile units performed 4866 tests with an overall cost per result of $49.16. Staffing accounted for 30.7% of this cost, while reagents and laboratory equipment accounted for 20.7% and 20.8%. The cost per result of traditional laboratory-based testing was $15.44 US dollars (USD). The cost for identifying a tuberculosis-positive result using mobile testing was $439.58 USD per case, compared to $164.95 USD with laboratory-based testing. CONCLUSION: Mobile testing is substantially more expensive than traditional laboratory services but offers benefits for rapid tuberculosis case detection and same-day antiretroviral therapy initiation. Mobile tuberculosis testing should however be reserved for high-burden communities with limited access to laboratory testing where immediate intervention can benefit patient outcomes.
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spelling pubmed-86612922021-12-15 Establishing the cost of Xpert MTB/RIF mobile testing in high-burden peri-mining communities in South Africa Cassim, Naseem Coetzee, Lindi M. Makuraj, Abel L. Stevens, Wendy S. Glencross, Deborah K. Afr J Lab Med Original Research BACKGROUND: Globally, tuberculosis remains a major cause of mortality, with an estimated 1.3 million deaths per annum. The Xpert MTB/RIF assay is used as the initial diagnostic test in the tuberculosis diagnostic algorithm. To extend the national tuberculosis testing programme in South Africa, mobile units fitted with the GeneXpert equipment were introduced to high-burden peri-mining communities. OBJECTIVE: This study sought to assess the cost of mobile testing compared to traditional laboratory-based testing in a peri-mining community setting. METHODS: Actual cost data for mobile and laboratory-based Xpert MTB/RIF testing from 2018 were analysed using a bottom-up ingredients-based approach to establish the annual equivalent cost and the cost per result. Historical cost data were obtained from supplier quotations and the local enterprise resource planning system. Costs were obtained in rand and reported in United States dollars (USD). RESULTS: The mobile units performed 4866 tests with an overall cost per result of $49.16. Staffing accounted for 30.7% of this cost, while reagents and laboratory equipment accounted for 20.7% and 20.8%. The cost per result of traditional laboratory-based testing was $15.44 US dollars (USD). The cost for identifying a tuberculosis-positive result using mobile testing was $439.58 USD per case, compared to $164.95 USD with laboratory-based testing. CONCLUSION: Mobile testing is substantially more expensive than traditional laboratory services but offers benefits for rapid tuberculosis case detection and same-day antiretroviral therapy initiation. Mobile tuberculosis testing should however be reserved for high-burden communities with limited access to laboratory testing where immediate intervention can benefit patient outcomes. AOSIS 2021-11-30 /pmc/articles/PMC8661292/ /pubmed/34917494 http://dx.doi.org/10.4102/ajlm.v10i1.1229 Text en © 2021. The Authors https://creativecommons.org/licenses/by/4.0/Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License.
spellingShingle Original Research
Cassim, Naseem
Coetzee, Lindi M.
Makuraj, Abel L.
Stevens, Wendy S.
Glencross, Deborah K.
Establishing the cost of Xpert MTB/RIF mobile testing in high-burden peri-mining communities in South Africa
title Establishing the cost of Xpert MTB/RIF mobile testing in high-burden peri-mining communities in South Africa
title_full Establishing the cost of Xpert MTB/RIF mobile testing in high-burden peri-mining communities in South Africa
title_fullStr Establishing the cost of Xpert MTB/RIF mobile testing in high-burden peri-mining communities in South Africa
title_full_unstemmed Establishing the cost of Xpert MTB/RIF mobile testing in high-burden peri-mining communities in South Africa
title_short Establishing the cost of Xpert MTB/RIF mobile testing in high-burden peri-mining communities in South Africa
title_sort establishing the cost of xpert mtb/rif mobile testing in high-burden peri-mining communities in south africa
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8661292/
https://www.ncbi.nlm.nih.gov/pubmed/34917494
http://dx.doi.org/10.4102/ajlm.v10i1.1229
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