Determining cost and placement decisions for moderate complexity NAATs for tuberculosis drug susceptibility testing Article Swipe
Akash Malhotra
,
Ryan Thompson
,
Margaretha de Vos
,
Anura David
,
Samuel G. Schumacher
,
Hojoon Sohn
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0290496
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1371/journal.pone.0290496
Background Access to drug resistant testing for tuberculosis (TB) remains a challenge in high burden countries. Recently, the World Health Organization approved the use of several moderate complexity automated nucleic acid amplification tests (MC-NAAT) that have performance profiles suitable for placement in a range of TB laboratory tiers to improve drug susceptibility tests (DST) coverage. Methods We conducted cost analysis of two MC-NAATs with different testing throughput: Lower Throughput (LT, < 24 tests per run) and Higher Throughput (HT, upto 90+ tests per run) for placement in a hypothetical laboratory in a resource limited setting. We used per-test cost as the main indicator to assess 1) drivers of cost by resource types and 2) optimized levels of annual testing volumes for the respective MC-NAATs. Results The base-case per test cost of $18.52 (range: $13.79 - $40.70) for LT test and $15.37 (range: $9.61 - $37.40) for HT test. Per test cost estimates were most sensitive to the number of testing days per week, followed by equipment costs and TB-specific workloads. In general, HT NAATs were cheaper at all testing volume levels, but at lower testing volumes (less than 2,000 per year) LT tests can be cheaper if the durability of the testing system is markedly better and/or procured equipment costs are lower than that of HT NAAT. Conclusion Assuming equivalent performance and infrastructural needs, placement strategies for MC-NAATs need to be prioritized by laboratory system’s operational factors, testing demands, and costs.
Related Topics
Concepts
Tuberculosis
Extensively drug-resistant tuberculosis
Drug
Medicine
Intensive care medicine
Computational biology
Mycobacterium tuberculosis
Biology
Pharmacology
Pathology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0290496
- OA Status
- gold
- Cited By
- 3
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4386127501
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4386127501Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pone.0290496Digital Object Identifier
- Title
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Determining cost and placement decisions for moderate complexity NAATs for tuberculosis drug susceptibility testingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-08-24Full publication date if available
- Authors
-
Akash Malhotra, Ryan Thompson, Margaretha de Vos, Anura David, Samuel G. Schumacher, Hojoon SohnList of authors in order
- Landing page
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https://doi.org/10.1371/journal.pone.0290496Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1371/journal.pone.0290496Direct OA link when available
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Tuberculosis, Extensively drug-resistant tuberculosis, Drug, Medicine, Intensive care medicine, Computational biology, Mycobacterium tuberculosis, Biology, Pharmacology, PathologyTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2025: 1, 2024: 2Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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