ArticleInternational health2021
Estimating TB diagnostic costs incurred under the National Tuberculosis Elimination Programme: a costing study from Tamil Nadu, South India.
Article in International health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 20 citations in OpenAlex.
- Projecting the Impact and Costs of Near Point-of-Care Tuberculosis Screening Assays in Community-based Active Case Finding.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025Article
- Importance of confirmatory test characteristics in optimizing community-based screening for tuberculosis: an epidemiological modeling analysis.BMC infectious diseases · 2025Article
- Cost-effectiveness analysis of AI-assisted chest X-ray interpretation tools for TB screening: a rapid HTA.Frontiers in digital health · 2025Article
- Cost-effectiveness of Low-complexity Screening Tests in Community-based Case-finding for Tuberculosis.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024Article
- Cost estimation of COVID Kavach test developed in 2020: A National Reference Laboratory initiative during early phase of Indian pandemic mitigation.The Indian journal of medical research · 2023Article
- The Cost-Effectiveness of the BEAT-TB Regimen for Pre-Extensively Drug-Resistant TB.Tropical medicine and infectious disease · 2023Article
- New tuberculosis vaccines in India: modelling the potential health and economic impacts of adolescent/adult vaccination with M72/AS01BMC medicine · 2023Article
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7 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundThe National Tuberculosis Elimination Programme (NTEP) of India is aiming to eliminate TB by 2025. The programme has increased its services and resources to strengthen the accurate and early detection of TB. It is important to estimate the cost of TB diagnosis in India considering the advancement and implementation of new diagnostic tools under the NTEP. The objective of this study was to estimate the unit costs of providing TB diagnostic services at different levels of public health facilities with different algorithms implemented under the NTEP in Chennai, Tamil Nadu, South India.
methodsThis costing study was conducted from the perspective of the health system. This study used only secondary data and information that were available in the public domain. Data were collected with the approval of health authorities. The patient's diagnostic path from the point of registration until the final diagnosis was considered in the costing exercise. The unit costs of different diagnostic tools used in the NTEP implemented by Chennai Corporation were calculated.
resultsWe estimated the unit cost of the eight laboratory tests (Ziehl-Neelsen [ZN], fluorescence microscopy [FM], x-ray, digital x-ray, gene Xpert MTB/RIF (cartridge-based nucleic acid amplification test [NAAT] that identifies rifampicin resistant Mycobacterium Tuberculosis) Mycobacterium Tuberculosis/Rifampicin [MTB/RIF], mycobacteria growth indicator tube [MGIT], line probe assay [LPA] and Lowenstein Jensen [LJ] culture) for diagnosis of drug-sensitive and drug-resistant TB. The unit costs included fixed and variable costs for smear examination by ZN microscopy (₹ [Indian Rupee] 326 [US${\$}$4.72], FM (₹104 [US${\$}$1.5]), x-ray (₹218 [US${\$}$3.15]), digital X-ray (₹281 [US${\$}$4.07]), gene Xpert MTB/RIF (₹1137 [US${\$}$16.47]), MGIT (₹7038 [US${\$}$102]), LPA (₹6448 [US${\$}$93.44]) and LJ culture (₹4850 [US${\$}$70.28]). Out of 10 diagnostic algorithms used for TB diagnosis, algorithms using only smear microscopy had the lowest cost, followed by smear microscopy with x-ray for drug-sensitive TB (₹104 [US${\$}$1.5] to ₹544 [US${\$}$7.88]). Diagnostic algorithms for drug-resistant TB involving LPA and gene Xpert MTB/RIF were the most expensive.
conclusionsUnderstanding the various costs contributing to TB diagnosis in India provides crucial evidence for policymakers, programme managers and researchers to optimise programme spending and efficiently use resources.
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