Evidence map›Paper›PMID 31382959›Full record

ArticleBMC medicine2019

Informing decision-making for universal access to quality tuberculosis diagnosis in India: an economic-epidemiological model.

Hojoon Sohn, Parastu Kasaie, Emily Kendall, Gabriela B Gomez, Anna Vassall, Madhukar Pai, David Dowdy

Abstract read
In one paragraph

Article in BMC medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Article
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  7. Review
  8. A Generalizable Decision-Making Framework for Selecting Onsite versus Send-out Clinical Laboratory Testing.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Article
  9. Article
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  12. Determining the value of TB active case-finding: current evidence and methodological considerations.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2021
    Article
  13. Costs along the TB diagnostic pathway in Uganda.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Hojoon SohnDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., E6529, Baltimore, MD, 21205, USA. hsohn6@jhu.edu.ORCID http://orcid.org/0000-0001-5837-3844
Parastu KasaieDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., E6529, Baltimore, MD, 21205, USA.
Emily KendallDivision of Infectious Disease, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.
Gabriela B GomezDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
Anna VassallDepartment of Global Health and Development, London School of Hygiene and Tropical Medicine, London, WC1E 7HT, UK.
Madhukar PaiDepartment of Epidemiology & Biostatistics & McGill International TB Centre, McGill University, Montreal, QC, H3A 1A2, Canada.
David DowdyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe St., E6529, Baltimore, MD, 21205, USA.

Funding

Translational modeling of individual- and population-level outcomes of novel tuberculosis drug regimensK08AI127908 · NIAID · JOHNS HOPKINS UNIVERSITY · PI KENDALL, EMILY A · 2017 to 2021
$879k
Projecting the Epidemiologic and Economic Impact of HIV Prevention Efforts in the Context of Other Sexually Transmitted InfectionsK01AI138853 · NIAID · JOHNS HOPKINS UNIVERSITY · PI KASAIE, PARASTU · 2019 to 2023
$591k
NIAID NIH HHS K01 AI138853NIAID NIH HHS K08 AI127908
6 · The paper itself

Abstract

backgroundIndia and many other high-burden countries have committed to providing universal access to high-quality diagnosis and drug susceptibility testing (DST) for tuberculosis (TB), but the most cost-effective approach to achieve this goal remains uncertain. Centralized testing at district-level hub facilities with a supporting sample transport network can generate economies of scale, but decentralization to the peripheral level may provide faster diagnosis and reduce losses to follow-up (LTFU).

methodsWe generated functions to evaluate the costs of centralized and decentralized molecular testing for tuberculosis with Xpert MTB/RIF (Xpert), a WHO-endorsed test which can be performed at centralized and decentralized levels. We merged the cost estimates with an agent-based simulation of TB transmission in a hypothetical representative region in India to assess the impact and cost-effectiveness of each strategy.

resultsCompared against centralized Xpert testing, decentralization was most favorable when testing volume at decentralized facilities and pre-treatment LTFU were high, and specimen transport network was exclusively established for TB. Assuming equal quality of centralized and decentralized testing, decentralization was cost-saving, saving a median $338,000 (interquartile simulation range [IQR] - $222,000; $889,000) per 20 million people over 10 years, in the most cost-favorable scenario. In the most cost-unfavorable scenario, decentralized testing would cost a median $3161 [IQR $2412; $4731] per disability-adjusted life year averted relative to centralized testing.

conclusionsDecentralization of Xpert testing is likely to be cost-saving or cost-effective in most settings to which these simulation results might generalize. More decentralized testing is more cost-effective in settings with moderate-to-high peripheral testing volumes, high existing clinical LTFU, inability to share specimen transport costs with other disease entities, and ability to ensure high-quality peripheral Xpert testing. Decision-makers should assess these factors when deciding whether to decentralize molecular testing for tuberculosis.

Indexed as

Cost-Benefit AnalysisHealth Services AccessibilityHumansIndiaModels, EconomicMycobacterium tuberculosisNucleic Acid Amplification TechniquesPoint-of-Care TestingTuberculosisCost-benefit analysisDiagnostic techniques and proceduresSystems analysisTuberculosis

Identifiers

PMID31382959
PMCPMC6683370

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.