Evidence map›Paper›PMID 33989317›Full record

ArticlePloS one2021

Strengthening health systems to improve the value of tuberculosis diagnostics in South Africa: A cost and cost-effectiveness analysis.

Nicola Foster, Lucy Cunnama, Kerrigan McCarthy, Lebogang Ramma, Mariana Siapka, Edina Sinanovic, Gavin Churchyard, Katherine Fielding, Alison D Grant, Susan Cleary

Abstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Nicola FosterHealth Economics Unit, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.ORCID 0000-0003-4630-6243
Lucy CunnamaHealth Economics Unit, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.ORCID 0000-0003-2134-4905
Kerrigan McCarthyDivision of Public Health, Surveillance and Response, National Institute for Communicable Disease of the National Health Laboratory Service, Johannesburg, South Africa.ORCID 0000-0001-8958-9795
Lebogang RammaDepartment of Health and Rehabilitation Sciences, University of Cape Town, Cape Town, South Africa.
Mariana SiapkaTB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Edina SinanovicHealth Economics Unit, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.
Gavin ChurchyardSchool of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Katherine FieldingTB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Alison D GrantTB Centre, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Susan ClearyHealth Economics Unit, School of Public Health and Family Medicine, University of Cape Town, Cape Town, South Africa.

Funding

Aurum Clinical Trials UnitUM1AI154463 · NIAID · AURUM INSTITUTE NPC · PI Gavin John Churchyard · 2021 to 2026
$8.1M
NIAID NIH HHS UM1 AI154463
6 · The paper itself

Abstract

backgroundIn South Africa, replacing smear microscopy with Xpert-MTB/RIF (Xpert) for tuberculosis diagnosis did not reduce mortality and was cost-neutral. The unchanged mortality has been attributed to suboptimal Xpert implementation. We developed a mathematical model to explore how complementary investments may improve cost-effectiveness of the tuberculosis diagnostic algorithm.

methodsComplementary investments in the tuberculosis diagnostic pathway were compared to the status quo. Investment scenarios following an initial Xpert test included actions to reduce pre-treatment loss-to-follow-up; supporting same-day clinical diagnosis of tuberculosis after a negative result; and improving access to further tuberculosis diagnostic tests following a negative result. We estimated costs, deaths and disability-adjusted-life-years (DALYs) averted from provider and societal perspectives. Sensitivity analyses explored the mediating influence of behavioural, disease- and organisational characteristics on investment effectiveness.

findingsAmong a cohort of symptomatic patients tested for tuberculosis, with an estimated active tuberculosis prevalence of 13%, reducing pre-treatment loss-to-follow-up from ~20% to ~0% led to a 4% (uncertainty interval [UI] 3; 4%) reduction in mortality compared to the Xpert scenario. Improving access to further tuberculosis diagnostic tests from ~4% to 90% among those with an initial negative Xpert result reduced overall mortality by 28% (UI 27; 28) at $39.70/ DALY averted. Effectiveness of investment scenarios to improve access to further diagnostic tests was dependent on a high return rate for follow-up visits.

interpretationInvesting in direct and indirect costs to support the TB diagnostic pathway is potentially highly cost-effective.

Indexed as

Cost-Benefit AnalysisDiagnostic Tests, RoutineHumansMycobacterium tuberculosisQuality-Adjusted Life YearsSouth AfricaTuberculosis

Identifiers

PMID33989317
PMCPMC8121360

What OpenQuestion holds

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Registered trials

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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.