Evidence map›Paper›PMID 42180484›Full record

ArticleFrontiers in public health2026

Assessing tuberculosis stigma: a pooled multi-country descriptive analysis of 17 high-burden countries using a standardised tool.

Wai Man Peter Mok, James Malar, Viorel Soltan, Caoimhe Smyth, Kinz Ul Eman, Aris Subakti, Rhea Lobo, Tanaka Mukuhwa, Donald Tobaiwa, Maxime Lunga and 4 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

14 authors.

Wai Man Peter MokStopTB Partnership, Le Grand-Saconnex, Switzerland.
James MalarStopTB Partnership, Le Grand-Saconnex, Switzerland.
Viorel SoltanStopTB Partnership, Le Grand-Saconnex, Switzerland.
Caoimhe SmythStopTB Partnership, Le Grand-Saconnex, Switzerland.
Kinz Ul EmanDopasi Foundation, Islamabad, Pakistan.
Aris SubaktiPenabulu Foundation, Jakarta, Indonesia.
Rhea LoboTBpeople, Mumbai, India.
Tanaka MukuhwaZvandiri, Mutare, Zimbabwe.
Donald TobaiwaJointed Hands, Harare, Zimbabwe.
Maxime LungaClub des Amis Damien, Kinshasa, Democratic Republic of Congo.
Vladyslav Denysenko100% Life, Kyiv, Ukraine.
Bertille KayowaClub des Amis Damien, Kinshasa, Democratic Republic of Congo.
Deliana GarciaGlobal TB Caucus, Austin, TX, United States.
Choub Sok ChamreunKHANA, Phnom Penh, Cambodia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tuberculosis (TB) stigma continues to impede equitable access to prevention, diagnosis, treatment, and care, undermining efforts to end the epidemic. Despite commitments to eliminate TB stigma in the 2023 United Nations Political Declaration on TB, implementation of evidence-based stigma reduction interventions remains constrained by limited systematic and comparable data. This community-led paper describes findings from 17 national TB stigma assessments conducted using validated stigma measurement scales and guided by the World Health Organization social-ecological model to generate cross-country evidence for action. Across the 17 countries-representing 38% of the estimated global TB burden in 2024-a total of 26,040 individuals participated in the quantitative components. Participants included people with TB (56%,

Indexed as

Global HealthSocial StigmaTuberculosisAdultFemaleHealth Services AccessibilityHumansMiddle Agedcommunity-ledGlobal Fundself stigmastigmastigma in health carestigma measurementStop TB Partnershiptuberculosis

Identifiers

PMID42180484
PMCPMC13192366

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.