Evidence map›Paper›PMID 32028895›Full record

Trial reportBMC infectious diseases2020

Unpacking the dynamics of double stigma: how the HIV-TB co-epidemic alters TB stigma and its management among healthcare workers.

Edwin Wouters, Nina Sommerland, Caroline Masquillier, Asta Rau, Michelle Engelbrecht, André Janse Van Rensburg, Gladys Kigozi, Koen Ponnet, Wim Van Damme

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
0.7field-weighted citation impact, top 18% of its field
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

25 citing papers in PubMed, 41 citations in OpenAlex.

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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

9 authors at 5 institutions in 2 countries.

Edwin WoutersDepartment of Sociology and Centre for Population, Family and Health, University of Antwerp, Sint-Jacobstraat 2, BE-2000, Antwerp, Belgium. edwin.wouters@uantwerpen.be.ORCID http://orcid.org/0000-0003-2268-3829
Nina SommerlandDepartment of Sociology and Centre for Population, Family and Health, University of Antwerp, Sint-Jacobstraat 2, BE-2000, Antwerp, Belgium.
Caroline MasquillierDepartment of Sociology and Centre for Population, Family and Health, University of Antwerp, Sint-Jacobstraat 2, BE-2000, Antwerp, Belgium.
Asta RauCentre for Health Systems Research and Development, University of the Free State, Bloemfontein, Republic of South Africa.
Michelle EngelbrechtCentre for Health Systems Research and Development, University of the Free State, Bloemfontein, Republic of South Africa.
André Janse Van RensburgCentre for Rural Health, University of KwaZulu-Natal, Durban, South Africa.
Gladys KigoziCentre for Health Systems Research and Development, University of the Free State, Bloemfontein, Republic of South Africa.
Koen PonnetDepartment of Communication Sciences, Media, Innovation and Communication Technologies, Ghent University, Ghent, Belgium.
Wim Van DammeInternational Health Policy, Department of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
University of Antwerp · BEUniversity of the Free State · ZAGhent University · BEInstituut voor Tropische Geneeskunde · BEUniversity of KwaZulu-Natal · ZA

Funding

Research Foundation Flanders G035216NSpecial Research Fund University of Antwerp 32124VLIR-UOS ZEIN2015PR415
6 · The paper itself

Abstract

backgroundHIV and tuberculosis (TB) are intricably interlinked in South Africa. The social aspects of this co-epidemic remain relatively unexplored. More specifically, no research has quantitatively explored the double stigma associated with HIV and TB in this context, and more specifically the impact of the co-epidemic on [1] the stigmatisation of TB and [2] the TB stigma mangement strategy of covering (i.e. the use of TB as a cover for having HIV). The current study aims to address this research gap by disentangling the complex mechanisms related to HIV-TB stigma.

methodsUsing Structural Equation Modelling (SEM), data of 882 health care workers (HCWs) in the Free State province, South Africa, are analysed to investigate the link between the stigmatization of HIV and TB and the stigma management by those affected. The current study focuses on health care workers (HCWs), as both TB and HIV have a severe impact on this professional group.

resultsThe results demonstrate that the perceived link between the epidemics is significantly associated with double HIV-TB stigmatization. Furthermore, the link between the illnesses and the double stigma are driving the stigmatization of TB. Finally, the link between HIV and TB as well as the stigmatization of both diseases by colleagues are associated with an increased use of covering as a stigma management strategy.

conclusionsThis is the first quantitative study disentagling the mediating role of double stigma in the context of the co-epidemic as well as the impact of the co-epidemic on the social connotations of TB. The results stress the need for an integrated approach in the fight against HIV and TB recognizing the intertwined nature of the co-epidemic, not only in medical-clinical terms, but also in its social consequences.

trial registrationSouth African National Clinical Trials Register, registration ID: DOH-27-1115-5204. Prospectively registered on 26 August 2015.

Indexed as

EpidemicsHealth PersonnelSocial StigmaAdultAIDS-Related Opportunistic InfectionsCross-Sectional StudiesFemaleHumansIncidenceMaleMiddle AgedSouth AfricaSurveys and QuestionnairesTuberculosisCo-epidemicHealth care workersHIV/AIDSSouth AfricaStigma, double stigmaStructural equation modelingTuberculosis

Identifiers

PMID32028895
PMCPMC7006097
OpenAlexW3006393940

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.