Evidence map›Paper›PMID 39187997›Full record

ArticleThe international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease2024

An adapted scale to measure perceived TB and HIV stigma during household contact investigation.

M Armstrong-Hough, T Shelby, J Ggita, J Nangendo, A J Gupta, J L Davis, A Katamba

Abstract readValidation Study
In one paragraph

Article in The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease, 2024. 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. Adaptation and validation of perceived HIV and TB stigma scales among persons with TB.The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease · 2025
    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

7 authors.

M Armstrong-HoughDepartments of Epidemiology, and, Social & Behavioral Sciences, New York University School of Global Public Health, New York, NY, USA;, Uganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda;, Center for Interdisciplinary Research on AIDS, Yale University, New Haven, CT, USA.
T ShelbyDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA;, Yale School of Medicine, New Haven, CT, USA.
J GgitaUganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda.
J NangendoUganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda.
A J GuptaUganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda;, Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA;, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
J L DavisUganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda;, Center for Interdisciplinary Research on AIDS, Yale University, New Haven, CT, USA;, Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA;, Pulmonary, Critical Care, and Sleep Medicine Section, Yale School of Medicine, New Haven, CT, USA;, Center for Methods in Implementation and Prevention Science, Yale School of Public Health, New Haven, CT, USA.
A KatambaUganda Tuberculosis Implementation Research Consortium, Makerere University, Kampala, Uganda;, Clinical Epidemiology & Biostatistics Unit, Department of Medicine, Makerere University College of Health Sciences, Kampala, Uganda.

Funding

Interrupting HIV and TB stigma in the household during TB contact investigation in UgandaR21TW011270 · FIC · YALE UNIVERSITY · PI DAVIS, JOHN LUCIAN · 2019 to 2020
$378k
FIC NIH HHS R21 TW011270
6 · The paper itself

Abstract

<sec><title>BACKGROUND</title>Measuring stigma for TB and HIV in households undergoing contact investigation for TB is critical for understanding its impacts on health behaviours and identifying opportunities for intervention. However, standardised measurements for TB-HIV stigma in household contact investigations are limited.</sec><sec><title>METHODS</title>We adapted and validated a household stigma scale in Uganda. This involved field testing measures from another setting with 163 household contacts of newly diagnosed TB patients, conducting cognitive interviews with seven household contacts, adapting scale items using cognitive interview data, and retesting the adapted scales in a random sample of 60 contacts. We assessed inter-item covariance and performed factor analysis to select the final scale items.</sec><sec><title>RESULTS</title>In whole-scale factor analysis, no cross-loading of items with scores ≥0.32 was found after the elimination of items based on covariance and symmetry. All TB items were loaded onto a single factor with scores ≥0.5, and all but one HIV item was loaded onto a second factor with scores ≥0.5. The final subscale internal consistency (Cronbach's alpha) was 0.92 for TB and 0.89 for HIV.</sec><sec><title>CONCLUSIONS</title>The adapted TB-HIV stigma scale demonstrated acceptable psychometric properties and is substantially shorter and easier to administer than previous scales, making it suitable for programmatic research and evaluation.</sec>.

Indexed as

HIV InfectionsSocial StigmaTuberculosisAdolescentAdultContact TracingFactor Analysis, StatisticalFamily CharacteristicsFemaleHumansMaleMiddle AgedPsychometricsReproducibility of ResultsSurveys and QuestionnairesUganda

Identifiers

PMID39187997
PMCPMC12935063

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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.