Evidence map›Paper›PMID 41181284›Full record

ArticleActa medica Philippina2025

Measuring Hepatitis B-related Stigma: A Systematic Review of Questionnaire-based Studies.

Jaconiah Shelumiel T Manalaysay, Diego Nathaniel D Mina, Brian Arth M Urbano, Cathlyn B Geraldo, Josephine D Agapito, Janus P Ong, Joana Ophelia M Real, Hilton Y Lam

Abstract read
In one paragraph

Article in Acta medica Philippina, 2025. 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. Review
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

8 authors.

Jaconiah Shelumiel T ManalaysayDepartment of Sociology and Behavioral Sciences, College of Liberal Arts, De La Salle University Manila.
Diego Nathaniel D MinaInstitute of Health Policy and Development Studies, National Institutes of Health, University of the Philippines Manila.
Brian Arth M UrbanoInstitute of Health Policy and Development Studies, National Institutes of Health, University of the Philippines Manila.
Cathlyn B GeraldoInstitute of Health Policy and Development Studies, National Institutes of Health, University of the Philippines Manila.
Josephine D AgapitoInstitute of Health Policy and Development Studies, National Institutes of Health, University of the Philippines Manila.
Janus P OngInstitute of Health Policy and Development Studies, National Institutes of Health, University of the Philippines Manila.
Joana Ophelia M RealInstitute of Health Policy and Development Studies, National Institutes of Health, University of the Philippines Manila.
Hilton Y LamInstitute of Health Policy and Development Studies, National Institutes of Health, University of the Philippines Manila.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Stigma remains a profound barrier to public health, particularly in managing diseases such as Hepatitis B, which is highly prevalent in hyperendemic regions like the Philippines. The social stigma associated with such health conditions can severely limit access to care and hinder adherence to treatment, exacerbating the overall disease burden. Despite the critical impact of stigma on health outcomes, there is a notable gap in the systematic evaluation of the tools used to measure stigma related to health conditions like Hepatitis B. This study aims to fill this gap by reviewing existing instruments for their methodologies, reliability, and validity to inform the development of a refined tool tailored to the Philippine context. Methods: A systematic search was conducted across six databases, including PubMed, Cochrane Database of Systematic Reviews, Open Grey, DissOnline, Philippine Health Research Registry (PHRR), and Health Research and Development Information Network (HERDIN), following PRISMA guidelines. The search strategy focused on identifying quantitative and mixed-methods studies using questionnaires to measure HBV-related stigma and discrimination. Studies published between January 1, 1992, and December 31, 2023, were considered. The selection process involved screening for duplicates, reviewing titles and abstracts, and performing a full-text review based on predetermined eligibility criteria. Results: The initial search yielded 1,198 articles, with 24 duplicates removed. After title and abstract screening, 28 articles were considered for full-text review, resulting in 17 relevant articles in the final analysis with 15 unique instrumentations. The majority of studies employed cross-sectional designs (n=8), with a significant concentration in Asian countries (n=11), indicating a regional focus in HBV stigma research. The review identified a range of questionnaire methodologies, but most studies lacked specificity regarding the type of stigma measured. The Likert Scale was the most commonly used measurement tool, yet few studies provided cut-off values for stigma levels. Validity and reliability testing was reported in 12 articles, including pilot studies, Cronbach's alpha, and factor analysis. Conclusion: The lack of a universal methodology and specificity in existing instruments underscores the importance of developing a refined tool that can accurately capture the nuances of stigma and discrimination associated with HBV. The urgent need for standardized, reliable, and culturally sensitive questionnaires is evident, underscoring their importance in developing effective public health strategies and improving treatment outcomes for individuals living with HBV, especially in the Philippines.

Indexed as

chronic Hepatitis Bsocial stigmasstate-of-the-art review

Identifiers

PMID41181284
PMCPMC12572882

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.