Evidence map›Paper›PMID 42807909›Full record

ArticleInternational journal of transgender health2026

Lahari A Telang, Hezreen Shaik Daud, Aoife G Cotter, Abdul Rashid

Abstract read
In one paragraph

Article in International journal of transgender health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Lahari A TelangRCSI-UCD Campus Malaysia (RUMC), Penang, Malaysia.ORCID https://orcid.org/0000-0001-6380-9470
Hezreen Shaik DaudVolunteer Penang Family Health Development Association, Malaysia, Individual with Lived Experience, Penang, Malaysia.
Aoife G CotterSchool of Medicine, University College Dublin, Dublin, Ireland.ORCID https://orcid.org/0000-0001-7712-3533
Abdul RashidRCSI-UCD Campus Malaysia (RUMC), Penang, Malaysia.ORCID https://orcid.org/0000-0003-1520-8480

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Transgender women in Malaysia face marginalization and experience barriers to accessing healthcare. Formative research conducted by the research team has identified low utilization of dental services, alongside gaps in knowledge and a perceived low risk of STI transmission through oral sexual practices. Tailored educational interventions that address the specific needs of transgender women in Malaysia are essential for bridging these gaps. Methods: A focus group discussion (FGD) was conducted with patient and public involvement and engagement (PPIE) advisors, and the use of a social media-based mHealth educational intervention to create awareness was discussed. The ADDIE (Analyze, Design, Develop, Implement, and Evaluate) instructional design was employed alongside the transgender community involvement in designing and developing the "Ms. Radiance" intervention. PPIE was crucial for presenting the educational material as artistic bilingual posts, stories, and reels that were peer-reviewed and culturally sensitive. The feasibility and acceptability of the intervention were assessed among transgender women ( Results: The themes derived from the FGD were Conclusion: A first-of-its-kind intervention for transgender women in Malaysia was designed and developed with PPIE and pilot-tested. The pilot's feedback will help improve the intervention for a scaled-up version of the study.

Indexed as

ADDIE instructional designdental services utilizationmHealthoral transmission of STIspatient and participant involvement and engagement (PPIE)transgender women

Identifiers

PMID42807909
PMCPMC13618165

What OpenQuestion holds

Textmetadata
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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.