ArticleJournal of interpersonal violence2023
Development and Psychometric Evaluation of the IPV Internalized Stigma Scale.
Article in Journal of interpersonal violence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
Who cites it
1 citing paper in PubMed.
- A brief educational intervention to improve health service responsiveness to intimate partner violence: a mixed methods evaluation.BMC health services research · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Self-stigma is the internalization of widespread and negative attitudes around a devalued attribute. Being a victim of intimate partner violence (IPV) is a stigmatized identity, with IPV self-stigma is a potential barrier to help seeking. The lack of an IPV self-stigma scale limits current measurement of this latent trait; this study sought to fill this gap. We developed the IPV Internalized Self-stigma Scale (IPVIS) by revising existing self-stigma and devaluation/discrimination measures and adding new items to fill perceived gaps. Using an online survey, a diverse sample (
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Registered trials
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.