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Psychometric properties of the Indonesian Healthcare Providers HIV Stigma Scale

A structural equation modeling approach

Bibliographic Data

ID4228700
AuthorsAngga Wilandika (0000-0003-4163-5152, Universitas ‘Aisyiyah Bandung, Indonesia), Fatiah Handayani (0000-0002-8227-9599, Universitas ‘Aisyiyah Bandung, Indonesia), Shahnaz Salami (0000-0003-1691-0247, Universitas ‘Aisyiyah Bandung, Indonesia), Nunik Ayu Elvira (0009-0006-2593-8793, Universitas ‘Aisyiyah Bandung, Indonesia)
Year2025
Pages13591053251344501-13591053251344501
Publication date2025-06-24
Open AccessYes
TypeARTICLE
VenueJournal of Health Psychology (JOURNAL)
Journal identifiersISSN: 1359-1053 • E-ISSN: 1461-7277
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/13591053251344501
PMID40552941
OpenAlexW4411580783
LanguageEN
References cited26

HIV-related stigma among healthcare providers hinders effective care delivery, particularly in culturally diverse settings. This study aimed to validate the Indonesian Healthcare Providers' HIV Stigma Scale using a predictive structural equation modeling (SEM) approach with Partial Least Squares (PLS). A cross-sectional survey involving 138 healthcare providers in Bandung, Indonesia, was conducted to assess the scale's psychometric properties. The finalized scale comprised 30 items across three constructs-stereotype, prejudice, and discrimination-demonstrating strong construct reliability, convergent validity, and discriminant validity. Results affirm the scale's utility for assessing stigma, providing a foundation for targeted interventions to mitigate stigma and promote equitable healthcare practices. By offering a culturally adapted measurement tool, this study contributes to improving HIV care and reducing provider-based stigma in Indonesia

Family medicine · Health care · Human immunodeficiency virus (HIV · Indonesian · Psychiatry · Psychometrics · Scale (ratio · Social stigma · Statistics · Stigma (botany · Structural equation modeling · Adolescent Sexual and Reproductive Health · HIV/AIDS Impact and Responses · HIV/AIDS Research and Interventions · Mathematics · Medicine · Psychology · Clinical Psychology

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