Evidence map›Paper›PMID 38441698›Full record

SynthesisAIDS and behavior2024

Measurement Instruments Assessing Multi-Faceted Stigma Regarding Sexual and Gender Minorities: A Systematic Review of Psychometric Properties.

Abhishek Aggarwal, Shan Qiao, Shannon D O'Leary, Katrina N Schlekat, Xiaoming Li

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in AIDS and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

5 authors.

Abhishek AggarwalDepartment of Health Promotion, Education and Behavior, University of South Carolina, Columbia, USA.ORCID http://orcid.org/0000-0002-9808-8084
Shan QiaoDepartment of Health Promotion, Education and Behavior, University of South Carolina, Columbia, USA. shanqiao@mailbox.sc.edu.ORCID http://orcid.org/0000-0003-1834-1834
Shannon D O'LearyCollege of Arts and Sciences, University of South Carolina, Columbia, USA.
Katrina N SchlekatArnold School of Public Health, University of South Carolina Honors College, Columbia, USA.
Xiaoming LiDepartment of Health Promotion, Education and Behavior, University of South Carolina, Columbia, USA.

Funding

Utilizing All of Us data to examine the impact of COVID-19 on mental health among people living with HIVR01MH127961 · NIMH · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI Xiaoming Li · 2022 to 2026
$2.5M
Intersecting stigma against MSM in clinical settings in ZambiaR21TW011064 · FIC · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI HARPER, GARY W, QIAO, SHAN · 2019 to 2020
$361k
NIH HHS R01MH127961NIH HHS R21TW011064
6 · The paper itself

Abstract

Stigma against sexual and gender minorities (SGM) populations has serious negative health effects for SGM populations. Despite the growing need for accurate stigma measurement in SGM, there are insufficient valid measurement instruments. Moreover, the lack of consistency in construct usage makes comparisons across studies particularly challenging. A critical review and comparative evaluation of the psychometric properties of the various stigma measures for SGM is necessary to advance our understanding regarding stigma measurement against/among SGMs. Based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, a comprehensive search was conducted in 4 bibliographic databases (MEDLINE, PsycINFO, CINAHL, and Web of Science) for empirical articles published from 2010 to 2022 that evaluated the psychometrics properties of measurement instruments assessing stigma against SGMs. The screening, extraction, and scoring of the psychometric properties and methodological quality of selected instruments were performed by following the established standards and COSMIN (Consensus-based Standards for the selection of health Measurement Instruments) checklist, respectively. Of the 2031 studies identified, 19 studies were included that reported psychometric properties of 17 measurement instruments. All instruments, except two, were developed for SGMs (n = 15/17). Most instruments included men who have sex with men (MSM) or gay men (n = 11/15), whereas less than half of the instruments assessed stigma among SGM women (n = 6/15). Internal consistency (Cronbach's alpha) and content validity was reported for all instruments (n = 17); construct and structural validity was also reported for majority of the instruments (n = 15 and 10, respectively). However, test-retest reliability and criterion validity was reported for very few instruments (n = 5 each). Based on the COSMIN checklist, we identified the most psychometrically and methodologically robust instruments for each of the five stigma types: combined stigma, enacted stigma, internalized stigma, intersectional stigma, and perceived stigma. For each stigma type, except anticipated stigma, at least one instrument demonstrated strong promise for use in empirical research; however, the selection of instrument depends on the target population and context of the study. Findings indicated a growing use of instruments assessing multiple stigma types. Future studies need to develop intersectional stigma instruments that account for the multiple and intersecting social identities of SGMs. Additionally, most existing instruments would benefit from further psychometric testing, especially on test-retest reliability, criterion validity, adaptability to different LGBTQIA + populations and cultures.

Indexed as

PsychometricsSexual and Gender MinoritiesSocial StigmaFemaleHumansMaleReproducibility of ResultsSurveys and QuestionnairesMeasurement instrumentsPsychometric propertiesSexual and gender minorities (SGM)Stigma

Identifiers

PMID38441698

What OpenQuestion holds

Textmetadata
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.