Evaluating layered stigma from comorbid HIV and epilepsy among Zambian adults

HIV-Related Intersectional Stigma and Discrimination Measurement: State of the Science

Background. Across settings, individuals from populations that are multiply stigmatized are at increased risk of HIV and experience worse HIV treatment outcomes. As evidence expands on how intersecting stigmatized identities and conditions influence HIV outcomes, researchers have used diverse quantitative approaches to measure HIV-related intersectional stigma and discrimination. To date, no clear consensus exists regarding how to best quantitatively measure and analyze intersectional stigma and discrimination. Objectives. To review and document existing quantitative measures of HIV-related intersectional stigma and discrimination to inform research, programmatic, and policy efforts. Search Methods. We searched 5 electronic databases for relevant studies. References of included articles were screened for possible inclusion. Additional articles were screened on the basis of consultations with experts in the field. Selection Criteria. We included peer-reviewed studies published between January 1, 2010, and May 12, 2021, that were HIV related and presented 1 or more quantitative measures of stigma and discrimination using an intersectional lens in measure design or analysis. Data Collection and Analysis. Systematic methods were used to screen citations and abstract data via a standardized coding form. Data were analyzed by coding categories stratified according to 2 subgroups: (1) studies incorporating a single intersectional measure and (2) studies that examined intersectional stigma through analytical approaches combining multiple measures. Main Results. Sixteen articles met the inclusion criteria, 7 of which explicitly referenced intersectionality. Ten studies were from the United States. All of the studies included participants living with HIV. Among the 4 studies incorporating a single intersectional stigma measure, 3 explored race and gender stigma and 1 explored gender and HIV stigma. Studies involving analytic approaches (n = 12) mostly examined intersectional stigma via interaction terms in multivariate regression models. Three studies employed structural equation modeling to examine interactive effects or latent constructs of intersectional stigma. Conclusions. Research on the measurement of HIV-related intersectional stigma and discrimination is currently concentrated in high-income settings and generally focuses on the intersection of 2 identities (e.g., race and gender). Efforts are needed to expand appropriate application of intersectionality in the development, adaptation, and use of measures of HIV-related intersectional stigma and discrimination. The use of context-, identity-, or condition-adaptable measures should be considered. Researchers should also carefully consider how to meaningfully engage communities in the process of measurement development. Public Health Implications. The measures and analytic approaches presented could significantly enhance public health efforts in assessing the impact of HIV-related intersectional stigma and discrimination on critical health outcomes. (Am J Public Health. 2022;112(S4):S420-S432. https://doi.org/10.2105/AJPH.2021.306639).

"It Stays Between Us": Managing Comorbidities and Public/Private Dichotomies in HPTN071 (POPART) Trial Communities

In contexts of scarcity, managing comorbidities is a complex process, shaped by divergent understandings of causes, prognoses, and social meanings of illness. Drawing on research with one young South African woman living with HIV and epilepsy, and 13 other people with comorbidities, we describe how concepts of "public" and "private" shape the management of co-morbid conditions. Despite narratives of HIV "normalization," participants labored to keep their HIV status private, while sharing other illness experiences more publicly. We challenge simple dichotomies between public and private spheres and emphasize the need for more fluid understandings of how people negotiate social space.

Challenges and opportunities in examining and addressing intersectional stigma and health

BACKGROUND

'Intersectional stigma' is a concept that has emerged to characterize the convergence of multiple stigmatized identities within a person or group, and to address their joint effects on health and wellbeing. While enquiry into the intersections of race, class, and gender serves as the historical and theoretical basis for intersectional stigma, there is little consensus on how best to characterize and analyze intersectional stigma, or on how to design interventions to address this complex phenomenon. The purpose of this paper is to highlight existing intersectional stigma literature, identify gaps in our methods for studying and addressing intersectional stigma, provide examples illustrating promising analytical approaches, and elucidate priorities for future health research.

DISCUSSION

Evidence from the existing scientific literature, as well as the examples presented here, suggest that people in diverse settings experience intersecting forms of stigma that influence their mental and physical health and corresponding health behaviors. As different stigmas are often correlated and interrelated, the health impact of intersectional stigma is complex, generating a broad range of vulnerabilities and risks. Qualitative, quantitative, and mixed methods approaches are required to reduce the significant knowledge gaps that remain in our understanding of intersectional stigma, shared identity, and their effects on health.

CONCLUSIONS

Stigmatized identities, while often analyzed in isolation, do not exist in a vacuum. Intersecting forms of stigma are a common reality, yet they remain poorly understood. The development of instruments and methods to better characterize the mechanisms and effects of intersectional stigma in relation to various health conditions around the globe is vital. Only then will healthcare providers, public health officials, and advocates be able to design health interventions that capitalize on the positive aspects of shared identity, while reducing the burden of stigma.

A scoping review of health-related stigma outcomes for high-burden diseases in low- and middle-income countries

BACKGROUND

Stigma is associated with health conditions that drive disease burden in low- and middle-income countries (LMICs), including HIV, tuberculosis, mental health problems, epilepsy, and substance use disorders. However, the literature discussing the relationship between stigma and health outcomes is largely fragmented within disease-specific siloes, thus limiting the identification of common moderators or mechanisms through which stigma potentiates adverse health outcomes as well as the development of broadly relevant stigma mitigation interventions.

METHODS

We conducted a scoping review to provide a critical overview of the breadth of research on stigma for each of the five aforementioned conditions in LMICs, including their methodological strengths and limitations.

RESULTS

Across the range of diseases and disorders studied, stigma is associated with poor health outcomes, including help- and treatment-seeking behaviors. Common methodological limitations include a lack of prospective studies, non-representative samples resulting in limited generalizability, and a dearth of data on mediators and moderators of the relationship between stigma and health outcomes.

CONCLUSIONS

Implementing effective stigma mitigation interventions at scale necessitates transdisciplinary longitudinal studies that examine how stigma potentiates the risk for adverse outcomes for high-burden health conditions in community-based samples in LMICs.

Fuzzy Modeling of the Enactment of Stigma by Healthcare Personnel Toward People Living with HIV in the Frame of Counterfactual Thinking: A Mixed-Method Approach

Existing research on HIV stigma has not thoroughly studied the healthcare providers' (HCP) judgment toward people living with HIV (PLHIV). The goal of this article is to conceptualize formation of stigma within attitudes of HCP through their judgmental process by using the Fairness Theory. The study is also aimed to develop a model for cognitive patterns of HCPs' stigmatizing judgments toward PLHIV by applying fuzzy logic. We applied a mixed method in two phases, including qualitative method and fuzzy analytical modeling. A sample of 17 physicians and 9 nurses from 6 hospitals in Tehran were recruited and saturation was achieved after 21 in-depth interviews. Then, the answers of six HCPs were selected for defining the fuzzy sets and membership functions' curve. Six patterns of HCPs' judgments emerged that were used for the fuzzy analysis. These patterns are outcomes of assessment on various aspects of fairness of stigmatization that is impacted by HCPs' counterfactual prototypes. Moral codes, hospital and medical rules, and also constraints imposed from the workplace environment are the references of counterfactual prototypes that affected the HCPs' judgment. Health policy makers can design more effective HIV stigma reduction interventions based on the six patterns of HCPs' judgment.