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Stigma is a fundamental driver of adverse health outcomes. Although stigma is often studied at the individual level to focus on how stigma influences the mental and physical health of the stigmatized, considerable research has shown that stigma is multilevel and structural. This paper proposes a theoretical approach that synthesizes the literature on stigma with the literature on scapegoating and divide‐and‐rule as strategies that the wealthy and powerful use to maintain their power and wealth; the literatures on racial, gender, and other subordination; the literature on ideology and organization in sociopolitical systems; and the literature on resistance and rebellion against stigma, oppression and other forms of subordination. we develop a model of the "stigma system" as a dialectic of interacting and conflicting structures and processes. Understanding this system can help public health reorient stigma interventions to address the sources of stigma as well as the individual problems that stigma creates. On a broader level, this model can help those opposing stigma and its effects to develop alliances and strategies with which to oppose stigma and the processes that create it. [ABSTRACT FROM AUTHOR]

HIV/AIDS‐related (HAR) stigma is still a prevalent problem in Sub‐Saharan Africa, and has been found to be related to mental health of HIV‐positive individuals. However, no studies in the Sub‐Saharan African context have yet examined the relationship between HAR stigma and mental health among HIV‐negative, HIV‐affected adults and families; nor have any studies in this context yet examined stigma as an ecological construct predicting mental health outcomes through supra‐individual (setting level) and individual levels of influence. Multilevel modeling was used to examine multilevel, ecological relationships between HAR stigma and mental health among child and caregiver pairs from a systematic, community‐representative sample of 508 HIV‐affected households nested within 24 communities in KwaZulu‐Natal, South Africa. Two distinct dimensions of HAR stigma were measured: individual stigmatizing attitudes, and perceptions of community normative stigma. Findings suggest that individual‐level HAR stigma significantly predicts individual mental health (depression and anxiety) among HIV‐affected adults; and that community‐level HAR stigma significantly predicts both individual‐level mental health outcomes (anxiety) among HIV‐affected adults, and mental health outcomes (PTSD and externalizing behavior scores) among HIV‐affected children. Differentiated patterns of relationships were found using the two different stigma measures. These findings of unique relationships identified when utilizing two conceptually distinct stigma measures, at two levels of analysis (individual and community) suggest that HAR stigma in this context should be conceptualized as a multilevel, multidimensional construct. These findings have important implications both for mental health interventions and for interventions to reduce HAR stigma in this context. Highlights: First to test if HIV‐related stigma predicts mental health among HIV‐affected (HIV‐) adults/childrenFirst to test whether supra‐individual (setting‐level) stigma predicts mental health in South AfricaFinds that community‐level HIV‐related stigma predicts individual‐level mental health outcomesFinds different pattern relationships using two measures capturing distinct dimensions of HIV stigmaFindings suggest HIV stigma should be conceptualized as a multilevel, multidimensional construct. [ABSTRACT FROM AUTHOR]

INTRODUCTION: Providing HIV healthcare and Treatment as Prevention both depend on diagnosing HIV cases, preferably soon after initial infection. We hypothesized that tracing risk networks recruits higher proportions of undiagnosed positives than outreach-based testing or respondent-driven sampling (RDS) in Odessa, Ukraine. METHODS: The Transmission Reduction Intervention Project (TRIP) used risk network tracing to recruit sexual and injection networks of recently-infected and longer-term infected (LTs) seeds (2013 to 2016). Integrated Biobehavioural Surveillance (IBBS) (2013) used RDS to recruit people who inject drugs (PWID). Outreach Testing tested PWID for HIV at community outreach sites (2013 to 2016). Proportions of undiagnosed positives among those tested were compared TRIP versus IBBS; TRIP versus Outreach Testing and between TRIP arms. Costs were compared across the projects. RESULTS: TRIP tested 1252 people (21% women) in seeds' risk networks; IBBS tested 400 (18% women); Outreach Testing 13,936 (31% women). TRIP networks included a higher proportion of undiagnosed positives (14.6%) than IBBS (5.0%) or Outreach Testing (2.4%); odds ratio (OR) 3.25 (95% CI 2.07, 5.12) versus IBBS and 7.03 (CI 5.95, 8.31) versus Outreach Testing respectively. Findings remained significant in analyses stratified by sex and when PWID in TRIP networks were compared with Outreach Testing and IBBS. Within TRIP, recently-infected participants' networks contained higher proportions of undiagnosed positives (16.3%) than LTs' networks (12.2%); OR 1.41 (CI 1.01, 1.95). TRIP located undiagnosed positives less expensively than did RDS or Outreach Testing. CONCLUSIONS: TRIP's recruiting techniques, including prioritizing networks of the recently infected, find undiagnosed HIV-positive people efficiently. They should be integrated with standard practice to improve case-finding. Research should test these techniques in other socio-epidemiologic contexts. [ABSTRACT FROM AUTHOR]

HIV-positive individuals often face community-wide discrimination or public shame and humiliation as a result of their HIV-status. In Sub-Saharan Africa, high HIV incidence coupled with unique cultural contexts make HIV-positive individuals particularly likely to experience this kind of HIV/AIDS-related (HAR) stigma. To date, there is a relatively small amount of high-quality empirical literature specific to HAR stigma in this context, supporting the notion that a better understanding of this phenomenon is needed to inform potential interventions. This paper provides a thorough review of the literature specific to HAR stigma in Sub-Saharan Africa, finding (a) qualitative support for the existence of important relationships between HAR stigma and health service utilization and barriers; (b) a need for more quantitative study of stigma and its relationships both to health service utilization and to HIV outcomes directly; and (c) a disconnect between methodological techniques used in this context-specific literature and well-known theories about stigma as a general phenomenon. This paper then draws from its empirical literature review, as well as from well-known theoretical frameworks from multiple disciplines, to propose a theoretical framework for the ecological and multilevel relationships among HAR stigma, health service utilization, and HIV outcomes in this context. [ABSTRACT FROM AUTHOR]

Introduction: This paper examines the extent to which an intervention succeeded in locating people who had recently become infected with HIV in the context of the large‐scale Ukrainian epidemic. Locating and intervening with people who recently became infected with HIV (people with recent infection, or PwRI) can reduce forward HIV transmission and help PwRI remain healthy. Methods: The Transmission Reduction Intervention Project (TRIP) recruited recently‐infected and longer‐term infected seeds in Odessa, Ukraine, in 2013 to 2016, and asked them to help recruit their extended risk network members. The proportions of network members who were PwRI were compared between TRIP arms (i.e. networks of recently‐infected seeds vs. networks of longer‐term infected seeds) and to the proportion of participants who were PwRI in an RDS‐based Integrated Biobehavioral Surveillance of people who inject drugs in 2013. Results: The networks of PwRI seeds and those of longer‐term infected seeds had similar (2%) proportions who were themselves PwRI. This was higher than the 0.25% proportion in IBBS (OR = 7.80; p = 0.016). The odds ratio among the subset of participants who injected drugs was 11.17 (p = 0.003). Cost comparison analyses using simplified ingredients‐based methods found that TRIP spent no more than US $4513 per PwRI located whereas IBBS spent $11,924. Conclusions: Further research is needed to confirm these results and improve TRIP further, but our findings suggest that interventions that trace the networks of people who test HIV‐positive are a cost‐effective way to locate PwRI and reduce HIV transmission and should therefore be implemented. [ABSTRACT FROM AUTHOR]