Do Older Adults with HIV Have Distinctive Personal Networks? Stigma, Network Activation, and the Role of Disclosure in South Africa

HIV, Social Networks, and Loneliness among Older Adults in Uganda

Loneliness among older adults has been identified as a major public health problem. Yet little is known about loneliness, or the potential role of social networks in explaining loneliness, among older people with HIV (PWH) in sub-Saharan Africa, where 70% of PWH reside. To explore this issue, we analyzed data from 599 participants enrolled in the Quality of Life and Ageing with HIV in Rural Uganda study, including older adults with HIV in ambulatory care and a comparator group of people without HIV of similar age and gender. The 3-item UCLA Loneliness Scale was used to measure loneliness, and HIV status was the primary explanatory variable. The study found no statistically significant correlation between loneliness and HIV status. However, individuals with HIV had smaller households, less physical and financial support, and were less socially integrated compared to those without HIV. In multivariable logistic regressions, loneliness was more likely among individuals who lived alone (aOR:3.38, 95% CI:1.47-7.76) and less likely among those who were married (aOR:0.34, 95% CI:0.22-0.53) and had a higher level of social integration (aOR:0.86, 95% CI: 0.79-0.92). Despite having smaller social networks and less support, older adults with HIV had similar levels of loneliness as those without HIV, which may be attributed to resiliency and access to HIV-related health services among individuals with HIV. Nonetheless, further research is necessary to better understand the mechanisms involved.

Antiretroviral therapy and aging as resources for managing and resisting HIV-related stigma in rural South Africa

The widespread roll-out of antiretroviral therapy (ART) in Africa has contributed to a large population of adults aging with HIV. However, little is known about how HIV-related stigma interacts with aging in the ART era. This study uses in-depth interviews with middle-aged and older South Africans living with HIV to explore stigma-related experiences and response strategies. Participants describe a persistence of stigma which requires the deployment of a range of common and age-based stigma management and resistance strategies. We find that participants minimize their exposure to stigma through selective disclosure of their HIV status; neutralize HIV-related stigma through comparisons to chronic illnesses common among older adults, and deflect stigma through asserting an ART-adherent identity and othering younger non-adherent adults. Overall, our study highlights the roles of ART and aging as resources for managing and resisting HIV-related stigma.

Socioeconomic inequalities in the 90-90-90 target, among people living with HIV in 12 sub-Saharan African countries - Implications for achieving the 95-95-95 target - Analysis of population-based surveys

Background

Inequalities undermine efforts to end AIDS by 2030. We examined socioeconomic inequalities in the 90-90-90 target among people living with HIV (PLHIV) -men (MLHIV), women (WLHIV) and adolescents (ALHIV).

Methods

We analysed the available Population HIV Impact Assessment (PHIA) survey data for each of the 12 sub-Saharan African countries, collected between 2015 and 2018 to estimate the attainment of each step of the 90-90-90 target by wealth quintiles. We constructed concentration curves, computed concentration indices (CIX) -a negative (positive) CIX indicated pro-poor (pro-rich) inequalities- and identified factors associated with, and contributing to inequality.

Findings

Socioeconomic inequalities in achieving the 90-90-90 target components among PLHIV were noted in 11 of the 12 countries surveyed: not in Rwanda. Awareness of HIV positive status was pro-rich in 5/12 countries (Côte d'Ivoire, Tanzania, Uganda, Malawi, and Zambia) ranging from CIX=0·085 (p< 0·05) in Tanzania for PLHIV, to CIX = 0·378 (p<0·1) in Côte d'Ivoire for ALHIV. It was pro-poor in 5/12 countries (Côte d'Ivoire, Ethiopia, Malawi, Namibia and Eswatini), ranging from CIX = -0·076 (p<0·05) for PLHIV in Eswatini, and CIX = -0·192 (p<0·05) for WLHIV in Ethiopia. Inequalities in accessing ART were pro-rich in 5/12 countries (Cameroun, Tanzania, Uganda, Malawi and Zambia) ranging from CIX=0·101 (p<0·05) among PLHIV in Zambia to CIX=0·774 (p<0·1) among ALHIV in Cameroun and pro-poor in 4/12 countries (Tanzania, Zimbabwe, Lesotho and Eswatini), ranging from CIX = -0·072 (p<0·1) among PLHIV in Zimbabwe to CIX = -0·203 (p<0·05) among WLHIV in Tanzania. Inequalities in HIV viral load suppression were pro-rich in 3/12 countries (Ethiopia, Uganda, and Lesotho), ranging from CIX = 0·089 (p< 0·1) among PLHIV in Uganda to CIX = 0·275 (p<0·01) among WLHIV in Ethiopia. Three countries (Tanzania CIX = 0·069 (p< 0·5), Uganda CIX = 0·077 (p< 0·1), and Zambia CIX = 0·116 (p< 0·1)) reported pro-rich and three countries (Côte d'Ivoire CIX = -0·125 (p< 0·1), Namibia CIX = -0·076 (p< 0·05), and Eswatini CIX = -0·050 (p< 0·05) pro-poor inequalities for the cumulative CIX for HIV viral load suppression. The decomposition analysis showed that age, rural-urban residence, education, and wealth were associated with and contributed the most to inequalities observed in achieving the 90-90-90 target.

Interpretation

Some PLHIV in 11 of 12 countries were not receiving life-saving HIV testing, treatment, or achieving HIV viral load suppression due to socioeconomic inequalities. Socioeconomic factors were associated with and explained the inequalities observed in the 90-90-90 target among PLHIV. Governments should scale up equitable 95-95-95 target interventions, prioritizing the reduction of age, rural-urban, education and wealth-related inequalities. Research is needed to understand interventions to reduce socioeconomic inequities in achieving the 95-95-95 target.

Funding

This study was supported by the Swiss National Science Foundation (grant 202660).

Spillover benefit of pre-exposure prophylaxis for HIV prevention: evaluating the importance of effect modification using an agent-based model

We developed an agent-based model using a trial emulation approach to quantify effect measure modification of spillover effects of pre-exposure prophylaxis (PrEP) for HIV among men who have sex with men (MSM) in the Atlanta-Sandy Springs-Roswell metropolitan area, Georgia. PrEP may impact not only the individual prescribed, but also their partners and beyond, known as spillover. We simulated a two-stage randomised trial with eligible components (≥3 agents with ≥1 HIV+ agent) first randomised to intervention or control (no PrEP). Within intervention components, agents were randomised to PrEP with coverage of 70%, providing insight into a high PrEP coverage strategy. We evaluated effect modification by component-level characteristics and estimated spillover effects on HIV incidence using an extension of randomisation-based estimators. We observed an attenuation of the spillover effect when agents were in components with a higher prevalence of either drug use or bridging potential (if an agent acts as a mediator between ≥2 connected groups of agents). The estimated spillover effects were larger in magnitude among components with either higher HIV prevalence or greater density (number of existing partnerships compared to all possible partnerships). Consideration of effect modification is important when evaluating the spillover of PrEP among MSM.

Structure of social networks of people living with HIV and AIDS

OBJECTIVE

To analyze the structure of the social network of people living with HIV and AIDS.

METHOD

Exploratory and descriptive research with a qualitative approach, developed through interviews with twenty-two people living with HIV and AIDS, from November to December 2019. For analysis, the theoretical-methodological framework of social network was used.

RESULTS

The primary networks were of medium size and low density, formed by family members, relatives, friends, neighbors, and colleagues. The secondary networks were characterized by public, private, third sector institutions, workplaces, and by the informal network, which provided support according to the need for care.

CONCLUSION

The family was considered the center of the primary social network structure; however, weaknesses in these social relationships were evidenced. The family relational context of the person with HIV and AIDS was influenced by the secrecy of the diagnosis due to the fear of prejudice and discrimination for being HIV-positive. There was a predilection for the services of the secondary social network that took on the role of specific care for the disease.