An association between neighbourhood wealth inequality and HIV prevalence in sub-Saharan Africa

The effects of cash transfer programmes on HIV-related outcomes in 42 countries from 1996 to 2019

Many countries have introduced cash transfer programmes as part of their poverty reduction and social protection strategies. These programmes have the potential to overcome drivers of HIV risk behaviours and usage of HIV services, but their overall effects on HIV-related outcomes remain unknown. Here we evaluate the effects of cash transfer programmes covering >5% of the impoverished population on country- and individual-level HIV-related outcomes in 42 countries with generalized epidemics. Cash transfer programmes were associated with a lower probability of sexually transmitted infections among females (odds ratio, 0.67; 95% confidence interval (CI), 0.50-0.91; P = 0.01), a higher probability of recent HIV testing among females (odds ratio, 2.61; 95% CI, 1.15-5.88; P = 0.02) and among males (odds ratio, 3.19; 95% CI, 2.45-4.15; P < 0.001), a reduction in new HIV infections (incidence rate ratio, 0.94; 95% CI, 0.89-0.99; P = 0.03) and delayed improvements in antiretroviral coverage (3%; 95% CI, 0.3-5.7 at year 2; P = 0.03) and AIDS-related deaths (incidence rate ratio, 0.91; 95% CI, 0.83-0.99 at year 2; P = 0.03). Anti-poverty programmes can play a greater role in achieving global targets for HIV prevention and treatment.

Exploring Sustainability in the Era of Differentiated HIV Service Delivery in Sub-Saharan Africa: A Systematic Review

INTRODUCTION

The World Health Organization recommends differentiated service delivery (DSD) to support resource-limited health systems in providing patient-centered HIV care. DSD offers alternative care models to clinic-based care for people living with HIV who are stable on antiretroviral therapy (ART). Despite good patient-related outcomes, there is limited evidence of their sustainability. Our review evaluated the reporting of sustainability indicators of DSD interventions conducted in sub-Saharan Africa (SSA).

METHODS

We searched PubMed and EMBASE for studies conducted between 2000 and 2019 assessing DSD interventions targeting HIV-positive individuals who are established in ART in sub-Saharan Africa. We evaluated them through a comprehensive sustainability framework of constructs categorized into 6 domains (intervention design, process, external environment, resources, organizational setting, and people involvement). We scored each construct 1, 2, or 3 for no, partial, or sufficient level of evidence, respectively. Interventions with a calculated sustainability score (overall and domain-specific) of >90% or domain-specific median score >2.7 were considered likely to be sustainable.

RESULTS

Overall scores ranged from 69% to 98%. Top scoring intervention types included adherence clubs (98%) and community ART groups (95%) which comprised more than half of interventions. The highest scoring domains were design (2.9) and organizational setting (2.8). The domains of resources (2.4) and people involvement (2.3) scored lowest revealing potential areas for improvement to support DSD sustainability.

CONCLUSIONS

With the right investment in stakeholder involvement and domestic funding, DSD models generally show potential for sustainability. Our results could guide informed decisions on which DSD intervention is likely to be sustainable per setting and highlight areas that could motivate further research.

Determinants of risky sexual behaviours among adolescents in Central African Republic, Eswatini and Ghana: evidence from multi-indicator cluster surveys

Despite the declining HIV/AIDS prevalence globally, nearly half of all new HIV infections still occur among youth, especially in sub-Saharan Africa. While determinants of risky sexual behaviour have received copious attention in the literature, we still lack multi-country studies that track regional changes in sexual risk among youth in sub-Saharan Africa. This study seeks to fill part of this gap by identifying the determinants of risky sexual behaviours among adolescents in Ghana, Central African Republic (CAR) and Eswatini (formerly Swaziland). We used nationally representative sample data from the Multi Indicator Cluster survey, round four (MICS4). Results of the descriptive analysis show that overall consistent condom use is still extremely low in sub-Saharan Africa. In Ghana, only 8.5% of male youth and 7% of female youth consistently use condoms. In CAR this figure is 8% and 4% in male youth and female youth respectively. In Eswatini, with one of highest HIV prevalence in the world, the prevalence of consistent condom use is at 29% in males and 20% in females, higher than both in Ghana and CAR. Results of hierarchical models show that age at first sex does not predict risky sexual behaviour in Ghana, but it does predict risky sexual behaviour in CAR although only among young males. In Swaziland, age at first sex predicts risky sexual behaviour in both male and female youth but the relationship is not in the expected direction. Low socio-economic status predicts inconsistent condom use in all the three countries, but only among young females. This paper provides relevant policy lessons and recommendations.

HIV-related knowledge in Nigeria: a 2003-2013 trend analysis

Background

Given Nigeria’s status as the country with the second highest number of people living with HIV globally, and 9% of the total global burden of HIV being attributable to Nigeria alone in 2013, improving our understanding of the nature of the HIV epidemic in Nigeria is crucial. As HIV-related knowledge may be an important contributor to engagement in preventive behaviours, it is of interest to investigate trends in HIV-related knowledge in Nigeria with the purpose of informing future HIV prevention and education efforts. This study therefore aims to investigate trends in HIV-related knowledge in Nigeria between 2003 and 2013.

Methods

Data were derived from the 2003-2013 Nigerian Demographic and Health Surveys, and HIV-related knowledge scores were computed based on answers to HIV-related knowledge questions in the surveys. The significance of the difference between HIV-related knowledge across the time points was determined via the Kruskal-Wallis test, and changes in HIV-related knowledge were displayed graphically, stratified by relevant socio-demographic characteristics. ARIMA models were fit to the 2003 to 2013 trend data.

Results

Although there was generally a decrease in HIV-related knowledge across most knowledge domains in 2008, an overall increase was observed between 2003 and 2013. Unfortunately however, this was not the case for knowledge of mother-to-child transmission, which decreased between 2003 and 2013. The disparity in knowledge of HIV risk reduction between states also increased over time.

Conclusion

These findings suggest that although HIV-related knowledge appears to be increasing overall, future HIV prevention and education programs should focus on specific knowledge domains such as mother-to-child transmission, and on specific states in which HIV-related knowledge remains low.

Growth scaling for the early dynamics of HIV/AIDS epidemics in Brazil and the influence of socio-demographic factors

The early dynamics of an infectious disease outbreak can be affected by various factors including the transmission mode of the disease and host-specific factors. While recent works have highlighted the presence of sub-exponential growth patterns during the early phase of epidemics, empirical studies examining the contribution of different factors to early epidemic growth dynamics are lacking. Here we aim to characterize and explain the early incidence growth patterns of local HIV/AIDS epidemics in Brazil as a function of socio-demographic factors. For this purpose, we accessed annual AIDS incidence series and state-level socio-demographic variables from publicly available databases. To characterize the early growth dynamics of the HIV/AIDS epidemic, we employed the generalized-growth model to estimate with quantified uncertainty the scaling of growth parameter (p) which captures growth patterns ranging from constant incidence (p=0) to sub-exponential (0 < p < 1) and exponential growth dynamics (p=1) at three spatial scales: national, regional, and state levels. We evaluated the relationship between socio-demographic variables and epidemic growth patterns across 27 Brazilian states using mixed-effect regression analyses. We found wide variation in the early dynamics of the AIDS epidemic in Brazil, displaying sub-exponential growth patterns with the p parameter estimated substantially below 1.0. The mean p was estimated to be 0.81 at the national level, with a range of 0.72-0.85 at the regional level, and a range of 0.28-0.96 at the state level. Our findings support the notion that socio-demographic factors contribute to shaping the early growth dynamics of the epidemic at the local level. Gini index and socio-demographic index were negatively associated with the parameter p, whereas urbanicity was positively associated with p_. The results could have theoretical significance in understanding differences in growth scaling across different sexually transmitted disease systems, and have public health implications to guide control.

Wealth inequality as a predictor of HIV-related knowledge in Nigeria

Introduction

Considering the high state-level heterogeneity of HIV prevalence and socioeconomic characteristics in Nigeria, it is a relevant setting for studies into the socioeconomic correlates of HIV-related knowledge. Although the relationship between absolute poverty and HIV transmission has been studied, the role of wealth inequality in the dynamics of the HIV epidemic has yet to be investigated in Nigeria. The current study, therefore, investigates wealth inequality and other sociodemographic covariates as predictors of HIV-related knowledge, in order to identify subgroups of the Nigerian population that would benefit from HIV preventive interventions.

Methods

This study used the nationally representative 2013 Nigerian Demographic and Health Survey (NDHS). HIV-related knowledge was computed as a total score based on HIV-related knowledge indicators in the NDHS, dichotomised using the sample median as the cut-off. Wealth inequality and other relevant sociodemographic variables were introduced into a logistic regression model based on their significance in bivariate analyses. ORs derived from the model were interpreted to identify risk groups for low HIV-related knowledge after adjusting for confounding factors.

Results

The regression model indicated that individuals with lower literacy levels were almost twice as likely as literate respondents to have low HIV-related knowledge (adjusted OR (AOR): 1.95, 95% CI 1.85 to 2.05, P<0.001), and individuals in the upper wealth quintile were less than half as likely than those in the lower wealth quintile to have low HIV-related knowledge (AOR: 0.40, 95% CI 0.35 to 0.46, P<0.001). Women were also more than twice as likely as men to have low HIV-related knowledge at each level of wealth inequality. In addition, women were 80% less likely to have low mother-to-child transmission knowledge than men, but had over 1.5 times higher odds of having poor knowledge of HIV risk reduction measures. Ethnicity, religious affiliation, relationship status and residing in rural areas were additional significant predictors of HIV-related knowledge.

Conclusion

HIV-related knowledge in this sample is generally low among women, those with low literacy levels, the poor, the unemployed, those residing in rural areas, those with traditional religious beliefs and those living in states with the highest wealth inequality ratios. The identification of these risk groups for low HIV-related knowledge facilitates the implementation of future evidence-based interventions among these groups in order to potentially reduce HIV transmission.

Structural inequalities drive late HIV diagnosis: The role of black racial concentration, income inequality, socioeconomic deprivation, and HIV testing

In the United States, research is limited on the mechanisms that link socioeconomic and structural factors to HIV diagnosis outcomes. We tested whether neighborhood income inequality, socioeconomic deprivation, and black racial concentration were associated with gender-specific rates of HIV in the advanced stages of AIDS (i.e., late HIV diagnosis). We then examined whether HIV testing prevalence and accessibility mediated any of the associations above. Neighborhoods with highest (relative to lowest) black racial concentration had higher relative risk of late HIV diagnosis among men (RR=1.86; 95%CI=1.15, 3.00) and women (RR=5.37; 95%CI=3.16, 10.43) independent of income inequality and socioeconomic deprivation. HIV testing prevalence and accessibility did not significantly mediate the associations above. Research should focus on mechanisms that link black racial concentration to HIV diagnosis outcomes.

What does sustainability mean in the HIV and AIDS response?

Immense progress has been made in the fight against HIV and AIDS. Achieving and exceeding the AIDS targets for the Millennium Development Goals (MDGs) was accomplished, in large part, due to an unprecedented financial investment from the international community. Following an $800 million dip in donor disbursements in 2010, the discourse has since shifted to the need for greater sustainability of funding. But what does sustainability mean? Current efforts focus heavily on fiscal imperatives such as increasing domestic funding. This is important - needs are increasing at a faster rate than donor funding, especially with increased treatment coverage. The problem is that measures of financial sustainability tell very little about the actual sustainability of specific programmes, disease trajectories or enabling environments. Recognising that current definitions of sustainability lack clarity and depth, we offer a new six-tenet conceptualisation of what sustainability means in the HIV and AIDS response: (1) financial, (2) epidemiological, (3) political, (4) structural, (5) programmatic, and (6) human rights. Based on these, we examine examples of donor transitions for their approach to sustainability, including PEPFAR in South Africa, the Global Fund in Eastern Europe, and the Bill and Melinda Gates Foundation in India (Avahan). We conclude that sustainability must be understood within a broader framework beyond funding stability. We also recommend that certain interventions, such as programming for key populations, may have to continue to receive external support even if affected countries can afford to pay.