Impact and cost-effectiveness of non-governmental organizations on the HIV epidemic in Ukraine among MSM

Associations Between Sexual Behavior Stigma and HIV Risk Behaviors, Testing, Treatment, and Infection Among Men Who have Sex with Men in Ukraine

Stigma toward same-sex behaviors may be a structural driver of HIV epidemics among men who have sex with men (MSM) in Eastern Europe and has been linked to adverse HIV-outcomes elsewhere. We explored associations between sexual behavior stigma with HIV risk behaviors, testing, treatment, and infection. From November 2017 to February 2018, MSM across 27 Ukrainian cities were recruited to cross-sectional surveys using respondent driven sampling. Eligible participants were cisgender males aged ≥ 14 years residing in participating cities that reported ≥ 1 sexual contact with another man in the prior 6 months. Participants self-reported experience of stigma (ever) and various HIV-outcomes and were tested for HIV antibodies. Regression models were used to explore associations between three sexual behavior stigma variables with demographic and HIV-related variables. Of 5812 recruited cisgender MSM, 5544 (95.4%) were included. 1663 (30.0%) MSM reported having experienced stigma due to being MSM from family and friends, 698 (12.6%) reported anticipated healthcare stigma, and 1805 (32.6%) reported general public/social stigma due to being MSM (enacted). All forms of stigma were associated with heightened HIV risk behaviors; those experiencing stigma (vs not) had more anal sex partners in the prior month and were less likely to have used condoms during their last anal intercourse. Stigma was not associated with HIV infection, testing, or treatment variables. A sizeable proportion of Ukrainian MSM reported ever experiencing stigma due to being MSM. MSM that had experienced stigma had higher odds of HIV sexual risk behaviors. Further study using longitudinal designs is required to determine causality.

Role of social organization engagement in high-risk groups intervention against HIV/AIDS: a case study from 176 cities of China

BACKGROUND

A high-risk prevention strategy is an effective way to fight against human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome (AIDS). The China AIDS Fund for Non-Governmental Organizations (CAFNGO) was established in 2015 to help social organizations intervene to protect high-risk populations in 176 cities. This study aimed to evaluate the role of social organizations in high-risk population interventions against HIV/AIDS.

METHODS

This study was based on the CAFNGO program from 2016 to 2020. The collected data included the number and types of social organizations participating in high-risk group interventions and the amount of funds obtained by these organizations each year. We explored the factors influencing the number of newly diagnosed AIDS cases using a spatial econometric model. Furthermore, we evaluated the effectiveness of intervention activities by comparing the percentages of the individuals who initially tested positive, and the individuals who took the confirmatory test, as well as those who retested positive and underwent the treatment.

RESULTS

Overall, from 2016 to 2020, the number of social organizations involved in interventions to protect HIV/AIDS high-risk populations increased from 441 to 532, and the invested fund increased from $3.98 to $10.58 million. The number of newly diagnosed cases decreased from 9128 to 8546 during the same period. Although the number of cities with overall spatial correlations decreased, the spatial agglomeration effect persisted in the large cities. City-wise, the number of social organizations (direct effect 19.13), the permanent resident population (direct effect 0.12), GDP per capita (direct effect 17.58; indirect effect - 15.38), and passenger turnover volume (direct effect 5.50; indirect effect - 8.64) were the major factors influencing new positive cases confirmed through the testing interventions performed by the social organizations. The initial positive test rates among high-risk populations were below 5.5%, the retesting rates among those who initially tested positive were above 60%, and the treatment rates among diagnosed cases were above 70%.

CONCLUSIONS

The spatial effect of social organizations participating in interventions targeting high-risk populations funded by CAFNGO is statistically significant. Nevertheless, despite the achievements of these social organizations in tracking new cases and encouraging treatment, a series of measures should be taken to further optimize the use of CAFNGO. Working data should be updated from social organizations to CAFNGO more frequently by establishing a data monitoring system to help better track newly diagnosed AIDS cases. Multichannel financing should be expanded as well.