Divergent estimates of HIV incidence among people who inject drugs in Ukraine

Examining trends in the incidence of HIV infection among people with a history of drug use to inform an outbreak investigation and response: A retrospective cohort study

BACKGROUND

In the context of an outbreak of HIV among people who inject drugs in Glasgow, Scotland, identified in 2015, our objectives were to: (1) develop epidemiological methods to estimate HIV incidence using data linkage, and (2) examine temporal changes in HIV incidence to inform public health responses.

METHODS

This was a retrospective cohort study involving data linkage of laboratory HIV testing data to identify individuals with a history of drug use. Person-years (PY) and Poisson regression were used to estimate incidence by time period (pre-outbreak: 2000-2010 and 2011-2013; early outbreak: 2014-2016; ongoing outbreak: 2017-2019).

RESULTS

Among 13 484 individuals tested for HIV, 144 incident HIV infections were observed from 2000 to 2019. Incidence rates increased from pre-outbreak periods (1.00/1000 PY (95% confidence interval, CI: 0.60-1.65) in 2000-2010 and 1.70/1000 PY (95% CI: 1.14-2.54) in 2011-2013) to 3.02/1000 PY (95% CI: 2.36-3.86) early outbreak (2014-2016) and 2.35 (95% CI 1.74-3.18) during the ongoing outbreak period (2017-2019). Compared with the pre-outbreak period (2000-2010), the incidence rates were significantly elevated during both the early outbreak (2014-16) (adjusted incidence rate ratio (aIRR) = 2.87, 95% CI: 1.62-5.09, p < 0.001) and the ongoing outbreak periods (2017-19) (aIRR = 2.12, 95% CI: 1.16-3.90, p = 0.015).

CONCLUSIONS

Public health responses helped to curb the rising incidence of HIV infection among people with a history of drug use in Glasgow, but further efforts are needed to reduce it to levels observed prior to the outbreak. Data linkage of routine diagnostic test data to assess and monitor incidence of HIV infection provided enhanced surveillance, which is important to inform outbreak investigations and guide national strategies on elimination of HIV transmission.

Police abuse and care engagement of people with HIV who inject drugs in Ukraine

Police abuse affects people who inject drugs (PWID), including those with HIV, and negatively impacts care engagement. This cross-sectional study evaluated police abuse among PWID receiving MOUD (medication for opioid use disorder) living with HIV and associations with HIV treatment adherence and receipt of NGO services. We assessed lifetime and past six-month rates of police abuse among a cohort of Ukrainian PWID with HIV receiving MOUD (n = 190) from August to September 2017. Logistic regression models evaluated associations between past six-month police abuse and past 30-day antiretroviral therapy (ART) adherence, and past six-month NGO service receipt. Almost all (90%) participants reported lifetime police abuse: 77% reported physical violence and 75% reported paying the police to avoid arrest. One in four females (25%) reported police-perpetrated sexual violence. Recent police abuse was reported by 16% of males and 2% of females and was not associated with ART adherence (aOR: 1.1; 95% CI:0.3-5.0) or NGO service receipt (aOR: 3.4; 95% CI:0.6-18.3). While lifetime police abuse rates were high, few participants reported recent police abuse, which was not linked to care engagement. These trends should encourage the Ukrainian government for public health-public safety partnerships and legal interventions to eliminate human rights violations against PWID living with HIV.

A review of reported network degree and recruitment characteristics in respondent driven sampling implications for applied researchers and methodologists

OBJECTIVE

Respondent driven sampling (RDS) is an important tool for measuring disease prevalence in populations with no sampling frame. We aim to describe key properties of these samples to guide those using this method and to inform methodological research.

METHODS

In 2019, authors who published respondent driven sampling studies were contacted with a request to share reported degree and network information. Of 59 author groups identified, 15 (25%) agreed to share data, representing 53 distinct study samples containing 36,547 participants across 12 countries and several target populations including migrants, sex workers and men who have sex with men. Distribution of reported network degree was described for each sample and characteristics of recruitment chains, and their relationship to coupons, were reported.

RESULTS

Reported network degree is severely skewed and is best represented by a log normal distribution. For participants connected to more than 15 other people, reported degree is imprecise and frequently rounded to the nearest five or ten. Our results indicate that many samples contain highly connected individuals, who may be connected to at least 1000 other people.

CONCLUSION

Because very large reported degrees are common; we caution against treating these reports as outliers. The imprecise and skewed distribution of the reported degree should be incorporated into future RDS methodological studies to better capture real-world performance. Previous results indicating poor performance of regression estimators using RDS weights may be widely generalizable. Fewer recruitment coupons may be associated with longer recruitment chains.