HIV Prevalence and the HIV Treatment Cascade Among Female Sex Workers in Cross-Border Areas in East Africa

HIV treatment cascade among female sex workers in Ethiopia: Assessment against the UNAIDS 90-90-90 targets

BACKGROUND

HIV treatment cascades for HIV-positive female sex workers (FSWs) have been challenged by the overlapping stigma and discrimination associated with both their sex work and HIV status. This study aims to assess the proportion of HIV-positive FSWs who access care and treatment in Ethiopia.

METHOD

A cross-sectional study with a respondent-driven sampling technique was used to enroll 6,085 female sex workers from January to June 2020. Interviews were conducted to assess the FSWs' HIV status awareness and access to ART. A blood sample was drawn to determine the current HIV status and viral load level. Logistic regression was run to identify factors associated with FSWs' HIV status awareness.

RESULTS

Of the total 1140 HIV-positive FSWs, 50.38% knew they were HIV positive; 92.88% of those who knew their status were on ART, and 91.68% of those on ART had attained viral suppression of less than 1000 copies per milliliter. The adjusted odds of knowing HIV status was 3.20 (95% CI; 2.00, 5.13) among those aged 35 years and older, 1.81 (95% CI; 1.05, 3.12) among widowed, and 1.73 (95% CI; 1.28, 2.32) in those who did not perceive the risk of HIV acquisition.

CONCLUSION

Only about half of HIV-positive FSWs knew they were HIV positive. More than 90% of those who knew their status were put on ART and achieved viral suppression. The weakest point in achieving HIV control among FSWs is the identification of those living with HIV.

The effect of drop-in centers on access to HIV testing, case finding, and condom use among female sex workers in Addis Ababa, Ethiopia

Background

Varied HIV prevention interventions involving multiple strategies has been instrumental in the effort to contain and lessen the prevalence of HIV around the globe. However, female sex workers (FSWs) often face stigma and discriminatory challenges, resulting in lower access to the HIV prevention initiatives. This study has aimed to assess the effect of one of the HIV service delivery models, the Drop-in Centers (DICs), which is designed to overcome the service uptake barriers of FSWs.

Method

A quasi-experimental study design was employed. A respondent-driven sampling technique was used to recruit 1,366 FSWs from January to June 2020. A propensity score matching technique was used to balance the potential confounders between FSWs who had access to DICs and those who had never accessed DICs. Comparisons of the effect of DIC on the outcome of interest was made using a logit regression model at a 5% level of significance.

Results

A total of 1,366 FSWs took part in the study. The analysis estimated the average treatment effects of access to DICs on four key outcomes: ever-testing to know HIV status, finding HIV-positive FSWs, awareness of HIV-positive status, and consistent condom use. A significant effect of DIC was seen at a 95% confidence interval on each outcome. Access to DIC produced a 7.58% increase in the probability of testing to know HIV status (P < 0.001), a 7.02% increment in finding HIV-positive FSWs (P = 0.003), an increase of 6.93% in awareness of HIV status among HIV positive FSWs (P = 0.001), and a 4.39% rise in consistent condom use (P = 0.01).

Conclusions

Ensuring access of FSWs to DICs has led to an upsurge in HIV testing among FSWs, raising HIV status awareness among those who are HIV positive, and encouraged consistent condom use. To provide effective HIV prevention services, particularly to those FSWs living with HIV, it is essential to strengthen the services provided in DICs and expand the centers. This will ensure that the entire network of FSWs is reached with appropriate HIV prevention services.

When Does Differential Outcome Misclassification Matter for Estimating Prevalence?

BACKGROUND

When accounting for misclassification, investigators make assumptions about whether misclassification is "differential" or "nondifferential." Most guidance on differential misclassification considers settings where outcome misclassification varies across levels of exposure, or vice versa. Here, we examine when covariate-differential misclassification must be considered when estimating overall outcome prevalence.

METHODS

We generated datasets with outcome misclassification under five data generating mechanisms. In each, we estimated prevalence using estimators that (a) ignored misclassification, (b) assumed misclassification was nondifferential, and (c) allowed misclassification to vary across levels of a covariate. We compared bias and precision in estimated prevalence in the study sample and an external target population using different sources of validation data to account for misclassification. We illustrated use of each approach to estimate HIV prevalence using self-reported HIV status among people in East Africa cross-border areas.

RESULTS

The estimator that allowed misclassification to vary across levels of the covariate produced results with little bias for both populations in all scenarios but had higher variability when the validation study contained sparse strata. Estimators that assumed nondifferential misclassification produced results with little bias when the covariate distribution in the validation data matched the covariate distribution in the target population; otherwise estimates assuming nondifferential misclassification were biased.

CONCLUSIONS

If validation data are a simple random sample from the target population, assuming nondifferential outcome misclassification will yield prevalence estimates with little bias regardless of whether misclassification varies across covariates. Otherwise, obtaining valid prevalence estimates requires incorporating covariates into the estimators used to account for misclassification.

Pharmaco-virological algorithm to target risk of drug resistance among a population of HIV-infected key populations in Togo

No data about antiretroviral (ARV) treatment coverage and virological response are available among key populations (female sex workers [FSW] and Men having Sex with Men [MSM]) in Togo. This study aimed to both describe Human Immunodeficiency Virus (HIV) immunovirological status and evaluate the pertinence of an original algorithm combining pharmacology (PK) and viral load (VL) to identify subjects at risk of ARV drug resistance. A cross-sectional multicentric study was conducted in 2017 in Togo. Our PK-virological algorithm (PK-VA) defines subjects at risk of resistance when exhibiting both detectable plasma drug concentrations and VL > 200 c/mL. Among the 123 FSW and 136 MSM included, 50% and 66% were receiving ARV, with 69% and 80% of them successfully-treated, respectively. Genotypes showed drug-resistance mutation in 58% and 63% of nonvirologically controlled (VL > 200 c/mL) ARV-treated FSW and MSM, respectively. PK-VA would have enabled to save 75% and 72% of genotypic tests, for FSW and MSM, respectively. We reported first data about HIV care cascade among key populations in Togo, highlighting they are tested for HIV but linkage to care remains a concern. Furthermore, 70%-80% of ARV-treated participants experienced virological success. In limited resources settings, where genotyping tests are beyond reach, PK-VA might be an easiest solution to sort out patients needing ARV adaptation due to resistance.

"I felt very small and embarrassed by the health care provider when I requested to be tested for syphilis": barriers and facilitators of regular syphilis and HIV testing among female sex workers in Uganda

Background

Periodic testing of female sex workers (FSW) for sexually transmitted infections (STIs) is a core component of global and national responses to achieve population-level STI elimination. We conducted a qualitative study to explore barriers and facilitators of regular syphilis and HIV testing among FSW in Uganda.

Methods

Within a quasi-experimental study among 436 FSW to assess the effect of peer education and text message reminders on uptake of regular STI and HIV testing among FSW, we conducted 48 qualitative interviews in four cities in Uganda from August–December 2018. We purposively selected FSW who tested for syphilis and HIV every 3–6 months; 12 FSW were interviewed in each city. Sex worker interviews explored: 1) reasons for periodic syphilis and HIV testing; 2) barriers and facilitators of testing; 3) experiences of testing; and 4) challenges faced while seeking testing services. Data were analyzed using thematic content analysis.

Results

Thematic analysis revealed individual- and health system-level barriers and facilitators of testing. For syphilis, barriers were a) interpersonal stigma, low perceived severity of syphilis and testing misconceptions (individual); and b) judgmental provider attitudes, paucity of facilities offering syphilis testing, stockouts of test kits and high cost (health system). Facilitators were c) desire to remain healthy, get married and have children, knowing the benefits of early treatment, influence of male partners/clients and normative testing behaviors (individual); and d) sex worker clinics offering dual syphilis/HIV testing (health system). For HIV, barriers included: a) internalized stigma (individual); and b) unfavorable clinic hours, stigma, discrimination, and unfriendly provider (health system). Facilitators were a) motivations to stay healthy and attract clients, habitual testing, self-efficacy, doubts about accuracy of negative test results, and use of post-exposure prophylaxis (individual); and d) availability of testing facilities (health system). Syphilis and HIV had similar testing barriers and facilitators.

Conclusions

HIV programs are likely to be important entry points for syphilis testing among FSW. Multi-level interventions to address testing barriers should consider focusing on these service delivery points. Extending the dual syphilis and HIV testing approach to FSW may improve testing uptake for both infections at public health facilities and decrease population-level incidence.