Low levels of viral suppression among refugees and host nationals accessing antiretroviral therapy in a Kenyan refugee camp.

BACKGROUND: Refugees and host nationals who accessed antiretroviral therapy (ART) in a remote refugee camp in Kakuma, Kenya (2011-2013) were compared on outcome measures that included viral suppression and adherence to ART. METHODS: This study used a repeated cross-sectional design (Round One and Round Two). All adults (≥18 years) receiving care from the refugee camp clinic and taking antiretroviral therapy (ART) for ≥30 days were invited to participate. Adherence was measured by self-report and monthly pharmacy refills. Whole blood was measured on dried blood spots. HIV-1 RNA was quantified and treatment failures were submitted for drug resistance testing. A remedial intervention was implemented in response to baseline testing. The primary outcome was viral load <5000 copies/mL. The two study rounds took place in 2011-2013. RESULTS: Among eligible adults, 86% (73/85) of refugees and 84% (86/102) of Kenyan host nationals participated in the Round One survey; 60% (44/73) and 58% (50/86) of Round One participants were recruited for Round Two follow-up viral load testing. In Round One, refugees were older than host nationals (median age 36 years, interquartile range, IQR 31, 41 vs 32 years, IQR 27, 38); the groups had similar time on ART (median 147 weeks, IQR 38, 64 vs 139 weeks, IQR 39, 225). There was weak evidence for a difference between proportions of refugees and host nationals who were virologically suppressed (<5000 copies/mL) after 25 weeks on ART (58% vs 43%, p = 0.10) and no difference in the proportions suppressed at Round Two (74% vs 70%, p = 0.66). Mean adherence within each group in Round One was similar. Refugee status was not associated with viral suppression in multivariable analysis (adjusted odds ratio: 1.69, 95% CI 0.79, 3.57; p = 0.17). Among those not suppressed at either timepoint, 69% (9/13) exhibited resistance mutations. CONCLUSIONS: Virologic outcomes among refugees and host nationals were similar but unacceptably low. Slight improvements were observed after a remedial intervention. Virologic monitoring was important for identifying an underperforming ART program in a remote facility that serves refugees alongside host nationals. This work highlights the importance of careful laboratory monitoring of vulnerable populations accessing ART in remote settings.

Rates and Predictors of Non-Adherence to Antiretroviral Therapy among HIV-Positive Individuals in Kenya: Results from the Second Kenya AIDS Indicator Survey, 2012.

INTRODUCTION: Understanding the levels and associated factors of non-adherence to antiretroviral therapy (ART) is crucial in designing interventions to improve adherence and health outcomes of ART. We assessed non-adherence to ART among HIV-infected persons reporting ART use in a nationally representative survey in Kenya. METHODS: The Kenya AIDS Indicator Survey 2012 was a population-based, household survey of persons aged 18 months-64 years conducted in 2012-2013. Self-reported information was collected on demographics, sexual behaviour, HIV status, and ART use. Blood was collected for HIV testing, and if HIV infected, CD4 and viral load testing. HIV-positive specimens were tested for the presence of antiretroviral (ARV) drugs using a qualitative ARV assay using liquid chromatography-tandem mass spectrometry. HIV-positive persons who reported receiving ART but did not have the ARV biomarker present were defined as being non-adherent to their ARV medication. We restricted our analysis to HIV-infected persons aged 15-64 years who reported receiving ART and had laboratory-confirmed results from ARV testing. Multivariate logistic regression was used to identify variables associated with non-adherence. RESULTS: A total of 648 (5.6%; CI 4.9-6.3) tested HIV-positive of whom 559 (86.3%) had sufficient volume of blood to be tested for ARV drugs. Of those, 271 (47.7%; CI 41.8-53.6) self-reported HIV-positive status during the interview and 186 (69.1%; CI 62.2-76.0) of those reported taking ART. The ARV biomarker was absent in 18 of 186 individuals (9.4%; CI 4.9-13.8) who thus were defined as being non-adherent to ART. Non-adherence was associated with being aged 15-29 years (AOR 8.39; CI 2.26-31.22, p = 0.002) compared to aged 30-64 years, rural residence (AOR 5.87; CI 1.39-25.61, p = 0.016) compared with urban residence and taking recreational drugs in the past 30 days (AOR 5.89; CI 1.30-26.70, p = 0.022). CONCLUSION: Overall, less than 10% of Kenyans aged 15-64 years on ART were not adhering to their HIV medication, highlighting the success of the Kenyan national ART program. Our findings, however, point to the need for targeted interventions particularly for young persons, those in rural areas to improve adherence outcomes, as well as delivery of treatment programs that include psychosocial support as a preventative measure to minimize substance abuse and the risk of treatment failure.

Characteristics and outcomes of HIV-infected youth and young adolescents enrolled in HIV care in Kenya.

BACKGROUND: The number of youth and adolescents (10-24 years) with HIV infection has increased substantially presenting unique challenges to effective health service delivery. METHODS: We examined routinely collected patient-level data for antiretroviral treatment (ART)-naive HIV-infected patients, aged 10-24 years, enrolled in care during 2006-2011 at 109 ICAP-supported health facilities in three provinces in Kenya. Loss to follow-up (LTF) was defined as having no clinic visit for 12 months prior to ART initiation (pre-ART) and 6 months for ART patients. Competing risk and Kaplan-Meier estimators were used to calculate LTF and death rates. Sub-distributional and Cox proportional-hazards models were used to identify potential predictors of death and LTF. RESULTS: Overall 22 832 patients were enrolled in care at 10-24 years of age, 69.5% were aged 20-24 years, and 82% were female. Median CD4(+) cell count was 332 cells/µl (interquartile range 153-561); 70.8% were WHO stage I/II. Young adolescents (10-14 years) had more advanced WHO stage and lower median CD4(+) cell count compared to youth (15-24 years) at enrollment (284 vs. 340 cells/µl; P < 0.0001). Cumulative incidence of LTF and death at 24 months for pre-ART patients was 46.1% [95% confidence interval (CI) 45.4-46.8%) and 2.1% (95% CI 1.9-2.3%), respectively. For those on ART, 32.2% (95% CI 31.1-33.3%) were LTF and 3.9% (95% CI 1.7-2.3%) died within 24 months. LTF among pre-ART and ART patients was twice as high among youth compared to young adolescents. CONCLUSION: LTF of young people with HIV in this Kenyan cohort was high and notably greater among youth compared to young adolescents. Novel strategies targeting these populations are urgently needed to improve retention.