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Introduction: The best method to measure adherence to antiretroviral therapy (ART) in resource-limited settings has not yet been established, particularly among adolescents and young adults (AYAs). The use of mobile technology may address the need for standardized tools in measuring adherence in this often marginalized population. Methods: We conducted a cross-sectional validation study among AYAs (18– 35 years) attending a South African HIV clinic between 07/2015-09/2017. We determine the diagnostic accuracy of two modes of delivering an adherence questionnaire (self-administered electronic vs interviewer-administered paper-adherence questionnaire) comprising two self-reported adherence tools (South African National Department of Health (NDoH) adherence questionnaire and the Simplified Medication Adherence Questionnaire (SMAQ)) to identify poor adherence compared to; 1) a detectable viral load (≥ 1000 copies/mL) and 2) a sub-optimal concentration of efavirenz (EFV) (EFV ≤ 1.00 μg/mL) measured by therapeutic drug monitoring (TDM). Results: Of 278 included participants, 7.1% and 7.3% completing the electronic- and paper-questionnaires had a detectable viral load, while 14.7% and 16.5% had a sub-optimal concentration of EFV, respectively. According to viral load monitoring, the electronic-adherence questionnaire had a higher sensitivity (Se) in detecting poor adherence than the paper-based version across the NDoH adherence questionnaire (Se: 63.6% vs 33.3%) and SMAQ (Se: 90.9% vs 66.7%). In contrast, when using blood drug concentration (EFV ≤ 1.00 μg/mL), the paper-adherence questionnaire produced a higher sensitivity across both adherence tools; namely the NDoH adherence questionnaire (Se: 50.0% vs 38.1%) and SMAQ (Se: 75.0% vs 57.1%). Conclusion: When using more accurate real-time measures of poor adherence such as TDM in this young adult population, we observe a higher sensitivity of an interviewer-administered paper-adherence questionnaire than an identical set of self-administered adherence questions on an electronic tablet. An interviewer-administered questionnaire may elicit more accurate responses from participants through a sense of increased accountability when engaging with health care workers. [ABSTRACT FROM AUTHOR]

Background: Depression is a leading cause of disability and may be associated with decreased adherence to ART. We sought to describe the prevalence of depressive symptoms and outcomes one year after screening among patients receiving ART at a large HIV Clinic in Johannesburg, South Africa. Methods: Adult (≥18) patients who had been on first-line ART between 6–18 months who could communicate in English were eligible. Depressive symptoms were evaluated using the Patient Health Questionnaire (PHQ)-9 and a score ≥10 indicated depression. Results: 97 patients enrolled. Patients had been on ART for a median (IQR) of 8 (7–10) months, 61% were female, the median (IQR) age at enrollment was 38 (33–42) years, and the median (IQR) CD4 count at ART initiation was 154.5 (65–263) cells/mm3. 7 (7%) patients were found to have symptoms of depression; 4 (4%) had symptoms of moderate depression (PHQ score of 10–14) and 3 (3%) had symptoms of moderate/severe depression (PHQ score of 15–19). Women (10%) were more likely to have symptoms of depression than men (3%; prevalence difference [PD]: 7.5%; 95% confidence interval [CI]:-1.7%-16.8%); as were patients under the age of 30 (14%) compared to those 30–39 (4%; PD: -10.2; 95% CI: -29.4–9.0%) or ≥40 (9%; PD: -5.5%; -26.1%-15.2%), those with lower CD4 counts at ART initiation (<200 cells/mm3 vs ≥200 cells/mm3: 8% vs 3%; PD: 4.8%; 95% CI: -4.5%-14.0%), and those with high viral loads (>1000 copies/mL vs. <400 copies/mL: 40% vs. 5%; PD: 34.6%; 95% CI: -8.6%-77.6%). No relationship between depressive symptoms and retention in HIV care one year after screening was observed. Conclusions: We found a lower prevalence of depressive symptoms compared to findings from other HIV-positive populations in South Africa but more than one-third of patients with an elevated viral load had evidence of depression. Further research on the relationship between depression, adherence, and viral failure is warranted as this may present an opportunity for early interventions to improve treatment outcomes and reduce the need for second-line treatment. [ABSTRACT FROM AUTHOR]

Objectives: To report predictors of outcomes of second-line ART for HIV treatment in a resource-limited setting.Methods: All adult ART-naïve patients who initiated standard first-line treatment between April 2004 and February 2012 at four public-sector health facilities in Johannesburg, South Africa, experienced virologic failure and initiated standard second-line therapy were included. We assessed predictors of attrition (death and loss to follow-up [≥3 months late for a scheduled visit]) using Cox proportional hazards regression and predictors of virologic suppression (viral load <400 copies/ml ≥3 months after switch) using modified Poisson regression with robust error estimation at 1 year and ever after second-line ART initiation.Results: A total of 1236 patients switched to second-line treatment in a median (IQR) of 1.9 (0.9-4.6) months after first-line virologic failure. Approximately 13% and 45% of patients were no longer in care at 1 year and at the end of follow-up, respectively. Patients with low CD4 counts (<50 vs. ≥200, aHR: 1.85; 95% CI: 1.03-3.32) at second-line switch were at greater risk for attrition by the end of follow-up. About 75% of patients suppressed by 1 year, and 85% had ever suppressed by the end of follow-up.Conclusions: Patients with poor immune status at switch to second-line ART were at greater risk of attrition and were less likely to suppress. Additional adherence support after switch may improve outcomes. [ABSTRACT FROM AUTHOR]

Background: In 2010 South Africa revised its HIV treatment guidelines to allow the initiation and management of patients on antiretroviral therapy (ART) by nurses, rather than solely doctors, under a program called NIMART (Nurse Initiated and Managed Antiretroviral Therapy). We compared the outcomes and costs of NIMART between the two major public sector HIV treatment delivery models in use in South Africa today, primary health clinics and hospital-based HIV clinics. Methods and findings: The study was conducted at one hospital-based outpatient HIV clinic and one primary health clinic (PHC) in Gauteng Province. A retrospective cohort of adult patients initiated on ART at the PHC was propensity-score matched to patients initiated at the hospital outpatient clinic. Each patient was assigned a 12-month outcome of alive and in care or died/lost to follow up. Costs were estimated from the provider perspective for the 12 months after ART initiation. The proportion of patients alive and in care at 12 months did not differ between the PHC (76.5%) and the hospital-based site (74.2%). The average annual cost per patient alive and in care at 12 months after ART initiation was significantly lower at the PHC (US$238) than at the hospital outpatient clinic (US$428). Conclusions: Initiating and managing ART patients at PHCs under NIMART is producing equally good outcomes as hospital-based HIV clinic care at much lower cost. Evolution of hospital-based clinics into referral facilities that serve complicated patients, while investing most program expansion resources into PHCs, may be a preferred strategy for achieving treatment coverage targets. [ABSTRACT FROM AUTHOR]

Background: While efficacy data exist, there are limited data on the outcomes of patients on third-line antiretroviral therapy (ART) in sub-Saharan Africa in actual practice. Being able to identify predictors of switch to third-line ART will be essential for planning for future need. We identify predictors of switch to third-line ART among patients with significant viraemia on a protease inhibitor (PI)-based second-line ART regimen. Additionally, we describe characteristics of all patients on third-line at a large public sector HIV clinic and present their early outcomes. Methods: Retrospective analysis of adults (≥ 18 years) on a PI-based second-line ART regimen at Themba Lethu Clinic, Johannesburg, South Africa as of 01 August 2012, when third-line treatment became available in South Africa, with significant viraemia on second-line ART (defined as at least one viral load ≥ 1000 copies/mL on second-line ART after 01 August 2012) to identify predictors of switch to third-line (determined by genotype resistance testing). Third-line ART was defined as a regimen containing etravirine, raltegravir or ritonavir boosted darunavir, between August 2012 and January 2016. To assess predictors of switch to third-line ART we used Cox proportional hazards regression among those with significant viraemia on second-line ART after 01 August 2012. Then among all patients on third-line ART we describe viral load suppression, defined as a viral load < 400 copies/mL, after starting third-line ART. Results: Among 719 patients in care and on second-line ART as of August 2012 (with at least one viral load ≥ 1000 copies/mL after 01 August 2012), 36 (5.0% over a median time of 54 months) switched to third-line. Time on second-line therapy (≥ 96 vs. < 96 weeks) (adjusted Hazard Ratio (aHR): 2.53 95% CI 1.03–6.22) and never reaching virologic suppression while on second-line ART (aHR: 3.37 95% CI 1.47–7.73) were identified as predictors of switch. In a separate cohort of patients on third-line ART, 78.3% (47/60) and 83.3% (35/42) of those in care and with a viral load suppressed their viral load at 6 and 12 months, respectively. Conclusions: Our results show that the need for third-line is low (5%), but that patients’ who switch to third-line ART have good early treatment outcomes and are able to suppress their viral load. Adherence counselling and resistance testing should be prioritized for patients that are at risk of failure, in particular those who never suppress on second-line and those who have been on PI-based regimen for extended periods. [ABSTRACT FROM AUTHOR]