This article presents key findings from the 2012 HIV prevalence, incidence and behaviour survey conducted in South Africa and explores trends in the HIV epidemic. A representative household based s...

Many people living with HIV (PLWH) who are eligible for antiretroviral therapy (ART) do not initiate treatment, leading to excess morbidity, mortality, and viral transmission. As countries move to treat all PLWH at diagnosis, it is critical to understand reasons for non-initiation. We conducted a systematic review of the qualitative literature on reasons for ART non-initiation in low- and middle-income countries. We screened 1376 titles, 680 abstracts, and 154 full-text reports of English-language qualitative studies published January 2000-April 2017; 20 met criteria for inclusion. Our analysis involved three steps. First, we used a "thematic synthesis" approach, identifying supply-side (facility) and demand-side (patient) factors commonly cited across different studies and organizing these factors into themes. Second, we conducted a theoretical mapping exercise, developing an explanatory model for patients' decision-making process to start (or not to start) ART, based on inductive analysis of evidence reviewed. Third, we used this explanatory model to identify opportunities to intervene to increase ART uptake. Demand-side factors implicated in decisions not to start ART included feeling healthy, low social support, gender norms, HIV stigma, and difficulties translating intentions into actions. Supply-side factors included high care-seeking costs, concerns about confidentiality, low-quality health services, recommended lifestyle changes, and incomplete knowledge of treatment benefits. Developing an explanatory model, which we labeled the Transdisciplinary Model of Health Decision-Making, we posited that contextual factors determine the costs and benefits of ART; patients perceive this context (through cognitive and emotional appraisals) and form an intention whether or not to start; and these intentions may (or may not) be translated into actions. Interventions can target each of these three stages. Reasons for not starting ART included consistent themes across studies. Future interventions could: (1) provide information on the large health and prevention benefits of ART and the low side effects of current regimens; (2) reduce stigma at the patient and community levels and increase confidentiality where stigma persists; (3) remove lifestyle requirements and support patients in integrating ART into their lives; and (4) alleviate economic burdens of ART. Interventions addressing reasons for non-initiation will be critical to the success of HIV "treat all" strategies.

The interpretation of HIV prevalence trends is increasingly difficult as antiretroviral treatment programs expand. Reliable HIV incidence estimates are critical to monitoring transmission trends and guiding an effective national response to the epidemic. We used a range of methods to estimate HIV incidence in South Africa: (i) an incidence testing algorithm applying the Limiting-Antigen Avidity Assay (LAg-Avidity EIA) in combination with antiretroviral drug and HIV viral load testing; (ii) a modelling technique based on the synthetic cohort principle; and (iii) two dynamic mathematical models, the EPP/Spectrum model package and the Thembisa model. Overall, the different incidence estimation methods were in broad agreement on HIV incidence estimates among persons aged 15-49 years in 2012. The assay-based method produced slightly higher estimates of incidence, 1.72% (95% CI 1.38 – 2.06), compared with the mathematical models, 1.47% (95% CI 1.23 – 1.72) in Thembisa and 1.52% (95% CI 1.43 – 1.62) in EPP/Spectrum, and slightly lower estimates of incidence compared to the synthetic cohort, 1.9% (95% CI 0.8 – 3.1) over the period from 2008 to 2012. Among youth aged 15-24 years, a declining trend in HIV incidence was estimated by all three mathematical estimation methods. The multi-method comparison showed similar levels and trends in HIV incidence and validated the estimates provided by the assay-based incidence testing algorithm. Our results confirm that South Africa is the country with the largest number of new HIV infections in the world, with about 1 000 new infections occurring each day among adults aged 15-49 years in 2012.

Background: Antenatal care (ANC) provides healthcare services to pregnant women in an attempt to ensure, the best possible pregnancy outcome for women and their babies. Healthcare providers’ understanding of their patient’s behaviour and reasons for engagement in care and their response to this insight can influence patient-provider interactions and patient demand for ANC early in pregnancy. We examined the insight of healthcare providers into women’s reasons for starting ANC later than the South African National Department of Health’s recommended 20 weeks gestation. We also looked at the impact of late ANC presentation on overall healthcare providers’ work experiences and their response in their interactions with patients.Methods: In-depth interviews were conducted with 10 healthcare providers at Maternal Obstetrics Units (MOU) and Primary Healthcare Centres (PHC) in Gauteng, South Africa. Healthcare providers were selected with the assistance of the facility managers. Data analysis was conducted using the qualitative analysis software NVivo 11, using a thematic approach of pinpointing, examining, and recording patterns within the data.Results: Healthcare providers were aware of patients need for secrecy in the early stages of pregnancy because of fears of miscarriage and women’s preference for traditional care. Women with prior pregnancies presumed to know about stages of pregnancy and neglected to initiate ANC early. Barriers to early ANC initiation also include, women’s need to balance income generating activities; travel cost to the clinic and refusal of care for coming after the daily patient limit has been reached. Healthcare providers encounter negative attitudes from un-booked patients. This has a reciprocal effect whereby this experience impacts on whether healthcare providers will react with empathy or frustration.Conclusions: Timing of ANC is influenced by the complex decisions women make during pregnancy, starting from accepting the pregnancy itself to acknowledging the need for ANC. To positively influence this decision making for the benefit of early ANC, barriers such as lack of knowledge should be addressed prior to pregnancy through awareness programmes. The relationship between healthcare providers and women should be emphasized when training healthcare providers and considered as an important factor that can affect the timing of ANC.

This paper aims to examine determinants of multiple sexual partnerships (MSPs) among South African men and women using a nationally representative sample. Quantitative and qualitative data from a 2008 population-based cross-sectional survey were used. The analysis focused on the 6990 (33.6% of total sample) who were 15 years and older and reported sexual activity in the prior 12 months. The qualitative component consisted of 15 focus group interviews investigating values underlying MSP behaviors. Predictors of MSP common across gender were race, having a history of STI, being in a short relationships (<1 year) and suspecting the current partner of infidelity. MSP among men enjoyed greater community acceptance and was mainly done for social status. Furthermore, men reporting MSP were mostly younger (15–24 years old) and use condom at last sex. Among women, determinants of MSP included economic vulnerability, younger age at sexual debut and living in formal urban rather than formal rural areas. The data presented in this paper reinforces the importance of MSP as a risk factor for HIV and outline factors that should strongly be considered in strengthening condom use promotion and of partner reduction programs messaging in South Africa.

Introduction: Policies for Universal Test & Treat (UTT) and same‐day initiation (SDI) of antiretroviral therapy (ART) were instituted in South Africa in September 2016 and 2017 respectively. However, there is limited evidence on whether these changes have improved patient retention after HIV diagnosis.Methods: We enrolled three cohorts of newly diagnosed HIV‐infected adults from two primary health clinics in Johannesburg from April to November 2015 (Pre‐UTT, N = 144), May‐September 2017 (UTT, N = 178) and October‐December 2017 (SDI, N = 88). A baseline survey was administered immediately after HIV diagnosis after which follow‐up using clinical records (paper charts, electronic health records and laboratory data) ensued for 12 months. The primary outcome was patient loss to follow‐up (being >90 days late for the last scheduled appointment) at 12 months post‐HIV diagnosis. We modelled attrition across HIV policy periods with Cox proportional hazard regression.Results: Overall, 410 of 580 screened HIV‐positive patients were enrolled. Overall, attrition at 12 months was 30% lower in the UTT guideline period (38.2%) compared to pre‐UTT (47.2%, aHR 0.7, 95% CI: 0.5 to 1.0). However, the total attrition was similar between the SDI (47.7%) and pre‐UTT cohorts (aHR 1.0, 95% CI: 0.7 to 1.5). Older age at HIV diagnosis (aHR 0.5 for ≥40 vs. 25 to 29 years, 95% CI: 0.3 to 0.8) and being in a non‐marital relationship (aHR 0.5 vs. being single, 95% CI: 0.3 to 0.8) protected against LTFU at 12 months, whereas LTFU rates increased with longer travel time to the diagnosing clinic (aHR 1.8 for ≥30 minutes vs. ≤15 minutes, 95% CI: 1.1 to 3.1). In analyses adjusted for the time‐varying ART initiation status, compared to the pre‐ART period of care, the hazard of on‐ART LTFU was 90% higher among participants diagnosed under the SDI policy compared to pre‐UTT (aHR 1.9, 95% CI: 1.1 to 2.9).Conclusions: Overall, nearly two‐fifths of HIV positive patients are likely to disengage from care by 12 months after HIV diagnosis under the new SDI policy. Furthermore, the increase in on‐ART patient attrition after the introduction of the SDI policy is cause for concern. Further research is needed to determine the best way for rapidly initiating patients on ART and also reducing long‐term attrition from care.