Six-month retention and changes in quality of life and substance use from a low-threshold methadone maintenance therapy programme in Durban, South Africa.

BACKGROUND: Emerging data points to a potential heroin use epidemic in South Africa. Despite this, access to methadone maintenance therapy and other evidence-based treatment options remains negligible. We aimed to assess retention, changes in substance use and quality of life after 6 months on methadone maintenance therapy provided through a low-threshold service in Durban, South Africa. METHODS: We enrolled a cohort of 54 people with an opioid use disorder into the study. We reviewed and described baseline socio-demographic characteristics. Baseline and 6-month substance use was assessed using the World Health Organization's Alcohol Smoking and Substance Use Involvement Screening Test (ASSIST) and quality of life, using the SF-12. We compared changes at 6 months on methadone to baseline using the Wilcoxon signed rank test and paired-tests for the ASSIST and SF-12 scores, respectively. McNemar's test was used for comparisons between paired results of categorical variables relating to injecting frequency. RESULTS: The majority of the participants were young, Black African males, with a history of drug use spanning over 10 years. Retention after 6 months was 81%. After 6 months, the median heroin ASSIST score decreased from 37 to 9 (p < 0.0001) and the cannabis ASSIST score increased from 12.5 to 21 (p = 0.0003). The median mental health composite score of the SF-12 increased from 41.4 to 48.7 (p = 0.0254). CONCLUSIONS: Interim findings suggest high retention, significant reductions in heroin use and improvements in mental health among participants retained on methadone maintenance therapy for 6 months. Further research into longer term outcomes and the reasons contributing to these changes would strengthen recommendations for the scale-up of methadone maintenance therapy in South Africa.

Using a programmatic mapping approach to plan for HIV prevention and harm reduction interventions for people who inject drugs in three South African cities.

BACKGROUND: Stigma, criminalisation and a lack of data on drug use contribute to the "invisibility" of people who inject drugs (PWID) and make HIV prevention and treatment service delivery challenging. We aimed to confirm locations where PWID congregate in Cape Town, eThekwini and Tshwane (South Africa) and to estimate PWID population sizes within selected electoral wards in these areas to inform South Africa's first multi-site HIV prevention project for PWID. METHODS: Field workers (including PWID peers) interviewed community informants to identify suspected injecting locations in selected electoral wards in each city and then visited these locations and interviewed PWID. Interviews were used to gather information about the accessibility of sterile injecting equipment, location coordinates and movement patterns. We used the Delphi method to obtain final population size estimates for the mapped wards based on estimates from wisdom of the crowd methods, the literature and programmatic data. RESULTS: Between January and April 2015, we mapped 45 wards. Tshwane teams interviewed 39 PWID in 12 wards, resulting in an estimated number of accessible PWID ranging from 568 to 1431. In eThekwini, teams interviewed 40 PWID in 15 wards with an estimated number of accessible PWID ranging from 184 to 350. The Cape Town team interviewed 61 PWID in 18 wards with an estimated number of accessible PWID ranging between 398 and 503. Sterile needles were only available at one location. Almost all needles were bought from pharmacies. Between 80 and 86% of PWID frequented more than one location per day. PWID who reported movement visited a median of three locations a day. CONCLUSIONS: Programmatic mapping led by PWID peers can be used effectively to identify and reach PWID and build relationships where access to HIV prevention commodities for PWID is limited. PWID reported limited access to sterile injecting equipment, highlighting an important HIV prevention need. Programmatic mapping data show that outreach programmes should be flexible and account for the mobile nature of PWID populations. The PWID population size estimates can be used to develop service delivery targets and as baseline measures.