Search

In several studies of antiretroviral treatment (ART) programs for persons with human immunodeficiency virus infection, investigators have reported that there has been a higher rate of loss to follow-up (LTFU) among patients initiating ART in recent years than among patients who initiated ART during earlier time periods. This finding is frequently interpreted as reflecting deterioration of patient retention in the face of increasing patient loads. However, in this paper we demonstrate by simulation that transient gaps in follow-up could lead to bias when standard survival analysis techniques are applied. We created a simulated cohort of patients with different dates of ART initiation. Rates of ART interruption, ART resumption, and mortality were assumed to remain constant over time, but when we applied a standard definition of LTFU, the simulated probability of being classified LTFU at a particular ART duration was substantially higher in recently enrolled cohorts. This suggests that much of the apparent trend towards increased LTFU may be attributed to bias caused by transient interruptions in care. Alternative statistical techniques need to be used when analyzing predictors of LTFU--for example, using "prospective" definitions of LTFU in place of "retrospective" definitions. Similar considerations may apply when analyzing predictors of LTFU from treatment programs for other chronic diseases.

OBJECTIVES: Models of care utilizing task shifting and decentralization are needed to support growing ART programmes. We compared patient outcomes between a doctor-managed clinic and a nurse-managed down-referral site in Cape Town South Africa. METHODS: Analysis included all adults who initiated ART between 2002 and 2011 within a large public sector ART service. Stable patients were eligible for down-referral. Outcomes [mortality loss to follow-up (LTFU) virologic failure] were compared under different models of care using proportional hazards models with time-dependent covariates. RESULTS: Five thousand seven hundred and forty-six patients initiated ART and over 5 years 41% (n = 2341) were down-referred; the median time on ART before down-referral was 1.6 years (interquartile range 0.9-2.6). The nurse-managed down-referral site reported lower crude rates of mortality LTFU and virologic failure compared with the doctor-managed clinic. After adjustment there was no difference in the risk of mortality or virologic failure by model of care. However patients who were down-referred were more likely to be LTFU than those retained at the doctor-managed site (adjusted hazard ratio 1.36; 95% CI 1.09-1.69). Increased levels of LTFU in the nurse-managed vs. doctor-managed service were observed in subgroups of male patients those with advanced disease at initiation and those who started ART in the early years of the programme. CONCLUSION: Reorganization of ART maintenance by down-referral to nurse-managed services is associated with programme outcomes similar to those achieved using doctor-driven primary care services. Further research is necessary to identify optimal models of care to support long-term retention of patients on ART in resource-limited settings. (c) 2014 John Wiley & Sons Ltd.

Objective The ambitious “90-90-90 treatment targets require innovative models of care to support quality ART delivery. While evidence for differentiated models of ART delivery is growing there are few data on the feasibility of scale-up. We describe the implementation of the Adherence Club (AC) model across the Cape Metro health district in Cape Town South Africa between January 2011 and March 2015. Methods Using data from monthly aggregate AC monitoring reports and electronic monitoring systems for the district cohort we report on the number of facilities offering ACs and the number of patients receiving ART care in the AC model. Results Between January 2011 and March 2015 the AC programme expanded to reach 32425 patients in 1308 ACs at 55 facilities. The proportion of the total ART cohort retained in an AC increased from 7.3% at the end of 2011 to 25.2% by March 2015. The number of facilities offering ACs also increased and by the end of the study period 92.3% of patients were receiving ART at a facility that offered ACs. During this time the overall ART cohort doubled from 66616 to 128697 patients. The implementation of the AC programme offset this increase by 51%. Conclusions ACs now provide ART care to more than 30000 patients. Further expansion of the model will require additional resources and support. More research is necessary to determine the outcomes and quality of care provided in ACs and other differentiated models of ART delivery especially when implemented at scale.

Emerging research has provided support for the use of the Kessler Psychological Distress Scales in developing countries; however, this research has yet to be extended to southern Africa. This study sought to evaluate the performance of the Kessler scales in screening for depression and anxiety disorders in the South African population. The scales along with the Composite International Diagnostic Interview (CIDI) were included in the South African Stress and Health study, a nationally representative household survey. The K10/K6 demonstrated moderate discriminating ability in detecting depression and anxiety disorders in the general population; evidenced by area under the receiver operating curves of 0.73 and 0.72 respectively. However, both scales failed to meet our acceptability criteria of high sensitivity and high positive predictive value. Examinations of differences in responding by race/ethnicity revealed that the K10/K6 [Kessler Psychological Distress Scale 10‐item (K10) and the abbreviated six‐item (K6)] had significantly lower discriminating ability with respect to depression and anxiety disorders among the Black group (0.71) than among the combined minority race/ethnic groups of White, Colored, and Indian/Asian (0.78; p = 0.016). The difference in time period assessed on the K10/K6 (past 30 days) versus the CIDI (past 12 months) was a notable limitation of this study. Additional validation studies using clinician diagnostic instruments are recommended. Copyright © 2011 John Wiley & Sons, Ltd.

There are few population-level insights into the use of traditional healers and other forms of alternative care for the treatment of common mental disorders in sub-Saharan Africa. We examined the extent to which alternative practitioners are consulted, and predictors of traditional healer visits. A national survey was conducted with 3651 adult South Africans between 2002 and 2004, using the World Health Organization Composite International Diagnostic Interview (CIDI) to generate DSM-IV diagnoses for common mood, anxiety, and substance use disorders. A minority of participants with a lifetime DSM-IV diagnosis obtained treatment from Western (29%) or alternative (20%) practitioners. Traditional healers were consulted by 9% of the respondents and 11% consulted a religious or spiritual advisor. Use of traditional healers in the full sample was predicted by older age, black race, unemployment, lower education, and having an anxiety or a substance use disorder. Alternative practitioners, including traditional healers and religious advisors, appear to play a notable role in the delivery of mental health care in South Africa.

Background: The epidemiology of DSM-IV intermittent explosive disorder (IED) is not well characterized in developing country settings. In South Africa, given the high rates of violence and trauma, there is particular interest in traumatic exposures as potential risk factors for IED. Methods: We examined the prevalence and predictors of IED in a nationally representative sample of 4,351 South African adults. IED and other diagnoses based on DSM-IV criteria were assessed using the World Health Organization Composite International Diagnostic Interview (CIDI). A 28-item scale was constructed to measure exposure to traumatic events. Results: Overall, 2.0% of participants (95% CI: 0–4.9%) fulfilled criteria for the narrow definition of IED, and 9.5% (95% CI: 6.6–12.3%) fulfilled criteria for the broad definition of IED. Individuals with IED experienced high rates of comorbid anxiety, mood and substance use disorders compared to non-IED participants. In multivariate analysis, a diagnosis of IED was associated with Caucasian and mixed-race ethnicity, psychiatric comorbidity and exposure to multiple traumatic events. Conclusion: These data suggest a relatively high prevalence of IED in South Africa. By reducing violence and trauma, and by providing appropriate psychological support to trauma survivors, we may be able to reduce rates of IED.

The South African population is exposed to multiple forms of violence. Using nationally representative data from 4,351 South African adults, this study examined the relative risk for posttraumatic stress disorder (PTSD) associated with political, domestic, criminal, sexual and other (miscellaneous) forms of assault in the South African population. Violence exposure was assessed using the ‘worst event’ list from the WHO’s Composite International Diagnostic Interview (CIDI) and a separate questionnaire assessing experiences of human rights abuses, and lifetime PTSD was assessed according to the APA’s Diagnostic and Statistical Manual of Mental Disorders criteria using the CIDI. Findings indicated that over a third of the South African population has been exposed to some form of violence. The most common forms of violence experienced by men were criminal and miscellaneous assaults, while physical abuse by an intimate partner, childhood physical abuse and criminal assaults were most common for women. Among men, political detention and torture were the forms of violence most strongly associated with a lifetime diagnosis of PTSD, while rape had the strongest association with PTSD among women. At a population level, criminal assault and childhood abuse were associated with the greatest number of PTSD cases among men, while intimate partner violence was associated with the greatest number of PTSD cases among women. Recommendations for mental health service provision in South Africa and for future research on the relative risk for PTSD are offered.

There is substantial evidence from developed countries that lower socioeconomic status (SES) is associated with increased occurrence of mental illness, and growing interest in the role of social support and social capital in mental health. However, there are few data on social determinants of mental health from low- and middle-income nations. We examined the association between psychological distress and SES, social support and bonding social capital in a nationally-representative sample of South African adults. As part of a national survey of mental health, a probability sample of 4351 individuals was interviewed between 2002 and 2004. Non-specific psychological distress was measured using the Kessler K-10 scale. SES was assessed from an aggregate of household income, individual educational and employment status, and household material and financial resources. Social support, bonding social capital and traumatic life events were measured using multi-item scales. The mean age in the sample was 37 years and 76% of participants were black African. Measures of SES and social capital were inversely associated (p < 0.001). Both recent and traumatic life events were more common among individuals with low levels of SES and social support. After adjusting for participant demographic characteristics and life events, high levels of psychological distress were most common among individuals with lower levels of SES and social capital. There was no independent association between levels of social support and psychological distress. The occurrence of recent life events appeared to partially mediate the association between SES and psychological distress (p = 0.035) but not the association involving social capital (p = 0.40). These data demonstrate persistent associations between levels of SES, social capital and psychological distress in South Africa. The increased frequency of recent life events appears to only partially explain higher levels of psychological distress among individuals of lower SES. Additional research is required to understand the temporality of this association as well as mechanisms through which SES and social capital influence mental health in low- and middle-income settings where high levels of poverty and trauma may contribute to excess burden of mental illness.

Antiretroviral therapy (ART) initiation is now recommended irrespective of CD4 count. However data on the relationship between CD4 count at ART initiation and loss to follow-up (LTFU) are limited and conflicting.We conducted a cohort analysis including all adults initiating ART (2008-2012) at three public sector sites in South Africa. LTFU was defined as no visit in the 6 months before database closure. The Kaplan-Meier estimator and Cox's proportional hazards models examined the relationship between CD4 count at ART initiation and 24-month LTFU. Final models were adjusted for demographics, year of ART initiation, programme expansion and corrected for unascertained mortality.Among 17 038 patients, the median CD4 at initiation increased from 119 (IQR 54-180) in 2008 to 257 (IQR 175-318) in 2012. In unadjusted models, observed LTFU was associated with both CD4 counts100 cells/μL and CD4 counts ≥300 cells/μL. After adjustment, patients with CD4 counts ≥300 cells/μL were 1.35 (95% CI 1.12 to 1.63) times as likely to be LTFU after 24 months compared to those with a CD4 150-199 cells/μL. This increased risk for patients with CD4 counts ≥300 cells/μL was largest in the first 3 months on treatment. Correction for unascertained deaths attenuated the association between CD4 counts100 cells/μL and LTFU while the association between CD4 counts ≥300 cells/μL and LTFU persisted.Patients initiating ART at higher CD4 counts may be at increased risk for LTFU. With programmes initiating patients at higher CD4 counts, models of ART delivery need to be reoriented to support long-term retention.

Introduction : Increasingly, there is a need for health authority scale up of successfully piloted differentiated models of antiretroviral therapy (ART) delivery. However, there is a paucity of evidence on system-wide outcomes after scale-up. In the Cape Town health district, stable adult patients were referred to adherence clubs (ACs) – a group model of ART delivery with five visits per year. By the end of March 2015, over 32,000 ART patients were in an AC. We describe patient outcomes of a representative sample of AC patients during this scale-up. Methods : Patients enrolled in an AC at non-research supported sites between 2011 and 2014 were eligible for analysis. We sampled 10% of ACs ( n = 100) in quintets proportional to the number of ACs at each facility, linking each patient to city-wide laboratory and service access data to validate retention and virologic outcomes. We digitized registers and used competing risks regression and cross-sectional methods to estimate outcomes: mortality, transfers, loss to follow-up (LTFU) and viral load suppression (≤400 copies/mL). Predictors of LTFU and viral rebound were assessed using Cox proportional hazards models. Results : Of the 3216 adults contributing 4019 person years of follow-up (89% in an AC, median 1.1 years), 70% were women. Retention was 95.2% (95% CI, 94.0-96.4) at 12 months and 89.3% (95% CI, 87.1-91.4) at 24 months after AC enrolment. In the 13 months prior to analysis closure, 88.1% of patients had viral load assessments and of those, viral loads ≤400 copies/mL were found in 97.2% (95% CI, 96.5-97.8) of patients. Risk of LTFU was higher in younger patients and in patients accessing ART from facilities with larger ART cohorts. Risk of viral rebound was higher in younger patients, those that had been on ART for longer and patients that had never sent a buddy to collect their medication. Conclusions : This is the first analysis reporting patient outcomes after health authorities scaled-up a differentiated care model across a high burden district. The findings provide substantial reassurance that stable patients on long-term ART can safely be offered care options, which are more convenient to patients and less burdensome to services. Keywords HIV; antiretroviral therapy; models of care; adherence club; retention; program outcomes (Published: 21 July 2017) Tsondai PR et al. Journal of the International AIDS Society 2017, 20 :21649 http://www.jiasociety.org/index.php/jias/article/view/21649 | http://dx.doi.org/10.7448/IAS.20.5.21649

OBJECTIVE Little is known about the evolution of program outcomes associated with rapid expansion of antiretroviral therapy (ART) in resource-limited settings. We describe temporal trends and assess associations with mortality and loss to follow-up (LTFU) in HIV cohorts from 8 countries. DESIGN Multicohort study using electronic health records. METHODS Analysis included adults in 25 Medecins Sans Frontieres-supported programs initiating ART between 2001 and 2011. Kaplan-Meier methods were used to describe time to death or LTFU and proportional hazards models to assess associations with individual and program factors. RESULTS ART programs (n = 132,334, median age 35 years, 61% female) expanded rapidly. Whereas 36-month mortality decreased from 22% to 9% over 5 years (≤2003-2008), LTFU increased from 11% to 21%. Hazard ratios (HR) of early (0-12 months) and late (12-72 months) LTFU increased over time, from 1.09 [95% confidence interval (CI): 0.83 to 1.43] and 1.04 (95% CI: 0.84 to 1.28) in 2004 to 3.29 (95% CI: 2.42 to 4.46) and 6.86 (95% CI: 4.94 to 9.53) in 2011, compared with 2001-2003. Rate of program expansion was strongly associated with increased early and late LTFU, adjusted HR (aHR) = 2.31 (95% CI: 1.78 to 3.01) and HR = 2.29 (95% CI: 1.76 to 2.99), respectively, for ≥125 vs. 0-24 patients per month. Larger program size was associated with decreased early mortality (aHR = 0.49, 95% CI: 0.31 to 0.77 for ≥20,000 vs.

In this study, the effects on young adolescent sexual risk behaviour of teacher-led school HIV prevention programmes were examined in two sites in South Africa (Cape Town and Mankweng) and one site in Tanzania (Dar es Salaam). In Cape Town, Dar es Salaam and Mankweng, 26, 24 and 30 schools, respectively, were randomly allocated to intervention or comparison groups. Primary outcomes were delayed sexual debut and condom use among adolescents aged 12-14 years (grade 8 in South Africa and grades 5 and 6 in Tanzania). In total, 5352, 4197 and 2590 students participated at baseline in 2004 in Cape Town, Dar es Salaam and Mankweng, respectively, and 73% (n = 3926), 88% (n = 3693) and 83% (n = 2142) were retained 12-15 months later. At baseline, 13% (n = 224), 5% (n = 100) and 17% (n = 164) had had their sexual debut, and 44% (n = 122), 20% (n = 17) and 37% (n = 57) of these used a condom at last sex, respectively. In Dar es Salaam, students in the intervention were less likely to have their sexual debut during the study (OR 0.65, 95% CI 0.48-0.87). In Cape Town and Mankweng, the intervention had no impact. The current interventions were effective at delaying sexual debut in Dar es Salaam but not in South Africa, where they need to be supplemented with programmes to change the environment in which adolescents make decisions about sexual behaviour.

No abstract available. (Published: 1 December 2016) Citation: Grimsrud A et al. Journal of the International AIDS Society 2016, 19 :21484 http://www.jiasociety.org/index.php/jias/article/view/21484 | http://dx.doi.org/10.7448/IAS.19.1.21484

Objective To examine the impact of different definitions of loss to follow-up (LTFU) on estimates of program outcomes in cohort studies of patients on antiretroviral therapy (ART). Study Design and Setting We examined the impact of different definitions of LTFU using data from the International Epidemiological Databases to Evaluate AIDS—Southern Africa. The reference approach, Definition A, was compared with five alternative scenarios that differed in eligibility for analysis and the date assigned to the LTFU outcome. Kaplan–Meier estimates of LTFU were calculated up to 2 years after starting ART. Results Estimated cumulative LTFU were 14% and 22% at 12 and 24 months, respectively, using the reference approach. Differences in the proportion LTFU were reported in the alternative scenarios with 12-month estimates of LTFU varying by up to 39% compared with Definition A. Differences were largest when the date assigned to the LTFU outcome was 6 months after the date of last contact and when the site-specific definition of LTFU was used. Conclusion Variation in the definitions of LTFU within cohort analyses can have an appreciable impact on estimated proportions of LTFU over 2 years of follow-up. Use of a standardized definition of LTFU is needed to accurately measure program effectiveness and comparability between programs.

Objective: Atypical sequences of drug use progression are thought to have important implications for the development of substance dependence. The extent to which this assumption holds for South African populations is unknown. This paper attempts to address this gap by examining the prevalence and correlates of atypical patterns of drug progression among South Africans. Method: Data on substance use and other mental health disorders from a nationally representative sample of 4351 South Africans were analysed. Weighted cross tabulations were used to estimate prevalence and correlates of atypical patterns of drug use progression. Results: Overall, 12.2% of the sample reported atypical patterns of drug use progression. The most common violation was the use of extra-medical drugs prior to alcohol and tobacco. Gender was significantly associated with atypical patterns of drug use with the risk pattern varying by the type of drug. None of the anxiety or mood disorders were associated with atypical patterns of use. Atypical patterns of drug use were not associated with increased risk for a lifetime substance use disorder. Conclusion: Atypical patterns of drug use initiation seem more prevalent in South Africa compared to other countries. The early use of extra-medical drugs is common, especially among young women. Drug availability and social environmental factors may influence patterns of drug use. The findings have important implications for prevention initiatives and future research.Key words: Substance use; Gateway violations; Mental disorders; South Africa

Based on a statistical analysis of 111 facilities in Africa, Asia, and Latin America, Benjamin Chi and colleagues develop a standard loss-to-follow-up (LTFU) definition that can be used by HIV antiretroviral programs worldwide., Background Although patient attrition is recognized as a threat to the long-term success of antiretroviral therapy programs worldwide, there is no universal definition for classifying patients as lost to follow-up (LTFU). We analyzed data from health facilities across Africa, Asia, and Latin America to empirically determine a standard LTFU definition. Methods and Findings At a set “status classification” date, patients were categorized as either “active” or “LTFU” according to different intervals from time of last clinic encounter. For each threshold, we looked forward 365 d to assess the performance and accuracy of this initial classification. The best-performing definition for LTFU had the lowest proportion of patients misclassified as active or LTFU. Observational data from 111 health facilities—representing 180,718 patients from 19 countries—were included in this study. In the primary analysis, for which data from all facilities were pooled, an interval of 180 d (95% confidence interval [CI]: 173–181 d) since last patient encounter resulted in the fewest misclassifications (7.7%, 95% CI: 7.6%–7.8%). A secondary analysis that gave equal weight to cohorts and to regions generated a similar result (175 d); however, an alternate approach that used inverse weighting for cohorts based on variance and equal weighting for regions produced a slightly lower summary measure (150 d). When examined at the facility level, the best-performing definition varied from 58 to 383 d (mean = 150 d), but when a standard definition of 180 d was applied to each facility, only slight increases in misclassification (mean = 1.2%, 95% CI: 1.0%–1.5%) were observed. Using this definition, the proportion of patients classified as LTFU by facility ranged from 3.1% to 45.1% (mean = 19.9%, 95% CI: 19.1%–21.7%). Conclusions Based on this evaluation, we recommend the adoption of ≥180 d since the last clinic visit as a standard LTFU definition. Such standardization is an important step to understanding the reasons that underlie patient attrition and establishing more reliable and comparable program evaluation worldwide. Please see later in the article for the Editors' Summary, Editors' Summary Background Since 1981, AIDS has killed more than 25 million people, and about 33 million people (mostly in low- and middle-income countries) are now infected with HIV, the virus that causes AIDS. Because HIV destroys immune system cells, HIV-positive individuals are very susceptible to other infections, and, early in the AIDS epidemic, most HIV-infected people died within ten years of contracting the virus. Then, in 1996, antiretroviral therapy (ART)—a cocktail of drugs that keeps HIV in check—became available. For people living in developed countries, HIV infection became a chronic condition. However, for people living in developing countries, ART was prohibitively expensive, and HIV/AIDS remained a fatal illness. In 2003, this situation was declared a global emergency, and governments, international agencies, and funding bodies began to implement plans to increase ART coverage in resource-limited countries. By the end of 2009, more than a third of people living in these countries who needed ART were receiving it. Why Was This Study Done? Because ART does not cure HIV infection, patients have to take antiretroviral drugs regularly for the rest of their lives. But in some ART programs, more than a third of patients are lost to follow-up (LTFU), that is, they stop coming for treatment, within three years of starting treatment. Patient attrition threatens the success of ART programs, but to understand why it occurs, a standardized method for classifying patients as LTFU is essential. Classification of patients as LTFU relies on an interval-based definition of LTFU. That is, a patient who fails to attend a clinic within a specified interval after a previous visit is classified as LTFU. If this interval is too short, although many patients will be accurately identified as LTFU, there will be a high false-positive rate—some patients classified as LTFU will actually return to the clinic later. Conversely, if the interval is too long, some patients who are truly LTFU will be misclassified as active (a false-negative classification). In this study, the researchers analyzed data from health facilities across Africa, Asia, and Latin America to determine a standard definition for LTFU that minimizes patient misclassification. What Did the Researchers Do and Find? Using data collected from 111 health facilities by the International Epidemiologic Databases to Evaluate AIDS (IeDEA) Collaboration, the researchers categorized patients receiving ART at each facility at a “status classification” date (12 months before the facility's last data export to IeDEA) as active or LTFU using a range of intervals (thresholds) since their last clinic visit. For example, for a test interval of 200 days, patients who had not revisited the clinic within 200 days of their previous visit at the status classification date were classified as LTFU; patients who had revisited the clinic were classified as active. The researchers then looked forward 365 days from the status classification date to assess the performance and accuracy of these classifications. So, a “LTFU” patient who visited the clinic anytime during the year after the status classification date represented a false-positive classification, and an “active” patient who did not return within the ensuing year represented a false-negative classification. When data from all the facilities were pooled, a threshold of 180 days produced the fewest misclassifications. At the facility level, the best-performing threshold for patient classification ranged from 58 to 383 days (with an average of 150 days), but application of a 180-day threshold to individual facilities only slightly increased misclassifications. Finally, using the 180-day threshold, average LTFU at individual facilities was 19.9%. What Do These Findings Mean? Based on these findings, the researchers recommend that the standard definition for LTFU should be when it has been 180 days or more since the patient's last clinic visit. Given the wide range of best-performing definitions among facilities, however, they recognize that local, national, or regional definitions of LTFU may be more appropriate in certain contexts. Adoption of a standard definition for LTFU, the researchers note, should facilitate harmonization of monitoring and evaluation of ART programs across the world and should help to identify “best practices” associated with low LTFU rates. Importantly, it should also provide the necessary framework for research designed to improve patient retention in ART programs, thereby helping to maximize and sustain the health gains from HIV treatment programs. Additional Information Please access these websites via the online version of this summary at http://dx.doi.org/10.1371/journal.pmed.1001111. Information is available from the US National Institute of Allergy and Infectious Diseases on HIV infection and AIDS NAM/aidsmap provides basic information about HIV/AIDS and summaries of recent research findings on HIV care and treatment Information is available from Avert, an international AIDS charity on many aspects of HIV/AIDS, including information on HIV/AIDS treatment and care and on universal access to AIDS treatment (in English and Spanish) The World Health Organization provides information about universal access to AIDS treatment (in several languages) Information about the IeDEA Collaboration available Patient stories about living with HIV/AIDS are available through Avert and through the charity website Healthtalkonline

Little is known about the temporal impact of the rapid scale-up of large antiretroviral therapy (ART) services on programme outcomes. We describe patient outcomes [mortality, loss-to-follow-up (LTFU) and retention] over time in a network of South African ART cohorts.Cohort analysis utilizing routinely collected patient data.Analysis included adults initiating ART in eight public sector programmes across South Africa, 2002-2007. Follow-up was censored at the end of 2008. Kaplan-Meier methods were used to estimate time to outcomes, and proportional hazards models to examine independent predictors of outcomes.Enrolment (n = 44 177, mean age 35 years; 68% women) increased 12-fold over 5 years, with 63% of patients enrolled in the past 2 years. Twelve-month mortality decreased from 9% to 6% over 5 years. Twelve-month LTFU increased annually from 1% (2002/2003) to 13% (2006). Cumulative LTFU increased with follow-up from 14% at 12 months to 29% at 36 months. With each additional year on ART, failure to retain participants was increasingly attributable to LTFU compared with recorded mortality. At 12 and 36 months, respectively, 80 and 64% of patients were retained.Numbers on ART have increased rapidly in South Africa, but the programme has experienced deteriorating patient retention over time, particularly due to apparent LTFU. This may represent true loss to care, but may also reflect administrative error and lack of capacity to monitor movements in and out of care. New strategies are needed for South Africa and other low-income and middle-income countries to improve monitoring of outcomes and maximize retention in care with increasing programme size.

Introduction : Community-based models of antiretroviral therapy (ART) delivery have been recommended to support ART expansion and retention in resource-limited settings. However, the evidence base for community-based models of care is limited. We describe the implementation of community-based adherence clubs (CACs) at a large, public-sector facility in peri-urban Cape Town, South Africa. Methods : Starting in May 2012, stable ART patients were down-referred from the primary care community health centre (CHC) to CACs. Eligibility was based on self-reported adherence, >12 months on ART and viral suppression. CACs were facilitated by four community health workers and met every eight weeks for group counselling, a brief symptom screen and distribution of pre-packed ART. The CACs met in community venues for all visits including annual blood collection and clinical consultations. CAC patients could send a patient-nominated treatment supporter (“buddy”) to collect their ART at alternate CAC visits. Patient outcomes [mortality, loss to follow-up and viral rebound (>1000 copies/ml)] during the first 18 months of the programme are described using Kaplan–Meier methods. Results and Discussion : From June 2012 to December 2013, 74 CACs were established, each with 25–30 patients, providing ART to 2133 patients. CAC patients were predominantly female (71%) and lived within 3 km of the facility (70%). During the analysis period, 9 patients in a CAC died (

This letter to the editor discusses a study on the outcomes of 44177 adults in South Africa approximately 10% of all those starting public sector antiretroviral therapy (ART). The study provides insight into the effectiveness of a large national ART program and has implications for other low-income and middle-income countries working toward universal ART access.

Objective: Growing evidence suggests high levels of comorbidity between hypertension and mental illness but there are few data from low- and middle-income countries. We examined the association between hypertension and depression and anxiety in South Africa. METHODS: Data come from a nationally-representative survey of adults (n = 4351). The Composite International Diagnostic Interview was used to measure DSM-IV mental disorders during the previous 12-months. The relationships between self-reported hypertension and anxiety disorders, depressive disorders and comorbid anxiety-depression were assessed after adjustment for participant characteristics including experience of trauma and other chronic physical conditions. RESULTS: Overall 16.7% reported a previous medical diagnosis of hypertension, and 8.1% and 4.9% were found to have a 12-month anxiety or depressive disorder, respectively. In adjusted analyses, hypertension diagnosis was associated with 12-month anxiety disorders [Odds ratio (OR) = 1.55, 95% Confidence interval (CI) = 1.10-2.18] but not 12-month depressive disorders or 12-month comorbid anxiety-depression. Hypertension in the absence of other chronic physical conditions was not associated with any of the 12-month mental health outcomes (p-values all