Exploring HIV status as a mediator in the relationship of psychological distress with socio-demographic and health related factors in South Africa: findings from the 2012 nationally representative population-based household survey.

BACKGROUND: Psychological distress as measured by mental disorders like depression and anxiety is more prevalent in people living with HIV (PLHIV) than in the general population. However, the relationship between mental disorders and HIV is complex and bidirectional. Improved understanding of the relationship between mental disorders and HIV is important for designing interventions for this group. This paper explores the interrelationships of psychological distress with HIV and associated socio-demographic and health-related factors. METHODS: This secondary data analysis used the 2012 South African population-based household survey on HIV collected using a cross-sectional multi-stage stratified cluster sampling design. Generalized structural equation modelling (G-SEM) path analysis was used to explore the direct and indirect relationships of socio-demographic, health and HIV-related factors with psychological distress as measured by Kessler 10 scale using HIV status as a moderator variable. RESULTS: A total of 20,083 participants were included in the study, 21.7% reported psychological distress, of whom (32.6%) were HIV positive. In the final path model with HIV status as a moderator, psychological distress was significantly more likely among age group 25-49 years (AOR: 1.4 [95% CI 1.3-1.6]), age 50 years and older, (AOR: 1.4 [95% CI 1.2-1.6]), females (AOR: 1.6 [95% CI 1.4-1.8]), high risk drinkers (AOR: 1.9 [1.6-2.2]) hazardous drinkers (AOR: 4.4 [95% CI 3.1-6.3]), ever tested for HIV (AOR: 1.2 [95% CI 1.1-1.3]). Psychological distress was significantly less likely among the married [AOR: 0.8 (0.7-0.9)], other race groups [AOR: 0.5 (0.5-0.6)], those with secondary level education (AOR: 0.9 [95% CI 0.8-0.9]), and tertiary level education (AOR: 0.7 [95% CI 0.6-0.9]), those from rural informal [AOR: 0.8 (0.7-0.9)], and rural formal [AOR: 0.8 (0.7-0.9)] areas and those who rated their health as excellent/good [AOR: 0.4 (0.4-0.5)]. CONCLUSION: The findings highlight the importance of designing tailored interventions targeted at psychological distress among PLHIV especially the elderly, females, those with no education and / or low education attainment and those residing in informal urban areas.

HIV Prevalence and Associated Factors Among Men in South Africa 30 Years into the Epidemic: The Fifth Nationwide Cross-Sectional Survey.

We investigated HIV prevalence and associated factors among men ≥ 15 years in South Africa using data from a 2017 nationwide cross-sectional survey. HIV prevalence was 10.5% among 6 646 participants. Prevalence increased from 4.1% in the younger men (15-24 years), 12.5% in young men (25-34 years) to 12.7% in older men (≥ 35 years). Odds of being infected with HIV were lower among younger men who had secondary level education and those who reported poor/fair self-rated health. Young and older men of other race groups had lower odds of HIV infection. Odds of infection were lower among young men who had moderate/high exposure to HIV communication programmes. Men not aware of their HIV status had higher odds of HIV infection, including older men who never married. Improved access to education, behavioral change programmes, and awareness of HIV status are necessary to reduce the risk of HIV infection among Black African men.

Association Between ART Adherence and Mental Health: Results from a National HIV Sero-Behavioural Survey in South Africa.

This paper assesses the levels of antiretroviral treatment (ART) adherence and mental health distress among study participants in a national behavioural HIV-sero prevalence study South Africa. The study was a cross-sectional population-based multi-stage stratified cluster random survey, (SABSSM V, 2017). Structured questionnaires were used to collect information on socio-demographics, HIV knowledge, perceptions, HIV testing and HIV treatment history. Study participants were tested for HIV infection, antiretroviral use, viral suppression, and ART drug resistance. A total of 2155 PLHIV aged 15 years or older who were on ART were included in the study. Incidence of either moderate or severe mental health distress was 19.7%. Self-reported ART adherence among study participants with no, mild, moderate, or severe mental distress was 82%, 83%, 86% and 78%, respectively. The adjusted odds ratio for ART non-adherence was 0.58 (95% CI 0.24; 1.40) for mild mental distress, 0.82 (95% CI 0.35; 1.91) for moderate mental distress and 2.19 (95% CI 1.14; 4.19) for severe mental distress groups compared to the no mental health distress group. The other factors that were associated with ART non-adherence in adjusted models included education level, alcohol use and province/region of residence. The study revealed that mental health remains a challenge to ART adherence in South Africa. To improve ART adherence, HIV continuum of care programs should include screening for mental health among people living with HIV.

Factors associated with age-disparate sexual partnerships among males and females in South Africa: a multinomial analysis of the 2012 national population-based household survey data.

BACKGROUND: In South Africa, age-disparate to sexual relationships where the age difference between partners is 5 years or greater is an important contributor to the spread of HIV. However, little is known about the predictors of age-disparate sexual relationships. This study investigates factors associated with age-disparate sexual relationships among males and females in South Africa. METHODS: This analysis used the 2012 nationally representative population-based household survey conducted using multi-stage stratified cluster sampling design. Multivariate multinomial stepwise logistic regression models were used to determine factors associated with age-disparate sexual relationships. RESULTS: Of 15,717 participants, who responded to the question on age-disparate sexual relationships, 62% males versus 58.5% females had partners within 5 years older or younger, 34.7% of males versus 2.7% of females had partners at least 5 years younger and 3.3% of males versus 38.8% of females had partners at least 5 years older. Among both males and females predictors of age-disparate sexual relationships were education, employment, socioeconomic status, locality type, age at sexual debut, condom use at last sexual act and HIV status while race was also an additional predictor for among females. Including unprotected sex and risk of HIV infection among adolescent girls and young women with sexual partners 5 years older their age. CONCLUSIONS: This study suggest that there is a need for reprioritizing the combination of behavioural and structural interventions to address risky sexual behaviours, unprotected sex, poverty, limited education and gender inequitable norms related to age-disparate sexual relationships and HIV.

Socio-economic differences in the uptake of HIV testing and associated factors in South Africa.

BACKGROUND: Improved understanding of barriers to HIV testing is important for reaching the first of the UNAIDS 90-90-90 targets, which states that 90% of HIV positive individuals ought to know their HIV status. This study examined socio-economic status (SES) differences in HIV testing uptake and associated factors among youth and adults 15 years and older in South Africa. METHODS: This study used data from a national cross-sectional, population-based household survey conducted in 2017 using a multi-stage sampling design. A composite SES score was created using multiple correspondence analyses of household assets; households were classified into wealth quintiles and dichotomised into low SES/poorest (lowest 3 quintiles) and high SES/less-poor (highest 2 quintiles). Bivariate and multivariate logistic regression models were used to examine factors associated with the uptake of HIV testing in low and high SES households. RESULTS: HIV testing uptake was 73.8 and 76.7% among low and high SES households, respectively, both of which were below the first 90 targets. Among both low and high SES households, increased HIV testing uptake was significantly associated with females than males. The decreased likelihood was significantly associated with residing in rural formal areas than urban areas, those with no education or low levels of educational attainment and alcohol drinkers among low SES households. Whites and Indians/Asians had a decreased likelihood than Black Africans in high SES households. CONCLUSIONS: HIV testing interventions should target males, residents in rural formal areas, those with no or low education and those that consume alcohol in low SES households, including Whites and Indians/Asians from high SES households in order to bridge socio-economic disparities in the uptake of HIV testing. This should entail expanding HIV testing beyond traditional centres for voluntary counselling and testing through outreach efforts, including mobile testing and home-based testing.

Towards achieving the 90-90-90 HIV targets: results from the south African 2017 national HIV survey.

BACKGROUND: Measuring progress towards the Joint United Nations Programme on HIV/AIDS (UNAIDS) 90-90-90 treatment targets is key to assessing progress towards turning the HIV epidemic tide. In 2017, the UNAIDS model estimated that 75% of people living with HIV (PLHIV) globally knew their HIV positive status, 79% of those who knew their status were on antiretroviral therapy (ART), and 81% of those who knew their HIV status and were on ART had a suppressed viral load. The fifth South African national HIV sero-behavioural survey collected nationally representative data that enabled the empirical estimation of these 90-90-90 targets for the country stratified by a variety of key factors. METHODS: To evaluate progress towards achievement of the 90-90-90 targets for South Africa, data obtained from a national, representative, cross-sectional population-based multi-stage stratified cluster random survey conducted in 2017 were analysed. The Fifth South African National HIV Prevalence, Incidence, Behaviour and Communication Survey (SABSSM V), collected behavioural and biomarker data from individuals residing in households from 1000 randomly selected Small Area Layers (SALs), across all nine provinces of the country. Structured questionnaires were used to collect socio-demographic data, knowledge and perceptions about HIV, and related risk behaviours. Blood samples were collected to test for HIV infection, antiretroviral use, and viral suppression (defined as < 1000 copies/ml). Weighted proportions of study participants aged 15 years and older who tested HIV positive were computed for those who reported awareness of their status (1st 90), and among these, those who were currently on ART (2nd 90) and of these, those who were virally suppressed (3rd 90). RESULTS: Among persons 15 years and older who were HIV positive, 84.8% were aware of their HIV positive status, of whom 70.7% were currently on ART, with 87.4% of these estimated to have suppressed viral load at the time of the survey. These estimates varied by sex, age, and geo-location type. Relatively higher percentages across all three indicators for women compared to men were observed: 88.7% versus 78.2% for those aware of their status, 72.3% versus 67.7% for on ART, and 89.8% versus 82.3% for viral suppression. Knowing one's positive HIV status increased with age: 74.0, 85.8, and 88.1% for age groups 15-24 years old, 25-49 years old and 50-64 years old, although for those 65 years and older, 78.7% knew their HIV positive status. A similar pattern was observed for the 2nd 90, among those who knew their HIV positive status, 51.7% of 15 to 24 year olds, 70.5% of those aged 25-49 years old, 82.9% of those aged 50-64 years old and 82.4% of those aged 65 years or older were currently on ART. Viral suppression for the above mentioned aged groups, among those who were on ART was 85.2, 87.2, 89.5, and 84.6% respectively. The 90-90-90 indicators for urban areas were 87.7, 66.5, and 87.2%, for rural settings was 85.8, 79.8, and 88.4%, while in commercial farming communities it was 56.2, 67.6 and 81.4%. CONCLUSIONS: South Africa appears to be on track to achieve the first 90 indicator by 2020. However, it is behind on the second 90 indicator with ART coverage that was ~ 20-percentage points below the target among people who knew their HIV status, this indicates deficiencies around linkage to and retention on ART. Overall viral suppression among those on ART is approaching the target at 87.4%, but this must be interpreted in the context of low reported ART coverage as well as with variation by age and sex. Targeted diagnosis, awareness, and treatment programs for men, young people aged 15-24 years old, people who reside in farming communities, and in specific provinces are needed. More nuanced 90-90-90 estimates within provinces, specifically looking at more granular sub-national level (e.g. districts), are needed to identify gaps in specific regions and to inform provincial interventions.

The Health Stigma and Discrimination Framework: a global, crosscutting framework to inform research, intervention development, and policy on health-related stigmas.

Stigma is a well-documented barrier to health seeking behavior, engagement in care and adherence to treatment across a range of health conditions globally. In order to halt the stigmatization process and mitigate the harmful consequences of health-related stigma (i.e. stigma associated with health conditions), it is critical to have an explicit theoretical framework to guide intervention development, measurement, research, and policy. Existing stigma frameworks typically focus on one health condition in isolation and often concentrate on the psychological pathways occurring among individuals. This tendency has encouraged a siloed approach to research on health-related stigmas, focusing on individuals, impeding both comparisons across stigmatized conditions and research on innovations to reduce health-related stigma and improve health outcomes. We propose the Health Stigma and Discrimination Framework, which is a global, crosscutting framework based on theory, research, and practice, and demonstrate its application to a range of health conditions, including leprosy, epilepsy, mental health, cancer, HIV, and obesity/overweight. We also discuss how stigma related to race, gender, sexual orientation, class, and occupation intersects with health-related stigmas, and examine how the framework can be used to enhance research, programming, and policy efforts. Research and interventions inspired by a common framework will enable the field to identify similarities and differences in stigma processes across diseases and will amplify our collective ability to respond effectively and at-scale to a major driver of poor health outcomes globally.

Socio-demographic and behavioural profile of women in polygamous relationships in South Africa: a retrospective analysis of the 2002 population-based household survey data.

BACKGROUND: The prevalence and effect of polygamous relationships may have serious reproductive and /or health consequences for women. In South Africa, unlike in other sub-Saharan countries, no nationwide survey has investigated polygamy except for the 2002 HIV/AIDS population-based household survey. The aim of this study was to profile socio-demographic and behavioural characteristics associated with women in polygamous relationships in South Africa using the 2002 survey data. METHODS: The survey data were collected using a multi-stage stratified cluster randomised sampling design. Bivariate and multivariate logistic regression models were used to assess the relationship between polygamy, and selected socio-demographic and behavioural factors. RESULTS: Of 1437 women who responded to the question on polygamy, 8.3% reported being in a polygamous marriage. Women in polygamous marriages were significantly less likely to have tertiary education [OR = 0.03(95% CI: 0.00-0.28), p = 0.003], to have money for food and clothes [OR = 0.12 (95% CI: 0.06-0.27), p < 0.001], to have a sexual partner five years younger [OR = 0.10 (95% CI: 0.01-0.94), p = 0.044] or sexual partner within 5 years older or younger [OR = 0.35 (95% CI: 0.13-0.991), p = 0.032]. They were also significantly more likely to have two or more sexual partners [OR = 20.42 (95% CI: 1.10-379.89), p = 0.043]. CONCLUSION: The finding that polygamy is associated with uneducated and women of low economic means, who have relationships with older men and multiple sexual partners warrants further attention. Contemporary studies on polygamy are needed in South Africa.

Determinants of HIV infection among adolescent girls and young women aged 15-24 years in South Africa: a 2012 population-based national household survey.

BACKGROUND: South Africa is making tremendous progress in the fight against HIV, however, adolescent girls and young women aged 15-24 years (AGYW) remain at higher risk of new HIV infections. This paper investigates socio-demographic and behavioural determinants of HIV infection among AGYW in South Africa. METHODS: A secondary data analysis was undertaken based on the 2012 population-based nationally representative multi-stage stratified cluster random household sample. Multivariate stepwise backward and forward regression modelling was used to determine factors independently associated with HIV prevalence. RESULTS: Out of 3092 interviewed and tested AGYW 11.4% were HIV positive. Overall HIV prevalence was significantly higher among young women (17.4%) compared to adolescent girls (5.6%). In the AGYW model increased risk of HIV infection was associated with being young women aged 20-24 years (OR = 2.30, p = 0.006), and condom use at last sex (OR = 1.91, p = 0.010), and decreased likelihood was associated with other race groups (OR = 0.06, p < 0.001), sexual partner within 5 years of age (OR = 0.53, p = 0.012), tertiary level education (OR = 0.11, p = 0.002), low risk alcohol use (OR = 0.19, p = 0.022) and having one sexual partner (OR = 0.43, p = 0.028). In the adolescent girls model decreased risk of HIV infection was associated with other race groups (OR = 0.01, p < 0.001), being married (OR = 0.07), p = 0.016], and living in less poor household (OR = 0.08, p = 0.002). In the young women's models increased risk of HIV infection was associated with condom use at last sex (OR = 2.09, p = 0.013), and decreased likelihood was associated with other race groups (OR = 0.17, p < 0.001), one sexual partner (OR = 0.6, p = 0.014), low risk alcohol use (OR = 0.17, p < 0.001), having a sexual partner within 5 years of age (OR = 0.29, p = 0.022), and having tertiary education (OR = 0.29, p = 0.022). CONCLUSION: These findings support the need to design combination prevention interventions which simultaneously address socio-economic drivers of the HIV epidemic, promote education, equity and access to schooling, and target age-disparate partnerships, inconsistent condom use and risky alcohol consumption.

Alcohol Use, Socioeconomic Status and Risk of HIV Infections.

The present study investigated the associations among alcohol use, socioeconomic status (SES), and human immunodeficiency virus (HIV) status, in the South African context. It was hypothesized that SES (predictor; measured as median split asset score) and alcohol use in the past 12 months (predictor) would interact such that current drinkers of low SES would be at an increased risk of testing HIV-positive (outcome). Nationally representative, cross-sectional survey data from 2005 (N = 16,110), 2008 (N = 13,055), and 2012 (N = 25,979) were analyzed using multinomial regression models. Current drinkers of low SES had an elevated risk of HIV infection in all survey years, ranging from a relative risk ratio (RRR) of 1.94 (95% confidence interval (CI) 1.29-3.00, t = 2.93, p = 0.002) in 2012 to RRR of 3.51 (95% CI 2.02-6.08, t = 4.47, p < 0.001) in 2008. Targeting preventive strategies to alcohol users of low SES could help reduce HIV burden and associated socioeconomic differences.

HIV Serostatus Disclosure to Sexual Partners Among Sexually Active People Living with HIV in South Africa: Results from the 2012 National Population-Based Household Survey.

This paper explores the prevalence and correlates of HIV seropositive status disclosure to sexual partners by people living with HIV (PLHIV) in South Africa. Secondary analysis of the 2012 South African National HIV Prevalence, Incidence and Behaviour Survey was conducted on data obtained from 934 sexually active PLHIV aged 15 years and older who responded to the question about HIV seropositive status disclosure. Overall, a large majority of respondents (77.1 %) reported disclosing their HIV-positive status to all their current sex partners. Multiple regression analysis, after adjustments for sex, marital status and locality type, revealed that those who were living together, going steady, and those who were single were all 60 % [adjusted odds ratio (AOR) = 0.4, 95 % CIs 0.20-0.78; AOR = 0.4, 95 % CIs 0.24-0.77; and AOR = 0.4, 95 % CIs 0.19-1.00, all ps < 0.05] less likely to disclose their HIV positive status to their partners compared to those who were married. Those who lived in rural formal areas were 70 % less likely to disclose their HIV status to their partners compared to those who stayed in urban formal areas (AOR = 0.3, 95 % CI 0.17-0.69, p < 0.001). Those who had correct HIV knowledge and rejection of myths were 2.0 times more likely to disclose their HIV status to their partners compared to those who did not have correct HIV knowledge and rejection of myths (AOR = 2.0, 95 % CI 1.04-3.68, p < 0.05). In conclusion, intervention programmes which help improve HIV seropositive status disclosure are needed by PLHIV who are not married, live in rural formal areas, and have incorrect HIV knowledge and rejection of myths.

Alcohol Expectancies and Inhibition Conflict as Moderators of the Alcohol-Unprotected Sex Relationship: Event-Level Findings from a Daily Diary Study Among Individuals Living with HIV in Cape Town, South Africa.

Literature from sub-Saharan Africa and elsewhere supports a global association between alcohol and HIV risk. However, more rigorous studies using multiple event-level methods find mixed support for this association, suggesting the importance of examining potential moderators of this relationship. The present study explores the assumptions of alcohol expectancy theory and alcohol myopia theory as possible moderators that help elucidate the circumstances under which alcohol may affect individuals' ability to use a condom. Participants were 82 individuals (58 women, 24 men) living with HIV who completed daily phone interviews for 42 days which assessed daily sexual behavior and alcohol consumption. Logistic generalized estimating equation models were used to examine the potential moderating effects of inhibition conflict and sex-related alcohol outcome expectancies. The data provided some support for both theories and in some cases the moderation effects were stronger when both partners consumed alcohol.

Antiretroviral Treatment and Sexual Risk Behavior in South Africa.

The sexual behavior of individuals living with HIV determines the onward transmission of HIV. With the understanding that antiretroviral therapy (ART) prevents transmission of HIV, the sexual behaviors of the individuals not on ART with unsuppressed viral loads becomes of the greatest importance in elucidating transmission. We assessed the association between being on ART and sexual risk behavior among those living with HIV in a nationally representative population-based cross-sectional survey of households in South Africa that was conducted in 2012. Of 2237 adults (aged 15-49) who tested HIV-seropositive, 667 (29.8 %) had detectable antiretroviral drugs in their blood specimens. Among males, 77.7 % of those on ART reported having had sex in the past year contrasted with 88.4 % of those not on ART (p = 0.001); among females, 72.2 % of those on ART reported having had sex in the past year while 80.3 % of those not on ART did (p < 0.001). For males and females, the odds of reporting consistent condom use and condom use at last sex were statistically significantly higher for individuals on ART compared to those not on ART (males: consistent condom use aOR 2.8, 95 % CI 1.6-4.9, condom use at last sex aOR 2.6, 95 % CI 1.5-4.6; females: consistent condom use aOR 2.3, 95 % CI 1.7-3.1, condom use at last sex aOR 2.3, 95 % CI 1.7-3.1), while there were no statistically significant differences in odds of reporting multiple sexual partners in the past year. In this nationally representative population-based survey of South African adults, we found evidence of less risky sexual risk behavior among people living with HIV on ART compared to those not on ART.

Predictors of knowledge about tuberculosis: results from SANHANES I, a national, cross-sectional household survey in South Africa.

BACKGROUND: South Africa is one of the 22 high tuberculosis burden countries that contribute 80% of the global tuberculosis cases. Tuberculosis is infectious and due to its rapid and easy transmission route poses a threat to population health. Considering the importance of social and psychological factors in influencing health outcomes, appraising knowledge and awareness of tuberculosis, remain vital for effective tuberculosis control. The main aim of this study was to investigate the factors that predict knowledge about tuberculosis among 18-64 year old adults in South Africa. METHODS: A cross-sectional survey method was used. Multi-stage disproportionate, stratified cluster sampling was used to select households within enumeration areas stratified by province and locality type. Based on the Human Sciences Research Council 2007 master sample, 500 Enumerator Areas representative of the socio-demographic profile of South Africa were identified and a random sample of 20 households was randomly selected from each Enumerator Area, yielding an overall sample of 10,000 households. The tuberculosis module contained in the South African National Health And Nutrition Examination Survey I was the only module that examined the social determinants of an infectious disease. This module was questionnaire-based with no biomarkers obtained to screen for the presence of tuberculosis disease among the participants. Data was collected by administering a researcher developed individual level questionnaire. Simple and multiple linear regression was used to determine the independent variables associated with tuberculosis knowledge. RESULTS: Half the sample (52.6%) was female and the majority of the respondents were black African (76.5%). More than two thirds (68.0%) resided in urban areas, 56.9% did not complete high school and half were not in formal employment. Significant predictors of tuberculosis knowledge were race, sex, completion of high school, being in employment, having a diagnosis of the disease in ones' life-time and learning about tuberculosis from television, brochures, health workers, and teachers. CONCLUSIONS: To reduce the burden of tuberculosis in South Africa, media campaigns targeting both rural and urban communities should include conveying accurate information about the disease. Policy makers should also address structural barriers that vulnerable communities face.

New insights into HIV epidemic in South Africa: key findings from the National HIV Prevalence, Incidence and Behaviour Survey, 2012.

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 survey collected behavioural and biomedical data among people of all ages. Chi-squared test for association and formal trend tests (2002, 2005, 2008 and 2012) were used to test for associations and trends in the HIV epidemic across the four surveys. In 2012 a total of 38 431 respondents were interviewed from 11 079 households; 28 997 (67.5%) of 42 950 eligible individuals provided blood specimens. HIV prevalence was 12.2% [95% CI: 11.4-13.1] in 2012 with prevalence higher among females 14.4% than males 9.9%. Adults aged 25-49 years were most affected, 25.2% [95% CI: 23.2-27.3]. HIV prevalence increased from 10.6% [95%CI: 9.8-11.6] in 2008 to 12.2% [95% CI: 11.4-13.1] in 2012 (p < 0.001). Antiretroviral treatment (ART) exposure doubled from 16.6% in 2008 to 31.2% in 2012 (p < 0.001). HIV incidence in 2012 among persons 2 years and older was 1.07% [95% CI: 0.87-1.27], with the highest incidence among Black African females aged 20-34 years at 4.5%. Sexual debut before 15 years was reported by 10.7% of respondents aged 15-24 years, and was significantly higher among male youth than female (16.7% vs. 5.0% respectively, p < 0.001). Reporting of multiple sexual partners in the previous 12 months increased from 11.5% in 2002 to 18.3% in 2012 (p < 0.001). Condom use at last sex dropped from 45.1% in 2008 to 36.2% in 2012 (p < 0.001). Levels of accurate HIV knowledge about transmission and prevention were low and had decreased between 2008 and 2012 from 31.5% to 26.8%. South Africa is on the right track with scaling up ART. However, there have been worrying increases in most HIV-related risk behaviours. These findings suggest that there is a need to scale up prevention methods that integrate biomedical, behavioural, social and structural prevention interventions to reverse the tide in the fight against HIV.

Improving the counselling skills of lay counsellors in antiretroviral adherence settings: a cluster randomised controlled trial in the Western Cape, South Africa.

Little research has investigated interventions to improve the delivery of counselling in health care settings. We determined the impact of training and supervision delivered as part of the Options: Western Cape project on lay antiretroviral adherence counsellors' practice. Four NGOs employing 39 adherence counsellors in the Western Cape were randomly allocated to receive 53 h of training and supervision in Options for Health, an intervention based on the approach of Motivational Interviewing. Five NGOs employing 52 adherence counsellors were randomly allocated to the standard care control condition. Counselling observations were analysed for 23 intervention and 32 control counsellors. Intervention counsellors' practice was more consistent with a client-centred approach than control counsellors', and significantly more intervention counsellors engaged in problem-solving barriers to adherence (91 vs. 41 %). The Options: Western Cape training and supervision package enabled lay counsellors to deliver counselling for behaviour change in a manner consistent with evidence-based approaches.

Mediators of behavior change resulting from a sexual risk reduction intervention for STI patients, Cape Town, South Africa.

Theory-based sexual risk reduction interventions are often demonstrated effective, but few studies have examined the mechanisms that mediate their behavior changes. In addition, critical contextual factors, such as alcohol use, are often not accounted for by social cognitive theories and may add to the explanatory value of intervention effects. The purpose of this study is to examine the underlying mechanisms driving condom use following a brief sexual risk reduction intervention grounded in the information, motivation, behavioral skills (IMB) model of behavior change. We examined IMB theoretical constructs and alcohol-related contextual factors as potential mediators in separate models. Patients (n = 617) from an STI clinic in Cape Town, South Africa were randomly assigned to either a brief risk reduction intervention or an education-only control condition. We assessed IMB, and alcohol-related variables at baseline, 3, 6, 9, and 12 months and modeled IMB constructs and alcohol-related factors as mediators of behavior change. Results of growth-curve mediational modeling showed that 1 year after counseling, the intervention indirectly affected sexual risk behavior through alcohol-related constructs, but not IMB constructs. Alcohol use and related factors play critical roles in explaining HIV and STI risk reduction intervention effects. Interventions that directly address alcohol use as a factor in sexual risk behavior and behavior change should be the focus of future research.

Prevalence of knowledge and use of the female condom in South Africa.

Male condoms remain a key tool in preventing the spread of HIV and the female condom (FC) holds similar potential. Using data collected through a national cross-sectional population survey that was conducted in 2008, this report investigated the national prevalence of FC knowledge and use by sexually active males and females (n = 7,727) over the age of 15 years in South Africa, followed by a closer examination of the sexually active female population alone. Though knowledge of the FC among sexually active females over the age of 15 years (n = 4,551) was relatively high at 77.75 %, use was low at 7.16 %. The present study found statistically significant associations between knowledge or use of the FC and several demographic variables for females in South Africa. Having heard of the FC was consistently associated with locality, province, age, education level, marital status, and employment status. Use of the FC, however, was only associated with province and age group. Many demographic groups exhibited a high prevalence of knowledge but a low level of use; or conversely, a low prevalence of knowledge but a high level of use compared to their counterparts. Our findings support the need for a rigorous campaign to promote the use of FCs by women and also to increase their availability in public health sector facilities such as government clinics and hospitals in order to improve the chance of women using the FC, a cost-effective device that has the potential to protect both their rights and lives.

Covariates of condom use in South Africa: findings from a national population-based survey in 2008.

Condom use has increased significantly over the past decade among all adult age groups in South Africa, and it is widely believed to have played a major role in the recent significant decline in HIV incidence in the country, especially among young people. This study investigated the demographic, behavioural and psychosocial correlates of condom use at last sex among a national random probability sample of sexually experienced respondents aged 15 years and older (n = 7817, 42.9% males and 57.1% females) using data from the 2008 South African national HIV population-based household survey. Multivariate logistic regression analyses revealed that for both sexes, being aged 15-24 years and 25-49 years old, Black African, never married and unemployed were significantly associated with condom use at last sex. In addition, for males, condom use was associated with having had two or more sexual partners, whereas for females it was associated with living in urban formal, urban informal and rural informal areas, and having been in a current relationship for less than a year. Based on these findings, it was concluded that there is a need to further promote condom use especially among the subgroups of people with lower rates of condom use in order to reduce their risk of HIV infection.