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Background The National Development Plan (NDP) strives that South Africa, by 2030, in pursuit of Universal Health Coverage (UHC) achieve a significant shift in the equity of health services provision. This paper provides a diagnosis of the extent of socio-economic inequalities in health and healthcare using an integrated conceptual framework. Method The 2012 South African National Health and Nutrition Examination Survey (SANHANES-1), a nationally representative study, collected data on a variety of questions related to health and healthcare. A range of concentration indices were calculated for health and healthcare outcomes that fit the various dimensions on the pathway of access. A decomposition analysis was employed to determine how downstream need and access barriers contribute to upstream inequality in healthcare utilisation. Results In terms of healthcare need, good and ill health are concentrated among the socio-economically advantaged and disadvantaged, respectively. The relatively wealthy perceived a greater desire for care than the relatively poor. However, postponement of care seeking and unmet need is concentrated among the socio-economically disadvantaged, as are difficulties with the affordability of healthcare. The socio-economic divide in the utilisation of public and private healthcare services remains stark. Those who are economically disadvantaged are less satisfied with healthcare services. Affordability and ability to pay are the main drivers of inequalities in healthcare utilisation. Conclusion In the South African health system, the socio-economically disadvantaged are discriminated against across the continuum of access. NHI offers a means to enhance ability to pay and to address affordability, while disparities between actual and perceived need warrants investment in health literacy outreach programmes.

Background HIV/AIDS and depression are projected to be the two leading causes of disability by 2030. HIV/AIDS and anxiety/depression are interlinked. People suffering from depression may be more likely to engage in risky sexual behaviour, and therefore at greater risk of contracting HIV. An HIV + diagnosis may trigger symptoms of anxiety and depression, which may in turn result in risky sexual behaviour and the spread of HIV. This study explores correlates of anxiety and depression in patients enrolled in a public sector ART programme in South Africa. Methods Interviews were conducted with 716 patients initiating ART at twelve public health care facilities in the Free State. Symptoms of anxiety and depression were measured using the Hospital Anxiety and Depression Scale (HADS). An 8+ cut-off was used to identify possible cases of anxiety and depression. Multivariate logistic regression analysis, using STATA Version 11, was performed to identify correlates of anxiety and depression. Results The prevalence of symptoms of respectively anxiety and depression amongst this study population in the Free State was 30.6% and 25.4%. The multivariate logistic regression analyses identified five correlates of symptoms of anxiety and depression. Disruptive side effects (OR = 3.62, CI 1.95-6.74) and avoidant coping (OR = 1.42, CI 1.22-1.65) were associated with a greater number of symptoms of anxiety. Stigma was associated with an increase in symptoms of anxiety (OR = 1.14, CI 1.07-1.21) and of depression (OR = 1.13, CI 1.06-1.20), while being a widow (OR = 0.30, CI 0.13-0.69) and participating in a support group (OR = 0.21, CI 0.05-0.99) were associated with decreased symptoms of depression. Conclusions The findings from the study provide valuable insights into the psychosocial aspects of the Free State public-sector ART programme. Combined with the literature on the intricate link between mental health problems and treatment outcomes our results emphasise firstly, the necessity that resources be allocated for both screening and treating mental health problems and, secondly, the need for interventions that will encourage support-group participation, address ART side effects, reduce maladaptive coping styles, and minimise the stigma associated with symptoms of anxiety and/or depression.

Inequalities in diabetes are widespread and are exacerbated by differences in lifestyle. Many studies that have estimated inequalities in diabetes make use of self-reported diabetes which is often biased by differences in access to health care and diabetes awareness. This study adds to this literature by making use of a more objective standardised measure of diabetes in South Africa. The study estimates socio-economic inequalities in undiagnosed diabetes, diagnosed diabetes (self-reported), as well as total diabetes (undiagnosed diabetics + diagnosed diabetics). The study also examines the contribution of lifestyle factors to diabetes inequalities in South Africa. This cross sectional study uses data from the 2012 South African National Health and Nutrition Examination Survey (SANHANES-1) and applies the Erreygers Concentration Indices to assess socio-economic inequalities in diabetes. Contributions of lifestyle factors to inequalities in diabetes are assessed using a decomposition method. Self-reported diabetes and total diabetes (undiagnosed diabetics + diagnosed diabetics) were significantly concentrated amongst the rich (CI = 0.0746; p < 0.05 and CI = 0.0859; p < 0.05). The concentration index for undiagnosed diabetes was insignificant but pro-poor. The decomposition showed that lifestyle factors contributed 22% and 35% to socioeconomic inequalities in self-reported and total diabetes, respectively. Diabetes in South Africa is more concentrated amongst higher socio-economic groups when measured using self-reported diabetes or clinical data. Our findings also show that the extent of inequality is worse in the total diabetes outcome (undiagnosed diabetics + diagnosed diabetics) when compared to the self-reported diabetes outcome. Although in comparison to other determinants, the contribution of lifestyle factors was modest, these contributions are important in the development of policies that address socio-economic inequalities in the prevalence of diabetes.

Social determinants of health frameworks are standard tools in public health. These frameworks for the most part omit a crucial factor: the family. Socioeconomic status moreover is a prominent social determinant of health. Insofar as family functioning is poorer in poor families and family structure and functioning are linked to health, it is critical to consider the pathways between these four constructs. In this correspondence, we reflect on how empirical studies of this conceptual nexus mirror two causal models. We conclude by reflecting on future directions for research in this field.

Background The prevalence of alcohol consumption among males living in urban settlements in South Africa is high. This paper aims to measure socioeconomic inequalities in alcohol use among men residing in informal settlements and also to examine the factors associated with inequality in alcohol use among men living in informal settlements. Methods The study uses data from the 2016 Study of South African Informal Settlements. Multiple correspondence analysis is used to calculate a wealth index as a measure of socioeconomic status. The Erreygers concentration index is employed to quantify the degree of socioeconomic inequality in alcohol use and decomposition analysis is conducted to assess the factors associated with inequality in alcohol use by men of various age groups. Results There is a socioeconomic-related inequality in alcohol use in informal settlements that discriminates against poor men. Inequality is especially pronounced in the case of males aged 15–34 years and males aged 35–44 years. Wealth status makes the biggest contribution to socioeconomic inequality in alcohol use. The contribution of social determinants of health like marital status and employment status differ across age groups. Employment status contribute more to the alcohol use inequality among males aged 15–34 years while marital status contribute more to the alcohol use inequality among males aged 35–44 years. Being single substantially increases inequality in alcohol use. Conclusion Inequality in alcohol use exists among both younger and older males and discriminate against the poor. Public policies aimed at promoting public health and the prevention of unhealthy behaviours should target younger and middle-aged men from socioeconomically disadvantaged groups. We also suggest policies that target single males in informal settlements.

As a chronic illness, HIV/AIDS requires life-long treatment adherence and retention—and thus sufficient attention to the psychosocial dimensions of chronic disease care in order to produce favourable antiretroviral treatment (ART) outcomes in a sustainable manner. Given the high prevalence of depression in chronic HIV patients, there is a clear need for further research into the determinants of depression in this population. In order to comprehensively study the predictors of depressive symptoms in HIV patients on ART, the socio-ecological theory postulates to not only incorporate the dominant individual-level and the more recent community-level approaches, but also incorporate the intermediate, but crucial family-level approach. The present study aims to extend the current literature by simultaneously investigating the impact of a wide range individual-level, family-level and community-level determinants of depression in a sample of 435 patients enrolled in the Free State Province of South Africa public-sector ART program. Structural equation modeling is used to explore the relationships between both latent and manifest variables at two time points. Besides a number of individual-level correlates—namely education, internalized and external stigma, and avoidant and seeking social support coping styles—of depressive symptoms in HIV patients on ART, the study also revealed the important role of family functioning in predicting depression. While family attachment emerged as the only factor to continuously and negatively impact depression at both time points, the second dimension of family functioning, changeability, was the only factor to produce a negative cross-lagged effect on depression. The immediate and long-term impact of family functioning on depression draws attention to the role of family dynamics in the mental health of people living with HIV/AIDS. In addition to individual-level and community-based factors, future research activities should also incorporate the role of the family context in research into the mental health of HIV patients, as our results demonstrate that the familial context in which a person with HIV on ART resides is inextricably interconnected with his/her health outcomes.

Background Direct out of pocket (OOP) payments for healthcare may cause financial hardship. For diabetic patients who require frequent visits to health centres, this is of concern as OOP payments may limit access to healthcare. This study assesses the incidence, socio-economic inequalities and determinants of catastrophic health expenditure and impoverishment amongst diabetic patients in South Africa. Methods Data were taken from a cross-sectional survey conducted in 2017 at two public hospitals in Tshwane, South Africa ( N  = 396). Healthcare costs and transport costs related to diabetes care were classified as catastrophic if they exceeded the 10% threshold of household’s capacity to pay (WHO standard method) or if they exceeded a variable threshold of total household expenditure (Ataguba method). Erreygers concentration indices (CIs) were used to assess socio-economic inequalities. A multivariate logistic regression was applied to identify the determinants of catastrophic health expenditure and impoverishment. Results Transport costs contributed to over 50% of total healthcare costs. The incidence of catastrophic health expenditure was 25% when measured at a 10% threshold of capacity to pay and 13% when measured at a variable threshold of total household expenditure. Depending on the method used, the incidence of impoverishment varied from 2 to 4% and the concentration index for catastrophic health expenditure varied from − 0.2299 to − 0.1026. When measured at a 10% threshold of capacity to pay factors associated with catastrophic health expenditure were being female (Odds Ratio 1.73; Standard Error 0.51), being within the 3rd (0.49; 0.20), 4th (0.31; 0.15) and 5th wealth quintile (0.30; 0.17). When measured using a variable threshold of total household expenditure factors associated with catastrophic health expenditure were not having children (3.35; 1.82) and the 4th wealth quintile (0.32; 0.21). Conclusion Financial protection of diabetic patients in public hospitals is limited. This observation suggests that health financing interventions amongst diabetic patients should target the poor and poor women in particular. There is also a need for targeted interventions to improve access to healthcare facilities for diabetic patients and to reduce the financial impact of transport costs when seeking healthcare. This is particularly important for the achievement of universal health coverage in South Africa.

In the current context of human resource shortages in South Africa, various community support interventions are being implemented to provide long-term psychosocial care to persons living with HIV/AIDS (PLWHA). However, it is important to analyze the unintended social side effects of such interventions in regards to the stigma felt by PLWHA, which might threaten the successful management of life-long treatment. Latent cross-lagged modeling was used to analyze longitudinal data on 294 PLWHA from a randomized controlled trial (1) to determine whether peer adherence support (PAS) and treatment buddying influence the stigma experienced by PLWHA; and (2) to analyze the interrelationships between each support form and stigma. Results indicate that having a treatment buddy decreases felt stigma scores, while receiving PAS increases levels of felt stigma at the second follow up. However, the PAS intervention was also found to have a positive influence on having a treatment buddy at this time. Furthermore, a treatment buddy mitigates the stigmatizing effect of PAS, resulting in a small negative indirect effect on stigma. The study indicates the importance of looking beyond the intended effects of an intervention, with the goal of minimizing any adverse consequences that might threaten the successful long-term management of HIV/AIDS and maximizing the opportunities created by such support.

For the purpose of effective implementation of a National Health Insurance (NHI) policy it is necessary to have an understanding of the awareness and perceptions of and support for such policy among clients using the healthcare system. The South African National Health and Nutrition Examination Survey asked household heads a series of questions on healthcare utilisation and access and collected information on knowledge and perceptions of and support for national health insurance. Comparisons are drawn between private sector healthcare users with medical aid and public sector healthcare users without medical aid, using descriptive and regression analysis. Inequalities in access to quality healthcare remain stark. Only 8.5% of private users had postponed seeking healthcare compared to 23.9% of public users (p < 0.001). Only 11.9% of public users were very satisfied with the quality of healthcare services compared to 50.2% of private users (p < 0.001). More than eighty percent of healthcare users however were of the opinion that NHI is a top priority. However, for healthcare users to sacrifice choice required a national health insurance that provides better quality healthcare, increasing the probability of support for an NHI with lower cost and full coverage by 10.1%. It is imperative to provide better quality healthcare services in the public sector for private sector users to be supportive of national health insurance. Concerted efforts are also required to develop a proper communication strategy to disseminate information on and garner support for national health insurance, both in the public and private healthcare sectors.

Background Inequalities in mental health are a notable and well documented policy concern in many countries, including South Africa. Individuals’ perception of their position in the social hierarchy is strongly and negatively related to their mental health, whilst the global burden of poor mental health is greater amongst women. This paper offers a first glimpse of the factors that shape gender-based health inequalities across subjective social status. Methods This study employs the cross-sectional 2014 South African Social Attitudes Survey (SASAS). The prevalence of depressive symptoms is measured with the aid of the CES-D 8-item scale, with analyses disaggregated by gender. Concentration indices (CI) are used to measure inequalities in depressive symptoms related to subjective social status. The study applies the Wagstaff decomposition to determine the factors that contribute to these gender-based inequalities. Results More than 26% of the study sample had depressive symptoms (95% CI 24.92–28.07). The prevalence of depressive symptoms is significantly more pronounced in females (28.46% versus 24.38%; p  = 0.011). The concentration index for depressive symptoms is − 0.276 (95% CI -0.341 – − 0.211), showing large inequalities across subjective social status. The observed SSS-related inequality in depressive symptoms however is higher for males (CI = -0.304) when compared to females (CI = -0.240) ( p  = 0.056). The most important contributor to SSS-related inequalities in depressive symptoms, at 61%, is subjective social status itself (contributing 82% in females versus 44% in males). Other variables that make large contributions to the inequalities in depressive symptoms at 11% each are race (contributing 2% in females versus 25% in males) and childhood conflict (contributing 17% in females versus 4% in males). Conclusion Policy makers should target a reduction in the positive contribution of SSS to depression via the implementation of programmes that improve social welfare. Given the much greater contribution to inequalities among females, these policies should target women. Policies that protect children and especially the girl child from conflict can also be useful in reducing inequalities in depression related to subjective social status during adulthood. Overall, there is need for a multi-sectoral approach to address these inequalities.