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Background: The coronavirus disease 2019 (COVID-19) has resulted in an enormous dislocation of society especially in South Africa. The South African government has imposed a number of measures aimed at controlling the pandemic, chief being a nationwide lockdown. This has resulted in income loss for individuals and firms, with vulnerable populations (low earners, those in informal and precarious employment, etc.) more likely to be adversely affected through job losses and the resulting income loss. Income loss will likely result in reduced ability to access healthcare and a nutritious diet, thus adversely affecting health outcomes. Given the foregoing, we hypothesize that the economic dislocation caused by the coronavirus will disproportionately affect the health of the poor. Methods: Using the fifth wave of the National Income Dynamics Study (NIDS) dataset conducted in 2017 and the first wave of the NIDS-Coronavirus Rapid Mobile Survey (NIDS-CRAM) dataset conducted in May/June 2020, this paper estimated income-related health inequalities in South Africa before and during the COVID-19 pandemic. Health was a dichotomized self-assessed health measure, with fair and poor health categorized as "poor" health, while excellent, very good and good health were categorized as "better" health. Household per capita income was used as the ranking variable. Concentration curves and indices were used to depict the income-related health inequalities. Furthermore, we decomposed the COVID-19 era income-related health inequality in order to ascertain the significant predictors of such inequality. Results: The results indicate that poor health was pro-poor in the pre-COVID-19 and COVID-19 periods, with the latter six times the value of the former. Being African (relative to white), per capita household income and household experience of hunger significantly predicted income-related health inequalities in the COVID-19 era (contributing 130%, 46% and 9% respectively to the inequalities), while being in paid employment had a nontrivial but statistically insignificant contribution (13%) to health inequality. Conclusions: Given the significance and magnitude of race, hunger, income and employment in determining socioeconomic inequalities in poor health, addressing racial disparities and hunger, income inequality and unemployment will likely mitigate income-related health inequalities in South Africa during the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Background: Spurred by the WHO's endorsement of universal health coverage as a goal of all health systems, many countries are undertaking health financing reforms. The nature of these reforms, and the policy processes by which they are achieved, will depend on context-specific factors, including the history of reform efforts and the political imperatives driving reforms. South Africa's pursuit of universal health coverage through a National Health Insurance is the latest in a nearly 100-year history of health system reform efforts shaped by social and political realities. Methods: We conducted an interdisciplinary, retrospective literature review to explore how these reform efforts have unfolded, and been shaped by the contextual realities of the moment. We began the review by identifying peer-reviewed literature on health system reform in South Africa, and iteratively expanded the search through author tracking, citation tracking and purposeful searches for material on particular events or processes referenced in the initial body of evidence. Data was extracted and organised chronologically into nine periods. Results: The analysis suggests that in South Africa politics; the power of the private sector; competing policy priorities and budgetary constraints; and ideas, values and ideologies have been particularly important in constraining, and sometimes spurring, health system reform efforts. Political transitions and pressures - including the introduction of apartheid in 1948, anti-apartheid opposition, the transition to democracy, and corruption and governance failures - have alternately created political imperatives for reform, and constrained reform efforts. In addition, the country's political history has given rise to dominant ideas, values and ideologies that imbue health system reform with a particular social meaning. While these ideas and values increase opposition and complicate reform efforts, they also help to expose the inequities of the current system as problematic and re-emphasise the need for reform. Conclusion: Ultimately, this analysis demonstrates the context-specific nature of health system reform processes and the influence of history on what sorts of reforms are politically feasible and socially acceptable, even in the context of a global push for universal health coverage. [ABSTRACT FROM AUTHOR]

Background: Very little is known about socioeconomic related inequalities in multimorbidity, especially in developing countries. Traditionally, studies on health inequalities have mainly focused on a single disease condition or different conditions in isolation. This paper examines socioeconomic inequality in multimorbidity in illness and disability in South Africa between 2005 and 2008. Methods: Data were drawn from the 2005, 2006, 2007, and 2008 rounds of the nationally representative annual South African General Household Surveys (GHS). Indirectly standardised concentration indices were used to assess socioeconomic inequality. A proxy index of socioeconomic status was constructed, for each year, using a selected set of variables that are available in all the GHS rounds. Multimorbidity in illness and disability were constructed using data on nine illnesses and six disabilities contained in the GHS. Results: Multimorbidity affects a substantial number of South Africans. Most often, based on the nine illness conditions and six disability conditions considered, multimorbidity in illness and multimorbidity in disability are each found to involve only two conditions. In 2008 in South Africa, the multimorbidity that affected the greatest number of individuals (0.6% of the population) combined high blood pressure (BP) with at least one other illness. The combination of sexually transmitted diseases (STDs) and other condition or conditions is the least reported (i.e. 0.02% of the population). Between 2005 and 2008, multimorbidity in illness and disability is more prevalent among the poor; in disabilities this is yet more consistent. The concentration index of multiple illnesses in 2005 and 2008 are -0.0009 and -0.0006 respectively. The corresponding values for multiple disabilities are -0.0006 and -0.0006 respectively. Conclusion: While there is a dearth of information on the socioeconomic distribution of multimorbidity in many developing countries, this paper has shown that its distribution in South Africa indicates that the poor bear a greater burden of multimorbidity. This is more so for disability than for illness. This paper argues that, given the high burden and skewed socioeconomic distribution of multimorbidity, there is a need to design policies to address this situation. Further, there is a need to design surveys that specifically assess multimorbidity. [ABSTRACT FROM AUTHOR]

Background: This paper uses the concepts of organisational culture and organisational trust to explore the Implementation of equity-oriented policies -- the Uniform Patient Fee Schedule (UPFS) and Patients' Rights Charter (PRC) - in two South African district hospitals. It contributes to the small literatures on organisational culture and trust in low- and middle-income country health systems, and broader work on health systems' people-centeredness and "software". Methods: The research entailed semi-structured interviews (Hospital A n = 115, Hospital B n = 80) with provincial, regional, district and hospital managers, as well as clinical and non-clinical hospital staff, hospital board members, and patients; observations of policy implementation, organisational functioning, staff interactions and patient-provider interactions; and structured surveys operationalising the Competing Values Framework for measuring organisational culture (Hospital A n = 155, Hospital B n = 77) and Organisational Trust Inventory (Hospital A n = 185, Hospital B n = 92) for assessing staff-manager trust. Results: Regarding the UPFS, the hospitals' implementation approaches were similar in that both primarily understood it to be about revenue generation, granting fee exemptions was not a major focus, and considerable activity, facility management support, and provincial support was mobilised behind the UPFS. The hospitals' PRC paths diverged quite significantly, as Hospital A was more explicit in communicating and implementing the PRC, while the policy also enjoyed stronger managerial support in Hospital A than Hospital B. Beneath these experiences lie differences in how people's values, decisions and relationships influence health system functioning and in how the nature of policies, culture, trust and power dynamics can combine to create enabling or disabling micro-level implementation environments. Conclusions: Achieving equity in practice requires managers to take account of "unseen" but important factors such as organisational culture and trust, which are key aspects of the organisational context that can profoundly influence policies. In addition to implementation "hardware" such as putting in place necessary staff and resources, it emphasises "software" implementation tasks such as relationship management and the negotiation of values, where equity-oriented policies might be interpreted as challenging health workers' status and values, and paying careful attention to how policies are practically framed and translated into practice, to ensure key equity aspects are not neglected. [ABSTRACT FROM AUTHOR]

Background: In South Africa, persistence of the HIV epidemic and associated gender and racial disparities is a major concern after more than 20 years of democratic dispensation and efforts to create a more healthy and equal society. This paper profiles HIV prevalence and related factors among Black African men and women compared to other race groups in South Africa using the 2012 population-based national household HIV survey. Methods: This secondary data analysis was based on the 2012 population-based nationally representative multi-stage stratified cluster random household sample. Bivariate and multiple logistic regression analysis were used to assess the relationship between HIV prevalence and associated factors by gender and racial profile. Results: Overall HIV prevalence was significantly higher (p < 0.001) among both Black African males (16.6%; 95% CI: 15.0–18.4) and females (24.1%; 95% CI: 22.4–26.0) compared to their counterparts from other races. Among Black African males, increased risk of HIV was significantly associated with age group 25–49 years and those 50 years and older compared with young males 15–25 years. Among all males, reported condom use at last sex was significantly associated with increased risk of HIV. High socio-economic status (SES) and perceived risk of HIV were associated with a decreased risk of HIV. Among female condom use at last sex and ever testing for HIV was associated with increased prevalence of HIV only among Black African females. Lower prevalence of HIV was associated with marriage, tertiary education, high SES, having a partner five years younger, perceived risk of HIV, and awareness of HIV status among Black African females. Conclusion: Gender and racial disparities rooted in structural and contextual inequalities remain important factors for the maintenance of the generalized HIV epidemic in the country. HIV prevention interventions need to cut across all strata of society but also target risk factors salient for specific groups. Alleviating vulnerability to HIV along gender and racial lines should also be viewed as part of a broader public health strategy. [ABSTRACT FROM AUTHOR]

Background: Though extensive studies have been conducted on assessing the predictors of cognitive functioning among older adults in small community-based samples, very few studies have focused on understanding the impact of socioeconomic status (SES), demographic characteristics and other risk factors such as lifestyle and chronic diseases on the cognitive functioning among adults of all ages in a nationally representative population-based sample across low- and middle-income countries. This study, therefore, seeks to evaluate the impact of SES, demographic characteristics and risk factors on the cognitive functioning of adults across all ages in five selected developing countries. Methods: Data from 12,430 observations obtained from the WHO Study on Global AGEing and Adult Health (SAGE) Wave 1; consisting of 2,486 observations each for China, Ghana, India, the Russian Federation, and South Africa, were used for the study. A meta-regression and a five-step hierarchical linear regression were used to analyze the data, with cognitive functioning as the dependent variable. Independent variables used in this study include SES; assessed by household income and education, demographic characteristics, other risk factors such as lifestyle, self-reported memory difficulty and chronic diseases. Results: This study found that SES and lifestyle significantly predicted cognitive functioning in all the five selected countries as obtained by the pooled results of the meta-regression analysis. The hierarchical linear regression results also revealed that demographic characteristics such as age, type of residency, and self-reported memory difficulty significantly impact cognitive functioning in China, Ghana, Russia, and South Africa. Conclusion: The findings in this study provide new insights for policymakers, caregivers, parents, and individuals, especially those in developing countries, to implement policies and actions targeted at improving SES and eliminating risk factors associated with cognitive decline, as these measures could help improve the cognitive functioning among their populations. [ABSTRACT FROM AUTHOR]

Objective: To provide experience for formulating prevention and control policies, this study analyzed the effectiveness of the Coronavirus disease 2019(COVID-19) prevention and control policies, and evaluated health equity and epidemic cooperation among BRICS countries. Methods: This study summarized the pandemic prevention and control policies in BRICS countries and evaluated the effectiveness of those policies by extracting COVID-19 related data from official websites. Result: As of May 4, 2021, responding to COVID-19. China adopted containment strategies. China's total confirmed cases (102,560) were stable, without a second pandemic peak, and the total deaths per million (3.37) were much lower than others. India and South Africa who adopted intermediate strategies have similar pandemic curves, total confirmed cases in India (20,664,979) surpassed South Africa (1,586,148) as the highest in five countries, but total deaths per million (163.90) lower than South Africa (919.11). Brazil and Russia adopted mitigation strategies. Total confirmed cases in Brazil (14,856,888) and Russia (4,784,497) continued to increase, and Brazil's total deaths per million (1,936.34) is higher than Russia (751.50) and other countries. Conclusion: This study shows BRICS countries implemented different epidemic interventions. Containment strategy is more effective than intermediate strategy and mitigation strategy in limiting the spread of COVID-19. Especially when a strict containment strategy is implemented in an early stage, but premature relaxation of restrictions may lead to rebounding. It is a good choice to combat COVID-19 by improving the inclusiveness of intervention policies, deepening BRICS epidemic cooperation, and increasing health equities. [ABSTRACT FROM AUTHOR]

Introduction: Suboptimal breastfeeding rates in South Africa have been attributed to the relatively easy access that women and families have had to infant formula, in part as a result of programs to prevent maternal-to-child transmission (MTCT) of HIV. This policy may have had an undesirable spill-over effect on HIV-negative women as well. Thus, the aims of this scoping review were to: (a) describe EBF practices in South Africa, (b) determine how EBF has been affected by the WHO HIV infant feeding policies followed since 2006, and (c) assess if the renewed interest in The Code has had any impact on breastfeeding practices in South Africa. Methods: We applied the Joanna Briggs Institute guidelines for scoping reviews and reported our work in compliance with the PRISMA Extension (PRISMA-ScR). Twelve databases and platforms were searched. We included all study designs (no language restrictions) from South Africa published between 2006 and 2020. Eligible participants were women in South Africa who delivered a healthy live newborn who was between birth and 24 months of age at the time of study, and with known infant feeding practices. Results: A total of 5431 citations were retrieved. Duplicates were removed in EndNote and by Covidence. Of the 1588 unique records processed in Covidence, 179 records met the criteria for full-text screening and 83 were included in the review. It was common for HIV-positive women who initiated breastfeeding to stop doing so prior to 6 months after birth (1–3 months). EBF rates rapidly declined after birth. School and work commitments were also reasons for discontinuation of EBF. HIV-positive women expressed fear of HIV MTCT transmission as a reason for not breastfeeding. Conclusion: The Review found that while enforcing the most recent WHO HIV infant feeding guidelines and the WHO Code may be necessary to improve breastfeeding outcomes in South Africa, they may not be sufficient because there are additional barriers that impact breastfeeding outcomes. Mixed-methods research, including in-depth interviews with key informants representing different government sectors and civil society is needed to prioritize actions and strategies to improve breastfeeding outcomes in South Africa. [ABSTRACT FROM AUTHOR]

Background: Alongside the global population ageing phenomenon, there has been a rise in the number of individuals who suffer from multiple chronic conditions. Taking the case of South Africa, this study aims, first, to investigate the association between multi-morbidity and disability among older adults; and second, to examine whether hypertension (both diagnosed and undiagnosed) mediates this relationship. Lastly, we consider whether the impact of the multi-morbidity on disability varies by socio-demographic characteristics. Methods: Data were drawn from Wave 1 (2007-08) of the South African Study on Global Ageing and Adult Health. Disability was measured using the 12-item World Health Organisation Disability Assessment Schedule (WHODAS) 2.0. Scores were transformed into a binary variable whereby those over the 90th percentile were classified as having a severe disability. The measure of multi-morbidity was based on a simple count of self-reported diagnosis of selected chronic conditions. Self-reports of diagnosed hypertension, in addition to blood pressure measurements at the time of interview, were used to create a three category hypertension variable: no hypertension (diagnosed or measured), diagnosed hypertension, hypertension not diagnosed but hypertensive measured blood pressure. Interactions between the number of chronic diseases with sex, ethnicity and wealth were tested. Logistic regression was used to analyze the relationships. Results: 25.4% of the final sample had one and 13.2% two or more chronic diseases. Nearly half of the respondents had a hypertensive blood pressure when measured during the interview, but had not been previously diagnosed. A further third self-reported they had been told by a health professional they had hypertension. The logistic regression showed in comparison to those with no chronic conditions, those with one or two or more had significantly higher odds of severe disability. Hypertension was insignificant and did not change the direction or size of the effect of the multi-morbidity measure substantially. The interactions between number of chronic conditions with wealth were significant at the 5% level. Conclusions: The diagnosis of multiple chronic conditions, can be used to identify those most at risk of severe disability. Limited resources should be prioritized for such individuals in terms of preventative, rehabilitative and palliative care. [ABSTRACT FROM AUTHOR]

Introduction: Multimorbidity is a growing concern worldwide, with approximately 1 in 4 adults affected. Most of the evidence on multimorbidity, its prevalence and effects, comes from high income countries. Not much is known about multimorbidity in low income countries, particularly in sub-Saharan Africa. The aim of this study was to determine the prevalence of multimorbidity and examine its association with various social determinants of health in South Africa. Method: The data used in this study are taken from the South Africa National Income Dynamic Survey (SA-NIDS) of 2008. Multimorbidity was defined as the coexistence of two or more chronic diseases in an individual. Multinomial logistic regression models were constructed to analyse the relationship between multimorbidity and several indicators including socioeconomic status, area of residence and obesity. Results: The prevalence of multimorbidity in South Africa was 4% in the adult population. Over 70% of adults with multimorbidity were females. Factors associated with multimorbidity were social assistance (Odds ratio (OR) 2.35; Confidence Interval (CI) 1.59-3.49), residence (0.65; 0.46-0.93), smoking (0.61; 0.38-0.96); obesity (2.33; 1.60-3.39), depression (1.07; 1.02-1.11) and health facility visits (5.14; 3.75-7.05). Additionally, income was strongly positively associated with multimorbidity. The findings are similar to observations made in studies conducted in developed countries. Conclusion: The findings point to a potential difference in the factors associated with single chronic disease and multimorbidity. Income was consistently significantly associated with multimorbidity, but not single chronic diseases. This should be investigated further in future research on the factors affecting multimorbidity. [ABSTRACT FROM AUTHOR]

Objective: The aim of this study was to explore possible differences in health care seeking behaviour among a rural and urban African population. Design: A cross sectional design was followed using the infrastructure of the PURE-SA study. Four rural and urban Setswana communities which represented different strata of urbanisation in the North West Province, South Africa, were selected. Structured interviews were held with 206 participants. Data on general demographic and socio-economic characteristics, health status, beliefs about health and (access to) health care was collected. Results: The results clearly illustrated differences in socio-economic characteristics, health status, beliefs about health, and health care utilisation. In general, inhabitants of urban communities rated their health significantly better than rural participants. Although most urban and rural participants consider their access to health care as sufficient, they still experienced difficulties in receiving the requested care. The difference in employment rate between urban and rural communities in this study indicated that participants of urban communities were more likely to be employed. Consequently, participants from rural communities had a significantly lower available weekly budget, not only for health care itself, but also for transport to the health care facility. Urban participants were more than 5 times more likely to prefer a medical doctor in private practice (OR:5.29, 95% CI 2.83-988). Conclusion: Recommendations are formulated for infrastructure investments in rural communities, quality of health care and its perception, improvement of household socio-economical status and further research on the consequences of delay in health care seeking behaviour. [ABSTRACT FROM AUTHOR]