Overweight and obesity in non-pregnant women of childbearing age in South Africa: subgroup regression analyses of survey data from 1998 to 2017.

BACKGROUND: Overweight and obesity in adults are increasing globally and in South Africa (SA), contributing substantially to deaths and disability from non-communicable diseases. Compared to men, women suffer a disproportionate burden of obesity, which adversely affects their health and that of their offspring. This study assessed the changing patterns in prevalence and determinants of overweight and obesity among non-pregnant women in SA aged 15 to 49 years (women of childbearing age (WCBA)) between 1998 and 2017. METHODS: This paper conducts secondary data analysis of seven consecutive nationally representative household surveys-the 1998 and 2016 SA Demographic and Health Surveys, 2008, 2010-2011, 2012, 2014-2015 and 2017 waves of the National Income Dynamics Survey, containing anthropometric and sociodemographic data. The changing patterns of the overweight and obesity prevalence were assessed across key variables. The inferential assessment was based on a standard t-test for the prevalence. Adjusted odds ratios from logistic regression analysis were used to examine the factors associated with overweight and obesity at each time point. RESULTS: Overweight and obesity prevalence among WCBA in SA increased from 51.3 to 60.0% and 24.7 to 35.2%, respectively, between 1998 and 2017. The urban-rural disparities in overweight and obesity decreased steadily between 1998 and 2017. The prevalence of overweight and obesity among WCBA varied by age, population group, location, current smoking status and socioeconomic status of women. For most women, the prevalence of overweight and/or obesity in 2017 was significantly higher than in 1998. Significant factors associated with being overweight and obese included increased age, self-identifying with the Black African population group, higher educational attainment, urban area residence, and wealthier socioeconomic quintiles. Smoking was inversely related to being overweight and obese. CONCLUSIONS: The increasing trend in overweight and obesity in WCBA in SA demands urgent public health attention. Increased public awareness is needed about obesity and its health consequences for this vulnerable population. Efforts are needed across different sectors to prevent excessive weight gain in WCBA, focusing on older women, self-identified Black African population group, women with higher educational attainment, women residing in urban areas, and wealthy women.

Decomposition of socioeconomic inequalities in cigarette smoking: the case of Namibia.

BACKGROUND: Namibia has one of the highest levels of income inequality in the world. Increased smoking prevalence, especially among the youth, may leave the country facing the spectre of higher smoking-related disease prevalence in the years to come. This study examines socioeconomic inequalities in smoking in Namibia and explores the drivers of this inequality. METHODS: Data are obtained from the Namibia 2013 Demographic and Health Survey, a nationally representative survey. Concentration curves and indices are calculated for cigarette smoking prevalence and intensity to assess the respective inequalities. Smoking intensity is defined as the number of cigarette sticks smoked within the last 24 h before the survey. We use a decomposition technique to identify the contribution of various covariates to socioeconomic inequalities in smoking prevalence and intensity. RESULTS: The concentration indices for socioeconomic inequality in cigarette smoking prevalence and smoking intensity are estimated at 0.021 and 0.135, respectively. This suggests that cigarette smoking is more prevalent among the wealthy and that they smoke more frequently compared to less wealthy Namibians. For smoking intensity, the biggest statistically significant contributors to inequality are marital status, wealth and region dummy variables while for smoking prevalence, education and place of dwelling (urban vs rural) are the main contributors. CONCLUSION: While overall inequality in smoking prevalence and intensity is focused among the wealthy, the contribution of region of residence and education warrant some attention from policy makers. Based on our results, we suggest an assessment of compliance and enforcement of the Tobacco Products Control Act, that initially focuses on regions with reportedly low education statistics followed by an appropriate implementation strategy to address the challenges identified in implementing effective tobacco control interventions.

Informal workers' access to health care services: findings from a qualitative study in the Kassena-Nankana districts of Northern Ghana.

BACKGROUND: Over the past two decades, employment in the informal sector has grown rapidly in all regions including low and middle-income countries. In the developing countries, between 50 and 75% of workers are employed in the informal sector. In Ghana, more than 80% of the total working population is working in the informal sector. They are largely self-employed persons such as farmers, traders, food processors, artisans, craft-workers among others. The persistent problem in advancing efforts to address health vulnerabilities of informal workers is lack of systematic data. Therefore, this study explored factors affecting informal workers access to health care services in Northern Ghana. METHOD: The study used qualitative methodology where focus group discussions and in-depth interviews were conducted. Purposive sampling technique was used to select participants for the interviews. The interviews were transcribed and coded into emergent themes using Nvivo 10 software before thematic content analysis. RESULTS: Study participants held the view that factors such as poverty, time spent at the health facility seeking for health care, unpleasant attitude of health providers towards clients affected their access to health care services. They perceived that poor organization and operations of the current health system and poor health care services provided under the national health insurance scheme affected access to health care services according to study participants. However, sale of assets, family support, borrowed money from friends and occasional employer support were the copying strategies used by informal workers to finance their health care needs. CONCLUSION: Most of the population in Ghana are engaged in informal employment hence their contribution to the economy is very important. Therefore, efforts needed to be made by all stakeholders to address these challenges in order to help improve on access to health care services to all patients particularly the most vulnerable groups in society.

Assessing the impoverishment effects of out-of-pocket healthcare payments prior to the uptake of the national health insurance scheme in Ghana.

BACKGROUND: There is a global concern regarding how households could be protected from relatively large healthcare payments which are a major limitation to accessing healthcare. Such payments also endanger the welfare of households with the potential of moving households into extreme impoverishment. This paper examines the impoverishing effects of out-of-pocket (OOP) healthcare payments in Ghana prior to the introduction of Ghana's national health insurance scheme. METHODS: Data come from the Ghana Living Standard Survey 5 (2005/2006). Two poverty lines ($1.25 and $2.50 per capita per day at the 2005 purchasing power parity) are used in assessing the impoverishing effects of OOP healthcare payments. We computed the poverty headcount, poverty gap, normalized poverty gap and normalized mean poverty gap indices using both poverty lines. We examine these indicators at a national level and disaggregated by urban/rural locations, across the three geographical zones, and across the ten administrative regions in Ghana. Also the Pen's parade of "dwarfs and a few giants" is used to illustrate the decreasing welfare effects of OOP healthcare payments in Ghana. RESULTS: There was a high incidence and intensity of impoverishment due to OOP healthcare payments in Ghana. These payments contributed to a relative increase in poverty headcount by 9.4 and 3.8% using the $1.25/day and $2.5/day poverty lines, respectively. The relative poverty gap index was estimated at 42.7 and 10.5% respectively for the lower and upper poverty lines. Relative normalized mean poverty gap was estimated at 30.5 and 6.4%, respectively, for the lower and upper poverty lines. The percentage increase in poverty associated with OOP healthcare payments in Ghana is highest among households in the middle zone with an absolute increase estimated at 2.3% compared to the coastal and northern zones. CONCLUSION: It is clear from the findings that without financial risk protection, households can be pushed into poverty due to OOP healthcare payments. Even relatively richer households are impoverished by OOP healthcare payments. This paper presents baseline indicators for evaluating the impact of Ghana's national health insurance scheme on impoverishment due to OOP healthcare payments.

Inequalities in multimorbidity in South Africa.

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.

Africanizing the social determinants of health: embedded structural inequalities and current health outcomes in sub-Saharan Africa.

There is a growing interest in health policy in the social determinants of health. This has increased the demand for a paradigm shift within the discipline of health economics from health care economics to health economics. While the former involves what is essentially a medical model that emphasizes the maximization of individual health outcomes and considers the social organization of the health system as merely instrumental, the latter emphasizes that health and its distribution result from political, social, economic, and cultural structures. The discipline of health economics needs to refocus its energy on the social determinants of health but, in doing so, must dig deeper into the reasons for structurally embedded inequalities that give rise to inequalities in health outcomes. Especially is this the case in Africa and other low- and middle-income regions. This article seeks to provide empirical evidence from sub-Saharan Africa, including Ghana and Nigeria, on why such inequalities exist, arguing that these are in large part a product of hangovers from historically entrenched institutions. It argues that there is a need for research in health economics to embrace the social determinants of health, especially inequality, and to move away from its current mono-cultural focus.

Income inequality and pandemics: insights from HIV/AIDS and COVID-19-a multicountry observational study.

OBJECTIVES: Assess the relationship between income inequality and HIV incidence, AIDS mortality and COVID-19 mortality. DESIGN: Multicountry observational study. SETTING: 217 countries for HIV/AIDS analysis, 151 countries for COVID-19 analysis. PARTICIPANTS: Used three samples of national-level data: a sample of all countries with available data (global sample), a subsample of African countries (African sample) and a subsample excluding African countries (excluding African sample). MAIN OUTCOME MEASURES: HIV incidence rate per 1000 people, AIDS mortality rate per 100 000 people and COVID-19 excess mortality rate per 100 000 people. The Gini index of income inequality was the primary explanatory variable. RESULTS: A positive and significant relationship exists between the Gini index of income inequality and HIV incidence across all three samples (p<0.01), with the effect of income inequality on HIV incidence being higher in the African sample than in the rest of the world. Also, a statistically positive association exists for all samples between income inequality and the AIDS mortality rate, as higher income inequality increases AIDS mortality (p<0.01). For COVID-19 excess mortality rate, a positive and statistically significant relationship exists with the Gini index for the entire sample and the excluding African sample (p<0.05), but the African sample alone did not deliver significant results (p<0.1). CONCLUSION: COVID-19 excess deaths, HIV incidence and AIDS mortality are significantly associated with income inequality globally-more unequal countries have a higher HIV incidence, AIDS mortality and COVID-19 excess deaths than their more equal counterparts. Income inequality undercuts effective pandemic response. There is an urgent need for concerted efforts to tackle income inequality and to build pandemic preparedness and responses that are adapted and responsive to highly unequal societies, prioritising income inequality among other social determinants of health.

Explaining changes in wealth inequalities in child health: The case of stunting and wasting in Nigeria.

BACKGROUND: Malnutrition is a major cause of child death, and many children suffer from acute and chronic malnutrition. Nigeria has the second-highest burden of stunting globally and a higher-than-average child wasting prevalence. Moreover, there is substantial spatial variation in the prevalence of stunting and wasting in Nigeria. This paper assessed the socioeconomic inequalities and determinants of the change in socioeconomic inequalities in child stunting and wasting in Nigeria between 2013 and 2018. METHODS: Data came from the 2013 and 2018 Nigeria Demographic and Health Survey. Socioeconomic inequalities in stunting and wasting were measured using the concentration curve and Erreygers' corrected concentration index. A pro-poor concentration index is negative, meaning that the poor bear a disproportionately higher burden of stunting or wasting than the wealthy. A positive or pro-rich index is the opposite. Standard methodologies were applied to decompose the concentration index (C) while the Oaxaca-Blinder approach was used to decompose changes in the concentration indices (ΔC). FINDINGS: The socioeconomic inequalities in child stunting and wasting were pro-poor in 2013 and 2018. The concentration indices for stunting reduced from -0.298 (2013) to -0.330 (2018) (ΔC = -0.032). However, the concentration indices for wasting increased from -0.066 to -0.048 (ΔC = 0.018). The changes in the socioeconomic inequalities in stunting and wasting varied by geopolitical zones. Significant determinants of these changes for both stunting and wasting were changes in inequalities in wealth, maternal education and religion. Under-five dependency, access to improved toilet facilities and geopolitical zone significantly explained changes in only stunting inequality, while access to improved water facilities only significantly determined the change in inequality in wasting. CONCLUSION: Addressing the socio-economic, spatial and demographic determinants of the changes in the socioeconomic inequalities in child stunting and wasting, especially wealth, maternal education and access to sanitation is critical for improving child stunting and wasting in Nigeria.

A reassessment of global antenatal care coverage for improving maternal health using sub-Saharan Africa as a case study.

BACKGROUND: Antenatal period is an opportunity for reaching pregnant women with vital interventions. In fact, antenatal care (ANC) coverage was an indicator for assessing progress towards the Millennium Development Goals. This paper applies a novel index of service coverage using ANC, which accounts for every ANC visit. An index of service coverage gap is also proposed. These indices are additively decomposable by population groups and they are sensitive to the receipt of more ANC visits below a defined threshold. These indices have also been generalised to account for the quality of services. METHODS: Data from recent rounds of the Demographic and Health Survey (DHS) are used to reassess ANC service coverage in 35 sub-Saharan African countries. An index of ANC coverage was estimated. These countries were ranked, and their ranks are compared with those based on attaining at least four ANC visits (ANC4+). FINDINGS: The index of ANC coverage reflected the level of service coverage in countries. Further, disparities exist in country ranking as some countries, e.g. Cameroon, Benin Republic and Nigeria are ranked better using the ANC4+ indicator but poorly using the proposed index. Also, Rwanda and Malawi are ranked better using the proposed index. CONCLUSION: The proposed ANC index allows for the assessment of progressive realisation, rooted in the move towards universal health coverage. In fact, the index reflects progress that countries make in increasing service coverage. This is because every ANC visit counts. Beyond ANC coverage, the proposed index is applicable to assessing service coverage generally including quality education.

Assessing income redistributive effect of health financing in Zambia.

Ensuring an equitable health financing system is a major concern particularly in many developing countries. Internationally, there is a strong debate to move away from excessive reliance on direct out-of-pocket (OOP) spending towards a system that incorporates a greater element of risk pooling and thus affords greater protection for the poor. This is a major focus of the move towards universal health coverage (UHC). Currently, Zambia with high levels of poverty and income inequality is implementing health sector reforms for UHC through a social health insurance scheme. However, the way to identify the health financing mechanisms that are best suited to achieving this goal is to conduct empirical analysis and consider international evidence on funding universal health systems. This study assesses, for the first time, the progressivity of health financing and how it impacts on income inequality in Zambia. Three broad health financing mechanisms (general tax, a health levy and OOP spending) were considered. Data come from the 2010 nationally representative Zambian Living Conditions and Monitoring Survey with a sample size of 19,397 households. Applying standard methodologies, the findings show that total health financing in Zambia is progressive. It also leads to a statistically significant reduction in income inequality (i.e. a pro-poor redistributive effect estimated at 0.0110 (p < 0.01)). Similar significant pro-poor redistribution was reported for general taxes (0.0101 (p < 0.01)) and a health levy (0.0002 (p < 0.01)). However, the redistributive effect was not significant for OOP spending (0.0006). These results further imply that health financing redistributes income from the rich to the poor with a greater potential via general taxes. This points to areas where government policy may focus in attempting to reduce the high level of income inequality and to improve equity in health financing towards UHC in Zambia.

Explaining the role of the social determinants of health on health inequality in South Africa.

BACKGROUND: Action on the social determinants of health (SDH) is relevant for reducing health inequalities. This is particularly the case for South Africa (SA) with its very high level of income inequality and inequalities in health and health outcomes. This paper provides evidence on the key SDH for reducing health inequalities in the country using a framework initially developed by the World Health Organization. OBJECTIVE: This paper assesses health inequalities in SA and explains the factors (i.e. SDH and other individual level factors) that account for large disparities in health. The relative contribution of different SDH to health inequality is also assessed. DESIGN: A cross-sectional design is used. Data come from the third wave of the nationally representative National Income Dynamics Study. A subsample of adults (18 years and older) is used. The main variable of interest is dichotomised good versus bad self-assessed health (SAH). Income-related health inequality is assessed using the standard concentration index (CI). A positive CI means that the rich report better health than the poor. A negative value signifies the opposite. The paper also decomposes the CI to assess its contributing factors. RESULTS: Good SAH is significantly concentrated among the rich rather than the poor (CI=0.008; p<0.01). Decomposition of this result shows that social protection and employment (contribution=0.012; p<0.01), knowledge and education (0.005; p<0.01), and housing and infrastructure (-0.003; p<0.01) contribute significantly to the disparities in good SAH in SA. After accounting for these other variables, the contribution of income and poverty is negligible. CONCLUSIONS: Addressing health inequalities inter alia requires an increased government commitment in terms of budgetary allocations to key sectors (i.e. employment, social protection, education, housing, and other appropriate infrastructure). Attention should also be paid to equity in benefits from government expenditure. In addition, the health sector needs to play its role in providing a broad range of health services to reduce the burden of disease.

Who benefits from health services in South Africa?

South Africa is considering major health service restructuring to move towards a universal system. This calls for understanding the challenges in the existing health system. The paper, therefore, comprehensively evaluates an aspect of current health system performance - the benefit incidence of health services. It seeks to understand how the benefits from using health services in South Africa are currently distributed across socio-economic groups. Using a nationally representative household survey, results show that lower socio-economic groups benefit less than their richer counterparts from both public and private sector health services, and that the distribution of service benefits is not in line with their need for care.

Reassessing catastrophic health-care payments with a Nigerian case study.

Health financing reforms have recently received much attention in developing countries. However, out-of-pocket payments remain substantial. When such payments involve expenditures above some given proportion of household resources, they are often deemed 'catastrophic'. The research literature on defining catastrophe leaves open a number of important questions and as a result there still exists a lack of consensus on the issue. This paper argues that there is a need to examine the question of what might constitute fair indices of catastrophic payment, which explicitly recognize diminishing marginal utility of income as reflected in some principle of vertical equity. It proposes the use of rank-dependent weights to allow variations in threshold payment levels across individuals on the income ladder. These are then applied to a Nigerian data set. It emerged that the catastrophic headcount (positive gap) obtained using a fixed threshold - weighted or not by the concentration index - is lower (higher) than that predicted by the rank-dependent threshold. More fundamentally there is a need for more research effort to take the ideas in this paper further and examine in various different contexts what a fair construct of catastrophe might look like.

Alcohol policy and taxation in South Africa: an examination of the economic burden of alcohol tax.

BACKGROUND: Alcohol consumption accounts for over 4% of the global burden of disease and an even higher figure in developing countries. Several policies have been proposed to curb the negative impact of alcohol misuse. Apart from South Africa, which has witnessed a rapid development in alcohol policy, such policies are poorly developed in most African countries. South Africa uses taxation as a policy lever, in line with international evidence, to reduce alcohol consumption. However, the problem of alcohol abuse still exists. OBJECTIVE: The objective of this article is to present an analysis of alcohol tax incidence for the first time in South Africa. This was done for each category of alcohol tax (wines, spirits, beer and traditional brew [sorghum beer]) and for alcohol tax as a whole. The paper also uses the results to point to the areas where a greater understanding of the issues surrounding alcohol abuse needs to be developed. METHODS: Data were drawn from the 2005/06 South African Income and Expenditure Survey. Reported expenditures on alcohol beverages were used to obtain the tax component paid by households. This was done under certain assumptions relating to alcohol content and the price per litre of alcohol. Per adult equivalent consumption expenditure was used as the measure of relative living standards and concentration curves and Kakwani indices to assess relative progressivity of alcohol taxes. Statistical dominance tests were also performed. RESULTS: Most sorghum beer and malt beer drinkers were in the poorer quintiles. The reverse was the case for wines and spirits. Overall, alcohol tax in South Africa was regressive (Kakwani index -0.353). The individual categories were found to be regressive. The most regressive tax was that on sorghum beer (Kakwani index -1.01); the least regressive was that on spirits (Kakwani index -0.09), although this was not statistically significant at conventional levels. These results were confirmed by the test of dominance. CONCLUSION: In South Africa, there has been a renewed interest in addressing the problem of rising alcohol abuse, but the extent to which this will translate into meaningful policies is unclear. The use of an excise tax is increasingly being recognized by economists as a way to get around some of the negative effects of abusive alcohol consumption. However, this study indicates that alcohol taxes are regressive in South Africa.