Browsing by Author "Ataguba, John E"
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- ItemOpen AccessA systematic review of factors that affect uptake of community-based health insurance in low-income and middle-income countries(2015-12-08) Adebayo, Esther F; Uthman, Olalekan A; Wiysonge, Charles S; Stern, Erin A; Lamont, Kim T; Ataguba, John EBackground: Low-income and middle-income countries (LMICs) have difficulties achieving universal financial protection, which is primordial for universal health coverage. A promising avenue to provide universal financial protection for the informal sector and the rural populace is community-based health insurance (CBHI). We systematically assessed and synthesised factors associated with CBHI enrolment in LMICs. Methods: We searched PubMed, Scopus, ERIC, PsychInfo, Africa-Wide Information, Academic Search Premier, Business Source Premier, WHOLIS, CINAHL, Cochrane Library, conference proceedings, and reference lists for eligible studies available by 31 October 2013; regardless of publication status. We included both quantitative and qualitative studies in the review. Results: Both quantitative and qualitative studies demonstrated low levels of income and lack of financial resources as major factors affecting enrolment. Also, poor healthcare quality (including stock-outs of drugs and medical supplies, poor healthcare worker attitudes, and long waiting times) was found to be associated with low CBHI coverage. Trust in both the CBHI scheme and healthcare providers were also found to affect enrolment. Educational attainment (less educated are willing to pay less than highly educated), sex (men are willing to pay more than women), age (younger are willing to pay more than older individuals), and household size (larger households are willing to pay more than households with fewer members) also influenced CBHI enrolment. Conclusion: In LMICs, while CBHI schemes may be helpful in the short term to address the issue of improving the rural population and informal workers’ access to health services, they still face challenges. Lack of funds, poor quality of care, and lack of trust are major reasons for low CBHI coverage in LMICs. If CBHI schemes are to serve as a means to providing access to health services, at least in the short term, then attention should be paid to the issues that militate against their success.
- ItemOpen AccessAn analysis of overweight and obesity in South Africa: the case of women of childbearing age(2022) Nglazi, Mweete Debra; Ataguba, John EThis thesis used nationally representative data from the 2008 - 2017 National Income Dynamics Study, 1998 and 2016 South African Demographic and Health Surveys and 2005/06 and 2010/11 Income and Expenditure Surveys to examine prevalence, socioeconomic inequality, and determinants of overweight and obesity among non-pregnant women of childbearing age (15 to 49 years) (WCBA) in South Africa over time. It also assessed socioeconomic inequality in the intergenerational transmission of overweight and obesity from mothers to their offsprings among 10,735 mother-offspring pairs and decomposed socioeconomic inequality in household ultra-processed food (UPF) product spending in samples of 16,209 households in 2005/06 and 17,217 households in 2010/11. Overweight and obesity in WCBA in South Africa increased between 1998 and 2017 with factors including increased age, self-identifying with the Black African population group, higher educational attainment, residing in an urban area, and wealth contributing to the rise. Smoking had a protective effect on being overweight and obese. Overweight and obesity were also increasingly prevalent among wealthier than poorer WCBA in South Africa between 1998 and 2016. It was found that UPF expenditure increased between 2005/6 and 2010/11, accounting for a substantial share of poorer households' expenditures than their wealthier counterparts over time. Although factors explaining socioeconomic inequality in the intergenerational transmission of overweight and obesity differed by offspring sex, intergenerational overweight and obesity occur more frequently among wealthier mother-offspring pairs than their poorer counterparts. Key factors explaining inequalities in intergenerational overweight and obesity include the mother's socioeconomic status, education and exercise habits. This study improves the empirical understanding of the burgeoning overweight and obesity challenges among women, especially in South Africa, who are likely to transmit them to their offspring. Policy to address these issues should not only be about health services but also focus on the social determinants of health inequalities.
- ItemOpen AccessAssessing catastrophic and impoverishing effects of health care payments in Uganda(BioMed Central, 2015-01-22) Kwesiga, Brendan; Zikusooka, Charlotte M; Ataguba, John EBackground: Direct out-of-pocket payments for health care are recognised as limiting access to health care services and also endangering the welfare of households. In Uganda, such payments comprise a large portion of total health financing. This study assesses the catastrophic and impoverishing impact of paying for health care out-of-pocket in Uganda. Methods: Using data from the Uganda National Household Surveys 2009/10, the catastrophic impact of out-of-pocket health care payments is defined using thresholds that vary with household income. The impoverishing effect of out-of-pocket health care payments is assessed using the Ugandan national poverty line and the World Bank poverty line ($1.25/day). Results: A high level and intensity of both financial catastrophe and impoverishment due to out-of-pocket payments are recorded. Using an initial threshold of 10% of household income, about 23% of Ugandan households face financial ruin. Based on both the $1.25/day and the Ugandan poverty lines, about 4% of the population are further impoverished by such payments. This represents a relative increase in poverty head count of 17.1% and 18.1% respectively. Conclusion: The absence of financial protection in Uganda’s health system calls for concerted action. Currently, out-of-pocket payments account for a large share of total health financing and there is no pooled prepayment system available. There is therefore a need to move towards mandatory prepayment. In this way, people could access the needed health services without any associated financial consequence.
- ItemOpen AccessAssessing medical impoverishment and associated factors in health care in Ethiopia(2020-03-30) Obse, Amarech G; Ataguba, John EAbstract Background About 5% of the global population, predominantly in low- and middle-income countries, is forced into poverty because of out-of-pocket (OOP) health spending. In most countries in sub-Saharan Africa, the share of OOP health spending in current health expenditure exceeds 35%, increasing the likelihood of impoverishment. In Ethiopia, OOP payments remained high at 37% of current health expenditure in 2016. This study assesses the impoverishment resulting from OOP health spending in Ethiopia and the associated factors. Methods This paper uses data from the Ethiopian Household Consumption Expenditure Survey (HCES) 2010/11. The HCES covered 10,368 rural and 17,664 urban households. OOP health spending includes spending on various outpatient and inpatient services. Impoverishing impact of OOP health spending was estimated by comparing poverty estimates before and after OOP health spending. A probit model was used to assess factors that are associated with impoverishment. Results Using the Ethiopian national poverty line of Birr 3781 per person per year (equivalent to US$2.10 per day), OOP health spending pushed about 1.19% of the population (i.e. over 957,169 individuals) into poverty. At the regional level, impoverishment ranged between 2.35% in Harari and 0.35% in Addis Ababa. Living in rural areas (highland, moderate, or lowland) increased the likelihood of impoverishment compared to residing in an urban area. Households headed by males and adults with formal education are less likely to be impoverished by OOP health spending, compared to their counterparts. Conclusion In Ethiopia, OOP health spending impoverishes a significant number of the population. Although the country had piloted and initiated many reforms, e.g. the fee waiver system and community-based health insurance, a significant proportion of the population still lacks financial protection. The estimates of impoverishment from out-of-pocket payments reported in this paper do not consider individuals that are already poor before paying out-of-pocket for health services. It is important to note that this population may either face deepening poverty or forgo healthcare services if a need arises. More is therefore required to provide financial protection to achieve universal health coverage in Ethiopia, where the informal sector is relatively large.
- ItemOpen AccessDecomposition of socioeconomic inequalities in cigarette smoking: the case of Namibia(2019-01-11) Chisha, Zunda; Nwosu, Chijioke O; Ataguba, John EBackground 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.
- ItemOpen AccessDistributional impact of health care finance in South Africa(2012) Ataguba, John E; Woolard, Ingrid; McIntyre, DiIn South Africa, health care is financed through different mechanisms - allocations from general taxes, private health insurance contributions and direct out-of-pocket payments. These mechanisms impact differently on different households. While there are empirical evidence in developed countries, the distributional impact of such payments and methodological challenges in such assessments in the context of Africa are scarce. Borrowing from the tax literature, the thesis aims to assess the relative impact of health care financing on households' welfare and standards of living. Methodological issues around the assessment of income redistributive impact of health care payments in the context of South Africa are also explored.
- ItemOpen AccessEquity in household spending on alcoholic beverages in South Africa: assessing changes between 1995 and 2011(2019-05-28) Fontes Marx, Mayara; London, Leslie; Harker, Nadine; Ataguba, John EAbstract Background Globally, alcohol consumption accounts for a substantial burden of disease, which translates into high social and economic costs. To address this burden, several policies (e.g. age and trading hour restrictions, increasing alcohol taxation) were implemented. Despite the existence of these policies evidence shows that alcohol misuse and alcohol-related harms have increased in South Africa over recent years. The objective of this paper is to assess progressivity and the changes in progressivity of alcohol expenditure at the household level in South Africa using datasets that span 15 years. Methods Data come from the 1995, 2000, 2005/06 and 2010/11 South Africa Income Expenditure Survey. Distribution of spending on alcoholic beverages were analyzed using standard methodologies. Changes in progressivity between 1995 and 2000, and between 2005/06 and 2010/11 were also assessed using the Kakwani index. Results Alcohol spending was regressive between 1995 and 2011 as the fraction of poorer households’ expenditure spent on alcohol beverage exceeds that for the richest households. Also, the difference in Kakwani indexes of progressivity indicates that spending on alcoholic beverages has become less regressive between the same time periods. Conclusion The results show no evidence that alcohol policy including taxation increased regressivity. Thus, there is an opportunity to further reduce the regressivity using coherent alcohol policies. This paper concludes that there is a need for further research to unpack why alcohol spending became less regressive over the years that goes beyond just looking at changes in the distribution of alcohol expenditure.
- ItemOpen AccessIncome redistributive effect of health care financing in Zambia(2015) Mulenga, Arnold; Ataguba, John EEquity in health care financing and progress towards universal health coverage (UHC) have increasingly received recognition and growing attention for their potential to improve health outcomes globally. However, most low income countries and in particular those in sub-Saharan Africa which have borne the greater share of global disease burden have had relatively lesser success in their endeavours to improve their health care financing systems. It is only a few that have made considerable progress towards universal health coverage. Zambia, a developing country struggling with income inequalities and poor progress to achieving universal health coverage, is no exception. The current discussion on countries moving toward universal health coverage, however, requires an understanding of the impact of the prevailing health care financing mechanisms on income distribution. Investigation of an overall income redistributive effect of health care financing thus requires assessing health care financing in relation to the principles of contributing to financing health care according to ability to pay. Zambia is currently considering major health systems reforms toward a universal health system. Health care financing system in Zambia is however faced with numerous challenges that must be addressed prior to meeting this goal. To promote the goal of achieving universal health coverage, there is a need to measure the extent of the redistributive effect of the current health care financing mechanisms. This allows identifying which health care financing mechanisms provide financial protection and promote universal health coverage in the country. With this growing focus on the goal of universal health coverage (UHC), health care financing mechanisms should not only relate to who pays and who receives the benefit, but also to their effects on income distribution. This is because financing of health care may have redistributive effects and equity consequences. This income redistribution may be intended or unintended. Even in the latter case, policy makers may be interested in the degree to which it occurs. This is because it has consequences for the distribution of goods and services other than health care and, ultimately, for welfare. This study investigates the extent to which the current health care financing in Zambia redistributes income, particularly whether or not it reduces income inequality. The study seeks to evaluate an overall pattern of income redistributive effect of the current health care financing mechanisms. It specifically assesses the income redistributive effect of two broad health care financing mechanisms; general tax and out of pocket (OOP) payments. Using a standard procedure for analyzing income redistribution of health care financing in Zambia, the study decomposes the income redistributive effect of each of the two broad health care financing mechanisms into the vertical, horizontal and reranking components.
- ItemOpen AccessInequalities in health and health risk factors in the Southern African Development Community: evidence from World Health Surveys(BioMed Central, 2018-04-27) Umuhoza, Stella M; Ataguba, John EAbstract Background Socioeconomic inequalities in health have been documented in many countries including those in the Southern African Development Community (SADC). However, a comprehensive assessment of health inequalities and inequalities in the distribution of health risk factors is scarce. This study specifically investigates inequalities both in poor self-assessed health (SAH) and in the distribution of selected risk factors of ill-health among the adult populations in six SADC countries. Methods Data come from the 2002/04 World Health Survey (WHS) using six SADC countries (Malawi, Mauritius, South Africa, Swaziland, Zambia and Zimbabwe) where the WHS was conducted. Poor SAH is reporting bad or very bad health status. Risk factors such as smoking, heavy drinking, low fruit and vegetable consumption and physical inactivity were considered. Other environmental factors were also considered. Socioeconomic status was assessed using household expenditures. Standardised and normalised concentration indices (CIs) were used to assess socioeconomic inequalities. A positive (negative) concentration index means a pro-rich (pro-poor) distribution where the variable is reported more among the rich (poor). Results Generally, a pro-poor socioeconomic inequality exists in poor SAH in the six countries. However, this is only significant for South Africa (CI = − 0.0573; p < 0.05), and marginally significant for Zambia (CI = − 0.0341; P < 0.1) and Zimbabwe (CI = − 0.0357; p < 0.1). Smoking and inadequate fruit and vegetable consumption were significantly concentrated among the poor. Similarly, the use of biomass energy, unimproved water and sanitation were significantly concentrated among the poor. However, inequalities in heavy drinking and physical inactivity are mixed. Overall, a positive relationship exists between inequalities in ill-health and inequalities in risk factors of ill-health. Conclusion There is a need for concerted efforts to tackle the significant socioeconomic inequalities in ill-health and health risk factors in the region. Because some of the determinants of ill-health lie outside the health sector, inter-sectoral action is required.
- ItemOpen AccessInequalities in multimorbidity in South Africa(BioMed Central Ltd, 2013) Ataguba, John EBACKGROUND: 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.
- ItemOpen AccessInequalities in multimorbidity in South Africa(BioMed Central, 2013-08-20) Ataguba, John EBackground: 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.
- ItemOpen AccessInequalities in public health care delivery in Zambia(BioMed Central, 2014-03-19) Phiri, Jane; Ataguba, John EBackground: Access to adequate health services that is of acceptable quality is important in the move towards universal health coverage. However, previous studies have revealed inequities in health care utilisation in the favour of the rich. Further, those with the greatest need for health services are not getting a fair share. In Zambia, though equity in access is extolled in government documents, there is evidence suggesting that those needing health services are not receiving their fair share. This study seeks therefore, to assess if socioeconomic related inequalities/inequities in public health service utilisation in Zambia still persist. Methods: The 2010 nationally representative Zambia Living Conditions and Monitoring Survey data are used. Inequality is assessed using concentration curves and concentrations indices while inequity is assessed using a horizontal equity index: an index of inequity across socioeconomic status groups, based on standardizing health service utilisation for health care need. Public health services considered include public health post visits, public clinic visits, public hospital visits and total public facility visits. Results: There is evidence of pro-poor inequality in public primary health care utilisation but a pro-rich inequality in hospital visits. The concentration indices for public health post visits and public clinic visits are −0.28 and −0.09 respectively while that of public hospitals is 0.06. After controlling for need, the pro-poor distribution is maintained at primary facilities and with a pro-rich distribution at hospitals. The horizontal equity indices for health post and clinic are estimated at −0.23 and −0.04 respectively while that of public hospitals is estimated at 0.11. A pro-rich inequity is observed when all the public facilities are combined (horizontal equity index = 0.01) though statistically insignificant. Conclusion: The results of the paper point to areas of focus in ensuring equitable access to health services especially for the poor and needy. This includes strengthening primary facilities that serve the poor and reducing access barriers to ensure that health care utilisation at higher-level facilities is distributed in accordance with need for it. These initiatives may well reduce the observed inequities and accelerate the move towards universal health coverage in Zambia.
- ItemOpen AccessInformal workers’ access to health care services: findings from a qualitative study in the Kassena-Nankana districts of Northern Ghana(BioMed Central, 2018-05-16) Akazili, James; Chatio, Samuel; Ataguba, John E; Agorinya, Isaiah; Kanmiki, Edmund W; Sankoh, Osman; Oduro, AbrahamBackground 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.
- ItemOpen AccessInvestigating family social capital and child health: a case study of South Africa(2017) Abewe, Christabell; Ataguba, John E; Foster, NicolaThe link between family social capital and child health has not been well investigated in developing countries. This study assessed socioeconomic inequalities in child health and in family social capital in South Africa. It also assessed the relationship between family social capital and child health. Four waves of the National Income Dynamics Study panel data were used to investigate the relationship between family social capital and child health. Socioeconomic inequalities were assessed using the concentration index. To assess the relationship between family social capital and child health, regressions models were fitted using a selected set of explanatory variables, including an index of family social capital. Child health in this study was operationalized to include: stunting, wasting, and parent-reported health of a child. Results showed that children from the poorest families bear the largest burden of stunting, wasting, and ill health. Similarly, children from poorer households possessed more family social capital when compared to children from more affluent families. Although family social capital was expected to improve child health, the study findings suggest that in South Africa, the socioeconomic status of a family has a greater effect on child health than family social capital.
- ItemOpen AccessInvestigating the relationship between self-rated health and social capital in South Africa: a multilevel panel data analysis(2015-03-19) Lau, Yan K; Ataguba, John EAbstract Background The relationship between social capital and self-rated health has been documented in many developed compared to developing countries. Because social capital and health play important roles in development, it may be valuable to study their relationship in the context of a developing country with poorer health status. Further, the role of social capital research for health policy has not received much attention. This paper therefore examines the relationship between social capital and health in South Africa, a country with the history of colonialism and apartheid that has contributed to the social disintegration and destruction of social capital. Methods This study uses data from the National Income Dynamics Study (NIDS), the first nationally representative panel study in South Africa. Two waves of the NIDS were used in this paper – Wave 1 (2008) and Wave 2 (2010). Self-rated health, social capital (individual- and contextual-level), and other covariates related to the social determinants of health (SDH) were obtained from the NIDS. Individual-level social capital included group participation, personalised trust and generalised trust while contextual-level or neighbourhood-level social capital was obtained by aggregating from the individual-level and household-level social capital variables to the neighbourhood. Mixed effects models were fitted to predict self-rated health in Wave 2, using lagged covariates (from Wave 1). Results Individual personalised trust, individual community service group membership and neighbourhood personalised trust were beneficial to self-rated health. Reciprocity, associational activity and other types of group memberships were not found to be significantly associated with self-rated health in South Africa. Results indicate that both individual- and contextual-level social capital are associated with self-rated health. Conclusion Policy makers may want to consider policies that impact socioeconomic conditions as well as social capital. Some of these policies are linked to the SDH. We contend that the significant social capital including community service membership can be encouraged through policy in a way that is in line with the values of the people. This is likely to impact on health and quality of life generally and lead to a reduction in the burden of disease in South Africa considering the historic context of the country.
- ItemOpen AccessMonitoring and evaluating progress towards universal health coverage in South Africa(Public Library of Science, 2014) Ataguba, John E; Day, Candy; McIntyre, DiThis paper is a country case study for the Universal Health Coverage Collection, organized by WHO. John E. Ataguba and colleagues illustrate progress towards UHC and its monitoring and evaluation in South Africa. Please see later in the article for the Editors' Summary
- ItemOpen AccessOverweight and obesity in non-pregnant women of childbearing age in South Africa: subgroup regression analyses of survey data from 1998 to 2017(2022-02-25) Nglazi, Mweete D; Ataguba, John EBackground 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.
- ItemOpen AccessProgressivity and determinants of out-of-pocket health care financing in Zambia(2010) Mwenge, Felix; Ataguba, John EThe need for health care financing mechanisms that are progressive in Zambia cannot be over-emphasized. It is necessary that health care financing mechanisms are in such a way that they are related to ability to pay. This is an equity objective. This is the main motivation for this study. It is envisaged that this study will provide empirical evidence on the progressivity and determinants of OOP payments. This information is important for policy making regarding health care financing.
- ItemOpen AccessSocioeconomic inequalities in maternal health service utilisation: a case of antenatal care in Nigeria using a decomposition approach(2019-11-08) Nwosu, Chijioke O; Ataguba, John EAbstract Background Antenatal care (ANC) services are critical for maternal health but Nigeria performs poorly in ANC utilisation compared to other countries in sub-Saharan Africa. This study aimed to assess socioeconomic inequalities in ANC utilisation and the determinants of these inequalities in Nigeria. Methods The 2013 Nigeria Demographic and Health Survey data with 18,559 women was used for analysis. The paper used concentration curves and indices for different measures of ANC utilisation (no ANC visit, 1–3 ANC visits, at least four ANC visits, and the number of ANC visits). A positive (or negative) concentration index means that the measure of ANC utilisation was concentrated on the richer (poorer) population compared to their poorer (richer) counterparts. The concentration indices were also decomposed using standard methodologies to examine the significant determinants of the socioeconomic inequalities in no ANC visit, at least four ANC visits, and the number of ANC visits. Results No ANC visit was disproportionately concentrated among the poor (concentration index (CI) = − 0.573), whereas at least four ANC visits (CI = 0.582) and a higher number of ANC visits (CI = 0.357) were disproportionately concentrated among the rich. While these results were consistent across all the geopolitical zones and rural and urban areas, the inequalities were more prevalent in the northern zones (which also have the highest incidence of poverty in the country) and the rural areas. The significant contributors to inequalities in ANC utilisation were the zone of residence, wealth, women’s education (especially secondary) and employment, urban-rural residence, ethnicity, spousal education, and problems with obtaining permission to seek health care and distance to the clinic. Conclusions Addressing wealth inequalities, enhancing literacy, employment and mitigating spatial impediments to health care use will reduce socioeconomic inequalities in ANC utilisation in Nigeria. These factors are the social determinants of health inequalities. Thus, a social determinants of health approach is needed to address socioeconomic inequalities in ANC coverage in Nigeria.
- ItemOpen AccessWho pays for and who benefits from health care services in Uganda?(BioMed Central, 2015-02-01) Kwesiga, Brendan; Ataguba, John E; Abewe, Christabel; Kizza, Paul; Zikusooka, Charlotte MBackground: Equity in health care entails payment for health services according to the capacity to pay and the receipt of benefits according to need. In Uganda, as in many African countries, although equity is extolled in government policy documents, not much is known about who pays for, and who benefits from, health services. This paper assesses both equity in the financing and distribution of health care benefits in Uganda. Methods: Data are drawn from the most recent nationally representative Uganda National Household Survey 2009/10. Equity in health financing is assessed considering the main domestic health financing sources (i.e., taxes and direct out-of-pocket payments). This is achieved using bar charts and standard concentration and Kakwani indices. Benefit incidence analysis is used to assess the distribution of health services for both public and non-public providers across socio-economic groups and the need for care. Need is assessed using limitations in functional ability while socioeconomic groups are created using per adult equivalent consumption expenditure. Results: Overall, health financing in Uganda is marginally progressive; the rich pay more as a proportion of their income than the poor. The various taxes are more progressive than out-of-pocket payments (e.g., the Kakwani index of personal income tax is 0.195 compared with 0.064 for out-of-pocket payments). However, taxes are a much smaller proportion of total health sector financing compared with out-of-pocket payments. The distribution of total health sector services benefitsis pro-rich. The richest quintile receives 19.2% of total benefits compared to the 17.9% received by the poorest quintile. The rich also receive a much higher share of benefits relative to their need. Benefits from public health units are pro-poor while hospital based care, in both public and non-public sectors are pro-rich. Conclusion: There is a renewed interest in ensuring equity in the financing and use of health services. Based on the results in this paper, it would seem that in order to safeguard such equity, there is a need for policy that focuses on addressing the health needs of the poor while continuing to ensure that the burden of financing health services does not rest disproportionately on the poor.