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      Incidence, socio-economic inequalities and determinants of catastrophic health expenditure and impoverishment for diabetes care in South Africa: a study at two public hospitals in Tshwane

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          Abstract

          Background

          Direct out of pocket (OOP) payments for healthcare may cause financial hardship. For diabetic patients who require frequent visits to health centres, this is of concern as OOP payments may limit access to healthcare. This study assesses the incidence, socio-economic inequalities and determinants of catastrophic health expenditure and impoverishment amongst diabetic patients in South Africa.

          Methods

          Data were taken from a cross-sectional survey conducted in 2017 at two public hospitals in Tshwane, South Africa ( N = 396). Healthcare costs and transport costs related to diabetes care were classified as catastrophic if they exceeded the 10% threshold of household’s capacity to pay (WHO standard method) or if they exceeded a variable threshold of total household expenditure (Ataguba method). Erreygers concentration indices (CIs) were used to assess socio-economic inequalities. A multivariate logistic regression was applied to identify the determinants of catastrophic health expenditure and impoverishment.

          Results

          Transport costs contributed to over 50% of total healthcare costs. The incidence of catastrophic health expenditure was 25% when measured at a 10% threshold of capacity to pay and 13% when measured at a variable threshold of total household expenditure. Depending on the method used, the incidence of impoverishment varied from 2 to 4% and the concentration index for catastrophic health expenditure varied from − 0.2299 to − 0.1026. When measured at a 10% threshold of capacity to pay factors associated with catastrophic health expenditure were being female (Odds Ratio 1.73; Standard Error 0.51), being within the 3rd (0.49; 0.20), 4th (0.31; 0.15) and 5th wealth quintile (0.30; 0.17). When measured using a variable threshold of total household expenditure factors associated with catastrophic health expenditure were not having children (3.35; 1.82) and the 4th wealth quintile (0.32; 0.21).

          Conclusion

          Financial protection of diabetic patients in public hospitals is limited. This observation suggests that health financing interventions amongst diabetic patients should target the poor and poor women in particular. There is also a need for targeted interventions to improve access to healthcare facilities for diabetic patients and to reduce the financial impact of transport costs when seeking healthcare. This is particularly important for the achievement of universal health coverage in South Africa.

          Electronic supplementary material

          The online version of this article (10.1186/s12939-019-0977-3) contains supplementary material, which is available to authorized users.

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          Most cited references36

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          conindex: Estimation of concentration indices.

          Concentration indices are frequently used to measure inequality in one variable over the distribution of another. Most commonly, they are applied to the measurement of socioeconomic-related inequality in health. We introduce a user-written Stata command conindex which provides point estimates and standard errors of a range of concentration indices. The command also graphs concentration curves (and Lorenz curves) and performs statistical inference for the comparison of inequality between groups. The article offers an accessible introduction to the various concentration indices that have been proposed to suit different measurement scales and ethical responses to inequality. The command's capabilities and syntax are demonstrated through analysis of wealth-related inequality in health and healthcare in Cambodia.
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            Using an Asset Index to Assess Trends in Poverty in Seven Sub-Saharan African Countries

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              Catastrophic health expenditure and its determinants in Kenya slum communities

              Background In Kenya, where 60 to 80% of the urban residents live in informal settlements (frequently referred to as slums), out-of-pocket (OOP) payments account for more than a third of national health expenditures. However, little is known on the extent to which these OOP payments are associated with personal or household financial catastrophe in the slums. This paper seeks to examine the incidence and determinants of catastrophic health expenditure among urban slum communities in Kenya. Methods We use a unique dataset on informal settlement residents in Kenya and various approaches that relate households OOP payments for healthcare to total expenditures adjusted for subsistence, or income. We classified households whose OOP was in excess of a predefined threshold as facing catastrophic health expenditures (CHE), and identified the determinants of CHE using multivariate logistic regression analysis. Results The results indicate that the proportion of households facing CHE varies widely between 1.52% and 28.38% depending on the method and the threshold used. A core set of variables were found to be key determinants of CHE. The number of working adults in a household and membership in a social safety net appear to reduce the risk of catastrophic expenditure. Conversely, seeking care in a public or private hospital increases the risk of CHE. Conclusion This study suggests that a substantial proportion of residents of informal settlements in Kenya face CHE and would likely forgo health care they need but cannot afford. Mechanisms that pool risk and cost (insurance) are needed to protect slum residents from CHE and improve equity in health care access and payment.
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                Author and article information

                Contributors
                CMutyambizi@hsrc.ac.za
                m.pavlova@maastrichtuniversity.nl
                chongoro@hsrc.ac.za
                frederik.booysen@wits.ac.za
                w.groot@maastrichtuniversity.nl
                Journal
                Int J Equity Health
                Int J Equity Health
                International Journal for Equity in Health
                BioMed Central (London )
                1475-9276
                22 May 2019
                22 May 2019
                2019
                : 18
                : 73
                Affiliations
                [1 ]ISNI 0000 0001 0071 1142, GRID grid.417715.1, Research Use and Impact Assessment, Human Sciences Research Council, ; HSRC Building, 134 Pretorius Street, Pretoria, 0002 South Africa
                [2 ]ISNI 0000 0001 0481 6099, GRID grid.5012.6, Department of Health Services Research, CAPHRI, Maastricht University Medical Centre, Faculty of Health, Medicine and Life Sciences, , Maastricht University, ; Maastricht, The Netherlands
                [3 ]ISNI 0000 0004 1937 1135, GRID grid.11951.3d, School of Economic and Business Sciences, , University of the Witwatersrand, ; Johannesburg, South Africa
                Author information
                http://orcid.org/0000-0003-4749-7280
                Article
                977
                10.1186/s12939-019-0977-3
                6530010
                31118033
                6b3654eb-502f-4f48-869e-287452915f3c
                © The Author(s). 2019

                Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 20 November 2018
                : 2 May 2019
                Funding
                Funded by: Human Sciences Research Council
                Categories
                Research
                Custom metadata
                © The Author(s) 2019

                Health & Social care
                diabetes,catastrophic health expenditure,impoverishment,inequality,south africa

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