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      Assessing the incidence of catastrophic health expenditure and impoverishment from out-of-pocket payments and their determinants in Bangladesh: evidence from the nationwide Household Income and Expenditure Survey 2016

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          Abstract

          Background

          Out-of-pocket (OOP) payments for healthcare have been increasing steadily in Bangladesh, which deteriorates the financial risk protection of many households.

          Methods

          We aimed to investigate the incidence of catastrophic health expenditure (CHE) and impoverishment from OOP payments and their determinants. We employed nationally representative Household Income and Expenditure Survey 2016 data with a sample of 46 076 households. A household that made OOP payments of >10% of its total or 40% of its non-food expenditure was considered to be facing CHE. We estimated the impoverishment using both national and international poverty lines. Multiple logistic models were employed to identify the determinants of CHE and impoverishment.

          Results

          The incidence of CHE was estimated as 24.6% and 10.9% using 10% of the total and 40% of non-food expenditure as thresholds, respectively, and these were concentrated among the poor. About 4.5% of the population (8.61 million) fell into poverty during 2016. Utilization of private facilities, the presence of older people, chronic illness and geographical location were the main determinants of both CHE and impoverishment.

          Conclusion

          The financial hardship due to OOP payments was high and it should be reduced by regulating the private health sector and covering the care of older people and chronic illness by prepayment-financing mechanisms.

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          Most cited references76

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          Estimating wealth effects without expenditure data—or tears: An application to educational enrollments in states of India

          Using data from India, we estimate the relationship between household wealth and children’s school enrollment. We proxy wealth by constructing a linear index from asset ownership indicators, using principal-components analysis to derive weights. In Indian data this index is robust to the assets included, and produces internally coherent results. State-level results correspond well to independent data on per capita output and poverty. To validate the method and to show that the asset index predicts enrollments as accurately as expenditures, or more so, we use data sets from Indonesia, Pakistan, and Nepal that contain information on both expenditures and assets. The results show large, variable wealth gaps in children’s enrollment across Indian states. On average a “rich” child is 31 percentage points more likely to be enrolled than a “poor” child, but this gap varies from only 4.6 percentage points in Kerala to 38.2 in Uttar Pradesh and 42.6 in Bihar.
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            Constructing socio-economic status indices: how to use principal components analysis.

            Theoretically, measures of household wealth can be reflected by income, consumption or expenditure information. However, the collection of accurate income and consumption data requires extensive resources for household surveys. Given the increasingly routine application of principal components analysis (PCA) using asset data in creating socio-economic status (SES) indices, we review how PCA-based indices are constructed, how they can be used, and their validity and limitations. Specifically, issues related to choice of variables, data preparation and problems such as data clustering are addressed. Interpretation of results and methods of classifying households into SES groups are also discussed. PCA has been validated as a method to describe SES differentiation within a population. Issues related to the underlying data will affect PCA and this should be considered when generating and interpreting results.
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              Household catastrophic health expenditure: a multicountry analysis.

              Health policy makers have long been concerned with protecting people from the possibility that ill health will lead to catastrophic financial payments and subsequent impoverishment. Yet catastrophic expenditure is not rare. We investigated the extent of catastrophic health expenditure as a first step to developing appropriate policy responses. We used a cross-country analysis design. Data from household surveys in 59 countries were used to explore, by regression analysis, variables associated with catastrophic health expenditure. We defined expenditure as being catastrophic if a household's financial contributions to the health system exceed 40% of income remaining after subsistence needs have been met. The proportion of households facing catastrophic payments from out-of-pocket health expenses varied widely between countries. Catastrophic spending rates were highest in some countries in transition, and in certain Latin American countries. Three key preconditions for catastrophic payments were identified: the availability of health services requiring payment, low capacity to pay, and the lack of prepayment or health insurance. People, particularly in poor households, can be protected from catastrophic health expenditures by reducing a health system's reliance on out-of-pocket payments and providing more financial risk protection. Increase in the availability of health services is critical to improving health in poor countries, but this approach could raise the proportion of households facing catastrophic expenditure; risk protection policies would be especially important in this situation.
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                Author and article information

                Contributors
                Journal
                Int Health
                Int Health
                inthealth
                International Health
                Oxford University Press
                1876-3413
                1876-3405
                January 2022
                06 April 2021
                06 April 2021
                : 14
                : 1
                : 84-96
                Affiliations
                Liverpool School of Tropical Medicine , Liverpool, UK
                Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet , Stockholm, Sweden
                Oxford University Clinical Research Unit (OUCRU) , Ho Chi Minh City 700000, Vietnam
                Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford , Oxford OX3 7BN, UK
                Health Economics and Financing Research, Health Systems and Population Studies Division , icddr, b, Dhaka, Bangladesh
                Health Economics and Financing Research, Health Systems and Population Studies Division , icddr, b, Dhaka, Bangladesh
                Health Economics and Financing Research, Health Systems and Population Studies Division , icddr, b, Dhaka, Bangladesh
                Health Economics and Financing Research, Health Systems and Population Studies Division , icddr, b, Dhaka, Bangladesh
                Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet , Stockholm, Sweden
                Liverpool School of Tropical Medicine , Liverpool, UK
                Department of International Health, Johns Hopkins School of Public Health , USA
                Liverpool School of Tropical Medicine , Liverpool, UK
                Department of Learning, Informatics, Management and Ethics (LIME), Karolinska Institutet , Stockholm, Sweden
                School of Public Health and Community Medicine, University of Gothenburg , Gothenburg, Sweden
                Author notes
                Corresponding author: Tel.: +447769767797; E-mail: sayem.ahmed@ 123456lstmed.ac.uk
                Author information
                https://orcid.org/0000-0001-9499-1500
                Article
                ihab015
                10.1093/inthealth/ihab015
                8769950
                33823538
                ef82c629-4581-4586-8c32-a69f6c52a417
                © The Author(s) 2021. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 24 July 2020
                : 01 February 2021
                : 08 March 2021
                Page count
                Pages: 13
                Funding
                Funded by: Orange County Community College, DOI 10.13039/100010966;
                Categories
                Original Article
                AcademicSubjects/MED00390

                Medicine
                bangladesh,catastrophic health expenditure,healthcare financing,impoverishment,out-of-pocket payments

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