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      Households forgoing healthcare as a measure of financial risk protection: an application to Liberia

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          Abstract

          Introduction

          Access to Liberia’s health system is reliant on out-of-pocket (OOP) health expenditures which may prevent people from seeking care or result in catastrophic health expenditure (CHE). CHE and impoverishment due to OOP, which are used by the World Bank and World Health Organization as the sole measures of financial risk protection, are limited: they do not consider households who, following a health shock, do not incur expenditure because they cannot access the healthcare services they need (i.e., households forgoing healthcare (HFH) services). This paper attempts to overcome this limitation and improve financial risk protection by measuring HFH incidence and comparing it with CHE standard measures using household survey data from Liberia.

          Methods

          Data from the Liberia Household Income and Expenditure Survey 2014 were analysed. An OOP health expenditure is catastrophic when it exceeds a total or non-food household expenditure threshold. A CHE incidence curve, representing CHE incidence at different thresholds, was developed. To overcome CHE limitations, an HFH incidence measure was developed based on CHE, OOP and health shocks data: households incurring health shocks and having negligible OOP were considered to have forgone healthcare. HFH incidence was compared with standard CHE measures.

          Results

          CHE incidence and intensity levels depend on the threshold used. Using a 30% non-food expenditure threshold, CHE incidence is 2.1% (95% CI: 1.7–2.5%) and CHE intensity is 37.4% (95% CI: 22.7–52.0%). CHE incidence is approximately in line with other countries, while CHE intensity is higher than in other countries. CHE pushed 1.6% of households below the food poverty line in 2014. c approximately 4 times higher than CHE (8.0, 95% CI, 7.2–8.9%).

          Conclusion

          Lack of financial risk protection is a significant problem in Liberia and it may be underestimated by CHE: this study confirms that HFH incidence can complement CHE measures in providing a complete picture of financial risk protection and demonstrates a simple method that includes measures of healthcare forgone as part of standard CHE analyses. This paper provides a new methodology to measure HFH incidence and highlights the need to consider healthcare forgone in analyses of financial risk protection, as well as the need for further development of these measures.

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          Most cited references14

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          The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality.

          When the health sector variable whose inequality is being investigated is binary, the minimum and maximum possible values of the concentration index are equal to micro-1 and 1-micro, respectively, where micro is the mean of the variable in question. Thus as the mean increases, the range of the possible values of the concentration index shrinks, tending to zero as the mean tends to one and the concentration index tends to zero. Examples are presented on levels of and inequalities in immunization across 41 developing countries, and on changes in coverage and inequalities in selected countries. Copyright (c) 2004 John Wiley & Sons, Ltd.
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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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              What Is the Role of Informal Healthcare Providers in Developing Countries? A Systematic Review

              Informal health care providers (IPs) comprise a significant component of health systems in developing nations. Yet little is known about the most basic characteristics of performance, cost, quality, utilization, and size of this sector. To address this gap we conducted a comprehensive literature review on the informal health care sector in developing countries. We searched for studies published since 2000 through electronic databases PubMed, Google Scholar, and relevant grey literature from The New York Academy of Medicine, The World Bank, The Center for Global Development, USAID, SHOPS (formerly PSP-One), The World Health Organization, DFID, Human Resources for Health Global Resource Center. In total, 334 articles were retrieved, and 122 met inclusion criteria and chosen for data abstraction. Results indicate that IPs make up a significant portion of the healthcare sector globally, with almost half of studies (48%) from Sub-Saharan Africa. Utilization estimates from 24 studies in the literature of IP for healthcare services ranged from 9% to 90% of all healthcare interactions, depending on the country, the disease in question, and methods of measurement. IPs operate in a variety of health areas, although baseline information on quality is notably incomplete and poor quality of care is generally assumed. There was a wide variation in how quality of care is measured. The review found that IPs reported inadequate drug provision, poor adherence to clinical national guidelines, and that there were gaps in knowledge and provider practice; however, studies also found that the formal sector also reported poor provider practices. Reasons for using IPs included convenience, affordability, and social and cultural effects. Recommendations from the literature amount to a call for more engagement with the IP sector. IPs are a large component of nearly all developing country health systems. Research and policies of engagement are needed.
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                Author and article information

                Contributors
                jg1671@york.ac.uk
                Journal
                Int J Equity Health
                Int J Equity Health
                International Journal for Equity in Health
                BioMed Central (London )
                1475-9276
                10 December 2019
                10 December 2019
                2019
                : 18
                : 193
                Affiliations
                [1 ]ISNI 0000 0004 1936 9668, GRID grid.5685.e, Centre for Health Economics, , University of York, ; York, UK
                [2 ]ISNI 0000 0004 0425 469X, GRID grid.8991.9, London School of Hygiene & Tropical Medicine, ; London, UK
                Author information
                http://orcid.org/0000-0001-7461-7300
                Article
                1095
                10.1186/s12939-019-1095-y
                6902593
                31823823
                5841b58d-d888-4625-99d6-00c35488314e
                © The Author(s). 2019

                Open AccessThis 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
                : 2 July 2019
                : 18 November 2019
                Categories
                Research
                Custom metadata
                © The Author(s) 2019

                Health & Social care
                health financing,equity,liberia,impoverishment,catastrophic health expenditure,forgoing healthcare,financial risk protection

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