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      Investigating determinants of catastrophic health spending among poorly insured elderly households in urban Nigeria

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          Abstract

          Background

          In the absence of functional social security mechanisms for elderly people in Nigeria, elderly households are solely responsible for geriatric healthcare costs, which can lead to catastrophic health expenditures (CHE) – particularly among the poor. This study investigates the key determinants of CHE among poorly insured elderly households in Nigeria. We also offer some policy options for reducing the risk of CHE.

          Methods

          Data on out-of pocket payments and self-reported health status were sourced from the Nigerian General Household Panel Survey (NGHPS) in Nigeria, conducted by the National Bureau of Statistics in 2010, with technical support from the World Bank. CHE was defined at the 10 % of total consumption expenditure threshold. The determinants of CHE and their marginal effects were investigated using probit regressions. An elderly household is defined as a household with at least one elderly member ≥ 50 years old.

          Results

          The proportion of elderly households with CHE is 9.6 %. Poorer and smaller elderly households were most at risk of CHE. Female-headed households were less likely to incur CHE compared to male-headed households ( p < 0.01). Conversely, households with informal health financing arrangements were less likely to incur CHE ( p < 0.001). Education and utilising a health promoting tool, such as treated bednets increased the probability of incurring CHE in Urban Nigeria.

          Conclusion

          Findings from this paper should prompt policy action to financially support poor elderly households at risk of CHE in Urban Nigeria. The Nigerian government should enhance the national health insurance scheme to provide better coverage for elderly people, thereby protecting elderly households from incurring CHE.

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          Most cited references47

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          The Economic Lives of the Poor.

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            Interaction terms in nonlinear models.

            To explain the use of interaction terms in nonlinear models. We discuss the motivation for including interaction terms in multivariate analyses. We then explain how the straightforward interpretation of interaction terms in linear models changes in nonlinear models, using graphs and equations. We extend the basic results from logit and probit to difference-in-differences models, models with higher powers of explanatory variables, other nonlinear models (including log transformation and ordered models), and panel data models. EMPIRICAL APPLICATION: We show how to calculate and interpret interaction effects using a publicly available Stata data set with a binary outcome. Stata 11 has added several features which make those calculations easier. LIMDEP code also is provided. It is important to understand why interaction terms are included in nonlinear models in order to be clear about their substantive interpretation. © Health Research and Educational Trust.
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              Income Risk, Coping Strategies, and Safety Nets

              S. Dercon (2002)
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                Author and article information

                Contributors
                lqxooad@nottingham.ac.uk
                Journal
                Int J Equity Health
                Int J Equity Health
                International Journal for Equity in Health
                BioMed Central (London )
                1475-9276
                15 September 2015
                15 September 2015
                2015
                : 14
                : 79
                Affiliations
                School of Sociology, and Social Policy, University of Nottingham, University Park Campus, Nottingham, NG7 2RD UK
                Article
                188
                10.1186/s12939-015-0188-5
                4570723
                26370774
                874b8771-3aa2-4ada-88e9-6b0822fb5713
                © Adisa. 2015

                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
                : 22 April 2015
                : 17 July 2015
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2015

                Health & Social care
                catastrophic health expenditures,informal health care financing,poverty,elderly households,urban nigeria

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