The DOI matches its Crossref record; 25 of the 26 references it cites were found in a registry or an index.
Catastrophic health expenditure and its determinants in Kenya slum communities
Open accessAbstract
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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“External results from studies conducted in similar research contexts cite high visit costs as a primary deterrent from seeking medical care [30, 33, 34].”
From Community and facility-level barriers to achieving UHC in Kono District, Sierra Leone and Maryland County, Liberia (2023) · cites this paper as [34]
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Household catastrophic health expenditure: a multicountry analysis
Xu, K., EVANS, D. B., Kawabata, K., Zeramdini, R., Klavus, J., & Murray, C. J. L. (2003) · The Lancet · doi:10.1016/s0140-6736(03)13861-5 · Cited by 2,322
Kenya Demographic and Health Survey 1989
Kenya, & Std Control Programme (1989) · Cited by 1,756
Catastrophe and impoverishment in paying for health care: with applications to Vietnam 1993–1998
Wagstaff, A. R., & van Doorslaer, E. K. A. (2003) · Health Economics · doi:10.1002/hec.776 · Cited by 1,228
Health systems performance assessment: debates, methods and empiricism.
Murray, C. J. L., & EVANS, D. B. (2003) · Cited by 855
Obonyo, J. (2010) · Cited by 732
Coping with out-of-pocket health payments: empirical evidence from 15 African countries
Leive, A. A. (2008) · Bulletin of the World Health Organization · doi:10.2471/blt.07.049403 · Cited by 467
Ravallion, M. D., Chen, S., & Sangraula, P. P. (2009) · The World Bank Economic Review · doi:10.1093/wber/lhp007 · Cited by 457
Li, Y., Wu, Q., Xu, L., Legge, D., Hao, Y., Gao, L., Ning, N., & Wan, G. (2012) · Bulletin of the World Health Organization · doi:10.2471/blt.12.102178 · Cited by 419
Su, T. T. (2004) · Bulletin of the World Health Organization · doi:10.2471/blt.05.023739 · Cited by 379
King, G., Gakidou, E. E., Imai, K., Lakin, J. M., Moore, R. T., Nall, C., Ravishankar, N., Vargas, M., Téllez‐Rojo, M. M., Hernández‐Ávila, J. E., et al. (2009) · The Lancet · doi:10.1016/s0140-6736(09)60239-7 · Cited by 320
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1 of the 26 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- Candiracci S, Syrjänen R. UN-HABITAT and the Kenya Slum Upgrading Programme. Nairobi: United Nations Human Settlements Programme (UN-HABITAT); 2007.
- Kimani NG. Environmental pollution and impacts on public health: implications of the Dandora Municipal Dumping Site in Nairobi, Kenya. Nairobi: United Nations Environmental Programme; 2007.
- Maoulidi M. Kisumu millennium development goals multi-sector household survey. New York: Earth Institute, Columbia University; 2012.
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Trends in catastrophic health expenditure in India: 1993 to 2014
Pandey, A., Ploubidis, G. B., Clarke, L., & Dandona, L. (2018) · Bulletin of the World Health Organization · doi:10.2471/blt.17.191759 · Cited by 238
Barasa, E. W., Maina, T., & Ravishankar, N. (2017) · International Journal for Equity in Health · doi:10.1186/s12939-017-0526-x · Cited by 173
Determinants of Household Catastrophic Health Expenditure: A Systematic Review
Azzani, M., Roslani, A. C., & Su, T. T. (2019) · Malaysian Journal of Medical Sciences · doi:10.21315/mjms2019.26.1.3 · Cited by 144
Kumar, K., Singh, A. K., Kumar, S., Ram, F., Singh, A., Ram, U., Negin, J., & Kowal, P. R. (2015) · PLoS ONE · doi:10.1371/journal.pone.0135051 · Cited by 127
Njagi, P., Arsenijevic, J., & Groot, W. N. J. (2018) · Systematic Reviews · doi:10.1186/s13643-018-0799-1 · Cited by 123
Metadata
- Authors
- Buigut, S., Ettarh, R., & Amendah, D. D.
- Affiliations
- American University in Dubai (AE)
- African Population and Health Research Center (KE)
- Corresponding author
- Amendah, Djesika D
- Venue
- International Journal for Equity in Health
- Published
- 2015-05-14
- Volume
- 14
- Issue
- 1
- Pages
- 46-46
- ISSN
- 1475-9276 (ISSN-L)
- PMC
- PMC4438568
- OpenAlex
- W2125617054
- Cited by
- 174
- References
- 26
- Citations by year
- 2026: 7 · 2025: 13 · 2024: 11 · 2023: 26 · 2022: 19 · 2021: 24 · 2020: 18 · 2019: 21 · 2018: 16 · 2017: 12 · 2016: 5 · 2015: 2
- FWCI
- 22.33
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- International Journal for Equity in Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Greater South Information System
- Funders
- Eli Lilly and Company
- William and Flora Hewlett Foundation
- Styrelsen för Internationellt Utvecklingssamarbete
- African Population and Health Research Center
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Healthcare Systems and Reforms
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic and Financial Impacts of Cancer
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
- Keywords
- catastrophic health expenditure, out-of-pocket health payments, informal settlements, slum communities, Kenya, social safety nets, hospital care, health care access, health equity
- MeSH terms
- Adult, Catastrophic Illness, Health Expenditures, Female, Financing, Personal, Humans, Kenya, Male, Middle Aged, Poverty Areas, Surveys and Questionnaires, Logistic Models
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