Cited by 76Healthcare Systems and ReformsPublic Health and Social InequalitiesHealthcare Policy and Management

Does the distribution of healthcare utilization match needs in Africa?

Bonfrer, Igna, van de Poel, Ellen, Grimm, Michael, Van Doorslaer, Eddy·2014·Health Policy and Planning

Abstract

An equitable distribution of healthcare use, distributed according to people's needs instead of ability to pay, is an important goal featuring on many health policy agendas worldwide. However, relatively little is known about the extent to which this principle is violated across socio-economic groups in Sub-Saharan Africa (SSA). We examine cross-country comparative micro-data from 18 SSA countries and find that considerable inequalities in healthcare use exist and vary across countries. For almost all countries studied, healthcare utilization is considerably higher among the rich. When decomposing these inequalities we find that wealth is the single most important driver. In 12 of the 18 countries wealth is responsible for more than half of total inequality in the use of care, and in 8 countries wealth even explains more of the inequality than need, education, employment, marital status and urbanicity together. For the richer countries, notably Mauritius, Namibia, South Africa and Swaziland, the contribution of wealth is typically less important. As the bulk of inequality is not related to need for care and poor people use less care because they do not have the ability to pay, healthcare utilization in these countries is to a large extent unfairly distributed. The weak average relationship between need for and use of health care and the potential reporting heterogeneity in self-reported health across socio-economic groups imply that our findings are likely to even underestimate actual inequities in health care. At a macro level, we find that a better match of needs and use is realized in those countries with better governance and more physicians. Given the absence of social health insurance in most of these countries, policies that aim to reduce inequities in access to and use of health care must include an enhanced capacity of the poor to generate income.

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Crossref · 10.1093/heapol/czt074

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  • The observed drop-off when analyzing the cascade of respondents who express symptoms, to those who seek facility-based care, to those who are treated by a trained healthcare provider, is also observed in similar research contexts.

    “Additionally, the observed drop-off when analyzing the cascade of respondents who express symptoms, to those who seek facility-based care, to those who are treated by a trained healthcare provider, is also observed in similar research contexts [30–32].”

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Authors
Bonfrer, I., van de Poel, E., Grimm, M., & Van Doorslaer, E.
Affiliations
University of Passau (DE)
Corresponding author
Bonfrer, Igna
Venue
Health Policy and Planning
Published
2013-10-09
Volume
29
Issue
7
Pages
921-937
ISSN
  • 0268-1080 (ISSN-L)
  • 1460-2237
OpenAlex
W2135838706
Cited by
76
References
2
Citations by year
2026: 2 · 2025: 1 · 2024: 13 · 2023: 10 · 2022: 6 · 2021: 10 · 2020: 11 · 2019: 6 · 2018: 5 · 2017: 4 · 2016: 3 · 2015: 4 · 2014: 1
FWCI
4.66
Type
journal article
Language
en
Open access
closed
Locations
  • Health Policy and Planning (publishedVersion)
  • PubMed (publishedVersion)
  • EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
Funders
World Health Organization
Topics
  • Social Sciences › Economics, Econometrics and Finance › Finance › Healthcare Systems and Reforms
  • Social Sciences › Health › Public Health and Social Inequalities
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Healthcare Policy and Management
Keywords
health care utilization, health equity, need-based allocation, wealth inequality, sub-Saharan Africa, self-reported health, health governance, physician supply, social health insurance, health care access, income generation
MeSH terms
Delivery of Health Care, Health Services Needs and Demand, Humans, Poverty, Models, Statistical, Africa South of the Sahara, Resource Allocation, Healthcare Disparities

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