Literature DB >> 24115777

Does the distribution of healthcare utilization match needs in Africa?

Igna Bonfrer1, Ellen van de Poel2, Michael Grimm3, Eddy Van Doorslaer3.   

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. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine
© The Author 2013; all rights reserved.

Entities:  

Keywords:  Africa; Healthcare utilization; decomposition; inequality; need

Mesh:

Year:  2013        PMID: 24115777     DOI: 10.1093/heapol/czt074

Source DB:  PubMed          Journal:  Health Policy Plan        ISSN: 0268-1080            Impact factor:   3.344


  24 in total

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Journal:  Blood Cells Mol Dis       Date:  2021-09-21       Impact factor: 3.039

4.  Inequality and inequity in healthcare utilization in urban Nepal: a cross-sectional observational study.

Authors:  Eiko Saito; Stuart Gilmour; Daisuke Yoneoka; Ghan Shyam Gautam; Md Mizanur Rahman; Pradeep Krishna Shrestha; Kenji Shibuya
Journal:  Health Policy Plan       Date:  2016-02-07       Impact factor: 3.344

5.  Significant barriers to diagnosis and management of adrenal insufficiency in Africa.

Authors:  Thabiso R P Mofokeng; Salem A Beshyah; Fazleh Mahomed; Kwazi C Z Ndlovu; Ian L Ross
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6.  Towards universal health coverage for reproductive health services in Ethiopia: two policy recommendations.

Authors:  Kristine Husøy Onarheim; Mieraf Taddesse; Ole Frithjof Norheim; Muna Abdullah; Ingrid Miljeteig
Journal:  Int J Equity Health       Date:  2015-09-30

7.  Inequalities in medicine use in Central Eastern Europe: an empirical investigation of socioeconomic determinants in eight countries.

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Journal:  Int J Equity Health       Date:  2015-11-05

8.  Timing of abortion among adolescent and young women presenting for post-abortion care in Kenya: a cross-sectional analysis of nationally-representative data.

Authors:  Boniface A Ushie; Chimaraoke O Izugbara; Michael M Mutua; Caroline W Kabiru
Journal:  BMC Womens Health       Date:  2018-02-17       Impact factor: 2.809

9.  The evolution of socioeconomic status-related inequalities in maternal health care utilization: evidence from Zimbabwe, 1994-2011.

Authors:  Marshall Makate; Clifton Makate
Journal:  Glob Health Res Policy       Date:  2017-01-05

10.  Tracking socio-economic inequalities in healthcare utilization in Iran: a repeated cross-sectional analysis.

Authors:  Sajad Vahedi; Vahid Yazdi-Feyzabadi; Mostafa Amini-Rarani; Abolfazl Mohammadbeigi; Ardeshir Khosravi; Aziz Rezapour
Journal:  BMC Public Health       Date:  2020-06-15       Impact factor: 3.295

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