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The Influence of Racial Differences in the Demand for Healthcare in South Africa: A Case of Public Healthcare

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  • David Mhlanga

    (Department of Accountancy, University of Johannesburg, Auckland Park, Johannesburg 2092, South Africa)

  • Rufaro Garidzirai

    (Department of Management, Walter Sisulu University, Butterworth 4960, South Africa)

Abstract

The study sought to analyse the influence of racial differences in the demand for public healthcare in South Africa, using the 2018 General Household Survey (GHS) data. This was completed to understand if race still plays a role in access to healthcare in post-apartheid South Africa. Logistic regression analysis revealed that race significantly explained the variance in demand for public healthcare, with White populations having the lowest probability of demand for public healthcare compared to other races. Consequently, the study noted that racial differences still play a critical role in affording one access to healthcare after assessing the situation obtaining in public healthcare. Therefore, the study recommends that the government of South Africa should create policies that encourage equal access to basic services in addressing racial inequality in the country.

Suggested Citation

  • David Mhlanga & Rufaro Garidzirai, 2020. "The Influence of Racial Differences in the Demand for Healthcare in South Africa: A Case of Public Healthcare," IJERPH, MDPI, vol. 17(14), pages 1-10, July.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:14:p:5043-:d:384059
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    References listed on IDEAS

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    1. Williams, D.R. & Neighbors, H.W. & Jackson, J.S., 2003. "Racial/ethnic discrimination and health: Findings from community studies," American Journal of Public Health, American Public Health Association, vol. 93(2), pages 200-208.
    2. Pheeha Morudu & Umakrishnan Kollamparambil, 2020. "Health shocks, medical insurance and household vulnerability: Evidence from South Africa," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-17, February.
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    4. Jochen Hartwig & Jan-Egbert Sturm, 2018. "Testing the Grossman model of medical spending determinants with macroeconomic panel data," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(8), pages 1067-1086, November.
    5. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    6. Burger, Ronelle & Christian, Carmen, 2020. "Access to health care in post-apartheid South Africa: availability, affordability, acceptability," Health Economics, Policy and Law, Cambridge University Press, vol. 15(1), pages 43-55, January.
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    Cited by:

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    2. Jill Fortuin & Innocent Karangwa & Nongcebo Mahlalela & Cleeve Robertson, 2022. "A South African Epidemiological Study of Fatal Drownings: 2016–2021," IJERPH, MDPI, vol. 19(22), pages 1-10, November.
    3. David Mhlanga, 2022. "The Role of Artificial Intelligence and Machine Learning Amid the COVID-19 Pandemic: What Lessons Are We Learning on 4IR and the Sustainable Development Goals," IJERPH, MDPI, vol. 19(3), pages 1-22, February.
    4. Monica Ewomazino Akokuwebe & Erhabor Sunday Idemudia, 2022. "A Comparative Cross-Sectional Study of the Prevalence and Determinants of Health Insurance Coverage in Nigeria and South Africa: A Multi-Country Analysis of Demographic Health Surveys," IJERPH, MDPI, vol. 19(3), pages 1-26, February.
    5. David Mhlanga & Adewale Samuel Hassan, 2022. "Financial Participation Among Smallholder - Farmers in Zimbabwe: What Are the Driving Factors?," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 11, July.

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