IDEAS home Printed from https://ideas.repec.org/a/ags/afjecr/330372.html
   My bibliography  Save this article

Factors Influencing the Choice of Private Health Care Providers in Uganda

Author

Listed:
  • Turyamureba, Medard
  • Yawe, Bruno L.
  • Oryema, John Bosco

Abstract

This paper examines the factors influencing the choice of private health care providers in Uganda. Although studies indicate that patients are price sensitive, many (63%) Ugandans prefer private health facilities to less expensive government health facilities. This is inconsistent with the government policy of abolishing user fees in government health facilities. Using the 2019/20 Uganda National Household Survey data, a probit regression model was estimated. The findings show that ownership of health insurance, household welfare and type of employment positively influenced the choice of private health facilities. Distance to the health facility negatively affected the utilisation of private health care providers. Additionally, the sex of the patient and region of residence were significant determinants. There is, therefore, a need for a national health insurance scheme and coordination between public and private health care providers to enable poor and vulnerable patients to visit modern health facilities.

Suggested Citation

  • Turyamureba, Medard & Yawe, Bruno L. & Oryema, John Bosco, 2022. "Factors Influencing the Choice of Private Health Care Providers in Uganda," African Journal of Economic Review, African Journal of Economic Review, vol. 10(4), September.
    • Handle: RePEc:ags:afjecr:330372
    DOI: 10.22004/ag.econ.330372
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/330372/files/233444-Article%20Text-565444-1-10-20221004.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.330372?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Jordan Louviere & Kenneth Train & Moshe Ben-Akiva & Chandra Bhat & David Brownstone & Trudy Cameron & Richard Carson & J. Deshazo & Denzil Fiebig & William Greene & David Hensher & Donald Waldman, 2005. "Recent Progress on Endogeneity in Choice Modeling," Marketing Letters, Springer, vol. 16(3), pages 255-265, December.
    2. Jonathan J.A.O. Odwee & Francis Nathan Okurut & Asaf Adebua, 2006. "The determinants of health care demand in Uganda: The case study of Lira District, Northern Uganda," Working Papers 155, African Economic Research Consortium, Research Department.
    3. Ssewanyana, Sarah & Nabyonga, Juliet O. & Kasirye, Ibrahim & Lawson, David, 2004. "Demand for Health Care Services in Uganda: Implications for Poverty Reduction," Research Series 150529, Economic Policy Research Centre (EPRC).
    4. David E. Sahn & Stephen D. Younger & Garance Genicot, 2003. "The Demand for Health Care Services in Rural Tanzania," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(2), pages 241-260, May.
    5. Guevara, C. Angelo, 2015. "Critical assessment of five methods to correct for endogeneity in discrete-choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 82(C), pages 240-254.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Charles Mulindabigwi Ruhara & Josue Mbonigaba, 2016. "The Role of Economic Factors in the Choice of Medical Providers in Rwanda," Journal of Economics and Behavioral Studies, AMH International, vol. 8(2), pages 65-78.
    2. Fernández-Antolín, Anna & Guevara, C. Angelo & de Lapparent, Matthieu & Bierlaire, Michel, 2016. "Correcting for endogeneity due to omitted attitudes: Empirical assessment of a modified MIS method using RP mode choice data," Journal of choice modelling, Elsevier, vol. 20(C), pages 1-15.
    3. Guerrero, Thomas E. & Guevara, C. Angelo & Cherchi, Elisabetta & Ortúzar, Juan de Dios, 2022. "Characterizing the impact of discrete indicators to correct for endogeneity in discrete choice models," Journal of choice modelling, Elsevier, vol. 42(C).
    4. Danaf, Mazen & Guevara, Angelo & Atasoy, Bilge & Ben-Akiva, Moshe, 2020. "Endogeneity in adaptive choice contexts: Choice-based recommender systems and adaptive stated preferences surveys," Journal of choice modelling, Elsevier, vol. 34(C).
    5. Medard, Turyamureba & Yawe, Bruno L. & Bosco, Oryema John, 2022. "Determinants of Demand for Private Health Insurance in Uganda," African Journal of Economic Review, African Journal of Economic Review, vol. 10(3), June.
    6. Brathwaite, Timothy & Walker, Joan L., 2018. "Causal inference in travel demand modeling (and the lack thereof)," Journal of choice modelling, Elsevier, vol. 26(C), pages 1-18.
    7. Dudinskaya, Emilia Cubero & Naspetti, Simona & Zanoli, Raffaele, 2020. "Using eye-tracking as an aid to design on-screen choice experiments," Journal of choice modelling, Elsevier, vol. 36(C).
    8. Vij, Akshay & Walker, Joan L., 2016. "How, when and why integrated choice and latent variable models are latently useful," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 192-217.
    9. Lurkin, Virginie & Garrow, Laurie A. & Higgins, Matthew J. & Newman, Jeffrey P. & Schyns, Michael, 2017. "Accounting for price endogeneity in airline itinerary choice models: An application to Continental U.S. markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 228-246.
    10. Raza, W.A. & Panda, P. & Van de Poel, E. & Dror, D.M. & Bedi, A.S., 2013. "Healthcare Seeking Behavior among Self-help Group Households in Rural Bihar and Uttar Pradesh, India," ISS Working Papers - General Series 50172, International Institute of Social Studies of Erasmus University Rotterdam (ISS), The Hague.
    11. Stark, Oded, 2021. "Reexamining the influence of conditional cash transfers on migration from a gendered lens: Comment," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 58(1), pages 379-381.
    12. Lay, Jann, 2010. "MDG Achievements, Determinants, and Resource Needs: What Has Been Learnt?," GIGA Working Papers 137, GIGA German Institute of Global and Area Studies.
    13. Ozdamar, Oznur & Giovanis, Eleftherios, 2016. "Being Healthy in Turkey: A Pseudo-Panel Data Analysis," MPRA Paper 95838, University Library of Munich, Germany.
    14. Gopalakrishnan, Raja & Guevara, C. Angelo & Ben-Akiva, Moshe, 2020. "Combining multiple imputation and control function methods to deal with missing data and endogeneity in discrete-choice models," Transportation Research Part B: Methodological, Elsevier, vol. 142(C), pages 45-57.
    15. Eva Deuchert, 2011. "The Virgin HIV Puzzle: Can Misreporting Account for the High Proportion of HIV Cases in Self-reported Virgins?," Journal of African Economies, Centre for the Study of African Economies, vol. 20(1), pages 60-89, January.
    16. Gilles Postel‐Vinay & David E. Sahn, 2010. "Explaining stunting in nineteenth‐century France," Economic History Review, Economic History Society, vol. 63(2), pages 315-334, May.
    17. Guevara, C. Angelo & Tang, Yue & Gao, Song, 2018. "The initial condition problem with complete history dependency in learning models for travel choices," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 850-861.
    18. Watanabe, Hajime & Maruyama, Takuya, 2023. "A Bayesian instrumental variable model for multinomial choice with correlated alternatives," Journal of choice modelling, Elsevier, vol. 46(C).
    19. Honora Smith & Christine Currie & Pornpimol Chaiwuttisak & Andreas Kyprianou, 2018. "Patient choice modelling: how do patients choose their hospitals?," Health Care Management Science, Springer, vol. 21(2), pages 259-268, June.
    20. Martine Audibert & Yong He & Jacky Mathonnat, 2013. "Two-Period Comparison of Healthcare Demand with Income Growth and Population Aging in Rural China: Implications for Adjustment of the Healthcare Supply and Development," Working Papers halshs-00846088, HAL.

    More about this item

    Keywords

    Health Economics and Policy;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:afjecr:330372. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://www.ajol.info/index.php/ajer/index .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.