IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0211500.html
   My bibliography  Save this article

Utilization and quality: How the quality of care influences demand for obstetric care in Nigeria

Author

Listed:
  • Evan D Peet
  • Edward N Okeke

Abstract

This paper examines the association between health facility quality, subjective perceptions, and utilization of obstetric care. We draw on unique survey data from Nigeria describing the quality of care at rural primary health care facilities and the utilization of obstetric care by households in the service areas of these facilities. Constructing a quality index using the detailed survey data, we show that facility quality is positively related to perceptions of quality and utilization. Disaggregating quality into structural, process and outcome dimensions, we find a consistently strong relationship only between utilization and structural measures of quality. The results suggest that efforts to improve quality may involve a trade-off between investing in dimensions that are more easily observed by households, which will influence utilization, and investing in dimensions that are more closely related to outcomes.

Suggested Citation

  • Evan D Peet & Edward N Okeke, 2019. "Utilization and quality: How the quality of care influences demand for obstetric care in Nigeria," PLOS ONE, Public Library of Science, vol. 14(2), pages 1-18, February.
  • Handle: RePEc:plo:pone00:0211500
    DOI: 10.1371/journal.pone.0211500
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0211500
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0211500&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0211500?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. Glick, Peter, 2009. "How reliable are surveys of client satisfaction with healthcare services? Evidence from matched facility and household data in Madagascar," Social Science & Medicine, Elsevier, vol. 68(2), pages 368-379, January.
    2. Kosuke Imai & David A. van Dyk, 2004. "Causal Inference With General Treatment Regimes: Generalizing the Propensity Score," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 854-866, January.
    3. Robyn, Paul Jacob & Fink, Günther & Sié, Ali & Sauerborn, Rainer, 2012. "Health insurance and health-seeking behavior: Evidence from a randomized community-based insurance rollout in rural Burkina Faso," Social Science & Medicine, Elsevier, vol. 75(4), pages 595-603.
    4. Shu Yang & Guido W. Imbens & Zhanglin Cui & Douglas E. Faries & Zbigniew Kadziola, 2016. "Propensity score matching and subclassification in observational studies with multi‐level treatments," Biometrics, The International Biometric Society, vol. 72(4), pages 1055-1065, December.
    5. Fink, Günther & Robyn, Paul Jacob & Sié, Ali & Sauerborn, Rainer, 2013. "Does health insurance improve health?," Journal of Health Economics, Elsevier, vol. 32(6), pages 1043-1056.
    6. Mayhew, M. & Hansen, P.M. & Peters, D.H. & Edward, A. & Singh, L.P. & Dwivedi, V. & Mashkoor, A. & Burnham, G., 2008. "Determinants of skilled birth attendant utilization in Afghanistan: A cross-sectional study," American Journal of Public Health, American Public Health Association, vol. 98(10), pages 1849-1856.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. El-Shal, Amira & Cubi-Molla, Patricia & Jofre-Bonet, Mireia, 2021. "Are user fees in health care always evil? Evidence from family planning, maternal, and child health services," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 506-529.

    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. Darius Erlangga & Marc Suhrcke & Shehzad Ali & Karen Bloor, 2019. "The impact of public health insurance on health care utilisation, financial protection and health status in low- and middle-income countries: A systematic review," PLOS ONE, Public Library of Science, vol. 14(8), pages 1-20, August.
    2. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
    3. Hajime Seya & Takahiro Yoshida, 2017. "Propensity score matching for multiple treatment levels: A CODA-based contribution," Papers 1710.08558, arXiv.org.
    4. Zetterqvist, Johan & Waernbaum, Ingeborg, 2020. "Semi-parametric estimation of multi-valued treatment effects for the treated:estimating equations and sandwich estimators," Working Paper Series 2020:4, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    5. Lee, Ying-Ying, 2018. "Efficient propensity score regression estimators of multivalued treatment effects for the treated," Journal of Econometrics, Elsevier, vol. 204(2), pages 207-222.
    6. Zhang, Xiaoke & Xue, Wu & Wang, Qiyue, 2021. "Covariate balancing functional propensity score for functional treatments in cross-sectional observational studies," Computational Statistics & Data Analysis, Elsevier, vol. 163(C).
    7. Noémi Kreif & Richard Grieve & Iván Díaz & David Harrison, 2015. "Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1213-1228, September.
    8. Pablo Ibarraran & Miguel Sarzosa & Yuri Suarez Dillon Soares, 2008. "The Welfare Impacts of Local Investment Projects: Evidence from the Guatemala FIS," OVE Working Papers 0208, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    9. Jerzy Michalek & Pavel Ciaian & d’Artis Kancs, 2014. "Capitalization of the Single Payment Scheme into Land Value: Generalized Propensity Score Evidence from the European Union," Land Economics, University of Wisconsin Press, vol. 90(2), pages 260-289.
    10. DeVolder, Russell & Serra-Sastre, Victoria & Zamora, Bernarda, 2020. "Examining the variation across acute trusts in patient delayed discharge," Health Policy, Elsevier, vol. 124(11), pages 1226-1232.
    11. Hilal Atasoy & Rajiv D. Banker & Paul A. Pavlou, 2016. "On the Longitudinal Effects of IT Use on Firm-Level Employment," Information Systems Research, INFORMS, vol. 27(1), pages 6-26, March.
    12. Lan Thi Thu Phan & Yusuke Jinnai, 2018. "Does health insurance matter in the hospital? New evidence from patient-level medical records in Vietnam," Working Papers EMS_2018_01, Research Institute, International University of Japan.
    13. Tugba Akkaya Hocagil & Richard J. Cook & Sandra W. Jacobson & Joseph L. Jacobson & Louise M. Ryan, 2021. "Propensity score analysis for a semi‐continuous exposure variable: a study of gestational alcohol exposure and childhood cognition," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(4), pages 1390-1413, October.
    14. Caloffi, Annalisa & Freo, Marzia & Ghinoi, Stefano & Mariani, Marco & Rossi, Federica, 2022. "Assessing the effects of a deliberate policy mix: The case of technology and innovation advisory services and innovation vouchers," Research Policy, Elsevier, vol. 51(6).
    15. Darius Erlangga & Shehzad Ali & Karen Bloor, 2019. "The impact of public health insurance on healthcare utilisation in Indonesia: evidence from panel data," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 64(4), pages 603-613, May.
    16. Becker, Sascha O. & Egger, Peter H. & von Ehrlich, Maximilian, 2012. "Too much of a good thing? On the growth effects of the EU's regional policy," European Economic Review, Elsevier, vol. 56(4), pages 648-668.
    17. Mitchell, Ellen M.H. & Kwizera, Amata & Usta, Momade & Gebreselassie, Hailemichael, 2010. "Choosing early pregnancy termination methods in Urban Mozambique," Social Science & Medicine, Elsevier, vol. 71(1), pages 62-70, July.
    18. Michael C. Knaus, 2021. "A double machine learning approach to estimate the effects of musical practice on student’s skills," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 282-300, January.
    19. Malcolm Keswell & Michael R. Carter, 2011. "Poverty and Land Distribution: Evidence from a Natural Experiment," WIDER Working Paper Series wp-2011-046, World Institute for Development Economic Research (UNU-WIDER).
    20. Yannis Yatracos, 2013. "Equal percent bias reduction and variance proportionate modifying properties with mean–covariance preserving matching," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 65(1), pages 69-87, February.

    More about this item

    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:plo:pone00:0211500. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.