IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v58y2020i2p577-596.html
   My bibliography  Save this article

Using structural equation modeling to analyze patient value, satisfaction, and loyalty: a case study of healthcare in China

Author

Listed:
  • Rui Miao
  • Hui Zhang
  • Qi Wu
  • Jie Zhang
  • Zhibin Jiang

Abstract

Understanding patient value is a key mechanism in addressing current healthcare challenges, as well as for establishing a patient-centered healthcare system. With high patient dissatisfaction, and the growing tension between patients and providers in China, understanding patient value and evaluating healthcare delivery performance becomes urgent. The objective of this study is to identify patient value dimensions in healthcare and to understand their relationships with patient satisfaction and loyalty. We conduct a case study in two hospitals in Shanghai, China. We identify economic value, health value, fair value, and supplemental value as four value dimensions. We use the combinational weighting method to evaluate the value-added ability of healthcare services, and use the structural equation model to examine the relationships between patient value, satisfaction, and loyalty. The value-added evaluation indicates significant room for improvement related to economic value for the large hospital, as well as to health value and fair value for the community hospital. Our findings inform hospitals and physicians of areas of focus, particularly improving those with low evaluation and high importance, to maximise patient satisfaction and loyalty. We also provide managerial insights for healthcare policy makers, such as strengthening primary health care, ensuring rational pricing, and improving hospital governance.

Suggested Citation

  • Rui Miao & Hui Zhang & Qi Wu & Jie Zhang & Zhibin Jiang, 2020. "Using structural equation modeling to analyze patient value, satisfaction, and loyalty: a case study of healthcare in China," International Journal of Production Research, Taylor & Francis Journals, vol. 58(2), pages 577-596, January.
  • Handle: RePEc:taf:tprsxx:v:58:y:2020:i:2:p:577-596
    DOI: 10.1080/00207543.2019.1598595
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2019.1598595
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207543.2019.1598595?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:tprsxx:v:58:y:2020:i:2:p:577-596. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    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.