IDEAS home Printed from https://ideas.repec.org/a/inm/oropre/v71y2023i3p1004-1020.html
   My bibliography  Save this article

Nudging Patient Choice: Reducing No-Shows Using Waits Framing Messaging

Author

Listed:
  • Jiayi Liu

    (Pamplin College of Business, Virginia Tech, Blacksburg, Virginia 24061)

  • Diwas KC

    (Goizueta Business School, Emory University, Atlanta, Georgia 30322)

Abstract

Patient no-shows for scheduled medical appointments are of great concern for many healthcare providers. In this paper, we tackle the no-show problem by applying insights from behavioral science. Specifically, we “nudge” patients into arriving for their scheduled appointment using text reminders of their upcoming visit. We conduct a field experiment at an outpatient specialty clinic, where we add to the standard message an additional line of text that indicates a potentially long wait for the next available appointment (we call this intervention “waits framing”). Based on a difference-in-differences estimation strategy, we find that waits framing messaging significantly reduces no-shows by a factor of 28.6%. We also find heterogeneous patient responses to the nudge. First, the increased salience of waiting time is more effective in reducing no-shows among patients who are more sensitive to wait. In addition, the effectiveness of our nudge also depends on the novelty and credibility of the information in the message. For example, the waits framing effect is stronger when the patient is less familiar with the provider (i.e., the information is new), and if the scheduled provider is in higher demand (i.e., the information is credible). In a laboratory experiment, we uncover the mechanism that underlies the nudge—waits framing serves to increase the perceived cost of missing an appointment. Through the combination of field and designed laboratory studies, we provide both external and internal validity to the effects of waits framing. Our results have implications at the system level; the message framing leads to a significant improvement in capacity utilization and patient throughput. These findings contribute to the literature on behavioral queuing by showing that through appropriately framed messages, queue operators can influence the waiting cost perceptions of individuals and thereby engender a desired queuing response such as a reduction in queue abandonment.

Suggested Citation

  • Jiayi Liu & Diwas KC, 2023. "Nudging Patient Choice: Reducing No-Shows Using Waits Framing Messaging," Operations Research, INFORMS, vol. 71(3), pages 1004-1020, May.
  • Handle: RePEc:inm:oropre:v:71:y:2023:i:3:p:1004-1020
    DOI: 10.1287/opre.2023.2444
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/opre.2023.2444
    Download Restriction: no

    File URL: https://libkey.io/10.1287/opre.2023.2444?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
    ---><---

    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:inm:oropre:v:71:y:2023:i:3:p:1004-1020. 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 Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.