IDEAS home Printed from https://ideas.repec.org/a/taf/thssxx/v1y2012i1p36-45.html
   My bibliography  Save this article

Impact of batch appointments on no-show rates: a public vs private clinic perspective

Author

Listed:
  • Husniyah Abdus-Salaam
  • Lauren B Davis

Abstract

Much of the appointment-scheduling literature has characterized the impact of no-show rates with respect to individual appointment requests. However, little is known about the impact of appointments that are grouped by household. This study is concerned with understanding the prevalence of these family group appointments and identifying the appointment characteristics that significantly influence no-show rates. Using historical data from one public and one private pediatric clinic, multiway frequency analysis is used to characterize the association between appointment characteristics and appointment size. A logistic regression model is also developed to identify the factors that contribute to no-show rates for both clinics. The results of the study indicate that more than one-third of the appointments scheduled by both clinics were associated with batch appointment requests. In addition, no-show rates for batch appointments in the public clinic were higher than those of the private clinic. We identify appointment size as a significant predictor in determining no-show rates for both public and private clinics. Since no-show rates adversely impact clinic efficiency, scheduling coordinators should consider the impact of grouping-related appointments when determining how to best allocate resources.

Suggested Citation

  • Husniyah Abdus-Salaam & Lauren B Davis, 2012. "Impact of batch appointments on no-show rates: a public vs private clinic perspective," Health Systems, Taylor & Francis Journals, vol. 1(1), pages 36-45, June.
    • Handle: RePEc:taf:thssxx:v:1:y:2012:i:1:p:36-45
    DOI: 10.1057/hs.2012.4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1057/hs.2012.4
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1057/hs.2012.4?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:thssxx:v:1:y:2012:i:1:p:36-45. 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/thss .

    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.