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No-Show Modeling for Adult Ambulatory Clinics

In: Handbook of Healthcare Operations Management

Author

Listed:
  • Ayten Turkcan

    (Northeastern University)

  • Lynn Nuti

    (Purdue University)

  • Po-Ching DeLaurentis

    (Purdue University)

  • Zhiyi Tian

    (Purdue University)

  • Joanne Daggy

    (Indiana University School of Medicine)

  • Lingsong Zhang

    (Purdue University)

  • Mark Lawley

    (Purdue University)

  • Laura Sands

    (Purdue University)

Abstract

Patient no-show is a pervasive problem in outpatient clinics. This chapter provides a literature review and discussion on how to develop statistical no-show models. The literature review is a structured and representative selection of research studies from a variety of medical areas. The literature is grouped into four classes. The first class covers self-reported reasons for no-show. The most common self-reported reasons are forgetting, conflicts, transportation, scheduling system problems, and physical or mental illness. The second class discusses the effect of no-show interventions such as appointment reminders, patient education, and changes in scheduling systems on no-show behavior. The third class develops statistical models of no-show behavior in a variety of settings. Several patient, provider, and clinic characteristics are considered in developing these models. The last class of literature considers the impact of no-shows on health outcomes, which illustrates the importance of no-show modeling. The second part of the chapter explains how statistical no-show models can be developed. The data requirements, determination of significant factors, development of logistic regression models, and model validation are explained in detail. An example no-show model is provided to illustrate the modeling and validation process. The chapter concludes with summarizing thoughts and a discussion of future research opportunities.

Suggested Citation

  • Ayten Turkcan & Lynn Nuti & Po-Ching DeLaurentis & Zhiyi Tian & Joanne Daggy & Lingsong Zhang & Mark Lawley & Laura Sands, 2013. "No-Show Modeling for Adult Ambulatory Clinics," International Series in Operations Research & Management Science, in: Brian T. Denton (ed.), Handbook of Healthcare Operations Management, edition 127, chapter 0, pages 251-288, Springer.
    • Handle: RePEc:spr:isochp:978-1-4614-5885-2_10
    DOI: 10.1007/978-1-4614-5885-2_10
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    Cited by:

    1. Golmohammadi, Davood & Zhao, Lingyu & Dreyfus, David, 2023. "Using machine learning techniques to reduce uncertainty for outpatient appointment scheduling practices in outpatient clinics," Omega, Elsevier, vol. 120(C).
    2. Mi Young Suk & Bomgyeol Kim & Sang Gyu Lee & Chang Hoon You & Tae Hyun Kim, 2021. "Evaluation of Patient No-Shows in a Tertiary Hospital: Focusing on Modes of Appointment-Making and Type of Appointment," IJERPH, MDPI, vol. 18(6), pages 1-14, March.

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