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

  • Original Article
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Health Systems

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.

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References

  • Bailey NTJ (1952) A study of queues and appointment systems in hospital out-patient departments, with special reference to waiting-times. Journal of the Royal Statistical Society. Series B (Methodological) 14 (2), 185–199.

    Google Scholar 

  • Cayirli T and Veral E (2003) Outpatient scheduling in health care: a review of literature. Production and Operations Management 12 (4), 519–549.

    Article  Google Scholar 

  • Gupta D and Denton B (2008) Appointment scheduling in health care: challenges and opportunities. IIE Transactions 40 (9), 800–819.

    Article  Google Scholar 

  • Harper PR and Gamlin HM (2003) Reduced outpatient waiting times with improved appointment scheduling: a simulation modelling approach. OR Spectrum 25 (2), 207–222.

    Article  Google Scholar 

  • Klassen KJ and Rohleder TR (1996) Scheduling outpatient appointments in a dynamic environment. Journal of Operations Management 14 (2), 83–101.

    Article  Google Scholar 

  • Kopach R, DeLaurentis PC, Lawley M, Muthuraman K, Ozsen L, Rardin R, Wan H, Intrevado P, Qu X and Willis D (2007) Effects of clinical characteristics on successful open access scheduling. Health Care Management Science 10 (2), 111–124.

    Article  Google Scholar 

  • Lacy NL, Paulman A, Reuter MD and Lovejoy B (2004) Why we don’t come: patient perceptions on no-shows. The Annals of Family Medicine 2 (6), 541–545.

    Article  Google Scholar 

  • LaGanga LR and Lawrence SR (2007) Clinic overbooking to improve patient access and increase provider productivity. Decision Sciences 38 (2), 251–276.

    Article  Google Scholar 

  • Moore CG, Wilson-Witherspoon P and Probst JC (2001) Time and money: effects of no-shows at a family practice residency clinic. Family Medicine 33 (7), 522–527.

    Google Scholar 

  • Pierskalla WP and Brailer DJ (1994) Applications of operations research in health care delivery. Operations Research and the Public Sector 6, 469–505.

    Article  Google Scholar 

  • Qu X, Rardin RL, Williams JAS, Tieman L, Wan H, Willis DR and Rosenman MB (2006) A statistical model for the prediction of patient non-attendance in a primary care clinic. In Proceedings of the 2006 IIE Annual Research Conference, Orlando, FL (CD-ROM).

  • Tabachnick BG and Fidell LS (2007) Using Multivariate Statistics. Pearson Education, Inc. and Allyn and Bacon, New York.

    Google Scholar 

  • U.S. Census Bureau (2010) America's families and living arrangements: 2009. 14 January. [WWW document] http://www.census.gov/population/www/socdemo/hh-fam/cps2009.html (accessed 23 January 2010).

Download references

Acknowledgements

This study was reviewed in accordance with federal regulations governing human subjects research, including those found at 45 CFR 46 (Common Rule), 45 CFR 164 (HIPAA), 21 CFR 50 & 56 (FDA), and 40 CFR 26 (EPA), where applicable. We also thank the anonymous referees whose helpful comments greatly improved the presentation of this paper.

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Correspondence to Lauren B Davis.

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Abdus-Salaam, H., Davis, L. Impact of batch appointments on no-show rates: a public vs private clinic perspective. Health Syst 1, 36–45 (2012). https://doi.org/10.1057/hs.2012.4

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  • DOI: https://doi.org/10.1057/hs.2012.4

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