Frustrating “No Shows”- a comprehensive review
Feb 7, 2025
Author
Chiragkumar Prajapati DDS
Background
The patient cancellations, in layman terms – no- shows, is most prevalent problems dentists are facing now.1 The most common forms of solutions related to overcoming this problem are limited to automatic or manual reminders such as staff phone call, postal mail, automated e-mails, automated SMS and no-shows policy2,3,4,5,6. However, the success with these is not only unpredictable but questionable.7,8 This could be attributed to inability or limitation in comprehensively addressing the root problems responsible for no-shows 9,10
[A]
This post is intended to explain and share learnings from our approach, rather than to suggest that all actors should necessarily adopt the same approach, or that the same approach is applicable to all possible AI systems.
[B]
This post is intended to explain and share learnings from our approach, rather than to suggest that all actors should necessarily adopt the same approach, or that the same approach is applicable to all possible AI systems.
Methodology
This qualitative study utilizes inductive research approach to explore root causes, mechanism, prevalent methods, implications and potential resolution.
[C]
This post is intended to explain and share learnings from our approach, rather than to suggest that all actors should necessarily adopt the same approach, or that the same approach is applicable to all possible AI systems.
Insights
The practicing dentists are often unaware of the comprehensive root causes, which could be one to thirty, that leads to patient no-shows. In addition to that, current solutions are directed at forgetfulness by reminding through various methods.2,3,4,5,6 Moreover, negative reinforcement6 is used as method of compliance, which carries risk of increased patient dissatisfaction. As no-shows is in most instances a multivariate problem, it requires specific evaluation of root causes pertinent to each patient and prescribing solutions to each root cause This personalized method is the only promising method to ease the pain of no-shows.
[D]
This post is intended to explain and share learnings from our approach, rather than to suggest that all actors should necessarily adopt the same approach, or that the same approach is applicable to all possible AI systems.
If you 're interested in exploring our research further, you can read more here
Footnotes
[A]
This post is intended to explain and share learnings from our approach, rather than to suggest that all actors should necessarily adopt the same approach, or that the same approach is applicable to all possible AI systems.
[B]
This post is intended to explain and share learnings from our approach, rather than to suggest that all actors should necessarily adopt the same approach, or that the same approach is applicable to all possible AI systems.
[C]
This post is intended to explain and share learnings from our approach, rather than to suggest that all actors should necessarily adopt the same approach, or that the same approach is applicable to all possible AI systems.
Keywords
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general dentists
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guidelines
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dental specialists
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patient cancellations
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no-shows
References
1
American Dental Association Health Policy Institute, Economic Outlook and Emerging Issues in Dentistry. (n.d.). Retrieved June 14, 2023, from https://www.ada.org/-/media/project/ ada-organization/ada/ada- org/files/resources/research/hpi/
may2023_hpi_economic_outlook_ dentistry _slides.pdf
2
Sumanth Prasad, Richa Anand,Use of mobile telephone short message service as a reminder: the effect on patient attendance, International Dental Journal,Volume 62, Issue 1,2012,Pages 21-26,ISSN 0020-6539, https://doi.org/10.1111/j.1875- 595X.2011.00081.x.
3
Reekie, D., & Devlin, H. (1998). Preventing failed appointments in general dental practice: a comparison of reminder methods. British Dental Journal, 185, 472-474.
4
Hallberg, U.E., Camling, E., Zickert, I., Robertson, A., & Berggren, U. (2007). Dental appointment no-shows: why do some parents fail to take their children to the dentist? International journal of paediatric dentistry, 18 1, 27-34 .
5
Nelson, T.M., Berg, J.H., Bell, J.F., Leggott, P.J., & Seminario, A.L. (2011). Assessing the effectiveness of text messages as appointment reminders in a pediatric dental setting. Journal of the American Dental Association, 142 4, 397-405 .
6
Altmann, S., & Traxler, C. (2012). Nudges at the Dentist. Behavioral & Experimental Economics eJournal.
7
Parikh A, Gupta K, Wilson AC, Fields K, Cosgrove NM, Kostis JB. The effectiveness of outpatient appointment reminder systems in reducing no- show rates. Am J Med. 2010 Jun;123(6):542-8. doi:10.1016/j.amjmed.2009.11.022. PMID: 20569761.
8
Gurol-Urganci I, de Jongh T, Vodopivec-Jamsek V, Atun R, Car J. Mobile phone messaging reminders for attendance at healthcare appointments. Cochrane Database Syst Rev. 2013 Dec 5;2013(12):CD007458. doi:10.1002/14651858.CD007458. pub3. PMID: 24310741; PMCID:PMC6485985.
9
Xiruo Ding and others, Designing risk prediction models for ambulatoryno-shows across different specialties and clinics, Journal of the American Medical Informatics Association, Volume 25, Issue 8, August 2018, Pages 924–930, https://doi.org/10.1093/jamia/ ocy002
10
TeresaArmstrong, No Show Appointments: Why They Happen and How to Reduce Them, Retrieved June 14, 2023, from https://www.mgma.com/resources/ business-strategy/no-show- appointments-why-they-happen-and-how-to-r

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