The Effectiveness of Outpatient Appointment Reminder Systems in Reducing No-Show Rates

Amay Parikh, Kunal Gupta, Alan C. Wilson, Karrie Fields, Nora M. Cosgrove, John Kostis

Research output: Contribution to journalArticlepeer-review

98 Scopus citations


Background: Patients who do not keep physician appointments (no-shows) represent a significant loss to healthcare providers. For patients, the cost includes their dissatisfaction and reduced quality of care. An automated telephone appointment reminder system may decrease the no-show rate. Understanding characteristics of patients who miss their appointments will aid in the formulation of interventions to reduce no-show rates. Methods: In an academic outpatient practice, we studied patient acceptance and no-show rates among patients receiving a clinic staff reminder (STAFF), an automated appointment reminder (AUTO), and no reminder (NONE). Patients scheduled for appointments in the spring of 2007 were assigned randomly to 1 of 3 groups: STAFF (n = 3266), AUTO (n = 3219), or NONE (n = 3350). Patients in the STAFF group were called 3 days in advance by front desk personnel. Patients in the AUTO group were reminded of their appointments 3 days in advance by an automated, standardized message. To evaluate patient satisfaction with the STAFF and AUTO, we surveyed patients who arrived at the clinic (n = 10,546). Results: The no-show rates for patients in the STAFF, AUTO, and NONE groups were 13.6%, 17.3%, and 23.1%, respectively (pairwise, P < .01 by analysis of variance for all comparisons). Cancellation rates in the AUTO and STAFF groups were significantly higher than in the NONE group (P < .004). Appointment reminder group, age, visit type, wait time, division specialty, and insurance type were significant predictors of no-show rates. Patients found appointment reminders helpful, but they could not accurately remember whether they received a clinic staff reminder or an automated appointment reminder. Conclusions: A clinic staff reminder was significantly more effective in lowering the no-show rate compared with an automated appointment reminder system.

Original languageEnglish (US)
Pages (from-to)542-548
Number of pages7
JournalAmerican Journal of Medicine
Issue number6
StatePublished - Jun 1 2010

All Science Journal Classification (ASJC) codes

  • Medicine(all)

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