Exploratory analysis to enhance operational efficiency of new patient screenings

Abstract

Objective The aims of this study were to 1) evaluate patient demographic data for new patient exams (NPE) and 2) analyze lead response time for checked‐in and no‐show appointments in predoctoral clinics in a dental school. Methods The data for the study were collected from the predoctoral clinics at Tufts University School of Dental Medicine (TUSDM) for patients with NPE appointments with American Dental Association's (ADA) diagnostic code of D100. A total of 26,826 appointments and 24,419 unique patients were reviewed from January 1, 2015 to December 31, 2019. Patient demographic variables such as age, gender, zip codes, and lead response time were analyzed. Results From 26,826 total number of appointments, 10,454 appointments were categorized as no‐show appointments (38.97%). In the no‐show appointments, the sex distribution was 59.93% female and 40.07% male, and in checked‐in category, the sex distribution was 53.75% female and 46.25% male. As the lead response time increased over 5 days, the no‐show rate increased to 49.79%. Approximately 55% of the entire NPE was from Greater Boston area. Conclusion The association between lead time and no‐show rate was shown that when lead time was reduced, no‐show rate decreased. By identifying the no‐show appointments and lead time, schools and clinics can improve operational efficiency, reduce financial loss, and maintain continuation of care by supporting patients who need access to care and creating secondary automated recall system to maximize communication and chair use.