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Does the Combination of Phone,Email and Text-Based Reminders Improve No-show Rates for Patients in Breast Imaging?
Institution:1. Department of Radiology, University of Maryland Medical Center, Baltimore, MD;2. University of Maryland School of Medicine;3. King Saud University, Riyadh Saudi Arabia;1. Department of Radiology, Maulana Azad Medical College, New Delhi, India;2. Department of Radiology, Imaging Associates at National Heart Institute, New Delhi, India;3. Division of Interventional Radiology, Ohio State University, 281 W Lane Ave, Columbus, OH;4. Division of Interventional Radiology, New York-Presbyterian/Weill Cornell Medical Center, New York, NY;1. Department of Radiology, The University of Alabama at Birmingham, Birmingham, AL;2. Preventive Medicine, The University of Alabama at Birmingham, Birmingham, AL;1. Diagnostic Radiology Resident, Department of Diagnostic Radiology, McGill University, Montreal, Québec, Canada;2. Thoracic and Abdominal Radiologist, Department of Diagnostic Radiology, McGill University, Montreal, Québec, Canada;1. Harvard Medical School, Boston, MA;2. Department of Radiology, Massachusetts General Hospital, Boston, MA;3. Medically Engineered Solutions in Healthcare Incubator, Innovation in Operations Research Center (MESH IO), Massachusetts General Hospital, Boston, MA
Abstract:The issue of no-shows in radiology is complicated and challenging. Mammography and ultrasound have the highest rate of no-shows among radiologic exams. Screening mammography is one of the most cost-effective ways to reduce breast cancer related deaths. However, the benefit of screening is heavily dependent on patient compliance to routine exams. Enhancing patients’ commitments to their scheduled appointments, thereby improving early detection and decreasing breast cancer related mortality. Retrospective analysis of no-show visits scheduled from August 2017 to December 2017 (before the implementation of combined phone, email and text-based reminders) and from August 2019 to December 2019 (after the implementation of reminder and follow-up phone calls after missed appointments by the coordinator) in an urban academic breast imaging center was conducted. There were 368 no-show patients in 2017 and 238 no-show patients in 2019. Percentage of no-shows, and delay time to the rescheduled missed appointment were calculated. Subgroup analysis of the type of studies that were missed and those who did not reschedule the missed appointment was conducted. Mann Whitney U test was used to analyze differences between group means. No-show visits decreased by 50% in 2019 when compared to 2017. The average wait time between the missed appointment and the rescheduled appointment decreased significantly from 30.7 weeks in 2017 to 12.1 weeks in 2019 (P = 0.047). The percentage of no-show visits was highest among the unemployed, patients scheduled for screening mammograms and patients with a high average of no-show visits. No-show visits adversely impact patient outcome and contribute to increased cost of healthcare. Through a deeper understanding of the factors contributing to no-shows, we can strive to make appropriate interventions to alleviate the consequences of no-shows.
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