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Plastic and Reconstructive Surgery Resident Indigent Care Clinic Optimization by Improving "No-Show" Rates
Jordan A Bilezikian1, Robert M Kimmel, Todd E Thurston
1From the Department of Plastic and Reconstructive Surgery, University of Tennessee Health Science Center College of Medicine, Chattanooga, TN.
Patient no-show rates in a plastic surgery clinic increased after a quality improvement project, revealing electronic medical record (EMR) flaws that skewed initial data and highlighted challenges in patient contact and follow-up.
Area of Science:
- Health Services Research
- Quality Improvement Science
- Patient Access to Care
Background:
- Patient absenteeism presents a significant challenge to healthcare efficiency and access, particularly for indigent populations.
- Routine no-shows strain healthcare resources and impede timely care delivery.
- Understanding and reducing patient absenteeism is crucial for optimizing clinic operations.
Purpose of the Study:
- To quantify, understand, and attempt to reduce patient absenteeism in a plastic and reconstructive surgery resident indigent care clinic.
- To identify factors contributing to missed appointments.
- To address limitations in data collection related to patient rescheduling.
Main Methods:
- Retrospective review of one year of patient data to establish a baseline no-show rate.
- Implementation of three consecutive 2-month Plan-Do-Study-Act (PDSA) cycles to address absenteeism.
- Data collection and analysis focusing on daily and monthly no-show percentages.
- Investigation of electronic medical record (EMR) system flaws impacting appointment tracking.
Main Results:
- The baseline no-show rate was 25%.
- Despite quality improvement efforts, the average no-show rate increased to 31% over the study period.
- A critical EMR flaw was identified, where rescheduled or canceled appointments were not accurately tracked, skewing initial data.
- The study highlighted a subset of patients who were unreachable or did not follow up with appointments.
Conclusions:
- Initial data on patient absenteeism were significantly skewed by an EMR tracking limitation.
- Quality improvement initiatives did not reduce, and appeared to increase, the no-show rate due to unaddressed systemic issues.
- Effective strategies to reduce absenteeism require accurate data capture and addressing barriers to patient follow-up and contact.
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