Using the Six Sigma Methodology to Reduce Missed Appointments at a Pediatric Inner-City Clinic

Area of Science:

• Healthcare Management
• Pediatric Health
• Quality Improvement Methodologies

Background:

• Missed appointments in pediatric care negatively affect patient outcomes and clinic financial stability.
• Predictive modeling and targeted interventions are needed to address this issue.

Purpose of the Study:

• To apply the Six Sigma methodology in a pediatric clinic setting.
• To identify significant predictors of missed appointments and develop a predictive model.
• To implement interventions aimed at reducing the rate of missed pediatric appointments.

Main Methods:

• Utilized Six Sigma methodology for process analysis and improvement.
• Employed binary logistic regression to identify significant predictor factors for missed appointments.
• Implemented targeted interventions based on identified predictors.

Main Results:

• Historical no-show rate, high-risk visit types, lack of insurance, number of provider visits, and appointment lead time were identified as significant predictors.
• Post-intervention, a significant reduction in the overall missed appointment rate was observed.
• The no-show rate also demonstrated a significant decrease following intervention implementation.

Conclusions:

• The Six Sigma methodology is effective in identifying key factors contributing to pediatric missed appointments.
• Data-driven interventions can significantly decrease missed appointment rates in pediatric clinics.
• Addressing factors like insurance status and appointment lead time is vital for improving clinic efficiency and patient access.