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No-Show Rates at a Plastic Surgery Clinic: Insights From Appalachian Healthcare Systems.

Armein Rahimpour¹, Emily Saurborn¹, Abigail Murphy¹

¹General Surgery, Marshall University Joan C. Edwards School of Medicine, Huntington, USA.

|February 3, 2025

Summary

Male gender, impending weather, and appointment type significantly increase no-show rates in rural plastic surgery clinics. Understanding these factors can help reduce missed appointments and improve patient care access.

Keywords:

appalachia appointment adherence no-show rates patient engagement plastic surgery clinics predictors of attendance resource optimization rural healthcare disparities socioeconomic barriers

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Area of Science:

Plastic Surgery
Healthcare Management
Health Services Research

Background:

Missed appointments (no-shows) pose a significant financial and operational burden on healthcare systems.
No-shows lead to lost revenue, reduced access to care for other patients, and longer wait times.
Identifying factors contributing to no-shows is crucial for developing targeted interventions.

Purpose of the Study:

To evaluate demographic, environmental, and procedural factors associated with patient no-shows at a rural plastic surgery clinic.
To identify key predictors of appointment non-attendance in this specific patient population.

Main Methods:

Comparative analysis using two-sample t-tests and Chi-square tests for demographic and clinical variables.
Mann-Whitney U test to compare post-operative visit numbers.
Multivariate logistic regression to control for confounders and assess independent effects on no-show rates.

Main Results:

Male gender, cloudy weather, and self-pay appointments were significantly associated with higher no-show rates.
Post-operative appointments and facial fracture follow-ups showed increased likelihood of no-shows.
Male patients had higher odds of missing appointments (OR=1.85); post-operative patients were more likely than new patients (OR=1.92).
Cloudy weather increased no-show odds (OR=1.67), while facial procedures had lower no-show rates than body contouring (OR=0.48).

Conclusions:

Demographic (male gender) and environmental (cloudy weather) factors significantly influence no-show rates in plastic surgery.
Appointment type (post-operative) and insurance status (self-pay) are also key predictors of missed appointments.
Future research should explore telemedicine's role in mitigating no-shows and improving patient attendance.