Factors Influencing Compliance to Follow-up Visits in Orthopaedic Surgery

Abstract

Background: Orthopaedic procedures require postoperative follow-up to maximize recovery. Missed appointments and noncompliance can result in complications and increased healthcare costs. This study investigates the relationship between patient postoperative visit attendance and the distance traveled to receive care. Materials and Methods: A retrospective review of all surgeries performed by a single orthopaedic surgeon in 2019 at level 1 trauma center in a midsized city serving a largely rural population was completed. We excluded patients who underwent another subsequent procedure. Distance to care and time traveled were determined by the patient's address and the clinic address using Google Maps Application Programming Interface. Other variables that may affect attendance at follow-up visits were also collected. Univariate and multivariate logistic regression was done with purposeful selection. Results: We identified 518 patients of whom 32 (6%) did not attend their first scheduled follow-up appointment. An additional 47 (10%) did not attend their second follow-up. In total, 79 patients (15%) did not attend one of their appointments. Younger age, male sex, Black or African American race, self-pay, Medicaid insurance, accident insurance, and increased distance were individual predictors of missing an appointment. In the final multivariate logistic regression model, male sex (OR 1.74), Black or African American race (OR 2.78), self-pay (OR 3.12), Medicaid (OR 3.05), and traveling more than 70 miles to clinic (OR 2.02) markedly predicted missing an appointment, while workers' compensation (OR 0.23) predicted attendance. Discussion: Several nonmodifiable patient factors predict patient noncompliance in attending orthopaedic postoperative visits. When patients are considered at high risk of being lost to follow-up, there may be an opportunity to implement interventions to improve follow-up rate and patient outcomes, minimize patient costs, and maximize profitability for the hospital.