Evaluation of Limited English Proficiency in the Management and Outcomes of Appendicitis in Children

Introduction: Appendectomies are one of the most common pediatric surgical procedures. Limited English proficiency (LEP) may lead to disparities in health outcomes between English-proficient and LEP patients. This study assesses the association between LEP and postoperative outcomes in pediatric appendectomy. Methods: We analyzed records from the American College of Surgeons National Surgical Quality Improvement Program-Pediatric database from 2010 to 2023 under 18 y of age undergoing appendectomy at our institution. LEP was defined as the need for an interpreter. Primary outcomes were postoperative complications, length of stay (LOS), and postoperative emergency department (ED) visits within 30 d of discharge. Multivariable analyses were performed. Results: One thousand one hundred forty three children with appendicitis were identified, with 208 (18.2%) LEP and 935 (81.8%) English-proficient patients. LEP children were more likely to present with complicated appendicitis (42.8% versus 25.5%, P < 0.0001) and sepsis (34.1% versus 21.6%, P = 0.0003). LEP patients experience more serious (8.6% versus 3.9%, P = 0.02), overall complications (10.1% versus 5.5%, P = 0.006), and organ/surgical space site infections (8.2% versus 3.3%, P = 0.003). On multivariable analysis controlling for ethnicity and factors associated with complicated presentation, LEP was associated with increased postoperative ED visits (adjusted odds ratio [aOR] 2.64, 95% confidence interval [CI] = 1.40-4.39), but not LOS (aOR 1.86, 95% CI = 0.87-3.97) or complications (aOR 1.76, 95% CI = 0.79-4.00). Conclusions: LEP is independently associated with increased postoperative ED visits. Higher rates of complications and longer LOS may be related to increased complicated appendicitis at presentation. The role of cultural preferences and other social determinants of health that contribute to these disparities needs more investigation. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AItraining, and similar technologies.