Limited English Proficiency and Graves’ Disease at an Urban Safety Net Hospital

Abstract

IntroductionDecision-making regarding definitive therapy for Graves’ disease requires effective patient-provider communication. We investigated whether patients with limited English proficiency have differences in thyroidectomy outcomes or perioperative management when compared to English proficient (EP) patients at a safety net hospital with high-volume endocrine surgery practice. MethodsRetrospective study of patients who underwent thyroidectomy (2012-2021) for Graves’ disease within a tertiary referral system. Demographics, preoperative factors, and postoperative outcomes were abstracted via chart review and compared between EP and limited English proficient (LEP) patients in univariate analyses. Odds of postoperative complications were assessed via multivariable logistic regression. Time metrics such as time from endocrinology consultation to surgery were compared via Kaplan–Meier analysis and adjusted Cox proportional regression models. ResultsOf 236 patients, 85 (36%) had LEP. Low and equivalent complication rates occurred across language groups (<1% permanent). LEP patients had similar odds of thyroidectomy-specific complications (odds ratio = 1.2; 95% confidence interval 0.6-2.4). Adjusted Cox proportional hazards ratios showed that LEP patients experienced significantly shorter time from endocrinology consultation to surgery compared to EP patients [hazard ratio = 0.7; 95% confidence interval 0.5-0.9]. ConclusionsThyroidectomy-specific complication rate for patients with Graves’ disease was low, and we detected no independent association between complications and English language proficiency. Non-English primary language was independently associated with reduced time from endocrinology consultation to surgery. This finding must be interpreted with nuance and is likely multifactorial. It may reflect a well-organized, efficient system for under-resourced patients, or it may derive from communication barriers that limit robust shared decision-making, thus accelerating time to surgery.