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de Jager E, Osman SY, Sheu C, Moberg E, Ye J, Liu Y, Cohen ME, Burstin HR, Hoyt DB, Schoenfeld AJ, Haider AH, Ko CY, Maggard-Gibbons MA, Weissman JS, Britt LD. Identifying Population-Level and Within-Hospital Disparities in Surgical Care. Journal of the American College of Surgeons. 2024 May 9.
INTRODUCTION: The lack of consensus on equity measurement and its incorporation into quality-assessment programs at the hospital and system levels may be a barrier to addressing disparities in surgical care. This study aimed to identify population-level and within-hospital differences in the quality of surgical care provision. METHODS: The analysis included 657 National Surgical Quality Improvement Program participating hospitals with over 4 million patients (2014-2018). Multi-level random slope, random intercept modeling was used to examine for population-level and in-hospital disparities. Disparities in surgical care by Area Deprivation Index (ADI), race, and ethnicity were analyzed for five measures: all-case inpatient mortality, all-case urgent readmission, all-case postoperative surgical site infection, colectomy mortality, and spine surgery complications. RESULTS: Population-level disparities were identified across all measures by ADI, two measures for Black race (all-case readmissions and spine surgery complications), and none for Hispanic ethnicity. Disparities remained significant in the adjusted models. Prior to risk-adjustment, in all measures examined, within-hospital disparities were detected in: 25.8-99.8% of hospitals for ADI, 0-6.1% of hospitals for Black race, and 0-0.8% of hospitals for Hispanic ethnicity. Following risk-adjustment, in all measures examined, fewer than 1.1% of hospitals demonstrated disparities by ADI, race, or ethnicity. CONCLUSIONS: Following risk adjustment, very few hospitals demonstrated significant disparities in care. Disparities were more frequently detected by ADI than by race and ethnicity. The lack of substantial in-hospital disparities may be due to the use of postoperative metrics, small sample sizes, the risk adjustment methodology, and healthcare segregation. Further work should examine surgical access and healthcare segregation.