J Shoulder Elbow Surg. 2023 May 26:S1058-2746(23)00384-1. doi: 10.1016/j.jse.2023.04.007. Online ahead of print.
ABSTRACT
BACKGROUND: The purpose of this study was to identify nationwide disparities in the rates of operative management of rotator cuff tears based on race, ethnicity, insurance type, and socioeconomic status.
METHODS: Patients diagnosed with a full or partial rotator cuff tear from 2006-2014 were identified in the Healthcare Cost and Utilization Project’s National Inpatient Sample database using International Classification of Diseases, Ninth Revision (ICD-9) diagnosis codes. Bivariate analysis using chi-square tests and adjusted, multivariable logistic regression models were used to evaluate differences in the rates of operative versus non-operative management for rotator cuff tears.
RESULTS: This study included 46,167 patients. When compared with white patients, adjusted analysis showed that minority race and ethnicity were associated with lower rates of operative management for Black [adjusted odds ratio (AOR): 0.31, 95% confidence interval (CI): 0.29-0.33; p < 0.001], Hispanic [AOR: 0.49, 95% CI: 0.45-0.52; p < 0.001], Asian or Pacific Islander [AOR: 0.72, 95% CI: 0.61-0.84; p < 0.001], and Native American patients [AOR: 0.65, 95% CI: 0.50-0.86; p = 0.002]. In comparison to privately insured patients, our analysis also found that self-payers [AOR: 0.08, 95% CI: 0.07-0.10; p < 0.001], Medicare beneficiaries [AOR: 0.76, 95% CI: 0.72-0.81; p < 0.001], and Medicaid beneficiaries [AOR: 0.33, 95% CI: 0.30-0.36; p < 0.001] had lower odds of receiving surgical intervention. Additionally, relative to those in the bottom income quartile, patients in all other quartiles experienced nominally higher rates of operative repair; these differences were statistically significant for the second quartile [AOR: 1.09, 95% CI: 1.03-1.16; p = 0.004].
CONCLUSION: There are significant nationwide disparities in the likelihood of receiving operative management for rotator cuff tear patients of differing race/ethnicity, payer status, and socioeconomic status. Further investigation is needed to fully understand and address causes of these discrepancies to optimize care pathways.
PMID:37245619 | DOI:10.1016/j.jse.2023.04.007
