BACKGROUND: Disparities in access, utilization and outcomes exist throughout the healthcare system for minority groups, including racial and ethnic minorities; these disparities have wide-reaching implications for individuals as well as the healthcare system as a whole. This study will examine the impact of race on short and medium term outcomes for patients undergoing rotator cuff repair (RCR) using matched cohorts. METHODS: Patients undergoing arthroscopic rotator cuff repair from 2016 to 2018 were extracted from two national databases: the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) and TriNetX Research Network. Using the ACS-NSQIP database, univariate analysis was performed to identify differences in comorbidities between white and minority patients. Patients were propensity score matched based on significant differences between groups and 30-day postoperative outcomes were assessed. These comorbidities were then used to propensity score match white and minority patients in the TriNetX database and two-year postoperative outcomes were evaluated. RESULTS: Following propensity score matching, 3716 patients remained in each group from the ACS-NSQIP database and 4185 patients remained in each group from the TriNetX database. The OR time for minority patients was longer than white patient in the ACS-NSQIP database (92.2 vs. 87.6 min, p < .001). There was no difference in medium-term outcomes for repeat RCR, infection or frozen shoulder between white and minority patients in the TriNetX database. CONCLUSION: After propensity score matching the only significant short-term outcome between white and minority patients undergoing RCR was a difference in OR time; there were no differences in medium-term outcomes. This may indicate that the source of racial disparities is one of access to healthcare rather than an innate difference in the patients' outcomes. Further study is needed to elucidate this issue.
BACKGROUND: Disparities in access, utilization and outcomes exist throughout the healthcare system for minority groups, including racial and ethnic minorities; these disparities have wide-reaching implications for individuals as well as the healthcare system as a whole. This study will examine the impact of race on short and medium term outcomes for patients undergoing rotator cuff repair (RCR) using matched cohorts. METHODS: Patients undergoing arthroscopic rotator cuff repair from 2016 to 2018 were extracted from two national databases: the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) and TriNetX Research Network. Using the ACS-NSQIP database, univariate analysis was performed to identify differences in comorbidities between white and minority patients. Patients were propensity score matched based on significant differences between groups and 30-day postoperative outcomes were assessed. These comorbidities were then used to propensity score match white and minority patients in the TriNetX database and two-year postoperative outcomes were evaluated. RESULTS: Following propensity score matching, 3716 patients remained in each group from the ACS-NSQIP database and 4185 patients remained in each group from the TriNetX database. The OR time for minority patients was longer than white patient in the ACS-NSQIP database (92.2 vs. 87.6 min, p < .001). There was no difference in medium-term outcomes for repeat RCR, infection or frozen shoulder between white and minority patients in the TriNetX database. CONCLUSION: After propensity score matching the only significant short-term outcome between white and minority patients undergoing RCR was a difference in OR time; there were no differences in medium-term outcomes. This may indicate that the source of racial disparities is one of access to healthcare rather than an innate difference in the patients' outcomes. Further study is needed to elucidate this issue.
Authors: Clark Yin; David C Sing; Emily J Curry; Hussein Abdul-Rassoul; Joseph W Galvin; Josef K Eichinger; Xinning Li Journal: Orthopedics Date: 2019-02-27 Impact factor: 1.390
Authors: Matthew J Best; Keith T Aziz; Edward G McFarland; Scott D Martin; John-Paul H Rue; Uma Srikumaran Journal: J Shoulder Elbow Surg Date: 2020-11-19 Impact factor: 3.019
Authors: Katherine A Burns; Lynn Robbins; Angela R LeMarr; Amber L Childress; Diane J Morton; Melissa L Wilson Journal: Arthrosc Sports Med Rehabil Date: 2019-11-29