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- Title
Is There an Implicit Racial Bias in the Case Order of Elective Total Joint Arthroplasty?
- Authors
Kaidi, Austin C.; Hammoor, Bradley T.; Tyler, Wakenda K.; Geller, Jeffrey A.; Cooper, H. John; Hickernell, Thomas R.
- Abstract
Introduction: Identifying ways to improve equitable access to healthcare is of the utmost important. In this study, we analyzed whether patient race was negatively associated with surgical start times for total joint arthroplasties (TJA). Methods: The surgical case order and start times of all primary TJAs performed at a large academic medical center between May 2014 and May 2018 were retrospectively reviewed. Patients were included if > 21, had a documented self-reported race, and were operated on by an arthroplasty fellowship-trained surgeon. Operations were categorized as first-start, early (7:00 AM–11:00 AM), mid-day (11:00 AM–3:00 PM), or late (after 3:00 PM). Multivariable logistic regression (MLR) was performed, and odds ratios (OR) were calculated. Results: This study identified 1663 TJAs—871 total knee (TKA) and 792 total hip arthroplasties (THA) who met inclusion criteria. Overall, there was no association between race and surgical start time. Upon sub-analysis by surgical type, this held true for TKA patients, but self-identifying Hispanic and non-Hispanic Black patients undergoing THA were more likely to have later surgical start times (ORs: 2.08 and 1.88; p < 0.05). Discussion: Although there was no association between race and overall TJA surgical start times, patients with marginalized racial and ethnic identities were more likely to undergo elective THA later in the surgical day. Surgeons should be aware of potential implicit bias when determining case order to potentially prevent adverse outcomes due to staff fatigue or lack of proper resources later in the day.
- Subjects
ELECTIVE surgery; HEALTH services accessibility; ACADEMIC medical centers; CONFIDENCE intervals; TIME; MULTIPLE regression analysis; RACE; RETROSPECTIVE studies; ACQUISITION of data; ARTIFICIAL joints; DESCRIPTIVE statistics; MEDICAL records; RESEARCH funding; HEALTH equity; ODDS ratio; DATA analysis software; LONGITUDINAL method; INSURANCE
- Publication
Journal of Racial & Ethnic Health Disparities, 2024, Vol 11, Issue 1, p1
- ISSN
2197-3792
- Publication type
Article
- DOI
10.1007/s40615-022-01492-3