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Assessing Healthcare Equity in Orthopaedic Surgery: An Analysis of Over 24,000 Surgical Cases. | LitMetric

Assessing Healthcare Equity in Orthopaedic Surgery: An Analysis of Over 24,000 Surgical Cases.

J Am Acad Orthop Surg Glob Res Rev

From the Department of Orthopaedic Surgery, University of North Carolina School of Medicine, Chapel Hill, NC.

Published: September 2024

AI Article Synopsis

  • The study investigated surgical access disparities in orthopaedic cases at a large academic health center, focusing on how patient demographics affected surgical wait times.
  • Results indicated that while elective surgical cases had longer wait times than urgent ones, demographic factors like race, sex, language, and socioeconomic status did not significantly impact these wait times.
  • Interestingly, although race and socioeconomic status were linked to greater distances from surgical centers, this increased distance did not correspond to longer wait times, suggesting a need for further exploration of healthcare equity issues.

Article Abstract

Introduction: Health disparities have been widely studied in the primary care and surgical settings. The purpose of this study was to examine surgical access disparities for orthopaedic surgical cases performed at a large academic health center by comparing the relationship between patient demographic factors and surgical wait time.

Methods: A total of 24,778 orthopaedic surgical cases from 2018 to 2022 at a public, tertiary care, Level I trauma center were retrospectively analyzed to assess for surgical timing disparities based on patient-specific factors, including race, sex, language, and socioeconomic status.

Results: Elective surgical cases were completed with an average surgical wait time of 28.11 ± 26.34 days. Urgent surgical cases were completed with an average surgical wait time of 1.23 ± 1.50 days. Patient race, sex, language, and socioeconomic status had no effect on surgical wait time for urgent case scheduling. Female patients had longer average wait times in elective cases, whereas race had a weak association with increased wait time. Two-factor interaction analysis showed no multifactorial effects of patient demographic factors on surgical wait time. Patient race and socioeconomic status were associated with increased distance from surgical sites, although increased distance did not correlate with increased surgical wait time.

Conclusion: Patient demographic factors did not demonstrate clinically notable associations with surgical timing in this patient cohort, in contrast to previous studies demonstrating the effects of race and socioeconomic status on healthcare outcomes and access. Race and socioeconomic status did correlate with increased distance from surgical centers although distance from surgical sites did not correlate with surgical wait time. This contributes to previous literature on healthcare equity and indicates that surgical wait time may not contribute to the known healthcare inequalities seen in minority and marginalized patients.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11407820PMC
http://dx.doi.org/10.5435/JAAOSGlobal-D-24-00240DOI Listing

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