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Methods: The sample included patients from the Pittsburgh and Cleveland VA medical centers with chronic knee/hip pain who consulted with an orthopedic surgeon. After the consultation, patients were surveyed regarding whether the surgeon recommended joint replacement. Patients' race, age, income, and education were also recorded. Trained research staff abstracted from electronic medical records whether the surgeon recommended joint replacement. Concordance between patient-reported and surgeon-recorded recommendations for joint replacement was assessed using a kappa statistic to account for agreement by chance alone. Whether concordance varied by race of patient was examined using a Fisher's exact test and a multiple logistic regression analysis that adjusted for potential confounders.
Results: The sample (N = 292) was 82% White, 18% African American, mostly male (95%), and had a mean age of 62 (SD = 8.91). Overall, 33% of patient self-reports and 14% of surgeon reports indicated that joint replacement had been recommended. Although 79% of patients' self-reports were concordant with surgeons' documented recommendations, the kappa statistic indicated only moderate agreement (Kappa = .46). Concordance tended to be less frequent for African American patients compared to White patients (69% vs. 82%; p = .06). After adjusting for patient age, income, education, site of care, and clustering by provider, the odds of concordance for African American patients was half that of White patients (OR = .50, 95% CI = .28 – .87).
Conclusions: Concordance between patient-reported and surgeon-documented recommendations for joint replacement was only moderate, with African American patients showing less concordance than White patients. This suggests that some patients, especially African Americans, leave orthopedic consultations without a clear understanding of the recommended treatment plan. Improving patient-surgeon communication may aid in the decision-making process for patients considering joint replacement and may help reduce racial disparities in joint replacement utilization.