Abstract

To assess whether insurance payer, comorbidity, and income are associated with total elbow arthroplasty (TEA) outcomes. We used the 1998-2014 US National Inpatient Sample. Multivariable logistic regression adjusted for demographics and underlying diagnosis to estimate odds ratio (OR) and 95% confidence intervals (CI) of insurance payer, comorbidity, and income with TEA outcomes. The mean age was 60 (SE, 0.29) years, 68% were female, and 62% were white among the 7992 TEA procedures. Compared with private insurance, Medicaid was associated with significantly higher ORs (95% CI) of (1) hospital charges above the median, 1.25 (95% CI, 1.01-1.53); (2) discharge to a rehabilitation facility, 1.64 (95% CI, 1.16-2.31); (3) hospital stay >2 days, 1.63 (95% CI, 1.32-2.00); (4) fracture, 1.71 (95% CI, 1.14-2.56). Medicare payer was associated with higher ORs (95% CI) of (1) discharge to a rehabilitation facility, 1.80 (95% CI, 1.42-2.28); and (2) hospital stay >2 days, 1.29 (95% CI, 1.12-1.50). Compared with Deyo-Charlson score of zero, odds of health care utilization outcomes were higher by 14% to 20% for score of 1 and by 62% to 146% for score of 2 or higher, and by 36% to 257% for transfusion. The lowest income quartile had significantly higher OR of 1.51 (95% CI, 1.31-1.73) of hospital charges above the median versus the highest quartile. Payer type, comorbidity, and income were associated with higher health care utilization and complications post-TEA. Further investigation into potentially modifiable mediators is needed.

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