Abstract

BackgroundPatients’ post-operative satisfaction with their hospital experience is important to patient care, hospital reimbursement, and comparison between hospitals. The Press Ganey (PG) inpatient survey is commonly administered to assess patient satisfaction with the process of care. However, whether patient PG survey scores following primary unilateral hip and knee arthroplasty are associated with a patient’s race and socioeconomic status (SES) is unknown.ObjectivesWe aimed to determine whether patient PG survey overall assessment scores differ by race and SES.MethodsWe linked data for patients in large institutional hip and knee arthroplasty registries consisting of surgeries from July 2010–February 2012 to their PG survey responses. Patients undergoing primary unilateral surgery of Black or White race who resided in New York, New Jersey, or Connecticut at the time of surgery were included in the analysis. The primary outcome variable was the PG overall assessment score, calculated as the mean of a patient’s ratings for the three questions in the “Overall Assessment” section of the PG survey and dichotomized as either completely satisfied (score of 100) or not completely satisfied (score <100). Primary payor was used as a proxy for patient SES. Multivariable logistic regression was performed for the hip and knee cohorts separately to determine if patient race and primary payor were associated with not being completely satisfied, adjusting for age, sex, and American Society of Anesthesiology (ASA) score.ResultsThere were 2,516 hip patients and 2,113 knee patients with PG overall assessment scores included in the analyses (Table 1). Black patients were more likely to be not completely satisfied compared to White patients in both cohorts [hip (odds ratio (OR)=1.64; 95% confidence interval (CI): 1.03, 2.61; p=0.04)]; [knee (OR=1.83; 95% CI: 1.16, 2.88; p=0.01). In the hip cohort, patients between 70-79 years old (OR=1.71; 95% CI: 1.09, 2.67; p=0.02) and older than 80 years (OR=2.00; 95% CI: 1.20, 3.32; p<0.01) were more likely to be not completely satisfied. In the knee cohort, patients 50-59 years old (OR=0.56; 95% CI: 0.33, 0.97; p=0.04) and 60-69 years old (OR=0.57; 95% CI: 0.33, 0.96; p=0.03) were less likely to be not completely satisfied compared to patients <50 years old.Table 1.Likelihood of not being completely satisfied with the process of care (PG score <100)VariableReferenceCategoryHip Cohort (n = 2,516)Knee Cohort (n = 2,113)Odds Ratio95% CIp-valueOdds Ratio95% CIp-valueAge Group<5050-591.02(0.69, 1.50)0.9390.56(0.32, 0.97)0.039<5060-691.04(0.70, 1.54)0.8580.57(0.33, 0.96)0.034<5070-791.71(1.09, 2.67)0.0190.63(0.36, 1.11)0.113<5080+2.00(1.20, 3.32)0.0080.97(0.53, 1.77)0.912SexFemaleMale0.84(0.69, 1.02)0.0821.03(0.83, 1.26)0.816RaceWhiteBlack1.64(1.03, 2.61)0.0381.83(1.16, 2.88)0.010ASA status121.04(0.70, 1.55)0.8321.23(0.60, 2.51)0.580131.45(0.91, 2.29)0.1161.36(0.64, 2.87)0.41914<0.01(0.00, ***)0.968<0.01(0.00, ***)0.977Primary PayorMedicareMedicaid1.35(0.26, 7.01)0.718<0.01(0.00, ***)0.983MedicareOther/Unknown1.24(0.94, 1.64)0.1260.87(0.65, 1.17)0.362MedicarePrivate1.13(0.61, 2.10)0.6881.01(0.57, 1.78)0.983ASA = American Society of Anesthesiologist (ASA) physical status classification. PG = Press Ganey. CI = Confidence Interval. *** indicates >999.99. Bold indicates p < 0.05ConclusionBlack patients were less likely to be completely satisfied compared to White patients following total hip and knee arthroplasty. More research is needed to investigate other factors such as perceived staff courtesy and baseline pain and function to understand why these disparities exist.AcknowledgementsThis work was supported by the Stavros Niarchos Complex Joint Reconstruction Center at Hospital for Special Surgery. The content is solely the responsibility of the authors and does not necessarily represent the official views of the center.Disclosure of InterestsJ. Alex Gibbons: None declared, Orett Burke Jr: None declared, Huong Do: None declared, Emily Ying Lai: None declared, Bella Mehta Paid instructor for: Novartis, Letitia Bradford: None declared, Michael Parks Consultant of: ZimmerBiomet, Linda Russell: None declared, Anne Bass: None declared, Mark Figgie Shareholder of: HS2, Mekanika, and Wishbone, Consultant of: Lima and Wishbone, Susan Goodman Consultant of: UCB, Grant/research support from: Novartis

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