Abstract

To evaluate effect of patient and physician demographics on Press Ganey (PG) survey ratings for urologists. PG surveys (02/2020-08/2021) for urologists at a single tertiary care center were analyzed. Univariate and multivariate logistic regression models were used to assess the relationship between patient and physician-level covariates and the primary outcome of a "topbox" Overall Doctor Rating (topbox-ODR) score of 9 or 10 of 10. A total of 4155 surveys of 20 attending urologists (8 female (F)) across 7 subspecialties, were assessed. Mean ODR score for F physicians was 9.2 (SD 1.7) compared to 9.5 (SD 1.3) for males (M), P < .001. Univariate regression demonstrated that F patients are less likely (OR 0.27, P < .001) to give topbox-ODRs than M patients, and F physicians are 58% less likely (OR 0.42, P = .01) to receive topbox-ODRs than M physicians. Oncologists are more likely to receive topbox-ODRs (OR 3.3, P = .009) than all other subspecialists. Multivariate regression demonstrated that M patients are more likely to give M physicians top-box-ODRs (OR 0.32, P = .02), while F patients are less likely to give topbox-ODRs to physicians of both genders (M: OR 0.24, P < .001; F: 0.21, P < .001). Physicians in practice for >10 years are 66% less likely to receive topbox-ODRs (OR 0.33, P = .002). Urologists who care for F patients are at risk of being affected by bias in PG physician ratings. M physicians who care for M patients appear to be at the least risk; while F physicians who care for F patients appear to be at the highest risk.

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