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Table 4 AUCs for clinician predictions based on clinician-identified patient risk factors for readmission

From: Clinicians can independently predict 30-day hospital readmissions as well as the LACE index

Patient identified as having: AUC for Clinician Predictions (95% CI)
Residents Attendings Nurses
Poor understanding 0.516 (0.355, 0.675) n = 79 0.713 (0.590, 0.836) n = 88 0.778 (0.614, 0.941) n = 44
Poor adherence 0.700 (0.532, 0.868) n = 52 0.610 (0.456, 0.765) n = 68 0.498 (0.280, 0.717) n = 40
Poor social support 0.669 (0.457, 0.881) n = 53 0.631 (0.432, 0.831) n = 52 0.593 (0.337, 0.849) n = 24
Severe disease 0.629 (0.542, 0.717) n = 206 0.649 (0.569, 0.728) n = 220 0.572 (0.434, 0.710) n = 93
High-risk therapy 0.577 (0.416, 0.738) n = 74 0.594 (0.461, 0.727) n = 87 0.616 (0.405, 0.826) n = 45
Medically complex 0.594 (0.464, 0.724) n = 88 0.601 (0.459, 0.742) n = 75 0.543 (0.363, 0.723) n = 52
Organ transplant 0.493 (0.309, 0.677) n = 48 0.661 (0.504, 0.818) n = 49 0.574 (0.314, 0.834) n = 30
Previous admission 0.660 (0.490, 0.829) n = 43 0.510 (0.266, 0.754) n = 26 0.547 (0.263, 0.831) n = 22