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Table 5 Performance of the algorithm in predicting readmission for Queensland compared to UK and US data

From: Using routine inpatient data to identify patients at risk of hospital readmission

  Risk score threshold
  50% 70% 80%
Queensland data    
Sensitivity (95% CI) 44.7 (42.5–46.9) 7.8 (6.7–9.1) 1.1 (0.1–1.7)
Specificity (95% CI) 78.1 (76.4–79.6) 97.5 (96.8–98.1) 99.8 (99.6–99.9)
False positive rate (95% CI) 37.5 (35.0–40.0) 28.2 (22.3–34.6) 14.8 (4.2–33.7)
LR+ (95% CI) 2.04 (1.86–2.23) 3.11 (2.33–4.15) 7.02 (2.43–20.28)
LR- (95% CI) 0.71 (0.68–0.74) 0.95 (0.93–0.96) 0.99 (0.99–1.00)
UK study[11]    
Sensitivity 54.3 17.8 8.1
Specificity 72.2 95.0 98.6
False positive rate 34.7 22.6 15.7
LR+ (95% CI) 2.0 3.6 5.8
LR- (95% CI) 0.6 0.9 0.9
US study[14]    
Sensitivity 57.9 Not reported Not reported
Specificity 70.7   
False positive rate 34.1   
LR+ (95% CI) 2.0   
LR- (95% CI) 0.6