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Table 5 Area under the receiver operating characteristics (ROC) curve of the case-mix based logistic regression models to identify patients located above the 99th percentile of health spending

From: Predictive risk modelling in the Spanish population: a cross-sectional study

 

Demographic variables only

ACG-PM

CRG

DCG-HCC

Out of the box

AUC

95% CI

AUC

95% CI

AUC

95% CI

AUC

95% CI

Variables:

        

A&S + dx + rx + cost percentiles (age < 65)

  

0,852

(0.847 - 0.857)

    

A&S + dx + rx + cost percentiles (age 65+)

  

0,779

(0.774 - 0.783)

    

A&S + dx

    

0,814

(0.811 - 0.818)

0,858

(0.8556 - 0.861)

A&S + dx + rx + cost

      

0,882

(0.880 - 0.885)

Recalibration

        

Variables:

        

A&S (Age and sex)

0,811

(0.809 - 0.814)

      

A&S + Only Dx

  

0,882

(0.880 - 0.884)

0,829

(0.826 - 0.832)

0,884

(0.882 - 0.886)

A&S + Only Rx

  

0,862

(0.859 - 0.864)

  

0,865

(0.863 - 0.868)

A&S + Dx + Rx

  

0,889

(0.887 - 0.891)

  

0,892

(0.890 - 0.894)

A&S + Dx + Rx + cost percentile

  

0,897

(0.895 - 0.899)

0,869*

(0.866 - 0.871)

0,899

(0.897 - 0.901)

A&S + Dx + Rx + cost percentile + DI

  

0,897

(0.895 - 0.899)

0,869*

(0.866 - 0.872)

0,899

(0.897 - 0.902)

  1. *The CRG models do not include prescriptions.
  2. Age groups: 14–17; 18–34; 35–44; 45–54; 55–64; 65–69; 70–74; 75–79; 80–84; 85 + .
  3. Cost groups in percentiles: 0–1; 2–10; 11–25; 26–50; 51–75; 76–90; 91–93; 94–95; 96–97; 98 + .
  4. Dx diagnoses, Rx prescriptions, DI Deprivation index.