Skip to main content

Table 4 Area under the receiver operating characteristics (ROC) curve of the case-mix based logistic regression models to identify patients located above the 95th 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)

  

0,816

(0.813 - 0.818)

    

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

  

0,761

(0.760 - 0.764)

    

A&S + dx

    

0,787

(0.786 - 0.789)

0,824

(0.822 - 0.825)

A&S + dx + rx + cost

      

0,852

(0.851 - 0.853)

Recalibration

        

Variables:

        

A&S (Age and sex)

0,774

(0.773 - 0.776)

      

A&S + Only Dx

  

0,845

(0.844 - 0.847)

0,797

(0.795 - 0.798)

0,846

(0.845 - 0.848)

A&S + Only Rx

  

0,833

(0.831 - 0.834)

  

0,837

(0.836 - 0.838)

A&S + Dx + Rx

  

0,847

(0.853 - 0.856)

  

0,858

(0.857 - 0.859)

A&S + Dx + Rx + cost percentile

  

0,868

(0.866- 0.869)

0.848*

(0.847 - 0.849)

0,868

(0.867 - 0.869)

A&S + Dx + Rx + cost percentile + DI

  

0,868

(0.867 - 0.869)

0.848*

(0.847 - 0.850)

0,868

 
  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.