Alternative Risk-Adjustment Approaches to Assessing the Quality of Home Health Care: Final Report. TABLE 11a: Summary of Regression Models: Utilization Measures

07/01/2006

TABLE 11a. Summary of Regression Models: Utilization Measures
  Risk-Adjusted in OBQI or HHQI University of Colorado Model Model 1 Clinical Core (Baseline Model) Model 2 Adds Outcome-Specific Model 3 Adds OASIS “Prior” Items
ACUTE CARE HOSPITALIZATION Yes  
Percent Who Could Be Hospitalized: 100.0%
Percent Hospitalized: 28.2%
Number of OASIS Items   49 41 44 a
Number of OASIS Elements   75 59 62  
R2 statistic   0.152 0.119 0.125  
c statistic   0.740 0.714 0.719  
DISCHARGED TO THE COMMUNITY Yes  
Percent Who Could Be Discharged to Community: 99.5%
Percent Discharged to the Community: 68.1%
Number of OASIS Items   53 41 44 a
Number of OASIS Elements   79 59 62  
R2 statistic   0.185 0.147 0.153  
c statistic   0.753 0.728 0.732  
EMERGENT CARE Yes  
Percent Who Could Have Emergent Care: 97.6%
Percent with Emergent Care: 22.7%
Number of OASIS Items   44 41 44 a
Number of OASIS Elements   69 59 62  
R2 statistic   0.100 0.072 0.075  
c statistic   0.710 0.679 0.683  
NOTES: The smallest sample size for the Utilization risk-adjustment models is 243,865.
  1. There are no “prior” items for inclusion in the utilization risk-adjustment models.

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