Alternative Risk-Adjustment Approaches to Assessing the Quality of Home Health Care: Final Report. TABLE 10a: Summary of Regression Models: Cognitive Measures

07/01/2006

TABLE 10a. Summary of Regression Models: Cognitive 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
IMPROVEMENT IN CONFUSION FREQUENCY Yes  
Percent Who Could Improve: 26.7%
Percent Improving Among Those Who Could: 41.1%
Number of OASIS Items   66 41 41 43a
Number of OASIS Elements   94 59 61 67
R2 statistic   0.111 0.091 0.095 0.097
c statistic   0.693 0.673 0.678 0.680
IMPROVEMENT IN COGNITIVE FUNCTIONING No  
Percent Who Could Improve: 21.8%
Percent Improving Among Those Who Could: 43.0%
Number of OASIS Items   N/A 41    
Number of OASIS Elements     59    
R2 statistic     0.082    
c statistic     0.665    
STABILIZATION IN COGNITIVE FUNCTIONING No  
Percent Who Could Stabilize: 69.6%
Percent Stabilizing Among Those Who Could: 90.6%
Number of OASIS Items   N/A 41    
Number of OASIS Elements     59    
R2 statistic     0.078    
c statistic     0.738    
NOTES: “Percent Who Could Improve” calculated using all home health episodes, not just those discharged to the community. The smallest sample size for the Cognitive risk-adjustment models is 54,263. Shading indicates that U of CO model statistics are for multiple sub-models; we report the number of unique OASIS items and elements across all sub-models.
  1. Risk-adjustment model includes presence of impaired decision making, disruptive behavior, and memory loss prior to home health admission.

View full report

Preview
Download

"qualHH.pdf" (pdf, 3.72Mb)

Note: Documents in PDF format require the Adobe Acrobat Reader®. If you experience problems with PDF documents, please download the latest version of the Reader®