Methods for Analyzing Quality Measure Performance
Calculate reliability using one-way ANOVA method
Calculate reliability using a Beta-Binomial model
Calculate reliability using a hierarchical logistic regression model
Calculate reliability using a hierarchical linear regression model
Calculate measure performance by accountable entity
Calculate reliability of quality measure performance
Calculate reliability using resampling inter-unit reliability method
Calculate reliability using split-sample method
Parameters for performance calculations
Parameters for reliability calculations
Calculate misclassification probabilities (in progress)
Calculate model performance
Plot calibration curve for risk-adjustment model
Plot estimates from regression model used for risk-adjustment
Plot sample size distribution across accountable entities
Plot measure performance across accountable entities
Plot densities of predicted values by outcome group
Plot distributions of reliability estimates across entities
Example plot of values used to calcualte split-sample reliability.
Simulate data
Quality of care is compared across accountable entities, including hospitals, provider groups, and insurance plans, using standardized quality measures. However, observed variations in quality measure performance might be the result of chance sampling or measurement errors. Contains functions for estimating the reliability of unadjusted and risk-standardized quality measures.