A claims-based model for hospital risk-standardized 30-day readmission rates in heart failure patients produced estimates highly correlated with a medical record model (correlation 0.97).
Observational
Yes
Can an administrative claims-based model accurately profile hospital performance based on 30-day all-cause readmission rates for heart failure patients?
A claims-based model can accurately estimate hospital risk-standardized 30-day readmission rates for heart failure patients, serving as a valid surrogate for medical record-based models.
Effect estimate: correlation 0.97
BACKGROUND: Readmission soon after hospital discharge is an expensive and often preventable event for patients with heart failure. We present a model approved by the National Quality Forum for the purpose of public reporting of hospital-level readmission rates by the Centers for Medicare median difference, 0.06 percentage points). CONCLUSIONS: This claims-based model of hospital risk-standardized readmission rates for heart failure patients produces estimates that may serve as surrogates for those derived from a medical record model.
Keenan et al. (2008) conducted an observational in Heart failure. Claims-based hierarchical logistic regression model vs. Medical record model was evaluated on Hospital risk-standardized 30-day all-cause readmission rates (correlation 0.97). A claims-based model for hospital risk-standardized 30-day readmission rates in heart failure patients produced estimates highly correlated with a medical record model (correlation 0.97).