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Published on: June 10, 2025
Heart failure is a major contributor to hospital readmission penalties
Andrija Vidic1, John T Chibnall2, Paul J Hauptman1
1Division of Cardiology, Department of Internal Medicine, Saint Louis University School of Medicine, St Louis, Missouri.
Insights
Heart failure readmissions significantly impact hospital penalties under the Readmissions Reduction Program. Focusing on heart failure excess readmission ratios is key for reducing penalties.
Area of Science:
- Health Services Research
- Healthcare Policy
- Quality Improvement
Background:
- The Hospital Readmissions Reduction Program incentivizes hospitals to decrease early readmissions for heart failure (HF), acute myocardial infarction (AMI), and pneumonia (PNE).
- Understanding the drivers of readmission penalties is crucial for effective quality improvement initiatives.
Purpose of the Study:
- To analyze the contribution of each diagnosis (HF, AMI, PNE) to hospital readmission penalty size.
- To identify which diagnostic category's excess readmission ratio (ERR) most strongly correlates with penalty magnitude.
Main Methods:
- Data from the Centers for Medicare and Medicaid Services, American Hospital Association, and U.S. Census Bureau were analyzed.
- Included were readmission penalty factors, excess readmission ratios (ERRs) for HF, AMI, and PNE, hospital characteristics, and socioeconomic status.
- Regression analyses were performed to determine the variance in penalties explained by each diagnosis's ERR.
Main Results:
- 1,636 out of 2,228 hospitals received a readmission penalty.
- Heart failure ERR showed the strongest negative correlation with penalty size (r = -0.66, P < .001).
- Heart failure ERR explained the most variance in penalty magnitude (R(2) range 0.21–0.44).
Conclusions:
- Heart failure ERR, rather than the number of cases, is directly related to the magnitude of readmission penalties.
- These findings suggest that hospital quality initiatives should prioritize interventions targeting heart failure readmissions to mitigate financial penalties.
Background:
The Hospital Readmissions Reduction Program provides incentives to hospitals to reduce early readmissions for heart failure (HF), acute myocardial infarction (AMI), and pneumonia (PNE).
Methods And Results:
To examine the contribution of each diagnosis to readmissions penalty size, data were obtained from the Center for Medicare and Medicaid Services, American Hospital Association, and United States Census Bureau including number of cases; readmissions payment adjustment factor (values <1 indicate a penalty for excess readmissions), excess readmission ratio (ERR, or ratio of adjusted predicted readmission based on comorbidities, frailty, and individual patient demographics to expected probability of readmission at an average hospital) for each diagnosis, hospital teaching status, bed number, and zip code socioeconomic status. Of 2,228 hospitals with ≥25 cases per diagnosis, 1,636 received a penalty. Univariate correlation coefficients between penalty and ERR were -0.66, -0.61, and -0.43 for HF, PNE, and AMI, respectively (all P < .001). Correlation between ERRs was greatest for PNE and HF (0.30; P < .001) and weakest for PNE and AMI (0.12; P < .001). In regression analyses, the HF ERR explained the most variance in the penalty (R(2) range 0.21-0.44).
Conclusion:
HF ERR, not the number of cases, was related to penalty magnitude. These findings have implications for the design of hospital-based quality initiatives regarding readmissions.
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