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Annual Variation in 30-Day Risk-Adjusted Readmission Rates in U.S. Children's Hospitals
Emily M Bucholz1, Matt Hall2, Mitch Harris2
1Division of Cardiology (EM Bucholz), Children's Hospital of Colorado and the University of Colorado School of Medicine, Aurora.
Insights
Pediatric readmission rates showed short-term stability but little long-term improvement. Hospital performance on risk-adjusted readmission rates (RARRs) remained consistent year-to-year, indicating measure reliability.
Area of Science:
- Pediatric healthcare quality measurement
- Health services research
- Hospital performance analysis
Background:
- Reducing pediatric readmissions is a national healthcare priority.
- The reliability of readmission rates as a quality metric is debated.
- Understanding the stability of these rates is crucial for accurate quality assessment.
Purpose of the Study:
- To evaluate the short-term (1 year) and long-term (3 years) stability of hospital readmission rates.
- To assess changes in hospital performance over time using risk-adjusted readmission rates (RARRs).
Main Methods:
- Analysis of 30-day RARRs from the Pediatric Health Information System for 47 US children's hospitals (2016-2019).
- Comparison of annual RARRs using Pearson correlation and weighted Cohen's Kappa statistics.
- Assessment of short-term (2016 vs. 2017) and long-term (2016 vs. 2019) stability and changes.
Main Results:
- Median RARRs remained stable overall (7.7% in 2016 to 7.6% in 2019).
- Strong short-term correlation (R²=0.89) and moderate long-term correlation (R²=0.49) in individual hospital RARRs.
- Higher agreement for short-term (Kappa=0.73) than long-term (Kappa=0.45) changes; few hospitals showed sustained RARR reductions.
Conclusions:
- Hospital performance on RARRs demonstrates short-term stability, supporting their reliability as a quality measure.
- Limited evidence suggests sustained improvement in hospital-level performance over multiple years.
- Focus may be needed on identifying factors contributing to sustained reductions in pediatric readmissions.
Objective:
Reducing pediatric readmissions has become a national priority; however, the use of readmission rates as a quality metric remains controversial. The goal of this study was to examine short-term stability and long-term changes in hospital readmission rates.
Methods:
Data from the Pediatric Health Information System were used to compare annual 30-day risk-adjusted readmission rates (RARRs) in 47 US children's hospitals from 2016 to 2017 (short-term) and 2016 to 2019 (long-term). Pearson correlation coefficients and weighted Cohen's Kappa statistics were used to measure correlation and agreement across years for hospital-level RARRs and performance quartiles.
Results:
Median (IQR) 30-day RARRs remained stable from 7.7% (7.0-8.3) in 2016 to 7.6% (7.0-8.1) in 2019. Individual hospital RARRs in 2016 were strongly correlated with the same hospital's 2017 rate (R2 = 0.89 [95% confidence interval (CI) 0.80-0.94]) and moderately correlated with those in 2019 (R2 = 0.49 [95%CI 0.23-0.68]). Short-term RARRs (2016 vs 2017) were more highly correlated for medical conditions than surgical conditions, but correlations between long-term medical and surgical RARRs (2016 vs 2019) were similar. Agreement between RARRs was higher when comparing short-term changes (0.73 [95%CI 0.59-0.86]) than long-term changes (0.45 [95%CI 0.27-0.63]). From 2016 to 2019, RARRs increased by ≥1% in 7 (15%) hospitals and decreased by ≥1% in 6 (13%) hospitals. Only 7 (15%) hospitals experienced reductions in RARRs over the short and long-term.
Conclusions:
Hospital-level performance on RARRs remained stable with high agreement over the short-term suggesting stability of readmission measures. There was little evidence of sustained improvement in hospital-level performance over multiple years.
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