Association of Shared Care Networks with Heart Failure Excessive Hospital Readmissions
Pinheiro, D.; Hartman, R.; Mai, J.; Romero, E.; Soroya, S.; Bastos-Filho, C.; Lima, R.; Gibson, M.; Ebong, I.; Bidwell, J. T.; Nuno, M.; Cadeiras, M.
Show abstract
STRUCTURED ABSTRACTO_ST_ABSObjectivesC_ST_ABSThis study aimed to evaluate the impact of shared care networks on heart failure readmission rates. BackgroundHigher-than-expected heart failure (HF) readmissions affect half of US hospitals every year. The Hospital Reduction Readmission Program (HRRP) has reduced risk-adjusted readmissions, but it has also produced unintended consequences. Shared care models have been advocated for HF care, but the association of shared care networks with HF readmissions has never been investigated. MethodsWe curated publicly available data on hospital discharges and HF excessive readmission ratios (ERRs) from hospitals in California between 2012 and 2017. Shared Care Areas (SCAs) were delineated as data-driven units of care coordination emerging from discharge networks. The localization index (LI), the proportion of patients who reside in the same SCA in which they are admitted, were calculated by year. Generalized estimating equations (GEE) were used to evaluate the association between the LI and the ERR of hospitals controlling for race/ethnicity and socioeconomics factors. ResultsA total of 300 hospitals in California in a 6-yr period were included. The HF excessive readmission ratio (ERR) was negatively associated with the localization index (beta: -0.0474; 95% CI: -0.082 to -0.013). The percentage of Black residents within the SCAs was the only statistically significant covariate (beta: 0.4128; 95% CI: 0.302 to 0.524). ConclusionsHigher-than-expected HF readmissions were associated with shared care networks. Control mechanisms such as the HRRP may need to characterize and reward shared care to guide hospitals towards a more organized HF care system.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- External validation of a claims-based model to predict left ventricular ejection fraction class in patients with heart failure 94%
- Hospital segregation, critical care strain, and inpatient mortality during the COVID-19 pandemic in New York City 94%
- Determinants of hospital outcomes for COVID-19 infections in a large Pennsylvania Health System 93%
Similar papers in this journal
- Trends in Gaps of Care for Congenital Heart Disease Patients: Implications for Social Determinants of Health and Child Opportunity Index 93%
- Impact of social vulnerability on cardiac arrest mortality in the United States, 2016-2020 92%
- Patient Risk-Benefit Preferences for Transcatheter versus Surgical Mitral Valve Repair 92%
Similar papers in this journal
- Improving Hospital Readmission Prediction using Individualized Utility Analysis 90%
- Natural language processing for scalable feature engineering and ultra-high-dimensional confounding adjustment in healthcare database studies 89%
- Demonstrating the Consequences of Learning Missingness Patterns in Early Warning Systems for Preventative Health Care: A Novel Simulation and Solution 89%
Similar papers in this journal
- Derivation and external validation of a simple risk score to predict in-hospital mortality in patients hospitalized for COVID-19 92%
- Association of the medical therapy with beta-blockers or inhibitors of renin-angiotensin system with clinical outcomes in patients with mildly reduced left ventricular ejection fraction after acute myocardial infarction 92%
- Decreased door-to-balloon time in patients with ST-segment elevation myocardial infarction during the early COVID-19 pandemic in South Korea – an observational study 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.