Predictors of Readmission in Heart Failure Patients Vary by Cause of Readmission: Hospital-Level Cause-Specific Readmission Rates Show No Correlation

2013 ◽  
Author(s):  
Alex Bottle ◽  
Paul Aylin ◽  
Derek Bell
Keyword(s):  
Heart Failure ◽  
Hospital Level ◽  
Readmission Rates ◽  
Heart Failure Patients

scholarly journals Multi-level models for heart failure patients’ 30-day mortality and readmission rates: the relation between patient and hospital factors in administrative data

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Afsaneh Roshanghalb ◽  
Cristina Mazzali ◽  
Emanuele Lettieri
Keyword(s):  
Heart Failure ◽  
Quality Of Care ◽  
Public Hospitals ◽  
Unplanned Readmission ◽  
Hospital Level ◽  
Readmission Rates ◽  
Heart Failure Patients ◽  
Multi Level ◽  
Hospital Factors

Abstract Background This study aims at gathering evidence about the relation between 30-day mortality and 30-day unplanned readmission and patient and hospital factors. By definition, we refer to 30-day mortality and 30-day unplanned readmission as the number of deaths and non-programmed hospitalizations for any cause within 30 days after the incident heart failure (HF). In particular, the focus is on the role played by hospital-level factors. Methods A multi-level logistic model that combines patient- and hospital-level covariates has been developed to better disentangle the role played by the two groups of covariates. Later on, hospital outliers in term of better-than-expected/worst-than-expected performers have been identified by comparing expected cases vs. observed cases. Hospitals performance in terms of 30-day mortality and 30-day unplanned readmission rates have been visualized through the creation of funnel plots. Covariates have been selected coherently to past literature. Data comes from the hospital discharge forms for Heart Failure patients in the Lombardy Region (Northern Italy). Considering incident cases for HF in the timespan 2010–2012, 78,907 records for adult patients from 117 hospitals have been collected after quality checks. Results Our results show that 30-day mortality and 30-day unplanned readmissions are explained by hospital-level covariates, paving the way for the design and implementation of evidence-based improvement strategies. While the percentage of surgical DRG (OR = 1.001; CI (1.000–1.002)) and the hospital type of structure (Research hospitals vs. non-research public hospitals (OR = 0.62; CI (0.48–0.80)) and Non-research private hospitals vs. non-research hospitals OR = 0.75; CI (0.63–0.90)) are significant for mortality, the mean length of stay (OR = 0.96; CI (0.95–0.98)) is significant for unplanned readmission, showing that mortality and readmission rates might be improved through different strategies. Conclusion Our results confirm that hospital-level covariates do affect quality of care, and that 30-day mortality and 30-day unplanned readmission are affected by different managerial choices. This confirms that hospitals should be accountable for their “added value” to quality of care.

Abstract 18599: Clinical Assessment of Hemodynamic Profiles Predict Readmission and Mortality in Diastolic Heart Failure Patients

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Mohammed Siddiqui ◽  
Salpy V Pamboukian ◽  
Jose A Tallaj ◽  
Michael Falola ◽  
Sula Mazimba
Keyword(s):  
Heart Failure ◽  
Clinical Assessment ◽  
Diastolic Heart Failure ◽  
Clinical Care ◽  
Systolic Heart Failure ◽  
Health Care Expenditures ◽  
Left Ventricular ◽  
Readmission Rates ◽  
Heart Failure Patients ◽  
Increased Risk

Background: Reducing 30 day readmission rates for patients with heart failure (HF) has been a recent focus of lowering health care expenditures. Hemodynamic profiles (HP) have been associated with clinical outcomes in chronic systolic HF. The relationship of HP to outcomes in acute decompensated diastolic HF (DHF) has not been defined. Methods: This case-control study of 1892 DHF patients discharged alive from an academic hospital between 2002-2012 with left ventricular function greater or equal to 45% were categorized into 4 groups: Profile A, no evidence of congestion and hypoperfusion (dry-warm); Profile B, congestion with adequate perfusion (wet-warm); Profile C, congestion with hypoperfusion (wet-cold); and Profile L, hypoperfusion without congestion (dry-cold). All cause readmissions at 30 days and 1 year and mortality at 30 days and 1 year were examined. Statistical analysis using multivariable Cox Proportional hazard model was performed adjusting for demographic, clinical, care and hospital characteristics. Results: Of the 1892 patients, 1196 (63%) were females; mean age was 68 (±14) years. There were 724(38%), 1000 (53%), 88(5%) and 80 (4%) patients in the hemodynamic profiles A, B, C and L respectively. Profiles B and C were associated with an increased risk for 30-day all-cause HF readmission compared to profiles A and L: Hazard ratio (HR) [1.38 (95% C.I 1.17-1.61)], [1.39 (95% C.I 1.18-1.62)] for B and C profiles respectively. Profiles C and L were associated with increased mortality at 1 year: HR [1.46 (95% CI 1.06-1.89)] and [1.31 (95% CI 1.01-1.64)] for A and L profiles respectively (Table). Conclusions: Clinical assessment of HP can help identify DHF patients at increased risk of readmission and mortality, similar to systolic heart failure patients.

scholarly journals Comprehensive electronic medical record implementation levels not associated with 30-day all-cause readmissions within Medicare beneficiaries with heart failure.

2014 ◽  
Vol 05 (03) ◽  
pp. 670-684 ◽  
Author(s):  
P. Marken ◽  
Y. Zhong ◽  
S. D. Simon ◽  
W. Ketcherside ◽  
M. E. Patterson
Keyword(s):  
Heart Failure ◽  
Electronic Health Record ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Incidence Rates ◽  
Health Record ◽  
Medicare Beneficiaries ◽  
Readmission Rates ◽  
Heart Failure Patients ◽  
Electronic Health

SummaryBackground: Regulatory standards for 30-day readmissions incentivize hospitals to improve quality of care. Implementing comprehensive electronic health record systems potentially decreases readmission rates by improving medication reconciliation at discharge, demonstrating the additional benefits of inpatient EHRs beyond improved safety and decreased errors.Objective: To compare 30-day all-cause readmission incidence rates within Medicare fee-for-service with heart failure discharged from hospitals with full implementation levels of comprehensive EHR systems versus those without.Methods: This retrospective cohort study uses data from the American Hospital Association Health IT survey and Medicare Part A claims to measure associations between hospital EHR implementation levels and beneficiary readmissions. Multivariable Cox regressions estimate the hazard ratio of 30-day all-cause readmissions within beneficiaries discharged from hospitals implementing comprehensive EHRs versus those without, controlling for beneficiary health status and hospital organizational factors. Propensity scores are used to account for selection bias.Results: The proportion of heart failure patients with 30-day all-cause readmissions was 30%, 29%, and 32% for those discharged from hospitals with full, some, and no comprehensive EHR systems. Heart failure patients discharged from hospitals with fully implemented comprehensive EHRs compared to those with no comprehensive EHR systems had equivalent 30-day readmission incidence rates (HR = 0.97, 95% CI 0.73 – 1.3)Conclusions: Implementation of comprehensive electronic health record systems does not necessarily improve a hospital’s ability to decrease 30-day readmission rates. Improving the efficiency of post-acute care will require more coordination of information systems between inpatient and ambulatory providers.Citation: Patterson ME, Marken P, Zhong Y, Simon SD, Ketcherside W. Comprehensive electronic medical record implementation levels not associated with 30-day all-cause readmissions within Medicare beneficiaries with heart failure. Appl Clin Inf 2014; 5: 670–684http://dx.doi.org/10.4338/ACI-2014-01-RA-0008

Abstract 251: Gender Equity in Rates of Guideline-Directed Medical Therapy Prescription at Discharge for Hospitalized Heart Failure Patients

2018 ◽  
Vol 11 (suppl_1) ◽  
Author(s):  
Erin R Cleveland ◽  
Carla Berkowitz ◽  
Adam Pissaris ◽  
Victor Valencia ◽  
R K Mutharasan
Keyword(s):  
Heart Failure ◽  
Medical Therapy ◽  
Morbidity And Mortality ◽  
Readmission Rates ◽  
Mineralocorticoid Receptor Antagonist ◽  
Heart Failure Patients ◽  
Neprilysin Inhibitor ◽  
Significant Difference ◽  
Prescription Rates ◽  
The Impact

Background: Heart failure (HF) is an increasingly prevalent condition with significant morbidity and mortality. Guideline-directed medical therapy (GDMT) reduces morbidity and mortality in heart failure with reduced ejection fraction, but continues to be under-prescribed. There is a paucity of data on the impact of patient gender on the quality of HF care, although it has previously been shown that women with other cardiovascular conditions, such as coronary artery disease, receive less intensive treatment. We sought to determine whether there is a difference in rates of prescription of GDMT for patients hospitalized with heart failure by gender with the hypothesis that rates of GDMT prescription in women would be lower than that in men. Methods: Over a six month study window, we identified 246 patients discharged from an urban academic medical center with a primary discharge diagnosis of systolic heart failure. Systematic chart review was performed to identify whether patients were discharged with the following medications: angiotensin converting enzyme inhibitor (ACE-I), angiotensin receptor blocker (ARB), beta blocker (BB), mineralocorticoid receptor antagonist (MRA), hydralazine and a nitrate, and neprilysin inhibitor/ARB. Statistical analysis was performed to evaluate for an association between rates of GDMT prescription and gender. Regression analysis was then performed to adjust for age, weight, serum potassium, and 1/(discharge creatinine). Results: At the time of discharge, there was no statistically significant difference in the rate of GDMT prescription for females compared to males in either the unadjusted or adjusted models. ACE-I or ARB prescription rates were 59% in females and 50% in males (p=0.11); BB prescription rates were 89% in females and 84% in males (p=0.27); MRA prescription rates were 43% in females and 52% in males (p=0.19). Prescription rates of combination therapy of ACE-I or ARB with BB and MRA were 30% in females and 31% in males (p=0.78). There was a significant difference in 30 day all-cause unadjusted readmission rates in females (22%) compared to males (37%) (p<0.05). Conclusions: In this sample of hospitalized heart failure patients, no difference was found in rates of GDMT prescription for women as compared to men. Readmission rates were significantly higher for men than women, consistent with national data. Further investigation will determine the extent to which equity in prescription rates translates into improved outcomes for women hospitalized with heart failure.

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