scholarly journals Relationship Between Hospital Readmission and Mortality Rates for Patients Hospitalized With Acute Myocardial Infarction, Heart Failure, or Pneumonia

JAMA ◽  
2013 ◽  
Vol 309 (6) ◽  
pp. 587 ◽  
Author(s):  
Harlan M. Krumholz ◽  
Zhenqiu Lin ◽  
Patricia S. Keenan ◽  
Jersey Chen ◽  
Joseph S. Ross ◽  
...  
Author(s):  
Kumar Dharmarajan ◽  
Yongfei Wang ◽  
Susannah Bernheim ◽  
Zhenqiu Lin ◽  
Leora Horwitz ◽  
...  

Background: It is unknown if financial pressures to reduce hospital readmission rates following passage of the Affordable Care Act (ACA) have had the unintended effect of increasing mortality rates after hospitalization. We therefore examined correlations between paired changes in hospital 30-day readmission rates and 30-day mortality rates among Medicare fee-for-service beneficiaries hospitalized with heart failure (HF), acute myocardial infarction (AMI), or pneumonia from 2008 to 2014. Methods: We used linear regression to calculate monthly changes in hospitals’ 30-day risk-adjusted readmission rates (RARRs) and 30-day risk-adjusted mortality rates (RAMRs) after discharge for HF, AMI, and pneumonia from 2008 to 2014. Adjustment was made for patient age, sex, comorbidities, hospital length of stay, and season. We then examined the correlation of hospitals’ paired monthly changes in 30-day RARRs and monthly changes in 30-day RAMRs after discharge. Results: From 2008 to 2014, we identified 2,962,554, 1,229,939, and 2,544,530 hospitalizations for HF, AMI, and pneumonia at 5,016, 4,772, and 5,057 hospitals, respectively. Hospital 30-day RARRs declined for all three conditions from 2008 to 2014; the monthly change in RARRs was -0.053 (95% CI -0.055, -0.051) for HF, -0.044 (95% CI -0.047, -0.041) for AMI, and -0.033 (95% CI -0.035, -0.031) for pneumonia. In contrast, the monthly change in hospital 30-day RAMRs after discharge varied by admitting condition and was 0.008 (95% CI 0.007, 0.010) for HF, -0.003 (95% CI -0.006, -0.001) for AMI, and 0.001 (95% CI -0.001, 0.003) for pneumonia. The correlation between monthly changes in hospitals’ 30-day RARRs and 30-day RAMRs after discharge was 0.060 for HF (p<0.001), 0.059 for AMI (p=0.003), and 0.106 for pneumonia (p<0.001). Representative data showing the poor correlation in hospitals’ paired monthly changes in 30-day RARRs and 30-day RAMRs for AMI is shown in the Figure. Conclusion: Changes in hospital readmission rates for HF, AMI, and pneumonia were poorly correlated with changes in mortality rates after hospitalization between 2008 and 2014. These findings suggest that financial incentives to improve hospitals’ readmission performance have not increased mortality after hospitalization.


2013 ◽  
Vol 35 (2) ◽  
pp. 15-23 ◽  
Author(s):  
David S. Aaronson ◽  
Naomi S. Bardach ◽  
Grace A. Lin ◽  
Arpita Chattopadhyay ◽  
Elizabeth L. Goldman ◽  
...  

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Emefah C Loccoh ◽  
Karen E Joynt Maddox ◽  
Yun Wang ◽  
Dhruv Kazi ◽  
Robert W Yeh ◽  
...  

Introduction: Over the last decade, disparities in cardiovascular mortality have widened between rural and urban areas of the US. Our objective was to determine whether there were differences in treatment patterns and outcomes for acute cardiovascular conditions at rural and urban hospitals. Methods: We used 100% Medicare Claims to identify beneficiaries age 65 years hospitalized 1/1/2016-12/31/2017 for acute myocardial infarction (AMI), heart failure (HF), and ischemic stroke. We fit a mixed effects model with a logit link function and hospital random intercepts to evaluate condition-specific procedure rates (PCI/CABG, cerebral arteriography, systemic thrombolysis) and 30-day and 1-year mortality rates for beneficiaries admitted to rural vs. urban hospitals, adjusted for age, sex, dual enrollment, and clinical comorbidities. Results: Our study included 398,673 beneficiaries hospitalized for AMI (mean age 77.3 years), 690,218 for heart failure (80.3 years), and 378,170 for stroke (79.4 years). The proportion of AMI, HF, and stroke hospitalizations that occurred at rural hospitals was 10.7%, 14.2%, and 10.6%. Procedures were performed less frequently for beneficiaries admitted to rural compared with urban hospitals (PCI/CABG within 30 days of AMI: adjusted odds ratio [aOR] 0.50, 95% CI 0.47-0.54; cerebral arteriography [aOR 0.15, 0.11-0.22]; and systemic thrombolysis [aOR 0.47, 0.43-0.52] for stroke). Thirty-day mortality was higher at rural vs. urban hospitals for AMI (aOR 1.26, 1.21-1.31), HF (aOR 1.14, 1.11-1.17) and stroke (aOR 1.11, 1.07-1.16), as was 1-year mortality (AMI: aOR 1.31, 1.26-1.35; HF: aOR 1.10, 1.08-1.12; Stroke: aOR 1.14, 1.10-1.17). Conclusion: Older adults admitted to rural hospitals for acute cardiovascular conditions receive lower intensity care and experience higher mortality rates than those admitted to urban hospitals. Policy initiatives that improve cardiovascular care at rural hospitals are urgently needed.


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