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Association of Changing Hospital Readmission Rates With Mortality Rates After Hospital Discharge.

作者信息

Dharmarajan Kumar, Wang Yongfei, Lin Zhenqiu, Normand Sharon-Lise T, Ross Joseph S, Horwitz Leora I, Desai Nihar R, Suter Lisa G, Drye Elizabeth E, Bernheim Susannah M, Krumholz Harlan M

机构信息

Center for Outcomes Research and Evaluation, Yale New Haven Health, New Haven, Connecticut2Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut3Now with Clover Health, Jersey City, New Jersey.

Center for Outcomes Research and Evaluation, Yale New Haven Health, New Haven, Connecticut2Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut.

出版信息

JAMA. 2017 Jul 18;318(3):270-278. doi: 10.1001/jama.2017.8444.


DOI:10.1001/jama.2017.8444
PMID:28719692
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5817448/
Abstract

IMPORTANCE: The Affordable Care Act has led to US national reductions in hospital 30-day readmission rates for heart failure (HF), acute myocardial infarction (AMI), and pneumonia. Whether readmission reductions have had the unintended consequence of increasing mortality after hospitalization is unknown. OBJECTIVE: To examine the correlation of paired trends in hospital 30-day readmission rates and hospital 30-day mortality rates after discharge. DESIGN, SETTING, AND PARTICIPANTS: Retrospective study of Medicare fee-for-service beneficiaries aged 65 years or older hospitalized with HF, AMI, or pneumonia from January 1, 2008, through December 31, 2014. EXPOSURE: Thirty-day risk-adjusted readmission rate (RARR). MAIN OUTCOMES AND MEASURES: Thirty-day RARRs and 30-day risk-adjusted mortality rates (RAMRs) after discharge were calculated for each condition in each month at each hospital in 2008 through 2014. Monthly trends in each hospital's 30-day RARRs and 30-day RAMRs after discharge were examined for each condition. The weighted Pearson correlation coefficient was calculated for hospitals' paired monthly trends in 30-day RARRs and 30-day RAMRs after discharge for each condition. RESULTS: In 2008 through 2014, 2 962 554 hospitalizations for HF, 1 229 939 for AMI, and 2 544 530 for pneumonia were identified at 5016, 4772, and 5057 hospitals, respectively. In January 2008, mean hospital 30-day RARRs and 30-day RAMRs after discharge were 24.6% and 8.4% for HF, 19.3% and 7.6% for AMI, and 18.3% and 8.5% for pneumonia. Hospital 30-day RARRs declined in the aggregate across hospitals from 2008 through 2014; monthly changes in RARRs were -0.053% (95% CI, -0.055% to -0.051%) for HF, -0.044% (95% CI, -0.047% to -0.041%) for AMI, and -0.033% (95% CI, -0.035% to -0.031%) for pneumonia. In contrast, monthly aggregate changes across hospitals in hospital 30-day RAMRs after discharge varied by condition: HF, 0.008% (95% CI, 0.007% to 0.010%); AMI, -0.003% (95% CI, -0.005% to -0.001%); and pneumonia, 0.001% (95% CI, -0.001% to 0.003%). However, correlation coefficients in hospitals' paired monthly changes in 30-day RARRs and 30-day RAMRs after discharge were weakly positive: HF, 0.066 (95% CI, 0.036 to 0.096); AMI, 0.067 (95% CI, 0.027 to 0.106); and pneumonia, 0.108 (95% CI, 0.079 to 0.137). Findings were similar in secondary analyses, including with alternate definitions of hospital mortality. CONCLUSIONS AND RELEVANCE: Among Medicare fee-for-service beneficiaries hospitalized for heart failure, acute myocardial infarction, or pneumonia, reductions in hospital 30-day readmission rates were weakly but significantly correlated with reductions in hospital 30-day mortality rates after discharge. These findings do not support increasing postdischarge mortality related to reducing hospital readmissions.

摘要

相似文献

[1]
Association of Changing Hospital Readmission Rates With Mortality Rates After Hospital Discharge.

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[2]
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[3]
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[5]
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[6]
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[7]
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[3]
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[4]
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[5]
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[7]
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[8]
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[9]
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[10]
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本文引用的文献

[1]
Association Between Hospital Penalty Status Under the Hospital Readmission Reduction Program and Readmission Rates for Target and Nontarget Conditions.

JAMA. 2016-12-27

[2]
Hospital Readmissions Reduction Program: Safety-Net Hospitals Show Improvement, Modifications To Penalty Formula Still Needed.

Health Aff (Millwood). 2016-10-1

[3]
Opinions on the Hospital Readmission Reduction Program: results of a national survey of hospital leaders.

Am J Manag Care. 2016-8-1

[4]
Public Reporting of Mortality Rates for Hospitalized Medicare Patients and Trends in Mortality for Reported Conditions.

Ann Intern Med. 2016-8-2

[5]
Associations between hospital-wide readmission rates and mortality measures at the hospital level: Are hospital-wide readmissions a measure of quality?

J Hosp Med. 2016-9

[6]
Association between the Value-Based Purchasing pay for performance program and patient mortality in US hospitals: observational study.

BMJ. 2016-5-9

[7]
What Works in Readmissions Reduction: How Hospitals Improve Performance.

Med Care. 2016-6

[8]
Readmissions, Observation, and the Hospital Readmissions Reduction Program.

N Engl J Med. 2016-2-24

[9]
Mortality, Hospitalizations, and Expenditures for the Medicare Population Aged 65 Years or Older, 1999-2013.

JAMA. 2015-7-28

[10]
Development and Validation of an Algorithm to Identify Planned Readmissions From Claims Data.

J Hosp Med. 2015-10

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