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

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          Key Points

          Question

          Have hospital readmission reductions associated with the Affordable Care Act had the unintended consequence of increasing mortality after hospitalization?

          Findings

          In this cohort study of more than 5 million Medicare fee-for-service hospitalizations for heart failure, acute myocardial infarction, and pneumonia from 2008 to 2014, reductions in hospital 30-day readmission rates were weakly but significantly correlated with reductions in 30-day mortality rates after hospital discharge (correlation coefficients, 0.066, 0.067, and 0.108, respectively).

          Meaning

          These findings do not support increasing postdischarge mortality related to reducing hospital readmissions.

          Abstract

          This cohort study examines whether reductions in hospital readmission rates following hospitalizations for heart failure, acute myocardial infarction, and pneumonia are associated with mortality rates after hospital discharge among Medicare fee-for-service beneficiaries.

          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.

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          Author and article information

          Journal
          JAMA
          JAMA
          JAMA
          JAMA
          American Medical Association
          0098-7484
          1538-3598
          18 July 2017
          18 July 2017
          18 January 2018
          : 318
          : 3
          : 270-278
          Affiliations
          [1 ]Center for Outcomes Research and Evaluation, Yale New Haven Health, New Haven, Connecticut
          [2 ]Section of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
          [3 ]Now with Clover Health, Jersey City, New Jersey
          [4 ]Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts
          [5 ]Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts
          [6 ]Section of General Internal Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
          [7 ]The Robert Wood Johnson Foundation Clinical Scholars Program, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
          [8 ]Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
          [9 ]Center for Healthcare Innovation and Delivery Science, NYU Langone Medical Center, New York, New York
          [10 ]Division of Healthcare Delivery Science, Department of Population Health, New York University School of Medicine, New York
          [11 ]Division of General Internal Medicine and Clinical Innovation, Department of Medicine, New York University School of Medicine, New York
          [12 ]Section of Rheumatology, Department of Internal Medicine, Yale School of Medicine, New Haven, Connecticut
          [13 ]Section of General Pediatrics, Department of Pediatrics, Yale School of Medicine, New Haven, Connecticut
          Author notes
          Article Information
          Corresponding Author: Kumar Dharmarajan, MD, MBA, Clover Health, 3 Second St, Harborside Financial Center, Plaza 10, Ste 803, Jersey City, NJ 07302 ( kumar.dharmarajan@ 123456cloverhealth.com ).
          Accepted for Publication: June 20, 2017.
          Author Contributions: Drs Dharmarajan and Krumholz had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
          Concept and design: Dharmarajan, Krumholz.
          Acquisition, analysis, or interpretation of data: All authors.
          Drafting of the manuscript: Dharmarajan.
          Critical revision of the manuscript for important intellectual content: All authors.
          Statistical analysis: Wang, Lin, Normand.
          Obtained funding: Krumholz.
          Administrative, technical, or material support: Krumholz.
          Supervision: Krumholz.
          Conflict of Interest Disclosures: All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. All authors work under contract with the Centers for Medicare & Medicaid Services to develop and maintain performance measures. Dr Dharmarajan reported serving as a consultant and scientific advisory board member for Clover Health at the time this research was performed. Dr Normand reported serving as a statistical consultant to Yale–New Haven Hospital. Dr Ross reported receiving grants from the US Food and Drug Administration, the Laura and John Arnold Foundation, and the Agency for Healthcare Research and Quality. Dr Krumholz reported serving as chair of the cardiac scientific advisory board for UnitedHealth; being a founder of Hugo, a personal health information platform; being a participant and participant representative of the IBM Watson Health Life Sciences Board; and serving as a member of the advisory board for Element Science and the physician advisory board for Aetna. Drs Ross, Desai, and Krumholz reported receiving funds from the Blue Cross Blue Shield Association, through Yale, to better understand medical technology evidence generation. Drs Ross and Krumholz reported receiving support from the US Food and Drug Administration and Medtronic, through Yale, to develop methods for postmarket surveillance of medical devices; and receiving research support from Medtronic and Johnson & Johnson (Janssen), through Yale, to develop methods of clinical trial data sharing.
          Funding/Support: Dr Dharmarajan is supported by grant K23AG048331 from the National Institute on Aging and the American Federation for Aging Research through the Paul B. Beeson Career Development Award Program, and by grant P30AG021342 from the Yale Claude D. Pepper Older Americans Independence Center. Drs Ross and Horwitz are supported by grant R01HS022882 from the Agency for Healthcare Research and Quality. Dr Desai is supported by grant K12HS023000 from the Agency for Healthcare Research and Quality.
          Role of the Funder/Sponsor: The funding sponsors had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
          Disclaimer: The content of this article is solely the responsibility of the authors and does not represent the official views of the sponsors.
          Meeting Presentation: This article was presented in part at the Quality of Care and Outcomes Research 2017 Scientific Sessions of the American Heart Association; April 2, 2017; Arlington, Virginia.
          Article
          PMC5817448 PMC5817448 5817448 joi170073
          10.1001/jama.2017.8444
          5817448
          28719692
          d8b8daea-fb80-4c41-8762-2fa391c41835
          Copyright 2017 American Medical Association. All Rights Reserved.
          History
          : 9 March 2017
          : 14 June 2017
          : 20 June 2017
          Funding
          Funded by: National Institute on Aging
          Funded by: American Federation for Aging Research
          Funded by: Yale Claude D. Pepper Older Americans Independence Center
          Funded by: Agency for Healthcare Research and Quality
          Funded by: Agency for Healthcare Research and Quality
          Categories
          Research
          Research
          Original Investigation

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