Literature DB >> 28445559

Association of US Centers for Medicare and Medicaid Services Hospital 30-Day Risk-Standardized Readmission Metric With Care Quality and Outcomes After Acute Myocardial Infarction: Findings From the National Cardiovascular Data Registry/Acute Coronary Treatment and Intervention Outcomes Network Registry-Get With the Guidelines.

Ambarish Pandey1, Harsh Golwala2, Hurst M Hall1, Tracy Y Wang3, Di Lu3, Ying Xian4, Karen Chiswell3, Karen E Joynt2, Abhinav Goyal5, Sandeep R Das1, Dharam Kumbhani1, Howard Julien6, Gregg C Fonarow7, James A de Lemos1.   

Abstract

Importance: The US Centers for Medicare and Medicaid Services Hospital Readmissions Reduction Program penalizes hospitals with higher-than-expected risk-adjusted 30-day readmission rates (excess readmission ratio [ERR] > 1) after acute myocardial infarction (MI). However, the association of ERR with MI care processes and outcomes are not well established. Objective: To evaluate the association between ERR for MI with in-hospital process of care measures and 1-year clinical outcomes. Design, Setting, and Participants: Observational analysis of hospitalized patients with MI from National Cardiovascular Data Registry/Acute Coronary Treatment and Intervention Outcomes Network Registry-Get With the Guidelines centers subject to the first cycle of the Hospital Readmissions Reduction Program between July 1, 2008, and June 30, 2011. Exposures: The ERR for MI (MI-ERR) in 2011. Main Outcomes and Measures: Adherence to process of care measures during index hospitalization in the overall study population and risk of the composite outcome of mortality or all-cause readmission within 1 year of discharge and its individual components among participants with available Centers for Medicare and Medicaid Services-linked data.
Results: The median ages of patients in the MI-ERR greater than 1 and tertiles 1, 2, and 3 of the MI-ERR greater than 1 groups were 64, 63, 64, and 63 years, respectively. Among 380 hospitals that treated a total of 176 644 patients with MI during the study period, 43% had MI-ERR greater than 1. The proportions of patients of black race, those with heart failure signs at admission, and bleeding complications increased with higher MI-ERR. There was no significant association between adherence to MI performance measures and MI-ERR (adjusted odds ratio, 0.94; 95% CI, 0.81-1.08, per 0.1-unit increase in MI-ERR for overall defect-free care). Among the 51 453 patients with 1-year outcomes data available, higher MI-ERR was associated with higher adjusted risk of the composite outcome and all-cause readmission within 1 year of discharge. This association was largely driven by readmissions early after discharge and was not significant in landmark analyses beginning 30 days after discharge. The MI-ERR was not associated with risk for mortality within 1 year of discharge in the overall and 30-day landmark analyses. Conclusions and Relevance: During the first cycle of the Hospital Readmissions Reduction Program, participating hospitals' risk-adjusted 30-day readmission rates following MI were not associated with in-hospital quality of MI care or clinical outcomes occurring after the first 30 days after discharge.

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Year:  2017        PMID: 28445559      PMCID: PMC5815085          DOI: 10.1001/jamacardio.2017.1143

Source DB:  PubMed          Journal:  JAMA Cardiol            Impact factor:   14.676


  27 in total

1.  Thirty-day readmissions--truth and consequences.

Authors:  Karen E Joynt; Ashish K Jha
Journal:  N Engl J Med       Date:  2012-03-28       Impact factor: 91.245

2.  Are all readmissions bad readmissions?

Authors:  Eiran Z Gorodeski; Randall C Starling; Eugene H Blackstone
Journal:  N Engl J Med       Date:  2010-07-15       Impact factor: 91.245

Review 3.  A systematic review and meta-analysis on the association between quality of hospital care and readmission rates in patients with heart failure.

Authors:  Claudia Fischer; Ewout W Steyerberg; Gregg C Fonarow; Theodore G Ganiats; Hester F Lingsma
Journal:  Am Heart J       Date:  2015-07-18       Impact factor: 4.749

4.  Limits of readmission rates in measuring hospital quality suggest the need for added metrics.

Authors:  Matthew J Press; Dennis P Scanlon; Andrew M Ryan; Jingsan Zhu; Amol S Navathe; Jessica N Mittler; Kevin G Volpp
Journal:  Health Aff (Millwood)       Date:  2013-06       Impact factor: 6.301

5.  Rethinking Thirty-Day Hospital Readmissions: Shorter Intervals Might Be Better Indicators Of Quality Of Care.

Authors:  David L Chin; Heejung Bang; Raj N Manickam; Patrick S Romano
Journal:  Health Aff (Millwood)       Date:  2016-10-01       Impact factor: 6.301

6.  Hospital quality for acute myocardial infarction: correlation among process measures and relationship with short-term mortality.

Authors:  Elizabeth H Bradley; Jeph Herrin; Brian Elbel; Robert L McNamara; David J Magid; Brahmajee K Nallamothu; Yongfei Wang; Sharon-Lise T Normand; John A Spertus; Harlan M Krumholz
Journal:  JAMA       Date:  2006-07-05       Impact factor: 56.272

7.  Association of 30-Day Readmission Metric for Heart Failure Under the Hospital Readmissions Reduction Program With Quality of Care and Outcomes.

Authors:  Ambarish Pandey; Harsh Golwala; Haolin Xu; Adam D DeVore; Roland Matsouaka; Michael Pencina; Dharam J Kumbhani; Adrian F Hernandez; Deepak L Bhatt; Paul A Heidenreich; Clyde W Yancy; James A de Lemos; Gregg C Fonarow
Journal:  JACC Heart Fail       Date:  2016-12       Impact factor: 12.035

8.  Comparison of performance on Hospital Compare process measures and patient outcomes between hospitals that do and do not participate in Acute Coronary Treatment and Intervention Outcomes Network Registry-Get With The Guidelines.

Authors:  Robin Mathews; Gregg C Fonarow; Shuang Li; Eric D Peterson; John S Rumsfeld; Paul A Heidenreich; Matthew T Roe; William J Oetgen; James G Jollis; Christopher P Cannon; James A de Lemos; Tracy Y Wang
Journal:  Am Heart J       Date:  2016-01-22       Impact factor: 4.749

9.  Association of Patient Enrollment in Medicare Part D With Outcomes After Acute Myocardial Infarction.

Authors:  Abhinav Goyal; James A de Lemos; S Andrew Peng; Laine Thomas; Ezra A Amsterdam; Jason M Hockenberry; Eric D Peterson; Tracy Y Wang
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2015-10-27

10.  Socioeconomic disparities in the use of cardioprotective medications among patients with peripheral artery disease: an analysis of the American College of Cardiology's NCDR PINNACLE Registry.

Authors:  Sumeet Subherwal; Manesh R Patel; Fengming Tang; Kim G Smolderen; W Schuyler Jones; Thomas T Tsai; Henry H Ting; Deepak L Bhatt; John A Spertus; Paul S Chan
Journal:  J Am Coll Cardiol       Date:  2013-05-02       Impact factor: 24.094

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  13 in total

1.  Longitudinal trajectories of hospital performance across targeted cardiovascular conditions in the USA.

Authors:  Muthiah Vaduganathan; Cian P McCarthy; Colby Ayers; Deepak L Bhatt; Dharam J Kumbhani; James A de Lemos; Gregg C Fonarow; Ambarish Pandey
Journal:  Eur Heart J Qual Care Clin Outcomes       Date:  2020-01-01

Review 2.  Assessing Performance and Quality After Non-ST Segment Elevation Acute Coronary Syndromes.

Authors:  H Vernon Anderson; Robin Jacob
Journal:  Curr Cardiol Rep       Date:  2018-10-11       Impact factor: 2.931

3.  Association of Hospital Performance Based on 30-Day Risk-Standardized Mortality Rate With Long-term Survival After Heart Failure Hospitalization: An Analysis of the Get With The Guidelines-Heart Failure Registry.

Authors:  Ambarish Pandey; Kershaw V Patel; Li Liang; Adam D DeVore; Roland Matsouaka; Deepak L Bhatt; Clyde W Yancy; Adrian F Hernandez; Paul A Heidenreich; James A de Lemos; Gregg C Fonarow
Journal:  JAMA Cardiol       Date:  2018-06-01       Impact factor: 14.676

4.  Assessing the influence of patient language preference on 30 day hospital readmission risk from home health care: A retrospective analysis.

Authors:  Allison Squires; Chenjuan Ma; Sarah Miner; Penny Feldman; Elizabeth A Jacobs; Simon A Jones
Journal:  Int J Nurs Stud       Date:  2021-10-01       Impact factor: 6.612

Review 5.  Readmission After ACS: Burden, Epidemiology, and Mitigation.

Authors:  Peter K Boulos; John C Messenger; Stephen W Waldo
Journal:  Curr Cardiol Rep       Date:  2022-04-30       Impact factor: 3.955

6.  Type 2 Myocardial Infarction and the Hospital Readmission Reduction Program.

Authors:  Cian P McCarthy; Muthiah Vaduganathan; Avinainder Singh; Zirui Song; Ron Blankstein; Hanna K Gaggin; Jason H Wasfy; James L Januzzi
Journal:  J Am Coll Cardiol       Date:  2018-09-04       Impact factor: 24.094

7.  Evaluation of Risk-Adjusted Home Time After Acute Myocardial Infarction as a Novel Hospital-Level Performance Metric for Medicare Beneficiaries.

Authors:  Ambarish Pandey; Neil Keshvani; Mary S Vaughan-Sarrazin; Yubo Gao; Saket Girotra
Journal:  Circulation       Date:  2020-05-15       Impact factor: 39.918

8.  Association of the New Peer Group-Stratified Method With the Reclassification of Penalty Status in the Hospital Readmission Reduction Program.

Authors:  Cian P McCarthy; Muthiah Vaduganathan; Kershaw V Patel; Hussain S Lalani; Colby Ayers; Deepak L Bhatt; James L Januzzi; James A de Lemos; Clyde Yancy; Gregg C Fonarow; Ambarish Pandey
Journal:  JAMA Netw Open       Date:  2019-04-05

9.  Hospital revisits within 30 days after discharge for medical conditions targeted by the Hospital Readmissions Reduction Program in the United States: national retrospective analysis.

Authors:  Rishi K Wadhera; Karen E Joynt Maddox; Dhruv S Kazi; Changyu Shen; Robert W Yeh
Journal:  BMJ       Date:  2019-08-12

10.  Early Readmissions After ST-Segment-Elevation Myocardial Infarction: Glass Ceiling or Room for Improvement?

Authors:  Beau M Hawkins; Binita Shah
Journal:  J Am Heart Assoc       Date:  2018-09-18       Impact factor: 5.501

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