Literature DB >> 30985863

Association of Stratification by Dual Enrollment Status With Financial Penalties in the Hospital Readmissions Reduction Program.

Karen E Joynt Maddox1, Mat Reidhead2, Andrew C Qi1, David R Nerenz3.   

Abstract

Importance: Beginning in fiscal year 2019, Medicare's Hospital Readmissions Reduction Program (HRRP) stratifies hospitals into 5 peer groups based on the proportion of each hospital's patient population that is dually enrolled in Medicare and Medicaid. The effect of this policy change is largely unknown. Objective: To identify hospital and state characteristics associated with changes in HRRP-related performance and penalties after stratification. Design, Setting, and Participants: A cross-sectional analysis was performed of all 3049 hospitals participating in the HRRP in fiscal years 2018 and 2019, using publicly available data on hospital penalties, merged with information on hospital characteristics and state Medicaid eligibility cutoffs. Exposures: The HRRP, under the 2018 traditional method and the 2019 stratification method. Main Outcomes and Measures: Performance on readmissions, as measured by the excess readmissions ratio, and penalties under the HRRP both in relative percentage change and in absolute dollars.
Results: The study sample included 3049 hospitals. The mean proportion of dually enrolled beneficiaries ranged from 9.5% in the lowest quintile to 44.7% in the highest quintile. At the hospital level, changes in penalties ranged from an increase of $225 000 to a decrease of more than $436 000 after stratification. In total, hospitals in the lowest quintile of dual enrollment saw an increase of $12 330 157 in penalties, while those in the highest quintile of dual enrollment saw a decrease of $22 445 644. Teaching hospitals (odds ratio [OR], 2.13; 95% CI, 1.76-2.57; P < .001) and large hospitals (OR, 1.51; 95% CI, 1.22-1.86; P < .001) had higher odds of receiving a reduced penalty. Not-for-profit hospitals (OR, 0.64; 95% CI, 0.52-0.80; P < .001) were less likely to have a penalty reduction than for-profit hospitals, and hospitals in the Midwest (OR, 0.44; 95% CI, 0.34-0.57; P < .001) and South (OR, 0.42; 95% CI, 0.30-0.57; P < .001) were less likely to do so than hospitals in the Northeast. Hospitals with patients from the most disadvantaged neighborhoods (OR, 2.62; 95% CI, 2.03-3.38; P < .001) and those with the highest proportion of beneficiaries with disabilities (OR, 3.12; 95% CI, 2.50-3.90; P < .001) were markedly more likely to see a reduction in penalties, as were hospitals in states with the highest Medicaid eligibility cutoffs (OR, 1.79; 95% CI, 1.50-2.14; P < .001). Conclusions and Relevance: Stratification of the hospitals under the HRRP was associated with a significant shift in penalties for excess readmissions. Policymakers should monitor the association of this change with readmission rates as well as hospital financial performance as the policy is fully implemented.

Entities:  

Mesh:

Year:  2019        PMID: 30985863      PMCID: PMC6547154          DOI: 10.1001/jamainternmed.2019.0117

Source DB:  PubMed          Journal:  JAMA Intern Med        ISSN: 2168-6106            Impact factor:   21.873


  17 in total

1.  California safety-net hospitals likely to be penalized by ACA value, readmission, and meaningful-use programs.

Authors:  Matlin Gilman; E Kathleen Adams; Jason M Hockenberry; Ira B Wilson; Arnold S Milstein; Edmund R Becker
Journal:  Health Aff (Millwood)       Date:  2014-08       Impact factor: 6.301

2.  Making Neighborhood-Disadvantage Metrics Accessible - The Neighborhood Atlas.

Authors:  Amy J H Kind; William R Buckingham
Journal:  N Engl J Med       Date:  2018-06-28       Impact factor: 91.245

3.  Neighborhood socioeconomic disadvantage and 30-day rehospitalization: a retrospective cohort study.

Authors:  Amy J H Kind; Steve Jencks; Jane Brock; Menggang Yu; Christie Bartels; William Ehlenbach; Caprice Greenberg; Maureen Smith
Journal:  Ann Intern Med       Date:  2014-12-02       Impact factor: 25.391

4.  Socioeconomic status and readmissions: evidence from an urban teaching hospital.

Authors:  Jianhui Hu; Meredith D Gonsahn; David R Nerenz
Journal:  Health Aff (Millwood)       Date:  2014-05       Impact factor: 6.301

5.  Adding socioeconomic data to hospital readmissions calculations may produce more useful results.

Authors:  Elna M Nagasako; Mat Reidhead; Brian Waterman; W Claiborne Dunagan
Journal:  Health Aff (Millwood)       Date:  2014-05       Impact factor: 6.301

6.  Area Deprivation Index Predicts Readmission Risk at an Urban Teaching Hospital.

Authors:  Jianhui Hu; Amy J H Kind; David Nerenz
Journal:  Am J Med Qual       Date:  2018-01-22       Impact factor: 1.852

7.  Who has higher readmission rates for heart failure, and why? Implications for efforts to improve care using financial incentives.

Authors:  Karen E Joynt; Ashish K Jha
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2010-12-14

8.  Thirty-day readmission rates for Medicare beneficiaries by race and site of care.

Authors:  Karen E Joynt; E John Orav; Ashish K Jha
Journal:  JAMA       Date:  2011-02-16       Impact factor: 56.272

9.  Accounting For Patients' Socioeconomic Status Does Not Change Hospital Readmission Rates.

Authors:  Susannah M Bernheim; Craig S Parzynski; Leora Horwitz; Zhenqiu Lin; Michael J Araas; Joseph S Ross; Elizabeth E Drye; Lisa G Suter; Sharon-Lise T Normand; Harlan M Krumholz
Journal:  Health Aff (Millwood)       Date:  2016-08-01       Impact factor: 6.301

10.  The Financial Effect of Value-Based Purchasing and the Hospital Readmissions Reduction Program on Safety-Net Hospitals in 2014: A Cohort Study.

Authors:  Matlin Gilman; Jason M Hockenberry; E Kathleen Adams; Arnold S Milstein; Ira B Wilson; Edmund R Becker
Journal:  Ann Intern Med       Date:  2015-09-15       Impact factor: 25.391

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  19 in total

1.  Relative Effects of the Hospital Readmissions Reduction Program on Hospitals That Serve Poorer Patients.

Authors:  Jason H Wasfy; Vijeta Bhambhani; Emma W Healy; Christine Choirat; Francesca Dominici; Rishi K Wadhera; Changyu Shen; Yun Wang; Robert W Yeh
Journal:  Med Care       Date:  2019-12       Impact factor: 2.983

2.  Local Supply Of Postdischarge Care Options Tied To Hospital Readmission Rates.

Authors:  Kevin N Griffith; David A Schwartzman; Steven D Pizer; Jacob Bor; Vijaya B Kolachalama; Brian Jack; Melissa M Garrido
Journal:  Health Aff (Millwood)       Date:  2022-07       Impact factor: 9.048

Review 3.  Society of General Internal Medicine Position Statement on Social Risk and Equity in Medicare's Mandatory Value-Based Payment Programs.

Authors:  Anders Chen; Arnab Ghosh; Kendrick B Gwynn; Celeste Newby; Tracey L Henry; Jackson Pearce; Marshall Fleurant; Stacie Schmidt; Jennifer Bracey; Elizabeth A Jacobs
Journal:  J Gen Intern Med       Date:  2022-06-29       Impact factor: 6.473

4.  Social Risk Adjustment In The Hospital Readmissions Reduction Program: A Systematic Review And Implications For Policy.

Authors:  Teresa L Rogstad; Shweta Gupta; John Connolly; William H Shrank; Eric T Roberts
Journal:  Health Aff (Millwood)       Date:  2022-09       Impact factor: 9.048

5.  Risk adjusting for Medicaid participation in Medicare Advantage.

Authors:  Laura M Keohane; David G Stevenson; Lucas Stewart; Sunita Thapa; Salama Freed; Melinda B Buntin
Journal:  Am J Manag Care       Date:  2020-08-01       Impact factor: 2.229

6.  Evaluation of Hospital Performance Using the Excess Days in Acute Care Measure in the Hospital Readmissions Reduction Program.

Authors:  Rishi K Wadhera; Karen E Joynt Maddox; Nihar R Desai; Bruce E Landon; Muthiah Vaduganathan Md; Lauren G Gilstrap; Changyu Shen; Robert W Yeh
Journal:  Ann Intern Med       Date:  2020-10-13       Impact factor: 25.391

7.  Readmission Rates for Chronic Obstructive Pulmonary Disease Under the Hospital Readmissions Reduction Program: an Interrupted Time Series Analysis.

Authors:  Russell G Buhr; Nicholas J Jackson; Gerald F Kominski; Steven M Dubinett; Carol M Mangione; Michael K Ong
Journal:  J Gen Intern Med       Date:  2020-06-17       Impact factor: 5.128

Review 8.  Preventing COPD Readmissions Under the Hospital Readmissions Reduction Program: How Far Have We Come?

Authors:  Valerie G Press; Laura C Myers; Laura C Feemster
Journal:  Chest       Date:  2020-10-14       Impact factor: 9.410

9.  Complex Transitions from Skilled Nursing Facility to Home: Patient and Caregiver Perspectives.

Authors:  Jennifer L Carnahan; Lev Inger; Susan M Rawl; Tochukwu C Iloabuchi; Daniel O Clark; Christopher M Callahan; Alexia M Torke
Journal:  J Gen Intern Med       Date:  2020-11-02       Impact factor: 5.128

10.  Evaluating the impact of social deprivation on Press Ganey® Outpatient Medical Practice Survey Scores.

Authors:  Andrew R Stephens; Jared W Potter; Andrew R Tyser; Nikolas H Kazmers
Journal:  Health Qual Life Outcomes       Date:  2021-06-19       Impact factor: 3.186

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