Advancing Value-Based Models for Heart Failure A Call to Action From the Value in Healthcare Initiative's Value-Based Models Learning Collaborative

被引:32
|
作者
Maddox, Karen Joynt [2 ,3 ]
Bleser, William K. [1 ,4 ]
Crook, Hannah L. [1 ,4 ]
Nelson, Adam J. [5 ]
Lopez, Marianne Hamilton [1 ,4 ]
Saunders, Robert S. [1 ,4 ]
McClellan, Mark B. [1 ,4 ]
Brown, Nancy [6 ]
机构
[1] Duke Univ, Ctr Hlth Policy, Washington, DC 20052 USA
[2] Washington Univ, Sch Med, Div Cardiovasc, John T Milliken Dept Internal Med, St Louis, MO 63110 USA
[3] Washington Univ, Ctr Hlth Econ & Policy, Inst Publ Hlth, St Louis, MO 63110 USA
[4] Duke Univ, Ctr Hlth Policy, Durham, NC USA
[5] Duke Univ, Duke Clin Res Inst, Durham, NC USA
[6] Amer Heart Assoc, Dallas, TX USA
来源
关键词
chronic disease; disease progression; heart failure; hospitalization; population; PAYMENT REFORM; QUALITY; ORGANIZATIONS; MANAGEMENT; DELIVERY; IMPACT; POLICY;
D O I
10.1161/CIRCOUTCOMES.120.006483
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Heart failure (HF) is a leading cause of hospitalizations and readmissions in the United States. Particularly among the elderly, its prevalence and costs continue to rise, making it a significant population health issue. Despite tremendous progress in improving HF care and examples of innovation in care redesign, the quality of HF care varies greatly across the country. One major challenge underpinning these issues is the current payment system, which is largely based on fee-for-service reimbursement, leads to uncoordinated, fragmented, and low-quality HF care. While the payment landscape is changing, with an increasing proportion of all healthcare dollars flowing through value-based payment models, no longitudinal models currently focus on chronic HF care. Episode-based payment models for HF hospitalization have yielded limited success and have little ability to prevent early chronic disease from progressing to later stages. The available literature suggests that primary care-based longitudinal payment models have indirectly improved HF care quality and cardiovascular care costs, but these models are not focused on addressing patients' longitudinal chronic disease needs. This article describes the efforts and vision of the multi-stakeholder Value-Based Models Learning Collaborative of The Value in Healthcare Initiative, a collaboration of the American Heart Association and the Robert J. Margolis, MD, Center for Health Policy at Duke University. The Learning Collaborative developed a framework for a HF value-based payment model with a longitudinal focus on disease management (to reduce adverse clinical outcomes and disease progression among patients with stage C HF) and prevention (an optional track to prevent high-risk stage B pre-HF from progressing to stage C). The model is designed to be compatible with prevalent payment models and reforms being implemented today. Barriers to success and strategies for implementation to aid payers, regulators, clinicians, and others in developing a pilot are discussed.
引用
收藏
页码:248 / 260
页数:13
相关论文
共 50 条
  • [1] Advancing Value-Based Cardiovascular Care The American Heart Association Value in Healthcare Initiative
    McClellan, Mark B.
    Bleser, William K.
    Joynt Maddox, Karen E.
    [J]. CIRCULATION-CARDIOVASCULAR QUALITY AND OUTCOMES, 2020, 13 (05): : 199 - 202
  • [2] Streamlining and Reimagining Prior Authorization Under Value-Based Contracts: A Call to Action From the Value in Healthcare Initiative's Prior Authorization Learning Collaborative
    Psotka, Mitchell A.
    Singletary, Elizabeth A.
    Bleser, William K.
    Roiland, Rachel A.
    Hamilton Lopez, Marianne
    Saunders, Robert S.
    Wang, Tracy Y.
    McClellan, Mark B.
    Brown, Nancy
    [J]. CIRCULATION-CARDIOVASCULAR QUALITY AND OUTCOMES, 2020, 13 (07): : 474 - 484
  • [3] Value-based Healthcare: Can Generative Artificial Intelligence and Large Language Models be a Catalyst for Value-based Healthcare?
    Jayakumar, Prakash
    Nijhuis, Koen D. Oude
    Oosterhoff, Jacobien H. F.
    Bozic, Kevin J.
    [J]. CLINICAL ORTHOPAEDICS AND RELATED RESEARCH, 2023, 481 (10) : 1890 - 1894
  • [4] PINAULT'S VALUE-BASED INITIATIVE
    Volk, Gregory
    [J]. ART IN AMERICA, 2009, 97 (08): : 118 - 121
  • [5] Value-based Healthcare
    Bronshteyn, Yuriy S.
    [J]. ANESTHESIOLOGY, 2013, 119 (06) : 1490 - 1491
  • [6] Value-Based Healthcare
    Lowe, Grainne
    [J]. JNP-JOURNAL FOR NURSE PRACTITIONERS, 2018, 14 (03): : 210 - 210
  • [7] Value-Based Healthcare in Urology: A Collaborative Review
    Reitblat, Chanan
    Bain, Paul A.
    Porter, Michael E.
    Bernstein, David N.
    Feeley, Thomas W.
    Graefen, Markus
    Iyer, Santosh
    Resnick, Matthew J.
    Stimson, C. J.
    Quoc-Dien Trinh
    Gershman, Boris
    [J]. EUROPEAN UROLOGY, 2021, 79 (05) : 571 - 585
  • [8] Letter to the Editor: Value-based Healthcare: Can Generative Artificial Intelligence and Large Language Models be a Catalyst for Value-based Healthcare?
    Porter, Matt A.
    [J]. CLINICAL ORTHOPAEDICS AND RELATED RESEARCH, 2024, 482 (05) : 901 - 904
  • [9] Value-based healthcare delivery models in oncology: A systematic review
    Aviki, Emeline
    Schleicher, Stephen Matthew
    Mullangi, Samyukta
    Matsoukas, Konstantina
    Korenstein, Deborah
    [J]. JOURNAL OF CLINICAL ONCOLOGY, 2018, 36 (15)
  • [10] Reply to the Letter to the Editor: Value-based Healthcare: Can Generative Artificial Intelligence and Large Language Models be a Catalyst for Value-based Healthcare?
    Jayakumar, Prakash
    [J]. CLINICAL ORTHOPAEDICS AND RELATED RESEARCH, 2024, 482 (05) : 905 - 906