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:35
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
CIRCULATION-CARDIOVASCULAR QUALITY AND OUTCOMES | 2020年 / 13卷 / 05期
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 66 条
[1]  
2018 APM Measurement Effort, 2018, 2018 APM MEAS EFF HL
[2]   Sustained efficacy of pulmonary artery pressure to guide adjustment of chronic heart failure therapy: complete follow-up results from the CHAMPION randomised trial [J].
Abraham, William T. ;
Stevenson, Lynne W. ;
Bourge, Robert C. ;
Lindenfeld, Jo Ann ;
Bauman, Jordan G. ;
Adamson, Philip B. .
LANCET, 2016, 387 (10017) :453-461
[3]  
Accountable Care Learn. Collab, 2017, COLL ACC CAR ATL
[4]   The Impact Of Bundled Payment On Health Care Spending, Utilization, And Quality: A Systematic Review [J].
Agarwal, Rajender ;
Liao, Joshua M. ;
Gupta, Ashutosh ;
Navathe, Amol S. .
HEALTH AFFAIRS, 2020, 39 (01) :50-57
[5]  
American Heart Association, 2019, LAUNCH PIL PROGR RED
[6]  
American Heart Association, 2019, GET GUID HEART FAIL
[7]  
American Hospital Association, 2019, SCREEN SOC NEEDS GUI
[8]  
[Anonymous], 2019, ACO Investment Model
[9]  
[Anonymous], 2019, REPORT C MED PAYMENT
[10]  
[Anonymous], 2018, AM J ACCOUNTABLE CAR