At the outset of this collaborative initiative in February 2015, the goal established by the participants—the Peterson Center on Healthcare, the National Academy of Medicine, the Harvard T.H. Chan School of Public Health (HSPH), the Bipartisan Policy Center (BPC), and The Commonwealth Fund—was to advance our understanding about how to better manage the health of high-need patients through the exploration of patient characteristics and groupings, of promising care models and attributes, and of policy solutions to spread and scale models of care. Since the launch of this project, the pace of change in the field—from the demonstration of new models of care for high-need patients to state and federal governments launching initiatives aimed at better coordinating care for this patient population—has created an encouraging new dynamic that offers promise for addressing the challenge of caring for high-need patients and reducing the outsized cost of providing that care.
The key themes and lessons from the workshops, the workgroups, and the committee as a whole are summarized below, along with areas of opportunity for various stakeholders. Given that high-need patients often face challenges in receiving adequate care, including a lack of care coordination within the health care system, and that caring for these individuals is currently a key driver of health care spending, a notable theme voiced throughout the discussions was the call for bold policy action and system and payment reform efforts. The comprehensive team-oriented services required are not currently available in most settings, yet the potential gains to health care systems are considerable. Over the past 2 years, a number of promising innovations in care delivery have emerged, but there are systemic barriers to replicating and sustaining the key practices. The research and activities of this partnership have shown how essential it is to create a policy and regulatory environment built around payment models that incentivize coordinated care and support the integration of clinical care and social services. In addition, health systems would benefit from a “taxonomy” to
segment high-need patients and match the appropriate interventions as well as from a set of key measures to support value-based payment.
The first important lessons from this initiative are that the high-need patient population is diverse, complex, expensive, and often transient, and the heterogeneity of this population suggests that a similar diversity of care models will be needed to address the range of problems these individuals experience. At the same time, there is a need to strike a balance between standardized and customized approaches to care. In that regard, segmenting patients can be a useful tool for targeting care, but there is need for more real-world testing and refinement of approaches for segmenting patients in conjunction with care models demonstrated to work with certain subpopulations of high-need patients.
Another key lesson from this initiative is that just improving medical care for high-need patients will not address all of the challenges they face, nor will it lower the cost of care. To be successful, as the examples cited in Chapter 4 and in Appendix A demonstrate, care models for high-need patients will often need to address the social risk and behavioral health factors that play an outsized role in the lives of these individuals. Going forward, care models, policies, and assessment tools need to address social services and behavioral health needs in addition to those services normally considered the purview of health care systems. The final overarching lesson is that to be actionable, policy solutions must account for existing constraints and complexities arising from the lack of integration of medical, social, and behavioral services and with the way the United States finances care models.
In addition to those overarching lessons, a number of important themes emerged from the presentations and discussions in the three workshops and deliberations among the committee members. These included:
The high-need patient population comprises a heterogeneous group of individuals that have a diverse array of conditions, making segmentation of this population into a finite number of subpopulations an important consideration when attempting to match patients with appropriate models of care. With a patient taxonomy and menu of evidence-based care models, health systems would be better equipped to plan for and deliver targeted care based on patient characteristics, needs, and challenges and to identify gaps in their ability to deliver care for specific subgroups within their patient populations. Models of
care for high-need patients must balance the need for standardized approaches for diverse populations with the need for personalization around individual patients’ conditions, needs, and characterization. In that regard, having too many segment groups becomes too complex and impractical for broad implementation, but having too few segments makes groupings less meaningful and undermines the objective to be able to target care effectively.
The purpose and utility of segmentation must guide the development of a taxonomy for high-need patients and reflect the fact that a taxonomy will be a dynamic and interactive tool and that a single individual can move between taxonomic segments as their health—and therefore their care needs—change over time. Starting a taxonomy from a medical perspective has limitations, but it is a feasible starting point for most health systems, given the availability of data. Additionally, functional status can be “baked in” to the various medical segments in a taxonomy, with social risk factors and behavioral health considerations spanning all clinical/functional segments.
Barriers around data collection and use, particularly among smaller clinics and providers who lack a sophisticated and interoperable health information technology infrastructure, limit the use of patient segmentation. There is a need to improve our understanding of the transient nature of the high-need patient population and how health systems need to account for it when developing care delivery models.
In the 2 years since the germination of this collaborative project, understanding and approaches to care delivery for high-need patients have evolved, with the demonstration that multiple care models can improve care. A successful care model is designed to respond to the goals and needs of patients, and an essential tool for standardizing and centering care around patient needs and goals—as well as for assessing patient needs across disease groups—is measuring functional status. Understanding patient needs and goals also requires better measurement of patient priorities, and meeting these goals will require flexible models of care.
Care coordination is critical for high-need patients, and improving care coordination will require the development of new workforce and training efforts. Such efforts are often costly, so special consideration should be given to potential care coordination approaches that help control costs. Additionally, improving care for high-need patients requires aligning the care system with social, economic, and behavioral programs and services, a task that will be difficult because of the fragmentation that exists in these fields.
While more research is needed to bolster the evidence base for care models and care model attributes that work for specific subpopulations of high-need patients, there is a broad consensus on universal attributes common to successful care models. There is broad agreement that the predominant location for delivering care for high-need patients should be in the home and community rather than in the hospital or nursing home whenever possible. Health systems can work with payers to better identify and target high-need patients and to test new practices, including the use of a taxonomy. A matching exercise demonstrated that individual care models can be targeted to specific groups based on characteristics and needs.
Current economic and payment models oriented to individual conditions lead to inefficiencies and deficiencies in care processes that have particular impact on high-need patients, who often have a diverse array of conditions. Moreover, care models for high-need patients incur high, ongoing costs, and the long-term financing of these models must be considered when identifying policy solutions. Payers can actively support the adoption of care models or specific elements of care models that research has shown are effective at improving care for high-need patients and/or reducing the cost of care. Policy makers and payers can continue progress toward a value-based system using alternative payment models, including those that work within fee-for-service structures, to support more effective care for high-need patients.
Policy solutions must engage all aspects of care delivery, such as providing mental health support for home health aides and family caregivers, as well as accounting for existing system constraints and complexities (e.g., integration of medical and social financing of care models). Although having supportive policies in place can enable models to spread and scale, many care models do not scale because specifics of the models are not considered, such as the adaptations away from ideal conceptualizations to meet the on-the-ground realities or interpersonal dynamics and the role of leadership in success. Areas where policy changes could accelerate their widespread adoption and sustainability include the programmatic integration of social supports; care delivery and workforce; payment policy; quality measurement; and data infrastructure.
Furthermore, policies need to consider both state and federal perspectives to be broadly adopted. Federal structures such as the Federal Coordinated Health Care Office—also known as the Medicare-Medicaid Coordination Office or Office of the Dual—can serve an important role in bridging many different health care and social services sectors and populations.
Quality measures have proliferated and are often burdensome; a reevaluation of which limited set of measures is necessary to determine quality in specific circumstances would greatly benefit program administrators, regulators, health systems, payers, and providers. Tying payment incentives to particular measures simply because they can be measured can give too much weight to the importance of those aspects of care compared to elements that are less easily quantified.
A goal of this initiative has been to identify a path forward to produce the bold actions needed to improve the lives of the nation’s 12 million high-need patients, and to reduce the unsustainably high cost of providing them with effective care and support (Hayes et al., 2016). Major stakeholders—health systems, payers, providers, patients and family or unpaid caregivers, researchers, and policy makers—have opportunities to address several key challenges to improving care for high-need patients. The following list highlights stakeholder opportunities discussed throughout the workshops:
In particular, action is needed by certain key stakeholders: health systems, payers, providers, patients and their care partners, researchers, and policy makers.
Common to the presentations and discussions among participants was the notion that improving the care management of high-need patients will require engagement and coordination of a broad range of stakeholders at multiple levels. While each stakeholder sector individually may impact a patient’s life, a community, or even a regional health delivery system, one of the most expensive and challenging populations for the current health care system will remain underserved until there is a unified effort—rather than small, incremental steps—to improve care for the nation’s high-need patients and to reduce the cost of delivering that care. It is important that different stakeholder groups convene to discuss opportunities for actions and improvement, using the potential activities identified here to guide discussion and action. The taxonomy to guide care team and care model design needs further discussion, refinement, testing, and validation, as do the implementation tactics and practices to determine elements of successful care models. Policies to accelerate the spread and scale of proven models, new workforce development initiatives, suitable quality measures, and expanded data infrastructure are all at the forefront of the national health care goals of balancing quality and associated costs. Sustained attention to these areas, too, is needed.
Hayes, S. L., C. A. Salzberg, D. McCarthy, D. C. Radley, M. K. Abrams, T. Shah, and G. F. Anderson. 2016. High-need, high-cost patients: Who are they and how do they use health care? New York: The Commonwealth Fund.
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