Current trends in US population growth, age distribution, and disease dynamics foretell rises in the prevalence of chronic diseases and other chronic conditions. These trends include the rapidly growing population of older adults, the increasing life expectancy associated with advances in public health and clinical medicine, the persistently high prevalence of some risk factors, and the emerging high prevalence of multiple chronic conditions. Although preventing and mitigating the effect of chronic conditions requires sufficient measurement capacities, such measurement has been constrained by lack of consistency in definitions and diagnostic classification schemes and by heterogeneity in data systems and methods of data collection. We outline a conceptual model for improving understanding of and standardizing approaches to defining, identifying, and using information about chronic conditions in the United States. We illustrate this model’s operation by applying a standard classification scheme for chronic conditions to 5 national-level data systems.
The escalating problem of multiple chronic conditions (MCC) among Americans is now a major public health and medical challenge, associated with suboptimal health outcomes and rising health-care expenses. Despite this problem's growth, the delivery of health services has continued to employ outmoded "siloed" approaches that focus on individual chronic diseases. We describe an action-oriented framework--developed by the U.S. Department of Health and Human Services with additional input provided by stakeholder organizations--that outlines national strategies for maximizing care coordination and for improving health and quality of life for individuals with MCC. We note how the framework's potential can be optimized through some of the provisions of the new Patient Protection and Affordable Care Act, and through public-private partnerships.
Improving health outcomes relies on patients' full engagement in prevention, decision-making, and self-management activities. Health literacy, or people's ability to obtain, process, communicate, and understand basic health information and services, is essential to those actions. Yet relatively few Americans are proficient in understanding and acting on available health information. We propose a Health Literate Care Model that would weave health literacy strategies into the widely adopted Care Model (formerly known as the Chronic Care Model). Our model calls for first approaching all patients with the assumption that they are at risk of not understanding their health conditions or how to deal with them, and then subsequently confirming and ensuring patients' understanding. For health care organizations adopting our model, health literacy would then become an organizational value infused into all aspects of planning and operations, including self-management support, delivery system design, shared decision-making support, clinical information systems to track and plan patient care, and helping patients access community resources. We also propose a measurement framework to track the impact of the new Health Literate Care Model on patient outcomes and quality of care.
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