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The introduction of Mission: Lifeline significantly increased timely access to percutaneous coronary intervention for patients with ST-segment-elevation myocardial infarction (STEMI). In the years since, morbidity and mortality rates have declined, and research has led to significant developments that have broadened our concept of the STEMI system of care. However, significant barriers and opportunities remain. From community education to 9-1-1 activation and emergency medical services triage and from emergency department and interfacility transfer protocols to postacute care, each critical juncture presents unique challenges for the optimal care of patients with STEMI. This policy statement sets forth recommendations for how the ideal STEMI system of care should be designed and implemented to ensure that patients with STEMI receive the best evidence-based care at each stage in their illness.

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Stroke is one of the leading causes of morbidity and mortality in the United States. While age-adjusted stroke mortality was falling, it has leveled off in recent years due in part to advances in medical technology, health care options, and population health interventions. In addition to adverse trends in stroke-related morbidity and mortality across the broader population, there are sociodemographic inequities in stroke risk. These challenges can be addressed by focusing on predicting and preventing modifiable upstream risk factors associated with stroke, but there is a need to develop a practical framework that health care organizations can use to accomplish this task across diverse settings. Accordingly, this article describes the efforts and vision of the multi-stakeholder Predict & Prevent 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. This article presents a framework of a potential upstream stroke prevention program with evidence-based implementation strategies for predicting, preventing, and managing stroke risk factors. It is meant to complement existing primary stroke prevention guidelines by identifying frontier strategies that can address gaps in knowledge or implementation. After considering a variety of upstream medical or behavioral risk factors, the group identified 2 risk factors with substantial direct links to stroke for focusing the framework: hypertension and atrial fibrillation. This article also highlights barriers to implementing program components into clinical practice and presents implementation strategies to overcome those barriers. A particular focus was identifying those strategies that could be implemented across many settings, especially lower-resource practices and community-based enterprises representing broad social, economic, and geographic diversity. The practical framework is designed to provide clinicians and health systems with effective upstream stroke prevention strategies that encourage scalability while allowing customization for their local context.

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The healthcare system is undergoing a transition from paying for volume to paying for value. Clinicians, as well as public and private payers, are beginning to implement alternative delivery and payment models, such as the patient-centered medical home, accountable care organizations, and bundled payment arrangements. Implementation of these new models will necessitate delivery system transformation and will actively involve all fields of medical care, in particular medicine and surgery. This call to action, on behalf of the American Heart Association's Expert Panel on Payment and Delivery System Reform, serves to offer support and direction for further involvement by the American Heart Association. In doing so, it (1) provides baseline review and definition of the present models and some of the early results of these delivery models, including outcomes; (2) initiates a conversation within the American Heart Association on the impact of payment and delivery system reform, as well as how the American Heart Association should engage in the interest of patients; (3) issues a call to action to our organization and to cardiovascular and stroke health professionals across the country to become educated about these models so to as to understand their impact on patient care; and (4) asks the government and other funding agencies, including the American Heart Association, to begin supporting and prioritizing meaningful research endeavors to further evaluate these models.

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BACKGROUND: A 1.5-day interactive forum was convened to discuss critical issues in the acquisition, analysis, and sharing of data in the field of cardiovascular and stroke science. The discussion will serve as the foundation for the American Heart Association's (AHA's) near-term and future strategies in the Big Data area. The concepts evolving from this forum may also inform other fields of medicine and science. METHODS AND RESULTS: A total of 47 participants representing stakeholders from 7 domains (patients, basic scientists, clinical investigators, population researchers, clinicians and healthcare system administrators, industry, and regulatory authorities) participated in the conference. Presentation topics included updates on data as viewed from conventional medical and nonmedical sources, building and using Big Data repositories, articulation of the goals of data sharing, and principles of responsible data sharing. Facilitated breakout sessions were conducted to examine what each of the 7 stakeholder domains wants from Big Data under ideal circumstances and the possible roles that the AHA might play in meeting their needs. Important areas that are high priorities for further study regarding Big Data include a description of the methodology of how to acquire and analyze findings, validation of the veracity of discoveries from such research, and integration into investigative and clinical care aspects of future cardiovascular and stroke medicine. Potential roles that the AHA might consider include facilitating a standards discussion (eg, tools, methodology, and appropriate data use), providing education (eg, healthcare providers, patients, investigators), and helping build an interoperable digital ecosystem in cardiovascular and stroke science. CONCLUSION: There was a consensus across stakeholder domains that Big Data holds great promise for revolutionizing the way cardiovascular and stroke research is conducted and clinical care is delivered; however, there is a clear need for the creation of a vision of how to use it to achieve the desired goals. Potential roles for the AHA center around facilitating a discussion of standards, providing education, and helping establish a cardiovascular digital ecosystem. This ecosystem should be interoperable and needs to interface with the rapidly growing digital object environment of the modern-day healthcare system.

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BACKGROUND: Million Hearts is a national initiative to prevent 1 million heart attacks and strokes over 5 years. The degree to which outpatient providers are controlling risk factors has not been fully described. METHODS: We examined adherence to the Million Hearts clinical quality measures using The Guideline Advantage, a nationwide quality improvement program for outpatient care. Specifically, we determined the proportion of patients with (1) ischemic vascular disease who were prescribed an antiplatelet drug; (2) hypertension whose blood pressure was controlled; (3) diabetes mellitus whose most recent low-density lipoprotein cholesterol level was <100 mg/dL; and 4) a tobacco use screening and who received a smoking cessation intervention as needed. RESULTS: From January 1, 2010, to March 31, 2012, there were 147,038 patients enrolled from 25 US practices. At the practice level, antiplatelet prescription ranged from 50.0% to 82.3% (median 71.9%, interquartile range [IQR] 66.7-82.1), hypertension control ranged from 48.6% to 75.3% (median 66.6%, IQR 60.1-70.9), hyperlipidemia control among patients with diabetes mellitus ranged from 53.3% to 100.0% (median 75.8%, IQR 65.8-83.0), and tobacco use screening and intervention ranged from 31.0% to 98.8% (median 79.8%, IQR 72.0-83.2). Black and people of color races were associated with a lower likelihood of blood pressure control and cholesterol control. Female gender was associated with a lower likelihood of antiplatelet prescription and cholesterol control. CONCLUSIONS: Compliance with quality measures for the Million Hearts initiative varies widely and is notable for racial and gender disparities. Our findings identify multiple opportunities to improve the quality of cardiovascular prevention.

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Out-of-hospital cardiac arrest continues to be an important public health problem, with large and important regional variations in outcomes. Survival rates vary widely among patients treated with out-of-hospital cardiac arrest by emergency medical services and among patients transported to the hospital after return of spontaneous circulation. Most regions lack a well-coordinated approach to post-cardiac arrest care. Effective hospital-based interventions for out-of-hospital cardiac arrest exist but are used infrequently. Barriers to implementation of these interventions include lack of knowledge, experience, personnel, resources, and infrastructure. A well-defined relationship between an increased volume of patients or procedures and better outcomes among individual providers and hospitals has been observed for several other clinical disorders. Regional systems of care have improved provider experience and patient outcomes for those with ST-elevation myocardial infarction and life-threatening traumatic injury. This statement describes the rationale for regional systems of care for patients resuscitated from cardiac arrest and the preliminary recommended elements of such systems. Many more people could potentially survive out-of-hospital cardiac arrest if regional systems of cardiac resuscitation were established. A national process is necessary to develop and implement evidence-based guidelines for such systems that must include standards for the categorization, verification, and designation of components of such systems. The time to do so is now.

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The assessment of medical practice is evolving rapidly in the United States. An initial focus on structure and process performance measures assessing the quality of medical care is now being supplemented with efficiency measures to quantify the "value" of healthcare delivery. This statement, building on prior work that articulated standards for publicly reported outcomes measures, identifies preferred attributes for measures used to assess efficiency in the allocation of healthcare resources. The attributes identified in this document combined with the previously published standards are intended to serve as criteria for assessing the suitability of efficiency measures for public reporting. This statement identifies the following attributes to be considered for publicly reported efficiency measures: integration of the quality and cost; valid cost measurement and analysis; minimal incentive to provide poor quality care; and proper attribution of the measure. The attributes described in this statement are relevant to a wide range of efforts to profile the efficiency of various healthcare providers, including hospitals, healthcare systems, managed-care organizations, physicians, group practices, and others that deliver coordinated care.

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The assessment of medical practice is evolving rapidly in the United States. An initial focus on structure and process performance measures assessing the quality of medical care is now being supplemented with efficiency measures to quantify the "value" of healthcare delivery. This statement, building on prior work that articulated standards for publicly reported outcomes measures, identifies preferred attributes for measures used to assess efficiency in the allocation of healthcare resources. The attributes identified in this document combined with the previously published standards are intended to serve as criteria for assessing the suitability of efficiency measures for public reporting. This statement identifies the following attributes to be considered for publicly reported efficiency measures: integration of the quality and cost; valid cost measurement and analysis; minimal incentive to provide poor quality care; and proper attribution of the measure. The attributes described in this statement are relevant to a wide range of efforts to profile the efficiency of various healthcare providers, including hospitals, healthcare systems, managed-care organizations, physicians, group practices, and others that deliver coordinated care.

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BACKGROUND: The speed of reperfusion (door-to-balloon [D2B] time) is a well established performance metric for patients with ST-elevation myocardial infarction. Although preferably D2B times should be or=65 years, 27% female, and 17% nonwhite). The overall median D2B time was 96 minutes (interquartile range [IQR] 69-140 minutes). Only 44.8% of cases had D2B or=65 years (103 [IQR 74-153] vs 93 [IQR 67-133] minutes), women (103 [IQR 73-154] vs 94 [IQR 68-135] minutes), and minorities (108 [IQR 77-162] vs 95 [IQR 68-136] minutes) had significantly longer median D2B times. These subgroup disparities in the D2B persisted over the study period as compared with their peers. CONCLUSION: The median D2B times with primary PCI have improved modestly in hospitals participating in the American Heart Association Get With the Guidelines program over the last few years but remain below ideal levels. The D2B times are particularly delayed in the elderly people, women, and minority populations; an issue that has persisted over time. These results highlight the ongoing need for national myocardial infarction quality improvement initiatives.

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Payment-for-quality programs are emerging in the wake of rising healthcare costs and a demonstrated need for quality improvement in healthcare delivery in the United States. These programs, also known as "pay-for-performance" or "pay-for-value" programs, attempt to realign financial incentives with the quality of care delivered. The American Heart Association's Reimbursement, Coverage, and Access Policy Development Workgroup provides in this statement a set of principles and recommendations for the development, implementation, and evaluation of these programs. The statement also suggests future areas for research around the realignment of financial incentives to improve both the quality of care delivered and patient outcomes.

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