Patient-physician relationships are an important factor in patients taking a more active role in their health and health care. Efforts to increase activation that focus only on individual patients ignore the important fact that the nature of roles and relationships between provider and patient can shape the behaviors and attitudes of patients in ways that support or discourage patient activation.

Although the federal government's Meaningful Use electronic health record (EHR) implementation program resulted in some successes, there have been many challenges. The purpose of this study was to obtain detailed empirical data to better understand physicians' and nurses' experiences with EHRs. We conducted in-depth interviews with 30 physicians and nurses from two large health systems that were focused on attaining Stage 3 Meaningful Use criteria. Thematic framework analysis identified themes related to perceived benefits and challenges with EHR use. Participants appreciated benefits such as real-time patient data and easier access to information. Challenges included lack of interoperability across units, and this seemed to underlie many other noted challenges such as increased workload, insufficient training, and the perceived need for workarounds. Two key findings included mixed messages about trust in the EHR's information and its interference with interpersonal relationships. Results suggest that conservation of resources theory may be a useful strategy for understanding behaviors that enhance or undermine effective EHR use. Implications for policy and practice are discussed.

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Patient activation is an important predictor of health outcomes and health care usage, yet we do not know how enduring the benefits of greater patient activation are. This study uses a large panel survey of people with chronic conditions (n = 4,865) to examine whether a baseline patient activation measure predicts outcomes 4 years later, and whether changes in patient activation measure scores are associated with changes in outcomes. The findings indicate that the benefits of health activation are enduring, yielding benefits in the form of better self-management, improved functioning, and lower use of costly health care services over time. Furthermore, the findings indicate that when activation levels change, many outcomes change in the same direction. Patient activation seems to be an important and modifiable factor for influencing chronic disease outcomes; health care delivery systems can use this information to personalize and improve care.

Context: Policymakers and practitioners continue to pursue initiatives designed to engage individuals in their health and health care despite discordant views and mixed evidence regarding the ability to cultivate greater individual engagement that improves Americans' health and well-being and helps manage health care costs. There is limited and mixed evidence regarding the value of different interventions.Methods: Based on our involvement in evaluating various community-based consumer engagement initiatives and a targeted literature review of models of behavior change, we identified the need for a framework to classify the universe of consumer engagement initiatives toward advancing policymakers' and practitioners' knowledge of their value and fit in various contexts. We developed a framework that expanded our conceptualization of consumer engagement, building on elements of two common models, the individually focused transtheoretical model of behavior and the broader, multilevel social ecological model. Finally, we applied this framework to one community's existing consumer engagement program.Findings: Consumer engagement in health and health care refers to the performance of specific behaviors ("engaged behaviors") and/or an individual's capacity and motivation to perform these behaviors ("activation"). These two dimensions are related but distinct and thus should be differentiated. The framework creates four classification schemas, by (1) targeted behavior types (self-management, health care encounter, shopping, and health behaviors) and by (2) individual, (3) group, and (4) community dimensions. Our example illustrates that the framework can systematically classify a variety of consumer engagement programs, and that this exercise and resulting characterization can provide a structured way to consider the program and how its components fit program goals both individually and collectively. Conclusions:Applying the framework could help advance the field by making policymakers and practitioners aware of the wide range of approaches, providing a structured way to organize and characterize interventions retrospectively, and helping them consider how they can meet the program's goals both individually and collectively.

Recent national policies use risk-standardized readmission rates to measure hospital performance on the theory that readmissions reflect dimensions of the quality of patient care that are influenced by hospitals. In this article our objective was to assess readmission rates as a hospital quality measure. First we compared quartile rankings of hospitals based on readmission rates in 2009 and 2011 to see whether hospitals maintained their relative performance or whether shifts occurred that suggested either changes in quality or random variation. Next we examined the relationship between readmission rates and several commonly used hospital quality indicators, including risk-standardized mortality rates, volume, teaching status, and process-measure performance. We found that quartile rankings fluctuated and that readmission rates for lower-performing hospitals in 2009 tended to improve by 2011, while readmission rates for higher-performing hospitals tended to worsen. Regression to the mean (a form of statistical noise) accounted for a portion of the changes in hospital performance. We also found that readmission rates were higher in teaching hospitals and were weakly correlated with the other indicators of hospital quality. Policy makers should consider augmenting the use of readmission rates with other measures of hospital performance during care transitions and should build on current efforts that take a communitywide approach to the readmissions issue.

Efforts are under way nationally to reduce avoidable hospital readmissions by changing payments to hospitals, but it is unclear how well or how quickly these policy changes will produce widespread reductions in hospital readmissions. To examine some of the challenges to implementing such approaches, the authors analyzed the early experiences of 3 statewide programs to reduce preventable readmissions that began in 2009. Based on interviews with program participants in 2011, the authors identified 3 key obstacles to progress: the difficulty of developing collaborative relationships across care settings, gaps in evidence for effective interventions, and deficits in quality improvement capabilities among some organizations. These findings underscore the uncertainty of success of current readmissions policies and suggest that immediate improvement in readmission rates through a change in reimbursement may be unlikely unless these other obstacles are addressed expeditiously. In particular, cultivation of productive collaboration across care settings will be critical because these kinds of relationships are not well established or naturally occurring in most communities. (Population Health Management 2013;16:255-260)

Despite relatively low levels of alliance-oriented change within participating organizations, alliances may still have the means to align the goal orientations of a diverse membership and foster change that may extend the reach of the alliance in the community.