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Racial-ethnic minorities receive lower quality and intensity of health care compared with whites across a wide range of preventive, diagnostic, and therapeutic services and disease entities. These disparities in health care contribute to continuing racial-ethnic disparities in the burden of illness and death. Several national medical organizations and the Institute of Medicine have issued position papers and recommendations for the elimination of health care disparities. However, physicians in practice are often at a loss for how to translate these principles and recommendations into specific interventions in their own clinical practices. This paper serves as a blueprint for translating principles for the elimination of racial-ethnic disparities in health care into specific actions that are relevant for individual clinical practices. We describe what is known about reducing racial-ethnic disparities in clinical practice and make recommendations for how clinician leaders can apply this evidence to transform their own practices. [ABSTRACT FROM AUTHOR]

Background: Patient complexity is often operationalized by counting multiple chronic conditions (MCC) without considering contextual factors that can affect patient risk for adverse outcomes.Objective: Our objective was to develop a conceptual model of complexity addressing gaps identified in a review of published conceptual models.Data Sources: We searched for English-language MEDLINE papers published between 1 January 2004 and 16 January 2014. Two reviewers independently evaluated abstracts and all authors contributed to the development of the conceptual model in an iterative process.Results: From 1606 identified abstracts, six conceptual models were selected. One additional model was identified through reference review. Each model had strengths, but several constructs were not fully considered: 1) contextual factors; 2) dynamics of complexity; 3) patients' preferences; 4) acute health shocks; and 5) resilience. Our Cycle of Complexity model illustrates relationships between acute shocks and medical events, healthcare access and utilization, workload and capacity, and patient preferences in the context of interpersonal, organizational, and community factors.Conclusions/implications: This model may inform studies on the etiology of and changes in complexity, the relationship between complexity and patient outcomes, and intervention development to improve modifiable elements of complex patients. [ABSTRACT FROM AUTHOR]

Patients' experience of stereotype threat in clinical settings and encounters may be one contributor to health care disparities. Stereotype threat occurs when cues in the environment make negative stereotypes associated with an individual's group status salient, triggering physiological and psychological processes that have detrimental consequences for behavior. By recognizing and understanding the factors that can trigger stereotype threat and understanding its consequences in medical settings, providers can prevent it from occurring or ameliorate its consequences for patient behavior and outcomes. In this paper, we discuss the implications of stereotype threat for medical education and trainee performance and offer practical suggestions for how future providers might reduce stereotype threat in their exam rooms and clinics. [ABSTRACT FROM AUTHOR]

Background: In a highly publicized joint report, the National Academy of Engineering and the Institute of Medicine recently recommended the systematic application of systems engineering approaches for reforming our health care delivery system. For this to happen, medical professionals and managers need to understand and appreciate the power that systems engineering concepts and tools can bring to redesigning and improving health care environments and practices.Objective: To present and discuss fundamental concepts and tools of systems engineering and important parallels between systems engineering, health services, and implementation research as it pertains to the care of complex patients.Design: An exploratory, qualitative review of systems engineering concepts and overview of ongoing applications of these concepts in the areas of hemodialysis, radiation therapy, and patient flow modeling.Results: In this paper, we describe systems engineering as the process of identifying the system of interest, choosing appropriate performance measures, selecting the best modeling tool, studying model properties and behavior under a variety of scenarios, and making design and operational decisions for implementation.Conclusions: We discuss challenges and opportunities for bringing people with systems engineering skills into health care. [ABSTRACT FROM AUTHOR]

While great strides have been made recently in improving end-of-life care in the United States, people with dementia often die with inadequate pain control, with feeding tubes in place, and without the benefits of hospice care. In this paper, we discuss the most important and persistent challenges to providing excellent end-of-life care for patients with dementia, including dementia not being viewed as a terminal illness; the nature of the course and treatment decisions in advanced dementia; assessment and management of symptoms; the caregiver experience and bereavement; and health systems issues. We suggest approaches for overcoming these barriers in the domains of education, clinical practice, and public policy. As the population ages, general internists increasingly will be called upon to provide primary care for a growing number of patients dying with dementia. There are great opportunities to improve end-of-life care for this vulnerable and underserved population. [ABSTRACT FROM AUTHOR]

The article discusses the study on problems posed by language barriers. The authors of this paper turn to a series of papers testing innovative solutions. A pair of interpreters in a hospital ward service has been embedded. A study also compares the use of interpreters to language concordant interactions.