Palliative care is gaining acceptance across the world. However, even when palliative care resources exist, both the delivery and distribution of services too often are neither equitably nor acceptably provided to diverse population groups. The goal of this study was to illustrate tensions in the delivery of palliative care for diverse patient populations to help clinicians to improve care for all. We begin by defining and differentiating culture, race, and ethnicity, so that these terms-often used interchangeably-are not conflated and are more effectively used in caring for diverse populations. We then present examples from an integrative literature review of recent research on culture and palliative care to illustrate both how and why varied responses to pain and suffering occur in different patterns, focusing on four areas of palliative care: the formation of care preferences, communication patterns, different meanings of suffering, and decision-making processes about care. For each area, we provide international and multiethnic examples of variations that emphasize the need for personalization of care and the avoidance of stereotyping beliefs and practices without considering individual circumstances and life histories. We conclude with recommendations for improving palliative care research and practice with cultural perspectives, emphasizing the need to work in partnerships with patients, their family members, and communities to identify and negotiate culturally meaningful care, promote quality of life, and ensure the highest quality palliative care for all, both domestically and internationally.

Delivering diabetes care by home telemedicine increases young adults' adherence to ADA guidelines and usage of diabetes technologies, and improves retention in care when compared to controls. Home telemedicine may keep young adults engaged in their diabetes care during this challenging transition period.

The Veterans Health Administration (VHA) has undertaken primary care transformation based on patient-centered medical home (PCMH) tenets. VHA PCMH models are designed for the predominantly male Veteran population, and require tailoring to meet women Veterans' needs. We used evidence-based quality improvement (EBQI), a stakeholder-driven implementation strategy, in a cluster randomized controlled trial across 12 sites (eight EBQI, four control) that are members of a Practice-Based Research Network. EBQI involves engaging multilevel, inter-professional leaders and staff as stakeholders in reviewing evidence and setting QI priorities. The goal of this analysis was to examine processes of engaging stakeholders in early implementation of EBQI to tailor VHA's medical home for women. Four inter-professional regional stakeholder planning meetings were conducted; these meetings engaged stakeholders by providing regional data about gender disparities in Veterans' care experiences. Subsequent to each meeting, qualitative interviews were conducted with 87 key stakeholders (leaders and staff). Stakeholders were asked to describe QI efforts and the use of data to change aspects of care, including women's health care. Interview transcripts were summarized and coded using a hybrid deductive/inductive analytic approach. The presentation of regional-level data about gender disparities resulted in heightened awareness and stakeholder buy-in and decision-making related to women's health-focused QI. Interviews revealed that stakeholders were familiar with QI, with regional and facility leaders aware of inter-disciplinary committees and efforts to foster organizational change, including PCMH transformation. These efforts did not typically focus on women's health, though some informal efforts had been undertaken. Barriers to engaging in QI included lack of communication across clinical service lines, fluidity in staffing, and lack of protected time. Inter-professional, multilevel stakeholders need to be engaged in implementation early, with data and discussion that convey the importance and relevance of a new initiative. Stakeholder perspectives on institutional norms (e.g., gender norms) and readiness for population-specific QI are useful drivers of clinical initiatives designed to transform care for clinical subpopulations.

Background A growing literature has demonstrated the ability of user-centered design to make clinical decision support systems more effective and easier to use. However, studies of user-centered design have rarely examined more than a handful of sites at a time, and have frequently neglected the implementation climate and organizational resources that influence clinical decision support. The inclusion of such factors was identified by a systematic review as “the most important improvement that can be made in health IT evaluations.” Objectives (1) Identify the prevalence of four user-centered design practices at United States Veterans Affairs (VA) primary care clinics and assess the perceived utility of clinical decision support at those clinics; (2) Evaluate the association between those user-centered design practices and the perceived utility of clinical decision support. Methods We analyzed clinic-level survey data collected in 2006–2007 from 170 VA primary care clinics. We examined four user-centered design practices: 1) pilot testing, 2) provider satisfaction assessment, 3) formal usability assessment, and 4) analysis of impact on performance improvement. We used a regression model to evaluate the association between user-centered design practices and the perceived utility of clinical decision support, while accounting for other important factors at those clinics, including implementation climate, available resources, and structural characteristics. We also examined associations separately at community-based clinics and at hospital-based clinics. Results User-centered design practices for clinical decision support varied across clinics: 74% conducted pilot testing, 62% conducted provider satisfaction assessment, 36% conducted a formal usability assessment, and 79% conducted an analysis of impact on performance improvement. Overall perceived utility of clinical decision support was high, with a mean rating of 4.17 (+/− .67) out of 5 on a composite measure. “Analysis of impact on performance improvement” was the only user-centered design practice significantly associated with perceived utility of clinical decision support, b =.47 (p<.001). This association was present in hospital-based clinics, b =.34 (p<.05), but was stronger at community-based clinics, b =.61 (p<.001). Conclusions Our findings are highly supportive of the practice of analyzing the impact of clinical decision support on performance metrics. This was the most common user-centered design practice in our study, and was the practice associated with higher perceived utility of clinical decision support. This practice may be particularly helpful at community-based clinics, which are typically less connected to VA medical center resources.

Purpose To assess the impact of a home telemedicine clinic model (CoYoT1 Clinic) on psychosocial and behavioral outcomes designed for young adults (YAs) with type 1 diabetes (T1D). Methods YAs self-selected to participate in the CoYoT1 Clinic or serve as a usual care control. CoYoT1 Clinic visits consisted of an individual appointment with a provider and a group appointment with other YAs with T1D using home telemedicine. Psychosocial and behavioral functioning was assessed by 4 measures: Diabetes Distress Scale, Self-Efficacy for Diabetes Scale, Self-Management of Type 1 Diabetes in Adolescence Scale, and Center for Epidemiologic Studies Depression Scale. Results Forty-two patients participated in the CoYoT1 Clinic and 39 patients served as controls. CoYoT1 participants reported lower levels of distress ( P = .03), increased diabetes self-efficacy ( P = .01), and improved ability to communicate with others about diabetes ( P = .04) over the study period compared to controls. YA males in the control group reported increases in depressive symptoms ( P = .03) during the study period, but CoYoT1 participants showed no changes. Conclusion Group home telemedicine for YAs with T1D positively affects diabetes distress, self-efficacy, and diabetes-specific communication. These positive findings have the potential to also affect the YAs’ long-term diabetes outcomes. Further investigation of the model is needed.