Although individual students' characteristics and preferences drive specialty choice decisions, the prevailing primary care culture at a school also plays a role.

Health care payment and delivery models that challenge providers to be accountable for outcomes have fueled interest in community-level partnerships that address the behavioral, social, and economic determinants of health. We describe how Hennepin Health--a county-based safety-net accountable care organization in Minnesota--has forged such a partnership to redesign the health care workforce and improve the coordination of the physical, behavioral, social, and economic dimensions of care for an expanded community of Medicaid beneficiaries. Early outcomes suggest that the program has had an impact in shifting care from hospitals to outpatient settings. For example, emergency department visits decreased 9.1 percent between 2012 and 2013, while outpatient visits increased 3.3 percent. An increasing percentage of patients have received diabetes, vascular, and asthma care at optimal levels. At the same time, Hennepin Health has realized savings and reinvested them in future improvements. Hennepin Health offers lessons for counties, states, and public hospitals grappling with the problem of how to make the best use of public funds in serving expanded Medicaid populations and other communities with high needs.

BackgroundOlder adults with complex care needs face trade-offs in determining the right course of treatment. The Centers for Medicare and Medicaid Services identified ‘Care is personalized and aligned with patient’s goals’ as a key meaningful measures category, yet existing quality measures typically assess disease-specific care and may not effectively evaluate what is most important to older adults and family members. Measures based on individualised goals and goal-based outcomes have been proposed as an alternative but are not routinely assessed or implemented.ObjectivesWe tested two approaches to assessing goal-based outcomes that allow individuals to set goals based on their own priorities and measure progress—(1) goal attainment scaling and (2) existing, validated patient-reported outcome measures (PROM).MethodsA prospective cohort study of feasibility in seven sites (33 clinicians) of the two approaches with 229 individuals. We calculated performance on a measure of achievement of individually identified goals.ResultsBoth approaches were successfully implemented in a non-randomly selected population, and a goal-based outcome could be calculated for 189 (82%) of participants. Most individuals met their goal-based outcome (73%) with no statistical difference between the goal attainment scaling approach (74%) and the patient-reported outcomes approach (70%). Goals were heterogeneous ranging from participating in activities, health management, independence and physical health. Clinicians chose to use goal attainment scaling (n=184, 80%) more often than PROMs (n=49, 20%) and rated the goal attainment scaling approach as useful for providing patient care.ConclusionGoal-based outcomes have the potential to both improve the way healthcare is provided and fill a critical gap in value-based payment.

Purpose: The purpose of the study is to capture goals expressed by older adults with functional limitations and their caregivers. Methods: Through focus groups and interviews, 76 older adults with ≥1 activity of daily living limitation and 28 family/friend caregivers were asked about what mattered most to them and their goals for care. Transcripts were coded using an existing taxonomy. Goals that did not fit the taxonomy were assigned new codes. Results: We identified more than 50 goals in eight domains. Domains included (a) Medical Care; (b) Quality of Life: Physical; (c) Quality of Life: Social and Emotional; (d) Access to Services and Supports; (e) Caregiver Needs and Concerns; (f) End of Life; (g) Independence; and (h) Acceptable Housing. Conclusion: While there is overlap between identified goals and the existing taxonomy, new goals emerged. The goal domains identified could serve as a framework to improve and measure the quality of goal-oriented care for older adults with complex needs.

Patient Centered Outcomes Research (PCOR) and health care delivery system transformation require investments in development of tools and techniques for rapid dissemination of clinical and operational best practices. This paper explores the current technology landscape for patient-centered clinical decision support (PC CDS) and what is needed to make it more shareable, standards-based, and publicly available with the goal of improving patient care and clinical outcomes. The landscape assessment used three sources of information: (1) a 22-member technical expert panel; (2) a literature review of peer-reviewed and grey literature; and (3) key informant interviews with PC CDS stakeholders. We identified ten salient technical considerations that span all phases of PC CDS development; our findings suggest there has been significant progress in the development and implementation of PC CDS but challenges remain.

Supporting healthcare decision-making that is patient-centered and evidence-based requires investments in the development of tools and techniques for dissemination of patient-centered outcomes research findings via methods such as clinical decision support (CDS). This article explores the technical landscape for patient-centered CDS (PC CDS) and the gaps in making PC CDS more shareable, standards-based, and publicly available, with the goal of improving patient care and clinical outcomes. This landscape assessment used: (1) a technical expert panel; (2) a literature review; and (3) interviews with 18 CDS stakeholders. We identified 7 salient technical considerations that span 5 phases of PC CDS development. While progress has been made in the technical landscape, the field must advance standards for translating clinical guidelines into PC CDS, the standardization of CDS insertion points into the clinical workflow, and processes to capture, standardize, and integrate patient-generated health data.

Despite expansion, the characteristics of matriculating medical students changed little, except at new schools. Further expansion may benefit from targeted consideration of workforce needs.

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