Healthcare disparities and models for change.

With Healthy People 2010 making the goal of eliminating health disparities a national priority, policymakers, researchers, medical centers, managed care organizations (MCOs), and advocacy organizations have been called on to move beyond the historic documentation of health disparities and proceed with an agenda to translate policy recommendations into practice. Working models that have successfully reduced health disparities in managed care settings were presented at the National Managed Health Care Congress Inaugural Forum on Reducing Racial and Ethnic Disparities in Health Care on March 10-11, 2003, in Washington, DC. These models are being used by federal, state, and municipal governments, as well as private, commercial, and Medicaid MCOs. Successful models and programs at all levels reduce health disparities by forming partnerships based on common goals to provide care, to educate, and to rebuild healthcare systems. Municipal models work in collaboration with state and federal agencies to integrate patient care with technology. Several basic elements of MCOs help to reduce disparities through emphasis on preventive care, community and member health education, case management and disease management tracking, centralized data collection, and use of sophisticated technology to analyze data and coordinate services. At the community level, there are leveraged funds from the Health Resources and Services Administration's Bureau of Primary Health Care. Well-designed models provide seamless monitoring of patient care and outcomes by integrating human and information system resources

A canonical theory of dynamic decision-making

Decision-making behavior is studied in many very different fields, from medicine and eco- nomics to psychology and neuroscience, with major contributions from mathematics and statistics, computer science, AI, and other technical disciplines. However the conceptual- ization of what decision-making is and methods for studying it vary greatly and this has resulted in fragmentation of the field. A theory that can accommodate various perspectives may facilitate interdisciplinary working. We present such a theory in which decision-making is articulated as a set of canonical functions that are sufficiently general to accommodate diverse viewpoints, yet sufficiently precise that they can be instantiated in different ways for specific theoretical or practical purposes. The canons cover the whole decision cycle, from the framing of a decision based on the goals, beliefs, and background knowledge of the decision-maker to the formulation of decision options, establishing preferences over them, and making commitments. Commitments can lead to the initiation of new decisions and any step in the cycle can incorporate reasoning about previous decisions and the rationales for them, and lead to revising or abandoning existing commitments. The theory situates decision-making with respect to other high-level cognitive capabilities like problem solving, planning, and collaborative decision-making. The canonical approach is assessed in three domains: cognitive and neuropsychology, artificial intelligence, and decision engineering

The transformation of community hospitals through the transition to value-based care: Lessons from Massachusetts

Enabling community hospitals to provide efficient and effective care and maintain competition on par with their academic medical center (AMC) counterparts remain challenges for most states. Advancing accountable care readiness adds to the complexity of these challenges. Community hospitals experience narrower operating margins and more limited access to large populations than their AMC counterparts, making the shift to value-based care difficult. Massachusetts has taken legislative action to ensure a statewide focus on reducing healthcare costs, which includes a nearly $120-million grant program supporting community hospital and system transformation toward a value-based environment. The Massachusetts Health Policy Commission’s Community Hospital Acceleration, Revitalization and Transformation (CHART) investment program is the state’s largest effort to date aimed at readying community hospitals for value-based care. In doing so, Massachusetts has created the largest state-driven, all-payer (payer-blind) readmission reduction initiative in the country. n this paper, we examine the design and evolution of CHART Phases 1 and 2 and offer insights for other states contemplating innovative approaches to bolstering community hospital participation in value-based care models

The Massachusetts Child Psychiatry Access Project: Supporting Mental Health Treatment in Primary Care

Outlines the implementation and success of a program that provides primary care providers treating children with telephonic psychiatric and clinical guidance and, in turn, in-person assessment, transitional therapy, and/or linkage to community services

Breaking the Barriers to Specialty Care: Practical Ideas to Improve Health Equity and Reduce Cost - Striving for Equity in Specialty Care Full Report

Tremendous health outcome inequities remain in the U.S. across race and ethnicity, gender and sexual orientation, socio-economic status, and geography—particularly for those with serious conditions such as lung or skin cancer, HIV/AIDS, or cardiovascular disease.These inequities are driven by a complex set of factors—including distance to a specialist, insurance coverage, provider bias, and a patient's housing and healthy food access. These inequities not only harm patients, resulting in avoidable illness and death, they also drive unnecessary health systems costs.This 5-part series highlights the urgent need to address these issues, providing resources such as case studies, data, and recommendations to help the health care sector make meaningful strides toward achieving equity in specialty care.Top TakeawaysThere are vast inequalities in access to and outcomes from specialty health care in the U.S. These inequalities are worst for minority patients, low-income patients, patients with limited English language proficiency, and patients in rural areas.A number of solutions have emerged to improve health outcomes for minority and medically underserved patients. These solutions fall into three main categories: increasing specialty care availability, ensuring high-quality care, and helping patients engage in care.As these inequities are also significant drivers of health costs, payers, health care provider organizations, and policy makers have a strong incentive to invest in solutions that will both improve outcomes and reduce unnecessary costs. These actors play a critical role in ensuring that equity is embedded into core care delivery at scale.

A 3 Week Geriatric Education Program for 4th Year Medical Students at Dalhousie University

Purpose -Population demographics are shifting towards an increased average age. Yet, many medical schools still do not have mandatory comprehensive education in Geriatric Medicine. In 2001, the Division of Geriatric Medicine at Dalhousie University developed a required three-week geriatric course for fourth year medical students. This paper describes the details of the curriculum so that it can be reproduced in other settings. Results - The curriculum was successfully implemented. An examination, held at the end of each 3-week rotation, documented extensive learning of important concepts in Geriatric Medicine. The students gave positive feedback about the benefits of this training program. Conclusion -A well developed formal education program teaches students specific skills in Geriatric Medicine, which may improve the care of the growing elderly populatio

The Value Driven Pharmacist: Basics of Access, Cost, and Quality 2nd Edition

https://digitalcommons.butler.edu/butlerbooks/1017/thumbnail.jp

Improving Medicaid Managed Care for Youth With Serious Behavioral Health Needs: A Quality Improvement Toolkit

Profiles successful initiatives by Medicaid managed care organizations in a collaboration to implement systems of care emphasizing early identification, coordination and management, and various services and supports in the least restrictive settings

User-centered visual analysis using a hybrid reasoning architecture for intensive care units

One problem pertaining to Intensive Care Unit information systems is that, in some cases, a very dense display of data can result. To ensure the overview and readability of the increasing volumes of data, some special features are required (e.g., data prioritization, clustering, and selection mechanisms) with the application of analytical methods (e.g., temporal data abstraction, principal component analysis, and detection of events). This paper addresses the problem of improving the integration of the visual and analytical methods applied to medical monitoring systems. We present a knowledge- and machine learning-based approach to support the knowledge discovery process with appropriate analytical and visual methods. Its potential benefit to the development of user interfaces for intelligent monitors that can assist with the detection and explanation of new, potentially threatening medical events. The proposed hybrid reasoning architecture provides an interactive graphical user interface to adjust the parameters of the analytical methods based on the users' task at hand. The action sequences performed on the graphical user interface by the user are consolidated in a dynamic knowledge base with specific hybrid reasoning that integrates symbolic and connectionist approaches. These sequences of expert knowledge acquisition can be very efficient for making easier knowledge emergence during a similar experience and positively impact the monitoring of critical situations. The provided graphical user interface incorporating a user-centered visual analysis is exploited to facilitate the natural and effective representation of clinical information for patient care

Building Medical Homes in State Medicaid and CHIP Programs

Presents strategies, best practices, and lessons learned from ten states' efforts to advance the medical home model of comprehensive and coordinated care in Medicaid and Children's Health Insurance Programs in order to improve quality and contain costs