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v. 1. Research findings -- v. 2. Concepts and methodology -- v. 3. Implementation issues -- v. 4. Programs, tools and products.
Clinical Case Studies for the Family Nurse Practitioner is a key resource for advanced practice nurses and graduate students seeking to test their skills in assessing, diagnosing, and managing cases in family and primary care. Composed of more than 70 cases ranging from common to unique, the book compiles years of experience from experts in the field. It is organized chronologically, presenting cases from neonatal to geriatric care in a standard approach built on the SOAP format. This includes differential diagnosis and a series of critical thinking questions ideal for self-assessment or classroom use.
Hypertension remains a leading cause of disability and death worldwide. Self-monitoring of blood pressure by patients at home is currently recommended as a valuable tool for the diagnosis and management of hypertension. Unfortunately, in clinical practice, home blood pressure monitoring is often inadequately implemented, mostly due to the use of inaccurate devices and inappropriate methodologies. Thus, the potential of the method to improve the management of hypertension and cardiovascular disease prevention has not yet been exhausted. This volume presents the available evidence on home blood pressure monitoring, discusses its strengths and limitations, and presents strategies for its optimal implementation in clinical practice. Written by distinguished international experts, it offers a complete source of information and guide for practitioners and researchers dealing with the management of hypertension.
This book presents the parameters of Mastery Learning (ML), an especially stringent variety of competency-based education that guides students to acquire essential knowledge and skill, measured rigorously against a minimum passing standard (MPS). As both a scholarly resource and a teaching tool, this is a “how to” book that serves as a resource for a wide variety of health professions educators. A seminal source of information and practical advice about ML, this book divided into five parts: Clinical Education in the Health Professions, The Mastery Learning Model, Mastery Learning in Action, Transfer of Training from Mastery Learning and The Road Ahead. Complete with high-quality images and tables, chapters take an in-depth look into ML principles and practices across the health professions. Specific educational content instructs readers on how to build and present ML curricula, evaluate short and long-run results, conduct learner debriefing and give powerful feedback, set learner achievement standards, and prepare faculty for new educational roles. An invaluable addition to the Comprehensive Healthcare Simulation Series, Mastery Learning in Health Professions Education is written and edited by leaders in the field for practicing clinicians in a variety of health professions.
The statistical study and development of analytic methodology for individualization of treatments is no longer in its infancy. Many methods of study design, estimation, and inference exist, and the tools available to the analyst are ever growing. This handbook introduces the foundations of modern statistical approaches to precision medicine, bridging key ideas to active lines of current research in precision medicine. The contributions in this handbook vary in their level of assumed statistical knowledge; all contributions are accessible to a wide readership of statisticians and computer scientists including graduate students and new researchers in the area. Many contributions, particularly those that are more comprehensive reviews, are suitable for epidemiologists and clinical researchers with some statistical training. The handbook is split into three sections: Study Design for Precision Medicine, Estimation of Optimal Treatment Strategies, and Precision Medicine in High Dimensions. The first focuses on designed experiments, in many instances, building and extending on the notion of sequential multiple assignment randomized trials. Dose finding and simulation-based designs using agent-based modelling are also featured. The second section contains both introductory contributions and more advanced methods, suitable for estimating optimal adaptive treatment strategies from a variety of data sources including non-experimental (observational) studies. The final section turns to estimation in the many-covariate setting, providing approaches suitable to the challenges posed by electronic health records, wearable devices, or any other settings where the number of possible variables (whether confounders, tailoring variables, or other) is high. Together, these three sections bring together some of the foremost leaders in the field of precision medicine, offering new insights and ideas as this field moves towards its third decade.
Second in a series of publications from the Institute of Medicine's Quality of Health Care in America project Today's health care providers have more research findings and more technology available to them than ever before. Yet recent reports have raised serious doubts about the quality of health care in America. Crossing the Quality Chasm makes an urgent call for fundamental change to close the quality gap. This book recommends a sweeping redesign of the American health care system and provides overarching principles for specific direction for policymakers, health care leaders, clinicians, regulators, purchasers, and others. In this comprehensive volume the committee offers: A set of performance expectations for the 21st century health care system. A set of 10 new rules to guide patient-clinician relationships. A suggested organizing framework to better align the incentives inherent in payment and accountability with improvements in quality. Key steps to promote evidence-based practice and strengthen clinical information systems. Analyzing health care organizations as complex systems, Crossing the Quality Chasm also documents the causes of the quality gap, identifies current practices that impede quality care, and explores how systems approaches can be used to implement change.
Getting the right diagnosis is a key aspect of health care - it provides an explanation of a patient's health problem and informs subsequent health care decisions. The diagnostic process is a complex, collaborative activity that involves clinical reasoning and information gathering to determine a patient's health problem. According to Improving Diagnosis in Health Care, diagnostic errors-inaccurate or delayed diagnoses-persist throughout all settings of care and continue to harm an unacceptable number of patients. It is likely that most people will experience at least one diagnostic error in their lifetime, sometimes with devastating consequences. Diagnostic errors may cause harm to patients by preventing or delaying appropriate treatment, providing unnecessary or harmful treatment, or resulting in psychological or financial repercussions. The committee concluded that improving the diagnostic process is not only possible, but also represents a moral, professional, and public health imperative. Improving Diagnosis in Health Care, a continuation of the landmark Institute of Medicine reports To Err Is Human (2000) and Crossing the Quality Chasm (2001), finds that diagnosis-and, in particular, the occurrence of diagnostic errorsâ€"has been largely unappreciated in efforts to improve the quality and safety of health care. Without a dedicated focus on improving diagnosis, diagnostic errors will likely worsen as the delivery of health care and the diagnostic process continue to increase in complexity. Just as the diagnostic process is a collaborative activity, improving diagnosis will require collaboration and a widespread commitment to change among health care professionals, health care organizations, patients and their families, researchers, and policy makers. The recommendations of Improving Diagnosis in Health Care contribute to the growing momentum for change in this crucial area of health care quality and safety.
'The Impact of School Infrastructure on Learning: A Synthesis of the Evidence provides an excellent literature review of the resources that explore the areas of focus for improved student learning, particularly the aspiration for “accessible, well-built, child-centered, synergetic and fully realized learning environments.†? Written in a style which is both clear and accessible, it is a practical reference for senior government officials and professionals involved in the planning and design of educational facilities, as well as for educators and school leaders. --Yuri Belfali, Head of Division, Early Childhood and Schools, OECD Directorate for Education and Skills This is an important and welcome addition to the surprisingly small, evidence base on the impacts of school infrastructure given the capital investment involved. It will provide policy makers, practitioners, and those who are about to commission a new build with an important and comprehensive point of reference. The emphasis on safe and healthy spaces for teaching and learning is particularly welcome. --Harry Daniels, Professor of Education, Department of Education, Oxford University, UK This report offers a useful library of recent research to support the, connection between facility quality and student outcomes. At the same time, it also points to the unmet need for research to provide verifiable and reliable information on this connection. With such evidence, decisionmakers will be better positioned to accurately balance the allocation of limited resources among the multiple competing dimensions of school policy, including the construction and maintenance of the school facility. --David Lever, K-12 Facility Planner, Former Executive Director of the Interagency Committee on School Construction, Maryland Many planners and designers are seeking a succinct body of research defining both the issues surrounding the global planning of facilities as well as the educational outcomes based on the quality of the space provided. The authors have finally brought that body of evidence together in this well-structured report. The case for better educational facilities is clearly defined and resources are succinctly identified to stimulate the dialogue to come. We should all join this conversation to further the process of globally enhancing learning-environment quality! --David Schrader, AIA, Educational Facility Planner and Designer, Former Chairman of the Board of Directors, Association for Learning Environments (A4LE)
Graduate medical education (GME) is critical to the career development of individual physicians, to the functioning of many teaching institutions, and to the production of our physician workforce. However, recent reports have called for substantial reform of GME. The current lack of established GME outcome measures limits our ability to assess the impact of individual graduates, the performance of residency programs and teaching institutions, and the collective contribution of GME graduates to the physician workforce. To examine the opportunities and challenges in measuring and assessing GME outcomes, the National Academies of Sciences, Engineering, and Medicine held a workshop on October 10â€"11, 2017, in Washington, DC. Workshop participants discussed: meaningful and measurable outcomes of GME; possible metrics that could be used to track these GME outcomes; possible mechanisms for collecting, collating, analyzing, and reporting these data; and further work to accomplish this ambitious goal. This publication summarizes the presentations and discussions from the workshop.