The book pays interest to a small and almost untouched topic: a health practitioner’ s duty to inform about alternatives. It covers both orthodox medicine practitioners and CAM practitioners. The topic is explored in a co mparative way, examining the laws of not only common law jurisdictions, such as the USA, England, Canada, Australia, New Zealand, but also two East Asia jurisdictions ( China and Japan ) . It uses the collective wisdom of several common law jurisdictions, but also differentiates them. It places the issue of “disclosure of alternatives” in a clear and wider context, making a cogent distinction between diagnosis/treatment and information disclosure.
This 2005 examination of twelve case studies about mistake, fraud and duties to inform reveals significant differences about how contract law works in thirteen European legal systems and, despite the fact that the solutions proposed are often similar, what divergent values underlie the legal rules. Whereas some jurisdictions recognise increasing duties to inform in numerous contracts so that the destiny of mistake and fraud (classical defects of consent) may appear to be uncertain, other jurisdictions continue to refuse such duties as a general rule or fail to recognise the need to protect one of the parties where there is an imbalance in bargaining power or information. Avoiding preconceptions as to where and why these differences exist, this book first examines the historical origins and development of defects of consent, then considers the issues from a comparative and critical standpoint.
Model building is typically based on the identification of a set of established facts in any given field of research, insofar as the model is then evaluated on how well it accounts for these facts. Psychology – and specifically visual word identification and reading – is no exception in this sense (e.g., Amenta & Crepaldi, 2012; Coltheart et al., 2001; Grainger & Jacobs, 1996). What counts as an established fact, however, was never discussed in great detail. It was typically considered, for example, that experimental effects need to replicate across, e.g., individuals, experimental settings, and languages if they are to be believed. The emphasis was on consistency, perhaps under a tacit assumption that the universal principles lying behind our cognitive structures determine our behaviour for the most part (or at least for that part that is relevant for model building). There are signs that a different approach is growing up in reading research. On a theoretical ground, Dennis Norris’ Bayesian reader (2006, 2009) has advanced the idea that models can dispense of static forms of representation (i.e., fixed architectures), and process information in a way that is dynamically constrained by context-specific requirements. Ram Frost (2012) has focused on language-specific constraints in the development of general theories of reading. On an empirical ground, the most notable recent advance in visual word identification concern the demonstration that some previously established (in the classic sense) effects depend heavily on language (Velan and Frost, 2011), task (e.g., Duñabeitia et al., 2011; Marelli et al., 2013; Kinoshita and Norris, 2009), or even individual differences (Andrews & Lo, 2012, 2013). Variability has become an intrinsic and informative aspect of cognitive processing, rather than a sign of experimental weakness. This Research Topic aims at moving forward in this new direction by providing an outlet for experimental and theoretical papers that: (i) explore more in depth the theoretical basis for considering variability as an intrinsic property of the human cognitive system; (ii) highlight new context-dependent experimental effects, in a way that is informative on the dynamics of the underlying cognitive processing; (iii) shed new light on known context-dependent experimental effects, again in a way that enhances their theoretical informativeness.
In April 2015, the Institute of Medicine convened a workshop to explore the potential uses of simulation and other types of modeling for the purpose of selecting and refining potential strategies, ranging from interventions to investments, to improve the health of communities and the nation's health. Participants worked to identify how modeling could inform population health decision making based on lessons learned from models that have been, or have not been, used successfully, opportunities and barriers to incorporating models into decision making, and data needs and opportunities to leverage existing data and to collect new data for modeling. This report summarizes the presentations and discussions from this workshop.
In recent years, the U.S. federal government has invested approximately $463 billion annually in interventions that affect the overall health and well-being of children and youth, while state and local budgets have devoted almost double that amount. The potential returns on these investments may not only be substantial but also have long-lasting effects for individuals and succeeding generations of their families. Ideally, those tasked with making these investments would have available to them the evidence needed to determine the cost of all required resources to fully implement and sustain each intervention, the expected returns of the investment, to what extent these returns can be measured in monetary or nonmonetary terms, and who will receive the returns and when. As a result of a number of challenges, however, such evidence may not be effectively produced or applied. Low-quality evidence and/or a failure to consider the context in which the evidence will be used may weaken society's ability to invest wisely, and also reduce future demand for this and other types of evidence. Advancing the Power of Economic Evidence to Inform Investments in Children, Youth, and Families highlights the potential for economic evidence to inform investment decisions for interventions that support the overall health and well-being of children, youth, and families. This report describes challenges to the optimal use of economic evidence, and offers recommendations to stakeholders to promote a lasting improvement in its quality, utility, and use.
A compassionate guide to help Gold Star parents cope with the grief and loss of their military son or daughter. Author Joanne Steen tackles the subject that terrifies parents of military personnel—the death of their son or daughter on active duty. In short, easy-to-read chapters Gold Star parents find thoughtful explanations and trustworthy advice for coping with military grief. Steen weaves together realistic examples with voices of other Gold Star parents, connecting the readers to the wisdom of those parents who have walked in their shoes. Chapters for relatives, friends, and professional service providers of Gold Star parents are also included, supplying them with what they need to know about military loss; what to expect in the parents; and best practices on what to say and ways to help support them. Gold Star parents will find a path to survive their life-changing loss and develop the resilience to move forward. Joanne Steen has more than twenty years’ experience in the grief and loss field, with a specialty in military loss. She is a board-certified counselor, instructor, Gold Star widow, and the founder of Grief Solutions, a training company on grief, loss and resilience. Steen is also the coauthor of Military Widow: A Survival Guide (Naval Institute Press, 2006)
This conference proceedings compares various approaches to the development of key indicator systems which would provide reliable information spanning the social, economic and environmental domains.
