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According to David Satcher, M.D., Ph.D., the 16th U.S. Surgeon General, we know a great deal more about treating mental illnesses than about preventing them and promoting mental health. In his foreword to Clinical Manual of Prevention in Mental Health, Dr. Satcher applauds this guide as timely and vital, as it provides new and emerging research on the importance of prevention in mental health. Clinical Manual of Prevention in Mental Health was conceived through discussions within the Prevention Committee of the Group for the Advancement of Psychiatry (GAP), and features contributions from 30 highly regarded clinicians and researchers who are experienced in the treatment and prevention of spe...
It is easy to imagine that a future populated with an ever-increasing number of mobile and pervasive devices that record our minute goings and doings will significantly expand the amount of information that will be collected, stored, processed, and shared about us by both corporations and governments. The vast majority of this data is likely to benefit us greatly—making our lives more convenient, efficient, and safer through custom-tailored and context-aware services that anticipate what we need, where we need it, and when we need it. But beneath all this convenience, efficiency, and safety lurks the risk of losing control and awareness of what is known about us in the many different conte...
Notifications provide a unique mechanism for increasing the effectiveness of real-time information delivery systems. However, notifications that demand users' attention at inopportune moments are more likely to have adverse effects and might become a cause of potential disruption rather than proving beneficial to users. In order to address these challenges a variety of intelligent notification mechanisms based on monitoring and learning users' behavior have been proposed. The goal of such mechanisms is maximizing users' receptivity to the delivered information by automatically inferring the right time and the right context for sending a certain type of information. This book presents an overview of the current state of the art in the area of intelligent notification mechanisms that rely on the awareness of users' context and preferences. We first present a survey of studies focusing on understanding and modeling users' interruptibility and receptivity to notifications from desktops and mobile devices. Then, we discuss the existing challenges and opportunities in developing mechanisms for intelligent notification systems in a variety of application scenarios.
This book will give you a practical overview of several methods and approaches for designing mobile technologies and conducting mobile user research, including how to understand behavior and evaluate how such technologies are being (or may be) used out in the world. Each chapter includes case studies from our own work and highlights advantages, limitations, and very practical steps that should be taken to increase the validity of the studies you conduct and the data you collect. This book is intended as a practical guide for conducting mobile research focused on the user and their experience. We hope that the depth and breadth of case studies presented, as well as specific best practices, will help you to design the best technologies possible and choose appropriate methods to gather ethical, reliable, and generalizable data to explore the use of mobile technologies out in the world.
How digital therapies can transform your health. Traditional health care has a new ally. Some patients with sleep disorders, back pain, and diabetes are now being prescribed app-based treatment instead of drugs. Algorithms are helping cancer patients manage their symptoms, and video games are improving the attention span of children diagnosed with ADHD. A new class of medicine called digital therapeutics (DTx) is gaining traction and transforming the way patients engage with the health care system. In Medicine without Meds, Dean Ho, Yoann Sapanel, and Agata Blasiak explore the exciting potential for these digital therapies to transform patient care. Ho, Sapanel, and Blasiak share their insig...
This model has been expanded across several levels of analysis, including cultural, macro-social, and cellular factors. The 2nd edition also features: Greater emphasis on translating research into practice and policy. Two new sections on risk and protective factors for disease and another on social and structural influences that affect health such as socioeconomic status, reflect the current scholarship in the field. More on prevention and/or interventions and treatment in the applications section. The book opens with the fields central theories including a "newer" stress theory that emphasizes the interaction of biological and social systems. Part 2 reviews the mechanisms that help us explain the link between health and behavior across diseases and populations. The all new Part 3 focuses on variables that lead to the onset and progression of major diseases or that are instrumental in promoting health.
Perspectives on the varied challenges posed by big data for health, science, law, commerce, and politics. Big data is ubiquitous but heterogeneous. Big data can be used to tally clicks and traffic on web pages, find patterns in stock trades, track consumer preferences, identify linguistic correlations in large corpuses of texts. This book examines big data not as an undifferentiated whole but contextually, investigating the varied challenges posed by big data for health, science, law, commerce, and politics. Taken together, the chapters reveal a complex set of problems, practices, and policies. The advent of big data methodologies has challenged the theory-driven approach to scientific knowl...
This volume provides a comprehensive introduction to mHealth technology and is accessible to technology-oriented researchers and practitioners with backgrounds in computer science, engineering, statistics, and applied mathematics. The contributing authors include leading researchers and practitioners in the mHealth field. The book offers an in-depth exploration of the three key elements of mHealth technology: the development of on-body sensors that can identify key health-related behaviors (sensors to markers), the use of analytic methods to predict current and future states of health and disease (markers to predictors), and the development of mobile interventions which can improve health ou...
This book will give you a practical overview of several methods and approaches for designing mobile technologies and conducting mobile user research, including how to understand behavior and evaluate how such technologies are being (or may be) used out in the world. Each chapter includes case studies from our own work and highlights advantages, limitations, and very practical steps that should be taken to increase the validity of the studies you conduct and the data you collect. This book is intended as a practical guide for conducting mobile research focused on the user and their experience. We hope that the depth and breadth of case studies presented, as well as specific best practices, will help you to design the best technologies possible and choose appropriate methods to gather ethical, reliable, and generalizable data to explore the use of mobile technologies out in the world.