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Towards a better understanding of how medicines are used in society Drug Utilization Research (DUR) is a discipline which combines aspects of pharmacotherapy, epidemiology, and health services research into an interdisciplinary set of methods for analyzing and assessing the prescribing, dispensing and consumption of medicines. It combines both qualitative and quantitative approaches to facilitate the safe and effective use of pharmaceuticals. Drug Utilization Research: Methods and Applications provides a comprehensive introduction to this discipline, prepared by an international team of authors with broad experience in numerous fields. Now reorganized and updated to reflect the latest research and global challenges, it is an indispensable resource for understanding the use of pharmaceuticals. Readers of the second edition of Drug Utilization Research will find: New chapters on methods, including more hands-on guidance on how to plan and conduct different types of drug utilizationA section on specific applications in areas such as psychotropics, opioids, cancer drugs, antibacterials, and cardiovascular drugsA new section with case studies illustrating applications of DUR in different continentsDetailed treatment of subjects including DUR and health policy, DUR in specific populations, and many more Drug Utilization Research is ideal for epidemiologists, pharmacists, physicians, nurses and others interested in drug use and its outcomes.

Respect for patient autonomy and data privacy are generally accepted as foundational western bioethical values. Nonetheless, as our society embraces expanding forms of personal and health monitoring, particularly in the context of an aging population and the increasing prevalence of chronic diseases, questions abound about how artificial intelligence (AI) may change the way we define or understand what it means to live a free and healthy life. Who should have access to our health and recreational data and for what purpose? How can we find a balance between users'physical safety and their autonomy? Should we allow individuals to forgo continuous health monitoring, even if such monitoring may minimize injury risks and confer health and societal benefits? Would being continuously watched by connected devices ironically render patients more isolated and their data more exposed than ever? Drawing on different use cases of AI health monitoring, this book explores the socio-relational contexts that frame the promotion of AI health monitoring, as well as the potential consequences of such monitoring for people's autonomy. It argues that the evaluation, design, and implementation of AI health monitoring should be guided by a relational conception of autonomy, which addresses both people's capacity to exercise their agency and broader issues of power asymmetry and social justice. It explores how interpersonal and socio-systemic conditions shape the cultural meanings of personal responsibility, healthy living and aging, trust, and caregiving. These norms in turn structure the ethical space within which expectations regarding predictive analytics, risk tolerance, privacy, self-care, and trust relationships are expressed. Through an analysis of home health monitoring for older and disabled adults, direct-to-consumer health monitoring devices, and medication adherence monitoring, this book proposes ethical strategies at both the professional and systemic levels that can help preserve and promote people's relational autonomy in the digital era.

This book examines the idea of a fundamental entitlement to health and healthcare from a human rights perspective.The volume is based on a particular conceptual reasoning that balances critical thinking and pragmatism in the context of a universal right to health. Thus, the primary focus of the book is the relationship or contrast between rights-based discourse/jurisprudential arguments and real-life healthcare contexts. The work sets out the constraints that are imposed on a universal right to health by practical realities such as economic hardship in countries, lack of appropriate governance, and lack of support for the implementation of this right through appropriate resource allocation. It queries the degree to which the existence of this legally enshrined right and its application in instruments such as the International Covenant on Economic, Social and Cultural Rights (ICESCR) and the Universal Declaration of Human Rights (UDHR) can be more than an ephemeral aspiration but can, actually, sustain, promote, and instil good practice. It further asks if social reality and the inequalities that present themselves therein impede the implementation of laudable human rights, particularly within marginalised communities and cadres of people. It deliberates on what states and global bodies do, or could do, in practical terms to ensure that such rights are moved beyond the aspirational and become attainable and implementable. Divided into three parts, the first analyses the notion of a universal inalienable right to health(care) from jurisprudential, anthropological, legal, and ethical perspectives. The second part considers the translation of international human rights norms into specific jurisdictional healthcare contexts. With a global perspective it includes countries with very different legal, economic, and social contexts. Finally, the third part summarises the lessons learnt and provides a pathway for future action.The book will be an invaluable resource for students, academics, and policymakers working in the areas of health law and policy, and international human rights law.

How organizations—including Google, StubHub, Airbnb, and Facebook—learn from experiments in a data-driven world.Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of different online experiences. Once an esoteric tool for academic research, the randomized controlled trial has gone mainstream. No tech company worth its salt (or its share price) would dare make major changes to its platform without first running experiments to understand how they would influence user behavior. In this book, Michael Luca and Max Bazerman explain the importance of experiments for decision making in a data-driven world. Luca and Bazerman describe the central role experiments play in the tech sector, drawing lessons and best practices from the experiences of such companies as StubHub, Alibaba, and Uber. Successful experiments can save companies money—eBay, for example, discovered how to cut $50 million from its yearly advertising budget—or bring to light something previously ignored, as when Airbnb was forced to confront rampant discrimination by its hosts. Moving beyond tech, Luca and Bazerman consider experimenting for the social good—different ways that govenments are using experiments to influence or “nudge” behavior ranging from voter apathy to school absenteeism. Experiments, they argue, are part of any leader's toolkit. With this book, readers can become part of “the experimental revolution.”