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Decision Making in Health and Medicine: Integrating Evidence and Values 2nd Edition, ISBN-13: 978-1107690479
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"Decision Making in Health and Medicine: Integrating Evidence and Values" (2nd Edition) provides a comprehensive framework for understanding how to make informed healthcare decisions that balance clinical evidence with personal values and preferences. The book discusses key concepts in decision theory, the role of uncertainty in medical decision-making, and strategies for communicating risk and options to patients. It emphasizes the importance of integrating both quantitative data and qualitative factors, such as patient values and societal considerations, to enhance the overall effectiveness and ethical dimensions of healthcare choices. By using real-world examples and practical tools, the authors aim to equip healthcare professionals with the skills necessary to facilitate shared decision-making processes that lead to better health outcomes.
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Title: Decision Making in Health and Medicine: Integrating Evidence and Values
Authors: Melvin D. Gootman, Annette M. Hantke, et al.
Edition: 2nd Edition
ISBN-13: 978-1107690479
Publisher: Cambridge University Press
Publication Year: 2015
Pages: 548
Language: English
Key Topics: Evidence-based medicine, health decision-making, integrating clinical evidence with personal values.
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"Decision Making in Health and Medicine: Integrating Evidence and Values" 2nd Edition offers a comprehensive framework for making informed healthcare decisions by blending clinical evidence with personal values. This edition emphasizes the importance of a patient-centered approach, guiding readers through complex decision-making processes in a manner that is both practical and insightful. By addressing uncertainty and incorporating quantitative analysis alongside ethical considerations, the book equips healthcare professionals with the tools to navigate the challenges of shared decision-making. Ultimately, it serves as an essential resource for anyone engaged in the health sector, advocating for a balanced integration of data and individual preferences in the pursuit of optimal health outcomes.
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