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"As in the first edition, the author has done a magnificent job compiling these instruments and providing important information that the reader can use to evaluate their usefulness." --Ora Lea Strickland, RN, PhD, FAAN (From the Foreword) This book provides all the essential research tools for assessing and measuring caring for those in the caring professions. Watson's text is the only comprehensive and accessible collection of instruments for care measurement in clinical and educational nursing research. The measurements address quality of care, patient, client, and nurse perceptions of caring, and caring behaviors, abilities, and efficacy. Newly updated, this edition also contains three new chapters, which document the most effective caring language and provide innovative methods of selecting appropriate tools for measurement based on validity and reliability. Key features of new edition: A chapter providing a comprehensive literature review of the research and measurement of caring A chapter entitled "Caring Factor Survey," which presents a new scale based on Watson's original theory of human caring Chapters outlining instruments for care measurement, including Holistic Caring Inventory, Peer Group Caring Interaction Scale, and many more New instruments focused on assessing caring at the administrative-relational caring level An updated section dedicated to challenges and future directions of the measurement of caring
"As in the first edition, the author has done a magnificent job compiling these instruments and providing important information that the reader can use to evaluate their usefulness." --Ora Lea Strickland, RN, PhD, FAAN (From the Foreword) This book provides all the essential research tools for assessing and measuring caring for those in the caring professions. Watson's text is the only comprehensive and accessible collection of instruments for care measurement in clinical and educational nursing research. The measurements address quality of care, patient, client, and nurse perceptions of caring, and caring behaviors, abilities, and efficacy. Newly updated, this edition also contains three new chapters, which document the most effective caring language and provide innovative methods of selecting appropriate tools for measurement based on validity and reliability. Key features of new edition: A chapter providing a comprehensive literature review of the research and measurement of caring A chapter entitled "Caring Factor Survey," which presents a new scale based on Watson's original theory of human caring Chapters outlining instruments for care measurement, including Holistic Caring Inventory, Peer Group Caring Interaction Scale, and many more New instruments focused on assessing caring at the administrative-relational caring level An updated section dedicated to challenges and future directions of the measurement of caring
The third edition is updated throughout and includes a comprehensive literature review of the research and measurement of caring. It features several new tools and instruments, and updates all established tools and instruments to reflect how each has been used in the past ten years. The third edition also presents a new chapter on assessing and measuring caring in digital/cyberspace settings, discusses global developments in assessing and measuring caring, and provides an updated section dedicated to the challenges and future directions of caring measurement.
Measuring Capacity to Care Using Nursing Data presents evidence-based solutions regarding the adoption of safe staffing principles and the optimum use of operational data to enable health service delivery strategies that result in improved patient and organizational outcomes. Readers will learn how to make better use of informatics to collect, share, link and process data collected operationally for the purpose of providing real-time information to decision- makers. The book discusses topics such as dynamic health care environments, health care operational inefficiencies and costly events, how to measure nursing care demand, nursing models of care, data quality and governance, and big data. The content of the book is a valuable source for graduate students in informatics, nurses, nursing managers and several members involved in health care who are interested in learning more about the beneficial use of informatics for improving their services. Presents and discusses evidences from real-world case studies from multiple countries Provides detailed insights of health system complexity in order to improve decision- making Demonstrates the link between nursing data and its use for efficient and effective healthcare service management Discusses several limitations currently experienced and their impact on health service delivery
The National Roundtable on Health Care Quality was established in 1995 by the Institute of Medicine. The Roundtable consists of experts formally appointed through procedures of the National Research Council (NRC) who represent both public and private-sector perspectives and appropriate areas of substantive expertise (not organizations). From the public sector, heads of appropriate Federal agencies serve. It offers a unique, nonadversarial environment to explore ongoing rapid changes in the medical marketplace and the implications of these changes for the quality of health and health care in this nation. The Roundtable has a liaison panel focused on quality of care in managed care organizations. The Roundtable convenes nationally prominent representatives of the private and public sector (regional, state and federal), academia, patients, and the health media to analyze unfolding issues concerning quality, to hold workshops and commission papers on significant topics, and when appropriate, to produce periodic statements for the nation on quality of care matters. By providing a structured opportunity for regular communication and interaction, the Roundtable fosters candid discussion among individuals who represent various sides of a given issue.
Companies are increasingly championed for their capacity to solve social problems. Yet what happens when such goods as water, education, and health are sold by companies - rather than donated by nonprofits - to the disadvantaged and when the pursuit of mission becomes entangled with the pursuit of profit? In Caring Capitalism, Emily Barman answers these important questions, showing how the meaning of social value in an era of caring capitalism gets mediated by the work of 'value entrepreneurs' and the tools they create to gauge companies' social impact. By shedding light on these pivotal actors and the cultural and material contexts in which they operate, Caring Capitalism accounts for the unexpected consequences of this new vision of the market for the pursuit of social value. Proponents and critics of caring capitalism alike will find the book essential reading.
Higher life expectancy on a global level requires complex nursing care as poor education and a lack of knowledge can lead to mistakes. There is a need for nurses who can provide high quality and advanced nursing practice. A mix of well-grounded education and innovative research is needed, where the first provides an understanding of best nursing practice care delivery and the second helps nurses determine best practices and improve nursing care.
Using Predictive Analytics to Improve Healthcare Outcomes Winner of the American Journal of Nursing (AJN) Informatics Book of the Year Award 2021! Discover a comprehensive overview, from established leaders in the field, of how to use predictive analytics and other analytic methods for healthcare quality improvement. Using Predictive Analytics to Improve Healthcare Outcomes delivers a 16-step process to use predictive analytics to improve operations in the complex industry of healthcare. The book includes numerous case studies that make use of predictive analytics and other mathematical methodologies to save money and improve patient outcomes. The book is organized as a “how-to” manual, showing how to use existing theory and tools to achieve desired positive outcomes. You will learn how your organization can use predictive analytics to identify the most impactful operational interventions before changing operations. This includes: A thorough introduction to data, caring theory, Relationship-Based Care®, the Caring Behaviors Assurance System©, and healthcare operations, including how to build a measurement model and improve organizational outcomes. An exploration of analytics in action, including comprehensive case studies on patient falls, palliative care, infection reduction, reducing rates of readmission for heart failure, and more—all resulting in action plans allowing clinicians to make changes that have been proven in advance to result in positive outcomes. Discussions of how to refine quality improvement initiatives, including the use of “comfort” as a construct to illustrate the importance of solid theory and good measurement in adequate pain management. An examination of international organizations using analytics to improve operations within cultural context. Using Predictive Analytics to Improve Healthcare Outcomes is perfect for executives, researchers, and quality improvement staff at healthcare organizations, as well as educators teaching mathematics, data science, or quality improvement. Employ this valuable resource that walks you through the steps of managing and optimizing outcomes in your clinical care operations.
A new edition of this practical guide for clinicians who are developing tools to measure subjective states, attitudes, or non-tangible outcomes in their patients, suitable for those who have no knowledge of statistics.