All registered nurses must have a thorough understanding and a strong knowledge of pharmacology, medicines administration, and the ability to recognise and react to the effects of medicines. Fundamentals of Pharmacology helps nursing and healthcare students develop the skills and confidence required to apply the fundamental principles of pharmacology and to offer safe, competent and compassionate care. Concentrating on the medicines that students are most likely to encounter in real-world practice, this textbook provides concise coverage of pharmacology, essential medicines management principles, legal and ethical issues, drug formulations, analgesics, immunisations, and much more. Clinically focused chapters feature defined learning outcomes, multiple-choice questions, practical examples, and full-colour illustrations to aid readers' comprehension of the complexities of pharmacology and care provision. The book utilises a straightforward, student-friendly approach to present 'must-have' information, with contributions from experienced clinicians and academics. Describes how to use pharmaceutical and prescribing reference guides Stresses the role and importance of compassionate care throughout Contains a full range of pedagogical tools which enhance learning and recall Aligns with current NMC Standards and Proficiencies for Registered Nurses and Nursing Associates Supplemented and supported by a wealth of online extras and resources Fundamentals of Pharmacology is essential reading for all nursing students, trainee nursing associates, post-registration nurses taking 'nurse prescribing' or 'non-medical prescribing' modules, and newly qualified nurses and nursing associates looking to better understand pharmacology.

The headlines ring with stories of opioid addiction and overdose. Parents complain about their children's screen addiction, law enforcement decries the flood of fentanyl, scores of Americans overdose and die daily, and teen alcohol poisoning and marijuana-induced psychosis rates continue to rise. Disabling depression and anxiety are diagnosed at alarming rates in families across the country. Now, more than ever, families struggle to live with, care for, and protect their family members suffering with addiction or mental illness. Kenneth Perlmutter, a California psychologist with 30-plus years in the field, has written Freedom from Family Dysfunction specifically for family members who love someone battling addiction or mental illness who want to break the cycles of codependency and relapse plaguing their dysfunctional systems. The combination of compelling vignettes, lively dialogues, and step-by-step instructions makes this guidebook an indispensable tool for the parents, partners, adult children, and the clinicians who treat them, to heal the powerlessness, pain, and impossibility of life with someone they've been trying to help, sometimes for decades. Perlmutter takes a systemic and inter-generational view, combining current knowledge with his deep personal experience of addiction and family dysfunction to guide readers toward understanding their systems, their positions in them, and the forces that keep things stuck. "Stress-Induced Impaired Coping (SIIC)" is the term he's coined to describe his ground-breaking model of family system pathology and recovery. He invites families to see themselves not as dysfunctional, but as wounded, as they work toward connection, closeness, and the restoration of systemic mental wellness and sustainability. Best of all, the method works regardless of whether the one identified as "the problem" makes changes or not. Family members who take up Perlmutter's method will: * create closeness by pursuing connection over being right * reject "tough love" * learn to communicate authentically and to set boundaries confidently and fairly * rebuild trust, authenticity and equality in family relationships * reduce chaos, anxiety and distress in the mind and in the home * shift the entire family system itself toward wellness

Offers vivid narratives illuminating the challenges and opportunities health professionals and policymakers face Distinguished by abundant patient and health provider narratives highlighting the impact of health disparities on health outcomes worldwide, this scholarly yet practical text prepares RN-BSN, DNP, and PhD students to work toward improving community health for a variety of underserved and vulnerable populations. Grounded in the population health approach addressed in AACN Essentials, the text delivers practical steps nurses can take to address population health goals, including the improvement of quality of care, access to healthcare, improved outcomes, and cost management. The resource is also unique in its reflection of the interconnected points of view of the patient, the provider, and the health system. Written by lawyers, physicians, social workers, statisticians and economists, psychologists, ethicists, finance experts, population health specialists, anthropologists, and nurses, the text emphasizes an interdisciplinary approach to learning and all components of health care-delivery of care, policy, research, and teaching. It examines demographic differences, chronic and acute health conditions, and the health needs of the unserved/underserved across the life cycle. The book emphasizes the importance of understanding the social determinants of health and discusses ways to address health disparities through changes in public policy, attitudes, beliefs, education, research, and advocacy. Objectives, key terms, discussion questions, and exercises facilitate group discussion about best practices. Key Features: Delivers practical knowledge with detailed narratives and case studies of specific populations from experienced interprofessional authors Highlights the interwoven perspectives of patients, health providers, and health systems to promote cultural competence Pinpoints health disparities including a discussion of COVID-19 Presents selected historical landmarks and cases that influence population health outcomes among vulnerable groups Interdisciplinary approach includes the perspectives of other health and social science disciplines

Narrative theory goes back to Plato. It is an approach that tries to understand the abstract mechanism behind the story. This theory has evolved throughout the years and has been adopted by numerous domains and disciplines. Narrative therapy is one of many fields of narrative that emerged in the 1990s and has turned into a rich research field that feeds many disciplines today. Further study on the benefits, opportunities, and challenges of narrative therapy is vital to understand how it can be utilized to support society. Narrative Theory and Therapy in the Post-Truth Era focuses on the structure of the narrative and the possibilities it offers for therapy as well as the post-modern sources of spiritual conflict and how to benefit from the possibilities of the narrative while healing them. Covering topics such as psychotherapy, cognitive narratology, art therapy, and narrative structures, this reference work is ideal for therapists, psychologists, communications specialists, academicians, researchers, practitioners, scholars, instructors, and students.

Technological advancements have enhanced all functions of society and revolutionized the healthcare field. Smart healthcare applications and practices have grown within the past decade, strengthening overall care. Biomedical signals observe physiological activities, which provide essential information to healthcare professionals. Biomedical signal processing can be optimized through artificial intelligence (AI) and machine learning (ML), presenting the next step towards smart healthcare. AI-Enabled Smart Healthcare Using Biomedical Signals will not only cover the mathematical description of the AI- and ML-based methods, but also analyze and demonstrate the usability of different AI methods for a range of biomedical signals. The book covers all types of biomedical signals helpful for smart healthcare applications. Covering topics such as automated diagnosis, emotion identification, and frequency discrimination techniques, this premier reference source is an excellent resource for healthcare administration, biomedical engineers, medical laboratory technicians, medical technology assistants, computer scientists, libraries, students and faculty of higher education, researchers, and academicians.

During these uncertain and turbulent times, intelligent technologies including artificial neural networks (ANN) and machine learning (ML) have played an incredible role in being able to predict, analyze, and navigate unprecedented circumstances across a number of industries, ranging from healthcare to hospitality. Multi-factor prediction in particular has been especially helpful in dealing with the most current pressing issues such as COVID-19 prediction, pneumonia detection, cardiovascular diagnosis and disease management, automobile accident prediction, and vacation rental listing analysis. To date, there has not been much research content readily available in these areas, especially content written extensively from a user perspective. Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning is designed to cover a brief and focused range of essential topics in the field with perspectives, models, and first-hand experiences shared by prominent researchers, discussing applications of artificial neural networks (ANN) and machine learning (ML) for biomedical and business applications and a listing of current open-source software for neural networks, machine learning, and artificial intelligence. It also presents summaries of currently available open source software that utilize neural networks and machine learning. The book is ideal for professionals, researchers, students, and practitioners who want to more fully understand in a brief and concise format the realm and technologies of artificial neural networks (ANN) and machine learning (ML) and how they have been used for prediction of multi-disciplinary research problems in a multitude of disciplines.