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Patient empowerment is examined as a multi-dimensional factor influencing the use of diabetes self-management apps. The research design includes three studies conducted in Singapore. Study 1 examines how features of diabetes self-management apps correspond with theoretical indicators of empowerment, as well as app quality. Study 2 uses semi-structured face-to-face interviews with diabetes patients to draw first conclusions about the relevance of empowerment for diabetes app use. Study 3 includes an online patient survey, and uses cluster analytical methods to test the preliminary Study 2 results (typology of app use), as well as binary logistic regression to compare the strength of influence of various anteceding factors on the likelihood of diabetes app use. The studies show that especially the support by private social patient networks and the medical specialties of supervising physicians play a crucial role for technology-supported self-management.
Mobile Health Technologies, also known as mHealth technologies, have emerged, amongst healthcare providers, as the ultimate Technologies-of-Choice for the 21st century in delivering not only transformative change in healthcare delivery, but also critical health information to different communities of practice in integrated healthcare information systems. mHealth technologies nurture seamless platforms and pragmatic tools for managing pertinent health information across the continuum of different healthcare providers. mHealth technologies commonly utilize mobile medical devices, monitoring and wireless devices, and/or telemedicine in healthcare delivery and health research. Today, mHealth technologies provide opportunities to record and monitor conditions of patients with chronic diseases such as asthma, Chronic Obstructive Pulmonary Diseases (COPD) and diabetes mellitus. The intent of this book is to enlighten readers about the theories and applications of mHealth technologies in the healthcare domain.
Psychosocial Care for People with Diabetes describes the major psychosocial issues which impact living with and self-management of diabetes and its related diseases, and provides treatment recommendations based on proven interventions and expert opinion. The book is comprehensive and provides the practitioner with guidelines to access and prescribe treatment for psychosocial problems commonly associated with living with diabetes.
This open access textbook represents a vital contribution to global health education, offering insights into health promotion as part of patient care for bachelor’s and master’s students in health care (nurses, occupational therapists, physiotherapists, radiotherapists, social care workers etc.) as well as health care professionals, and providing an overview of the field of health science and health promotion for PhD students and researchers. Written by leading experts from seven countries in Europe, America, Africa and Asia, it first discusses the theory of health promotion and vital concepts. It then presents updated evidence-based health promotion approaches in different populations (people with chronic diseases, cancer, heart failure, dementia, mental disorders, long-term ICU patients, elderly individuals, families with newborn babies, palliative care patients) and examines different health promotion approaches integrated into primary care services. This edited scientific anthology provides much-needed knowledge, translating research into guidelines for practice. Today’s medical approaches are highly developed; however, patients are human beings with a wholeness of body-mind-spirit. As such, providing high-quality and effective health care requires a holistic physical-psychological-social-spiritual model of health care is required. A great number of patients, both in hospitals and in primary health care, suffer from the lack of a holistic oriented health approach: Their condition is treated, but they feel scared, helpless and lonely. Health promotion focuses on improving people’s health in spite of illnesses. Accordingly, health care that supports/promotes patients’ health by identifying their health resources will result in better patient outcomes: shorter hospital stays, less re-hospitalization, being better able to cope at home and improved well-being, which in turn lead to lower health-care costs. This scientific anthology is the first of its kind, in that it connects health promotion with the salutogenic theory of health throughout the chapters. the authors here expand the understanding of health promotion beyond health protection and disease prevention. The book focuses on describing and explaining salutogenesis as an umbrella concept, not only as the key concept of sense of coherence.
Diabetes Digital Health brings together the multifaceted information surrounding the science of digital health from an academic, regulatory, industrial, investment and cybersecurity perspective. Clinicians and researchers who are developing and evaluating mobile apps for diabetes patients will find this essential reading, as will industry people whose companies are developing mobile apps and sensors. - Provides valuable information for clinicians, researchers and industry about the design and evaluation of patient-facing diabetes adherence technologies - Highlights cutting-edge topics that are presented and discussed at the Digital Diabetes Congress
Modern technology has impacted healthcare and interactions between patients and healthcare providers through a variety of means including the internet, social media, mobile devices, and the internet of things. These new technologies have empowered, frustrated, educated, and confused patients by making educational materials more widely available and allowing patients to monitor their own vital signs and self-diagnose. Further analysis of these and future technologies is needed in order to provide new approaches to empowerment, reduce mistakes, and improve overall healthcare. Impacts of Information Technology on Patient Care and Empowerment is a critical scholarly resource that delves into patient access to information and the effect that access has on their relationship with healthcare providers and their health outcomes. Featuring a range of topics such as gamification, mobile computing, and risk analysis, this book is ideal for healthcare practitioners, doctors, nurses, surgeons, hospital staff, medical administrators, patient advocates, researchers, academicians, policymakers, and healthcare students.
Artificial Intelligence (AI) in Healthcare is more than a comprehensive introduction to artificial intelligence as a tool in the generation and analysis of healthcare data. The book is split into two sections where the first section describes the current healthcare challenges and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem. First, the AI applications in drug design and drug development are presented followed by its applications in the field of cancer diagnostics, treatment and medical imaging. Subsequently, the application of AI in medical devices and surgery are covered as well as remote patient monitoring. Finally, the book dives into the topics of security, privacy, information sharing, health insurances and legal aspects of AI in healthcare. - Highlights different data techniques in healthcare data analysis, including machine learning and data mining - Illustrates different applications and challenges across the design, implementation and management of intelligent systems and healthcare data networks - Includes applications and case studies across all areas of AI in healthcare data
Business intelligence supports managers in enterprises to make informed business decisions in various levels and domains such as in healthcare. These technologies can handle large structured and unstructured data (big data) in the healthcare industry. Because of the complex nature of healthcare data and the significant impact of healthcare data analysis, it is important to understand both the theories and practices of business intelligence in healthcare. Theory and Practice of Business Intelligence in Healthcare is a collection of innovative research that introduces data mining, modeling, and analytic techniques to health and healthcare data; articulates the value of big volumes of data to health and healthcare; evaluates business intelligence tools; and explores business intelligence use and applications in healthcare. While highlighting topics including digital health, operations intelligence, and patient empowerment, this book is ideally designed for healthcare professionals, IT consultants, hospital directors, data management staff, data analysts, hospital administrators, executives, managers, academicians, students, and researchers seeking current research on the digitization of health records and health systems integration.
Although Outcome Measurement has become an important tool in the evaluation of health promotion patient education and other health services interventions, problems remain in locating reliable measurements and scales. This book provides a unique compilation of more than 50 self-administered scales for measuring health behaviors, health status, self-efficacy, and health-care utilization.
What every nurse must know about diabetes Complete Nurse’s Guide to Diabetes Care is a comprehensive resource for all nurses who work with diabetes patients. Extensively revised, it offers expert advice on the fundamentals of diabetes care and related nursing issues.