This book examines the current state of elective placements of medical undergraduate students in developing countries and their impact on health care education at home. Drawing from a recent case study of volunteer deployment in Uganda, the authors provide an in-depth evaluation of the impacts on the students themselves and the learning outcomes associated with placements in low resource settin…
This handbook synthesizes and analyzes the growing knowledge base on life course health development (LCHD) from the prenatal period through emerging adulthood, with implications for clinical practice and public health. It presents LCHD as an innovative field with a sound theoretical framework for understanding wellness and disease from a lifespan perspective, replacing previous medical, biopsyc…
This book examines the concept of care and care practices in healthcare from the interdisciplinary perspectives of continental philosophy, care ethics, the social sciences, and anthropology. Areas addressed include dementia care, midwifery, diabetes care, psychiatry, and reproductive medicine. Special attention is paid to ambivalences and tensions within both the concept of care and care practi…
This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, reg…
This open access book outlines the challenges of supporting the health and wellbeing of older adults around the world and offers examples of solutions designed by stakeholders, healthcare providers, and public, private and nonprofit organizations in the United States. The solutions presented address challenges including: providing person-centered long-term care, making palliative care accessibl…
This open access book is a practical introduction to multilevel modelling or multilevel analysis (MLA) – a statistical technique being increasingly used in public health and health services research. The authors begin with a compelling argument for the importance of researchers in these fields having an understanding of MLA to be able to judge not only the growing body of research that uses i…