Point-of-care testing (POCT) refers to pathology testing performed in a clinical setting at the time of patient consultation, generating a rapid test result that enables informed and timely clinical action to be taken on patient care. It offers patients greater convenience and access to health services and helps to improve clinical outcomes. POCT also provides innovative solutions for the detection and management of chronic, acute and infectious diseases, in settings including family practices, Indigenous medical services, community health facilities, rural and remote areas and in developing countries, where health-care services are often geographically isolated from the nearest pathology laboratory. A Practical Guide to Global Point-of-Care Testing shows health professionals how to set up and manage POCT services under a quality-assured, sustainable, clinically and culturally effective framework, as well as understand the wide global scope and clinical applications of POCT. The book is divided into three major themes: the management of POCT services, a global perspective on the clinical use of POCT, and POCT for specific clinical settings. Chapters within each theme are written by experts and explore wide-ranging topics such as selecting and evaluating devices, POCT for diabetes, coagulation disorders, HIV, malaria and Ebola, and the use of POCT for disaster management and in extreme environments. Figures are included throughout to illustrate the concepts, principles and practice of POCT. Written for a broad range of practicing health professionals from the fields of medical science, health science, nursing, medicine, paramedic science, Indigenous health, public health, pharmacy, aged care and sports medicine, A Practical Guide to Global Point-of-Care Testing will also benefit university students studying these health-related disciplines.

A lively and important argument from an award-winning journalist proving that the key to reversing North America’s health crisis lies in the overlooked link between nutrition and flavor. In The Dorito Effect, Mark Schatzker shows us how our approach to the nation’s number one public health crisis has gotten it wrong. The epidemics of obesity, heart disease, and diabetes are not tied to the overabundance of fat or carbs or any other specific nutrient. Instead, we have been led astray by the growing divide between flavor—the tastes we crave—and the underlying nutrition. Since the late 1940s, we have been slowly leeching flavor out of the food we grow. Those perfectly round, red tomatoes that grace our supermarket aisles today are mostly water, and the big breasted chickens on our dinner plates grow three times faster than they used to, leaving them dry and tasteless. Simultaneously, we have taken great leaps forward in technology, allowing us to produce in the lab the very flavors that are being lost on the farm. Thanks to this largely invisible epidemic, seemingly healthy food is becoming more like junk food: highly craveable but nutritionally empty. We have unknowingly interfered with an ancient chemical language—flavor—that evolved to guide our nutrition, not destroy it. With in-depth historical and scientific research, The Dorito Effect casts the food crisis in a fascinating new light, weaving an enthralling tale of how we got to this point and where we are headed. We’ve been telling ourselves that our addiction to flavor is the problem, but it is actually the solution. We are on the cusp of a new revolution in agriculture that will allow us to eat healthier and live longer by enjoying flavor the way nature intended.

Protein in foods is important mainly as a source of nutrition. However, the ability of proteins to impart other favorable characteristics is known as functionality. Functional properties include viscosity, emulsification and foam formation. Twenty percent of the proteins used in food systems are thought to be there for functional reasons rather than nutritional reasons. This book reviews the most important techniques for the assessment for protein. Functionality, in the light of current theory, then suggests a 'standard' method applicable to a wide variety of situations. The subject is of large and growing importance to the food industry, where there is enormous pressure to create increasing numbers of new products with improved characteristics. In this book an international team of authors pull together information which has previously only been available in various academic and technical journals. Industrial food technologists, chemists, biochemists and microbiologists will find this book an essential source of information, while students of food science, biochemistry and microbiology will use it as a reference source.

Highly praised for its broad, practical coverage, the second edition of this popular text incorporated the major statistical models and issues relevant to epidemiological studies. Epidemiology: Study Design and Data Analysis, Third Edition continues to focus on the quantitative aspects of epidemiological research. Updated and expanded, this edition shows students how statistical principles and techniques can help solve epidemiological problems. New to the Third Edition New chapter on risk scores and clinical decision rules New chapter on computer-intensive methods, including the bootstrap, permutation tests, and missing value imputation New sections on binomial regression models, competing risk, information criteria, propensity scoring, and splines Many more exercises and examples using both Stata and SAS More than 60 new figures After introducing study design and reviewing all the standard methods, this self-contained book takes students through analytical methods for both general and specific epidemiological study designs, including cohort, case-control, and intervention studies. In addition to classical methods, it now covers modern methods that exploit the enormous power of contemporary computers. The book also addresses the problem of determining the appropriate size for a study, discusses statistical modeling in epidemiology, covers methods for comparing and summarizing the evidence from several studies, and explains how to use statistical models in risk forecasting and assessing new biomarkers. The author illustrates the techniques with numerous real-world examples and interprets results in a practical way. He also includes an extensive list of references for further reading along with exercises to reinforce understanding. Web Resource A wealth of supporting material can be downloaded from the book’s CRC Press web page, including: Real-life data sets used in the text SAS and Stata programs used for examples in the text SAS and Stata programs for special techniques covered Sample size spreadsheet