In this lucid, readable book Trisha Greenhalgh provides the basics of evidence based medicine: how to find a medical research paper, assess it for its scientific validity, and where relevant, put the findings into practice. Written for anyone, medically qualified or not, who wishes to understand and apply evidence based medicine, How to Read a Paper makes seemingly obscure concepts clear and relevant, using practical examples and considering all the main types of research paper. This book is a comprehensive introduction to the usefulness and potential applications of evidence based medicine in the clinical setting.
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This is a pithy, pocket-sized resource for students and practicing nurses alike that delivers the foundations of evidence-based practice (EBP) and basic nursing research concepts in an easy-to-read, quick-access format. It demystifies the research process with straightforward information presented in concise sentences and bullet points. The book focuses on providing readers with the most practical information on EBP--including how to get the best evidence quickly using various databases and includes coverage of both quantitative and qualitative methods.

Designed as a textbook for the DNP curriculum and as a practical resource for more seasoned health professionals, this acclaimed text encompasses aninterprofessional approach to translating evidence into nursing and health care practice that is useful for both clinical and nonclinical environments.

This text provides top-tier guidance for DNP students, graduate faculty, APRNs, and other health care providers on how to use available research for improving patient outcomes and reducing costs. It is the only resource written expressly to meet the objectives of DNP courses.

This practical, easy-to-use guide directs healthcare leaders through preparing, implementing, and evaluating any EBP process model and provides tools for topic selection, literature searches, research and evidence review, implementation, and evaluation. The authors provide comprehensive building blocks along with strategies, tools, and tips to guide individuals and teams who make the important day-to-day decisions that ultimately affect patient outcomes.

This text will discuss the fundamentals of statistical methods, including statistical vocabulary, population parameters, sampling methods and descriptive methods like measures, correlation and regression. Also, the topic of probability is emphasized, seeing that in order for any clinician to generate a precise diagnosis, a firm grasp of the probablilistic approach is critical.