Evidence-Based Nursing: A Guide to Clinical Practice

ISBN-13: 9780323025911 / Angielski / Miękka / 2005 / 640 str.

Alba Dicenso; Gordon Guyatt; Donna Ciliska

Opis

Written in response to numerous requests by nurse practitioners and other graduate faculty for a nursing literature resource, this new two-color book is based on the Users' Guides to the Medical Literature: A Manual for Evidence-Based Practice by Dr. Gordon Guyatt and Dr. Drummond Rennie, published in 2001 by the AMA. Revised for the nursing audience, Evidence-Based Nursing is a reader-friendly, accessible guide that features plentiful examples from the nursing literature and the addition of specific nursing issues such as qualitative research, with direct application for clinical practice. Drs. DiCenso, Ciliska, and Guyatt are three of the leaders in the evidence-based nursing community and command worldwide recognition. Evidence-Based Nursing will enable nurses to frame their clinical questions in a way that will help them find and distinguish between strong and weak evidence; clearly understand study results; weigh the risks and benefits of management options; and apply the evidence to their individual patients to improve outcomes.

Spis treści

PART I - The Basics: Using the Nursing Literature
Chapter 1: Introduction to Evidence-Based Nursing
Chapter 2: Finding the Evidence
Chapter 3: Health Care Interventions and Harm: An Introduction
Chapter 4: Health Care Interventions
Chapter 5: Harm
Chapter 6: Diagnosis
Chapter 7: Prognosis
Chapter 8: Qualitative Research
Chapter 9: Summarizing the Evidence Through Systematic Reviews
Chapter 10: Moving from Evidence to Action Using Clinical Practice Guidelines
Chapter 11: Changing Nursing Practice in an Organization

PART II - Beyond the Basics: Using and Teaching the Principles of Evidence-Based Nursing
Unit I: Health Care Interventions
Chapter 12: Quality of Life
Chapter 13: Surrogate Outcomes
Chapter 14: Surprising Results of Randomized Controlled Trials
Chapter 15: The Principle of Intention-to-Treat
Chapter 16: When to Believe a Subgroup Analysis

Unit II: Health Services Research
Chapter 17: Health Services Interventions
Chapter 18: Economic Evaluation
Chapter 19: Computer Decision Support Systems

Unit III: Diagnosis
Chapter 20: Clinical Manifestations of Disease
Chapter 21: Differential Diagnosis
Chapter 22: Clinical Prediction Rules

Unit IV: Summarizing the Evidence Through Systematic Reviews
Chapter 23: Publication Bias
Chapter 24: Evaluating Differences in Study Results
Chapter 25: Fixed-Effects and Random-Effects Models

Unit V: Understanding the Results
Chapter 26: Bias and Random Error
Chapter 27: Measures of Association
Chapter 28: HypothesisTesting
Chapter 29: Confidence Intervals
Chapter 30: Measuring Agreement Beyond Chance
Chapter 31: Regression and Correlation

Unit VI: Moving from Evidence to Action
Chapter 32: Number Needed to Treat
Chapter 33: Applying Results to Individual Patients
Chapter 34: Incorporating Patient Values
Chapter 35: Interpreting Levels of Evidence and Grades of Health Care Recommendations
Chapter 36: Recommendations about Screening

Appendix
Glossary
Index
CD-ROM Installation Instructions