Evidence Based Nursing is written in response to numerous requests by nurse practitioners and other graduate faculty for a nursing literature resource. This reader-friendly, accessible guide features plentiful examples from the nursing literature and the addition of specific nursing issues such as qualitative research, with direct application for clinical practice. The guide enables nurses to:: frame their clinical questions in a way that will help them find the evidence to support their opinions; 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. Part One provides a basic approach to the problems faced by nurses when determining optimal care, predicting patient progress, and protecting patients from potentially harmful side effects, in addition to including a literature assessment summary and management recommendations. Part Two expands on Part One, providing concrete examples through case studies.
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
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