DESCRIPCION:
Guide to Evidence-Based Physical Therapist Practice, Second Edition provides readers with the information and tools needed to appreciate the philosophy, history, and value of evidence-based practice, understand what constitutes evidence, search efficiently for applicable evidence in the literature, evaluate the findings in the literature, and integrate the evidence with clinical judgement and individual patient preferences and values. This unique handbook marries the best elements of multiple texts into a single accessible guide. Divided into four sections that break down the research process, this user-friendly text also includes key terms, learning objectives, exercises, diagrams and worksheets, and useful appendices. This is a comprehensive resource no physical therapist or student should be without.
INDICE:
Part I Principles of Evidence-based Physical Therapist Practice
Chapter 1 Evidence-based Physical Therapist Practice
Chapter 2 What is Evidence?
Chapter 3 The Quest for Evidence: Getting Started
Part II Elements of Evidence
Chapter 4 Questions, Theories, and Hypotheses
Chapter 5 Research Design
Chapter 6 Research Subjects
Chapter 7 Variables and their Measurement
Chapter 8 Research Validity
Chapter 9 Unraveling Statistical Mysteries
Part III Appraising the Evidence
Chapter 10 Appraising Evidence about Diagnostic Tests and Clinical Measures
Chapter 11 Appraising Evidence about Prognostic Factors
Chapter 12 Appraising Evidence about Interventions
Chapter 13 Appraising Evidence about Clinical Prediction Rules
Chapter 14 Appraising Outcomes Research
Chapter 15 Appraising Evidence about Self-report Outcomes Measures
Chapter 16 Appraising Systematic Reviews and Clinical Practice Guidelines
Part IV Evidence in Practice
Chapter 17 Patient/Client Preferences and Values
Chapter 18 Putting it all Together
Appendix A Evidence Hierarchies
Appendix B Additional Evidence Appraisal Tools Available on the Internet
Appendix C Calculation of Confidence Intervals
Appendix D Alternative ways to evaluate the importance of statistical results from meta-analyses