Muskuloskeletal Pain - Assessment, Prediction and Treatment - A Pragmatic Approach (Mar 25, 2020)_(191208550X)_(Handspring Publishing)

Musculoskeletal Pain - Assessment, Prediction and Treatment presents a common sense approach to interpreting and applying existing clinical knowledge and new research to help clinicians make sense of the complex phenomena of acute and chronic post-traumatic musculoskeletal pain. Built upon the Assess, Predict, Treat framework, the authors offer a method to help clinicians better understand their patients'pain. They present evidence-based decision tools to predict the natural and clinical course of common conditions, such as neck and low back pain, and they then synthesize that information into a logical, integrated treatment approach, which respects the individuality of the patient, the experiences of the clinician, and the value of evidence-informed practice.David Walton and James Elliott are leaders in the field of post-traumatic pain and recovery. Their work provides a valuable framework to facilitate novice clinicians in their transition towards experts and helps mid- and late-stage clinicians better interpret, synthesize, and discuss complex information on pain with the goal of optimised outcomes for patients. Cover Title Page Copyright Contents Dedication About the Authors Preface Foreword by Guy Simoneau Foreword by Wellington K. Hsu Chapter 1. A Pragmatic Approach to Seeing the Invisible Chapter 2. The Assess, Predict, Treat Framework Chapter 3. A New Framework for Clinical Assessment of Musculoskeletal Pain Chapter 4. Classifications of Patients that Matter when Interpreting Pain Chapter 5. Understanding Prognosis, or ‘How to Predict the Future’ Chapter 6. Creating Your ‘Go-To’ Toolbox Chapter 7. The Physiological Nociceptive Domain Chapter 8. The Neuropathic Domain Chapter 9. The Central Nociplastic Domain Chapter 10. The Cognitive Domain Chapter 11. The Emotional Domain Chapter 12. The Socioenvironmental Domain Chapter 13. The Sensorimotor Dysintegration Domain Chapter 14. Case Examples Index