Dr Daniel Riddle
The Otto D. Payton Professor of Physical Therapy, Orthopaedic Surgery and Rheumatology, Virginia Commonwealth University, USA
Daniel L. Riddle, PT, PhD, FAPTA is the Otto D. Payton Professor of Physical Therapy, Orthopaedic Surgery and Rheumatology at Virginia Commonwealth University in Richmond, Virginia, USA. He received his certificate in physical therapy from The University of Iowa, a master’s degree in orthopedic physical therapy and a doctoral degree with an emphasis in Exercise Physiology from Virginia Commonwealth University. Dr. Riddle’s primary research interests are in the areas of musculoskeletal pain problems and epidemiology, lower extremity osteoarthritis and joint replacement surgery. Dr. Riddle has authored more than 150 peer-reviewed full length publications. He has published in many journals including Arthritis and Rheumatology, Arthritis Care and Research, Osteoarthritis and Cartilage and the Annals of the Rheumatic Diseases. He currently serves on the Editorial Board for the Journal of Pain, and Arthritis Care and Research. Dr. Riddle’s research efforts have been supported by the Veteran’s Administration, the Agency for Healthcare Research and Quality and the National Institute of Health’s National Institute of Arthritis, Musculoskeletal and Skin Diseases among others.
Finding Meaning in Patient-reported Outcome Change Scores: The Minimal Clinically Important Difference Fallacy
The Minimal Clinically important Difference family of measures have become the standard for interpreting changes following treatment and to interpret the clinical importance of clinical trial data. This talk will dissect the MCID and reveal substantial conceptual and psychometric problems with these measures. Importantly, two more conceptually and psychometrically sound alternatives will be presented.
“Mostly Independent” Subgroups of Patients with Poor Pain and Function Outcome Following Knee Athroplasty
More than 20% of patients with knee replacement have persistent pain (or minimal benefit) despite an apparently successful procedure. This presentation will present new study results that both identify what this 20+% of patients might look like, how to identify them ahead of time and how this poor outcome subgroup compares to a successful surgical outcome. Methods will be presented that could apply to any population of patients with painful disorders.