Clinical Prediction Rules: A Physical Therapy Reference Manual (Jone's and Bartlett's Contemporary Issues in Physical Therapy and Rehabilitation Medicine)

This Book Offers The First Comprehensive Look At Cprs As They Relate To PT Practice. It’S Format Is Arranged So That The Pertinent Information Is Readily Available To Influence Clinical Decision Making While Also Providing Sufficient Depth. CPR Development Level Is Provided, A Quality Assessment Score Is Listed As Well As A Clinical Bottom Line Paragraph To Provide The Reader With A Summative Statement. The Predictor Variables Are Well Described And Include Multiple Color Pictures For Clarity Of Explanation And Ease Of Reproduction. To Further Assist The Reader In Their Utilization Of Clinical Prediction Rules The Authors Have Provided A Decision Making Algorithm As Well As Multiple Case Studies Demonstrating The Inclusion Of Such Rules Into An Evidence-Based Clinical Scenario. Cprs Are Becoming More Frequent In The PT Literature And This Book Provides Students And Clinicians With A Strong Working Knowledge Of The Rules Most Pertinent To PT Practice. Doody Review Services Reviewer: Gordon Riddle, PT, DPT, ATC, CSCS(North Hills Orthopedic and Sports Physical Therapy) Description: This reference manual of clinical prediction rules includes information about their appropriate review and utilization. The background and development of clinical prediction rules are discussed, touching on strengths, weaknesses, review of the literature, and application to clinical practice. Purpose: This book provides musculoskeletal clinicians with a guide to understanding the research process, a critical analysis of the literature, and the use of clinical prediction rules in physical therapy diagnosis, prognosis, and intervention. By integrating the best current evidence with clinical experience and patient preference, the authors believe that clinical prediction rules help to provide the most appropriate patient care. The authors provide a timely publication that is applicable to orthopedic clinicians. Audience: This is best used as a reference for entry-level physical therapists and experienced practicing orthopedic clinicians or as an instructional text in post-professional physical therapy programs. The authors are involved in continued professional development, have written numerous publications, earned multiple professional and research awards, and are active at state and national levels in the profession. Features: The book begins with the history of clinical prediction rules, how to critically review the literature, and apply research statistics to everyday clinical practice. This is followed by a discussion of rules used in screening patients who need referral. Rules are then organized by body region, with side bars of information noting the highest level and most current evidence. Highlights of the book include user-friendly tables and full-color figures to clarify examination techniques, special tests, and interventions. Chapter 9 integrates clinical prediction rules into case studies, thereby promoting clinical decision-making rationales. Five appendixes provide a simplified analysis and evaluation of the clinical prediction rules according to individual studies. Assessment: This is the first book of its kind dedicated to clinical prediction rules. It is well written and very timely with the current shift of evidence-based practice and the recent abundance of published clinical prediction rules. It serves as a great reference for orthopedic physical therapists, although it will require frequent updating as additional clinical prediction rules are validated and developed. The book is best used as one of many tools that can assist in providing the most current, evidence-based information leading to enhanced patient-centered care. Instructors, researchers, and practitioners of physical therapy and its constituent disciplines, Glynn and Weisbach (both Regis U., Denver) explain how clinical prediction rules, which have been used in medicine for decades, can be applied in physical therapy to facilitate evidence-based diagnostic, prognostic, and interventional decision making. The rules are algorithmic decision tools that use a parsimonious set of clinical findings from the history, physical examination, and diagnostic test results that have been analyzed and found to be statistically meaningful predictors of a condition or outcome of interest. The guide cover statistics, screening, the cervicothoracic region and temporomandibular joint, upper extremities, the lumbopelvic region, lower extremities, and case studies. Color photographs illustrate Statistics Screening Cervicothoracic region and temperomandibular joint (TMJ) Upper extremities Lumbopelvic region Lower extremities Case studies.