Tim L Uhl1, Enrique V Smith-Forbes2, Arthur J Nitz3. 1. Division of Athletic Training, Department of Rehabilitation Sciences, College of Health Sciences, University of Kentucky, Lexington, KY, USA. Electronic address: tluhl2@uky.edu. 2. U.S. Army-Baylor, Doctor of Science in Occupational Therapy, Brooke Army Medical Center, Fort Sam Houston, TX, USA. 3. Division of Physical Therapy, Department of Rehabilitation Sciences, College of Health Sciences, University of Kentucky, Lexington, KY, USA.
Abstract
STUDY DESIGN: Retrospective cohort. INTRODUCTION: Rehabilitation interventions are commonly prescribed for patients with shoulder pain, but it is unclear what factors may help clinicians' prognosis for final outcomes. PURPOSE OF THE STUDY: The purpose of this study is to determine what factors are the best predictors of improved patient-reported outcomes at discharge in patients with shoulder pain. METHODS: Retrospective chart review of 128 patients presenting with shoulder pain to an outpatient physical therapy clinic. Chart review captured data regarding patient demographics, treatment interventions, patient history, and patient-reported outcome scores. The primary dependent variable was the overall change score of the QuickDASH (initial to discharge). Thirty-eight predictor variables were entered into a forward stepwise multivariate linear regression model to determine which variables and to what degree contributed to the dependent variable. RESULTS: The linear regression model identified 5 predictor variables that yielded an R = 0.74 and adjusted R2 = 0.538 (P < .001). The 5 predictor variables identified in order of explained variance are QuickDASH change at the fifth visit, a total number of visits, initial QuickDASH score, scapular retraction exercise, and age. DISCUSSION: Early change scores, equal to minimal detectable change scores on patient-reported outcomes appear to be strong indicators that patients with shoulder pain are on a positive trajectory to benefit from rehabilitation. CONCLUSION: Using patient-reported outcomes throughout care, not just at the start and end of care, will provide therapist feedback regarding patient's progress and indicate treatment effectiveness. LEVELS OF EVIDENCE: 4.
STUDY DESIGN: Retrospective cohort. INTRODUCTION: Rehabilitation interventions are commonly prescribed for patients with shoulder pain, but it is unclear what factors may help clinicians' prognosis for final outcomes. PURPOSE OF THE STUDY: The purpose of this study is to determine what factors are the best predictors of improved patient-reported outcomes at discharge in patients with shoulder pain. METHODS: Retrospective chart review of 128 patients presenting with shoulder pain to an outpatient physical therapy clinic. Chart review captured data regarding patient demographics, treatment interventions, patient history, and patient-reported outcome scores. The primary dependent variable was the overall change score of the QuickDASH (initial to discharge). Thirty-eight predictor variables were entered into a forward stepwise multivariate linear regression model to determine which variables and to what degree contributed to the dependent variable. RESULTS: The linear regression model identified 5 predictor variables that yielded an R = 0.74 and adjusted R2 = 0.538 (P < .001). The 5 predictor variables identified in order of explained variance are QuickDASH change at the fifth visit, a total number of visits, initial QuickDASH score, scapular retraction exercise, and age. DISCUSSION: Early change scores, equal to minimal detectable change scores on patient-reported outcomes appear to be strong indicators that patients with shoulder pain are on a positive trajectory to benefit from rehabilitation. CONCLUSION: Using patient-reported outcomes throughout care, not just at the start and end of care, will provide therapist feedback regarding patient's progress and indicate treatment effectiveness. LEVELS OF EVIDENCE: 4.
Authors: Mark W Werneke; Daniel Deutscher; Julie Fritz; Michael A Kallen; Karon F Cook; Deanna Hayes; Jerome E Mioduski; Linda J Woodhouse Journal: Qual Life Res Date: 2019-09-30 Impact factor: 4.147
Authors: Alan J Howell; Andrew Burchett; Nicholas Heebner; Cody Walker; Alec Baunach; Asia Seidt; Tim L Uhl Journal: Int J Sports Phys Ther Date: 2022-06-01