Background We propose a new clinical assessment tool constructed using machine
learning, called the Shoulder Arthroplasty Smart (SAS) score to quantify outcomes following …

Background The aim of this study was to synthesize the psychometric evidence on different
patient reported outcome measures (PROMs) for shoulder disorders. Methods This overview …

Background: An increasing reliance on patient-reported outcomes has led to greater
emphasis on minimal clinically important difference (MCID), substantial clinical benefit …

Purpose To investigate the impact social determinants of health (SDOH) have on National
Institutes of Health Patient-Reported Outcomes Measurement Information System (PROMIS) …

Background: Although minimal clinically important difference (MCID), Patient Acceptable
Symptom State (PASS), and substantial clinical benefit (SCB) have been defined for hip …

Abstract Introduction The Constant score, allows an objective and subjective assessment of
the shoulder function. It has been proven to have a poor interobserver reliability for some of …

Purpose To compare the use and responsiveness of Patient Reported Outcomes
Measurement Information System (PROMIS) to legacy patient-reported outcome measures …

Background An important psychometric parameter of validity that is rarely assessed is
predictive value. In this study we utilize machine learning to analyze the predictive value of 3 …

Although rotator cuff injures are often associated with a limited range of motion and muscle
weakness, being able to conduct pain-free and efficient performances of the activities as part …

Hypothesis The purpose of this study was to determine the prevalence and responsiveness
of common patient-reported outcome (PRO) tools in patients undergoing primary total …