Abstract

BackgroundA crucial component to improving patient care is better clinician understanding of patients’ health-related quality of life (HRQoL). In orthopaedic surgery, HRQoL assessment instruments such as the NIH developed Patient Reported Outcomes Measurement Information System (PROMIS), provide surgeons with a framework to assess how a treatment or medical condition is affecting each patient’s HRQoL. PROMIS has been demonstrated as a valuable instrument in many diseases; however, the extent to which orthopaedic surgery subspecialties have used and validated PROMIS measures in peer-reviewed research is unclear.MethodsSystematic scoping methodology was used to investigate the characteristics of studies using PROMIS to assess HRQoL measures as orthopaedic surgical outcomes as well as studies validating computerized adaptive test (CAT) PROMIS physical health (PH) domains including: Physical Function (PF), Upper Extremity (UE), Lower Extremity (LE).ResultsA systematic search of PubMed identified 391 publications utilizing PROMIS in orthopaedics; 153 (39%) were PROMIS PH CAT validation publications. One-hundred publications were in Hand and Upper Extremity, 69 in Spine, 44 in Adult Reconstruction, 43 in Foot and Ankle, 43 in Sports, 37 in Trauma, 31 in General orthopaedics, and 24 in Tumor. From 2011 through 2020 there was an upward trend in orthopaedic PROMIS publications each year (range, 1–153) and an increase in studies investigating or utilizing PROMIS PH CAT domains (range, 1–105). Eighty-five percent (n = 130) of orthopaedic surgery PROMIS PH CAT validation publications (n = 153) analyzed PF; 30% (n = 46) analyzed UE; 3% (n = 4) analyzed LE.ConclusionsPROMIS utilization within orthopaedics as a whole has significantly increased within the past decade, particularly within PROMIS CAT domains. The existing literature reviewed in this scoping study demonstrates that PROMIS PH CAT domains (PF, UE, and LE) are reliable, responsive, and interpretable in most contexts of patient care throughout all orthopaedic surgery subspecialties. The expanded use of PROMIS CATs in orthopaedic surgery highlights the potential for improved quality of patient care. While challenges of integrating PROMIS into electronic medical records exist, expanded use of PROMIS CAT measurement instruments throughout orthopaedic surgery should be performed.Plain english summary In orthopaedic surgery, health-related quality of life tools such as the NIH developed Patient Reported Outcomes Measurement Information System (PROMIS), offer patients an opportunity to better understand their medical condition and be involved in their own care. Additionally, PROMIS provides surgeons with a framework to assess how a treatment or medical condition is affecting each patient’s functional status and quality of life. The efficacy of PROMIS has been demonstrated in many diseases; however, its application throughout orthopaedic care has yet to be depicted. This study sought to identify the extent to which all orthopaedic surgery subspecialties have used and validated PROMIS measures in peer-reviewed research in order to identify its potential as an applicable and valuable tool across specialties. We determined that PROMIS utilization has significantly increased within the past decade. The existing literature reviewed in this scoping study demonstrates that the PROMIS computerized adaptive test domains evaluating physical function status are reliable, responsive, and interpretable in most contexts of patient care throughout all orthopaedic surgery subspecialties. Based on these results, this study recommends the expanded and more uniform use of PROMIS computerized adaptive test measurement instruments in the clinical care of orthopaedic patients.

Highlights

  • Advances in health information technology have the potential to elevate the quality of patient care, especially by providing clinicians with efficient measures of patient reported outcomes (PROs) that provide insights into health-related quality of life (HRQoL) during treatment

  • The existing literature reviewed in this scoping study demonstrates that the Patient Reported Outcomes Measurement Information System (PROMIS) computerized adaptive test domains evaluating physical function status are reliable, responsive, and interpretable in most contexts of patient care throughout all orthopaedic surgery subspecialties

  • Individual review of the search results identified 102 publications that were not related to the primary objective of the search criteria and excluded from further analysis: 36 pediatric orthopaedics publications, 29 review studies, 9 editorials, 1 published erratum, and 27 publications that were unrelated to the care of orthopaedic patients or did not utilize PROMIS in the study

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Summary

Introduction

Advances in health information technology have the potential to elevate the quality of patient care, especially by providing clinicians with efficient measures of patient reported outcomes (PROs) that provide insights into health-related quality of life (HRQoL) during treatment. Numerous validated HRQoL assessment instruments exist in orthopaedics, commonly described as legacy measures These include American Shoulder and Elbow Surgeons Score (ASES), Disabilities of the Arm, Shoulder and Hand (DASH), Foot and Ankle Ability Measure (FAAM), Knee Injury and Osteoarthritis Outcome Score (KOOS), and others [1, 3]. The National Institute of Health (NIH) Patient Reported Outcomes Measurement Information System (PROMIS) was developed to deliver standardized, precise, quantitative values for individual domains of health and well-being [4], and has great potential to improve understandings of PROs in orthopaedic cases. HRQoL assessment instruments such as the NIH developed Patient Reported Outcomes Measurement Information System (PROMIS), provide surgeons with a framework to assess how a treatment or medical condition is affecting each patient’s HRQoL. PROMIS has been demonstrated as a valuable instrument in many diseases; the extent to which orthopaedic surgery subspecialties have used and validated PROMIS measures in peer-reviewed research is unclear

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