Literature DB >> 34855330

How Do PROMIS Scores Correspond to Common Physical Abilities?

Dane J Brodke1, Chong Zhang2, Jeremy D Shaw3, Amy M Cizik2, Charles L Saltzman2, Darrel S Brodke2.   

Abstract

BACKGROUND: The Patient-Report Outcomes Measurement Information System (PROMIS) is increasingly used as a general-purpose tool for measuring orthopaedic surgery outcomes. This set of questionnaires is efficient, precise, and correlates well with specialty-specific measures, but impactful implementation of patient-specific data, especially at the point of care, remains a challenge. Although clinicians may have substantial experience with established patient-reported outcome measures in their fields, PROMIS is relatively new, and the real-life meaning of PROMIS numerical summary scores may be unknown to many orthopaedic surgeons. QUESTIONS/PURPOSES: We aimed to (1) identify a small subset of important items in the PROMIS Physical Function (PF) item bank that are answered by many patients with orthopaedic conditions and (2) graphically display characteristic responses to these items across the physical function spectrum in order to translate PROMIS numerical scores into physical ability levels using clinically relevant, familiar terms.
METHODS: In a cross-sectional study, 97,852 PROMIS PF assessments completed by 37,517 patients with orthopaedic conditions presenting to a tertiary-care academic institution were pooled and descriptively analyzed. Between 2017 and 2020, we evaluated 75,354 patients for outpatient orthopaedic care. Of these, 67% (50,578) were eligible for inclusion because they completed a PROMIS version 2.0 physical function assessment; 17% (12,720) were excluded because they lacked information in the database on individual item responses, and another < 1% (341) were excluded because the assessment standard error was greater than 0.32, leaving 50% of the patients (37,517) for analysis. The PROMIS PF is scored on a 0-point to 100-point scale, with a population mean of 50 and SD of 10. Anchor-based minimum clinically important differences have been found to be 8 to 10 points in a foot and ankle population, 7 to 8 points in a spine population, and approximately 4 points in a hand surgery population. The most efficient and precise means of administering the PROMIS PF is as a computerized adaptive test (CAT), whereby an algorithm intelligently tailors each follow-up question based on responses to previous questions, requiring only a few targeted questions to generate an accurate result. In this study, the mean PROMIS PF score was 41 ± 9. The questions most frequently used by the PROMIS CAT software were identified (defined in this study as any question administered to > 0.1% of the cohort). To understand the ability levels of patients based on their individual scores, patients were grouped into score categories: < 18, 20 ± 2, 25 ± 2, 30 ± 2, 35 ± 2, 40 ± 2, 45 ± 2, 50 ± 2, 55 ± 2, 60 ± 2, and > 62. For each score category, the relative frequency of each possible response (ranging from "cannot do" to "without any difficulty") was determined for each question. The distribution of responses given by each score group for each question was graphically displayed to generate an intuitive map linking PROMIS scores to patient ability levels (with ability levels represented by how patients responded to the PROMIS items).
RESULTS: Twenty-eight items from the 165-question item bank were used frequently (that is, administered to more than 0.1% of the cohort) by the PROMIS CAT software. The top four items constituted 63% of all items. These top four items asked about the patient's ability to perform 2 hours of physical labor, yard work, household chores, and walking more than 1 mile. Graphical displays of responses to the top 28 and top four items revealed how PROMIS scores correspond to patient ability levels. Patients with a score of 40 most frequently responded that they experienced "some difficulty" with physical labor, yard work, household chores, and walking more than 1 mile, compared with "little" or "no" difficulty for patients with a score of 50 and "cannot do" for patients with a score of 30.
CONCLUSION: We provided a visual key linking PROMIS numerical scores to physical ability levels using clinically relevant, familiar terms. Future studies might investigate whether using similar graphical displays as a patient education tool enhances patient-provider communication and improves the patient experience. CLINICAL RELEVANCE: The visual explanation of PROMIS scores provided by this study may help new users of the PROMIS understand the instrument, feel empowered to incorporate it into their practices, and use it as a tool for counseling patients about their scores.
Copyright © 2021 by the Association of Bone and Joint Surgeons.

Entities:  

Mesh:

Year:  2021        PMID: 34855330      PMCID: PMC9007194          DOI: 10.1097/CORR.0000000000002046

Source DB:  PubMed          Journal:  Clin Orthop Relat Res        ISSN: 0009-921X            Impact factor:   4.755


  21 in total

1.  Patient-Reported Outcomes Measurement Information System and Legacy Patient-Reported Outcome Measures in the Field of Orthopaedics: A Systematic Review.

Authors:  Mohsin S Fidai; Bryan M Saltzman; Fabien Meta; Vincent A Lizzio; Jeffrey P Stephens; Kevin J Bozic; Eric C Makhni
Journal:  Arthroscopy       Date:  2017-10-31       Impact factor: 4.772

2.  Patient-reported outcomes use during orthopaedic surgery clinic visits improves the patient experience.

Authors:  David N Bernstein; Kathleen Fear; Addisu Mesfin; Warren C Hammert; David J Mitten; Paul T Rubery; Judith F Baumhauer
Journal:  Musculoskeletal Care       Date:  2019-01-07

3.  What Are the MCIDs for PROMIS, NDI, and ODI Instruments Among Patients With Spinal Conditions?

Authors:  Man Hung; Charles L Saltzman; Richard Kendall; Jerry Bounsanga; Maren W Voss; Brandon Lawrence; Ryan Spiker; Darrel Brodke
Journal:  Clin Orthop Relat Res       Date:  2018-10       Impact factor: 4.176

4.  Montreal Accord on Patient-Reported Outcomes (PROs) use series - Paper 3: patient-reported outcomes can facilitate shared decision-making and guide self-management.

Authors:  Vanessa K Noonan; Anne Lyddiatt; Patrick Ware; Susan B Jaglal; Richard J Riopelle; Clifton O Bingham; Sabrina Figueiredo; Richard Sawatzky; Maria Santana; Susan J Bartlett; Sara Ahmed
Journal:  J Clin Epidemiol       Date:  2017-04-20       Impact factor: 6.437

5.  Can Preoperative Patient-reported Outcome Measures Be Used to Predict Meaningful Improvement in Function After TKA?

Authors:  Jonathan L Berliner; Dane J Brodke; Vanessa Chan; Nelson F SooHoo; Kevin J Bozic
Journal:  Clin Orthop Relat Res       Date:  2017-01       Impact factor: 4.176

6.  PROMIS and FAAM Minimal Clinically Important Differences in Foot and Ankle Orthopedics.

Authors:  Man Hung; Judith F Baumhauer; Frank W Licari; Maren W Voss; Jerry Bounsanga; Charles L Saltzman
Journal:  Foot Ankle Int       Date:  2018-10-04       Impact factor: 2.827

7.  The PROMIS Physical Function item bank was calibrated to a standardized metric and shown to improve measurement efficiency.

Authors:  Matthias Rose; Jakob B Bjorner; Barbara Gandek; Bonnie Bruce; James F Fries; John E Ware
Journal:  J Clin Epidemiol       Date:  2014-05       Impact factor: 6.437

8.  Psychometric properties of the Patient-Reported Outcomes Measurement Information System (PROMIS®) pediatric item bank peer relationships in the Dutch general population.

Authors:  Michiel A J Luijten; Raphaële R L van Litsenburg; Caroline B Terwee; Martha A Grootenhuis; Lotte Haverman
Journal:  Qual Life Res       Date:  2021-02-19       Impact factor: 4.147

9.  What Does Your PROMIS Score Mean? Improving the Utility of Patient-Reported Outcomes at the Point of Care.

Authors:  Jeremy D Shaw; Ross McEntarfer; Jason Ferrel; Natasha Greene; Angela P Presson; Chong Zhang; Brandon D Lawrence; William R Spiker; Nicholas Spina; Darrel S Brodke
Journal:  Global Spine J       Date:  2020-10-14

10.  Better assessment of physical function: item improvement is neglected but essential.

Authors:  Bonnie Bruce; James F Fries; Debbie Ambrosini; Bharathi Lingala; Barbara Gandek; Matthias Rose; John E Ware
Journal:  Arthritis Res Ther       Date:  2009-12-16       Impact factor: 5.156

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