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      Use of Patient-Reported Outcomes Measurement Information System (PROMIS) measures to characterise health status for patients seeking care from an orthopaedic provider: a retrospective cohort study

      research-article
      1 , 2 , , 1 , 3 , 4 , 1 , 2 , 1 , 3 , Comprehensive Outcomes in Orthopaedics and Rehabilitation Data System (COORDS) group
      BMJ Open
      BMJ Publishing Group
      musculoskeletal disorders, foot & ankle, knee, spine

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          Abstract

          Objectives

          Characterise the health status of patients newly consulting an orthopaedic specialist across eight clinical subspecialties.

          Design

          Retrospective cohort.

          Setting

          18 orthopaedic clinics, including 8 subspecialties (14 ambulatory and 4 hospital based) within an academic health system.

          Participants

          14 910 patients consulting an orthopaedic specialist for a new patient consultation who completed baseline Patient-Reported Outcomes Measurement Information System (PROMIS) measures associated with their appointment from 17 November 2017 to 13 May 2019. Patients were aged 55.72±5.8 years old, and 61.3% were female and 79.3% were Caucasian and 13.4% were black or African American. Patients who did not complete PROMIS measures or cancelled their appointment were excluded from the study.

          Primary outcome

          PROMIS domains of physical function, pain interference, pain intensity, depression, anxiety, fatigue, sleep disturbance and the ability to participate in social roles.

          Results

          Mean PROMIS scores for physical function were (38.1±9.2), pain interference (58.9±8.1), pain intensity (4.6±2.5), depression (47.9±8.9), anxiety (49.9±9.5), fatigue (50.5±10.3), sleep disturbance (51.1±9.8) and ability to participate in social roles (49.1±10.3) for the entire cohort. Across the clinical subspecialties, neurosurgery, spine and trauma patients were most profoundly affected across almost all domains and patients consulting with a hand specialist reported the least limitations or symptoms across domains. There was a moderate, negative correlation between pain interference and physical functioning (r=−0.59) and low correlations between pain interference with anxiety (r=0.36), depression (r=0.39) as well as physical function and anxiety (r=−0.32) and depression(r=−0.30) and sleep (r=−0.31).

          Conclusions

          We directly compared clinically meaningful PROMIS domains across eight orthopaedic subspecialties, which would not have been possible with legacy measures alone. These results support PROMIS’s utility as a common metric to assess and compare patient health status across multiple orthopaedic subspecialties.

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          Most cited references50

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          Statistics corner: A guide to appropriate use of correlation coefficient in medical research.

          M M Mukaka (2012)
          Correlation is a statistical method used to assess a possible linear association between two continuous variables. It is simple both to calculate and to interpret. However, misuse of correlation is so common among researchers that some statisticians have wished that the method had never been devised at all. The aim of this article is to provide a guide to appropriate use of correlation in medical research and to highlight some misuse. Examples of the applications of the correlation coefficient have been provided using data from statistical simulations as well as real data. Rule of thumb for interpreting size of a correlation coefficient has been provided.
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            The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008.

            Patient-reported outcomes (PROs) are essential when evaluating many new treatments in health care; yet, current measures have been limited by a lack of precision, standardization, and comparability of scores across studies and diseases. The Patient-Reported Outcomes Measurement Information System (PROMIS) provides item banks that offer the potential for efficient (minimizes item number without compromising reliability), flexible (enables optional use of interchangeable items), and precise (has minimal error in estimate) measurement of commonly studied PROs. We report results from the first large-scale testing of PROMIS items. Fourteen item pools were tested in the U.S. general population and clinical groups using an online panel and clinic recruitment. A scale-setting subsample was created reflecting demographics proportional to the 2000 U.S. census. Using item-response theory (graded response model), 11 item banks were calibrated on a sample of 21,133, measuring components of self-reported physical, mental, and social health, along with a 10-item Global Health Scale. Short forms from each bank were developed and compared with the overall bank and with other well-validated and widely accepted ("legacy") measures. All item banks demonstrated good reliability across most of the score distributions. Construct validity was supported by moderate to strong correlations with legacy measures. PROMIS item banks and their short forms provide evidence that they are reliable and precise measures of generic symptoms and functional reports comparable to legacy instruments. Further testing will continue to validate and test PROMIS items and banks in diverse clinical populations. Copyright © 2010 Elsevier Inc. All rights reserved.
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              What Is Value in Health Care?

              New England Journal of Medicine, 363(26), 2477-2481
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                Author and article information

                Journal
                BMJ Open
                BMJ Open
                bmjopen
                bmjopen
                BMJ Open
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2044-6055
                2021
                2 September 2021
                : 11
                : 9
                : e047156
                Affiliations
                [1 ]departmentDepartment of Orthopaedic Surgery , Duke University , Durham, NC, USA
                [2 ]departmentDepartment of Population Health Sciences , Duke University , Durham, NC, USA
                [3 ]Duke Clinical Research Institute , Durham, North Carolina, USA
                [4 ]Duke University , Durham, North Carolina, USA
                Author notes
                [Correspondence to ] Dr Maggie E Horn; maggie.horn@ 123456duke.edu
                Author information
                http://orcid.org/0000-0002-3963-7389
                Article
                bmjopen-2020-047156
                10.1136/bmjopen-2020-047156
                8413970
                34475157
                a383678d-6924-4ddf-8141-48ffaf178d88
                © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 19 November 2020
                : 03 August 2021
                Categories
                Health Services Research
                1506
                1704
                Original research
                Custom metadata
                unlocked

                Medicine
                musculoskeletal disorders,foot & ankle,knee,spine
                Medicine
                musculoskeletal disorders, foot & ankle, knee, spine

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