Literature DB >> 35050447

Differential item functioning to validate setting of delivery compatibility in PROMIS-global health.

Dylan J Parker1, Paul M Werth2,3, David D Christensen2,3, David S Jevsevar2,3.   

Abstract

PURPOSE: Patient-reported outcomes measures (PROMs) such as PROMIS are increasingly utilized in healthcare to assess patient perception and functional status, but the effect of delivery setting remains to be fully investigated. To our knowledge, no current study establishes the absence of differential item functioning (DIF) across delivery setting for these PROMIS- Global Health (PROMIS-GH) measures among orthopedic patients. We sought to investigate the correlation of PROMIS-GH scores across in-clinic versus remote delivery by evaluating DIF within the Global Physical Health (GPH) and Global Mental Health (GMH) items. We hypothesize that the setting of delivery of the GPH and GMH domains of PROMIS-GH will not impact the results of the measure, allowing direct comparison between the two delivery settings.
METHODS: Five thousand and seven hundred and eighty-five complete PROMIS-Global Health measures were analyzed retrospectively using the 'Lordif' package on the R platform. DIF was measured for GPH and GMH domains across setting of response (in-clinic vs remote) during the pre-operative period, immediate post-operative period, and 1-year post-operative period using Monte Carlo estimation. McFadden pseudo-R2 thresholds (> 0.02) were used to assess the magnitude of DIF for individual PROMIS items.
RESULTS: No GPH or GMH items contained in the PROMIS-GH instrument yielded DIF across in-clinic vs remote delivery setting during the pre-operative, immediate post-operative, or 1-year post-operative window.
CONCLUSION: The GPH and GMH domains within the PROMIS-GH instrument may be delivered in the clinic or remotely with comparable accuracy. This cross-delivery setting validation analysis may aid to improve the quality of patient care by allowing mixed platform PROMIS-GH data tailored to individual patient circumstance.
© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Entities:  

Keywords:  Differential item functioning; PROMIS; Patient-reported outcomes; Setting of delivery

Mesh:

Year:  2022        PMID: 35050447     DOI: 10.1007/s11136-022-03084-4

Source DB:  PubMed          Journal:  Qual Life Res        ISSN: 0962-9343            Impact factor:   4.147


  32 in total

1.  Psychometric evaluation and calibration of health-related quality of life item banks: plans for the Patient-Reported Outcomes Measurement Information System (PROMIS).

Authors:  Bryce B Reeve; Ron D Hays; Jakob B Bjorner; Karon F Cook; Paul K Crane; Jeanne A Teresi; David Thissen; Dennis A Revicki; David J Weiss; Ronald K Hambleton; Honghu Liu; Richard Gershon; Steven P Reise; Jin-shei Lai; David Cella
Journal:  Med Care       Date:  2007-05       Impact factor: 2.983

2.  Cross-specialty PROMIS-global health differential item functioning.

Authors:  James J Gregory; Paul M Werth; Clifford A Reilly; David S Jevsevar
Journal:  Qual Life Res       Date:  2021-03-16       Impact factor: 4.147

3.  Six patient-reported outcome measurement information system short form measures have negligible age- or diagnosis-related differential item functioning in individuals with disabilities.

Authors:  Karon F Cook; Alyssa M Bamer; Dagmar Amtmann; Ivan R Molton; Mark P Jensen
Journal:  Arch Phys Med Rehabil       Date:  2012-03-02       Impact factor: 3.966

4.  The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005-2008.

Authors:  David Cella; William Riley; Arthur Stone; Nan Rothrock; Bryce Reeve; Susan Yount; Dagmar Amtmann; Rita Bode; Daniel Buysse; Seung Choi; Karon Cook; Robert Devellis; Darren DeWalt; James F Fries; Richard Gershon; Elizabeth A Hahn; Jin-Shei Lai; Paul Pilkonis; Dennis Revicki; Matthias Rose; Kevin Weinfurt; Ron Hays
Journal:  J Clin Epidemiol       Date:  2010-08-04       Impact factor: 6.437

5.  Electronic collection of health-related quality of life data: validity, time benefits, and patient preference.

Authors:  B D Bliven; S E Kaufman; J A Spertus
Journal:  Qual Life Res       Date:  2001       Impact factor: 4.147

Review 6.  Equivalence of electronic and paper-based patient-reported outcome measures.

Authors:  Niloufar Campbell; Faraz Ali; Andrew Y Finlay; Sam S Salek
Journal:  Qual Life Res       Date:  2015-02-22       Impact factor: 4.147

7.  Differential item functioning of the PROMIS physical function, pain interference, and pain behavior item banks across patients with different musculoskeletal disorders and persons from the general population.

Authors:  Martine H P Crins; Caroline B Terwee; Oguzhan Ogreden; Wouter Schuller; Paul Dekker; Gerard Flens; Daphne C Rohrich; Leo D Roorda
Journal:  Qual Life Res       Date:  2019-01-02       Impact factor: 4.147

8.  Patient reported outcome measures could help transform healthcare.

Authors:  Nick Black
Journal:  BMJ       Date:  2013-01-28

9.  Item response theory, computerized adaptive testing, and PROMIS: assessment of physical function.

Authors:  James F Fries; James Witter; Matthias Rose; David Cella; Dinesh Khanna; Esi Morgan-DeWitt
Journal:  J Rheumatol       Date:  2013-11-15       Impact factor: 4.666

10.  Electronic-Based Patient-Reported Outcomes: Willingness, Needs, and Barriers in Adjuvant and Metastatic Breast Cancer Patients.

Authors:  Andreas D Hartkopf; Joachim Graf; Elisabeth Simoes; Lucia Keilmann; Nina Sickenberger; Paul Gass; Diethelm Wallwiener; Lina Matthies; Florin-Andrei Taran; Michael P Lux; Stephanie Wallwiener; Eric Belleville; Christof Sohn; Peter A Fasching; Andreas Schneeweiss; Sara Y Brucker; Markus Wallwiener
Journal:  JMIR Cancer       Date:  2017-08-07
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