Cited by 60Psychometric Methodologies and TestingMultiple Sclerosis Research StudiesPain Management and Opioid Use

Development of a crosswalk for pain interference measured by the BPI and PROMIS pain interference short form

Askew, Robert L., Kim, Jiseon, Chung, Hyewon, Cook, Karon F., Johnson, Kurt L., Amtmann, Dagmar·2013·Quality of Life Research

Abstract

Introduction To help researchers in multiple sclerosis (MS) take advantage of the measurement properties of the PROMIS Pain Interference instrument while maintaining continuity with previous research, we developed and tested a crosswalk table to transform Brief Pain Inventory pain interference scale (BPI-PI) scores to PROMIS-PI short form (PROMIS-PI SF) scores.Methods The BPI-PI and the PROMIS-PI SF were administered in two studies that included persons with MS. One sample of 369 participants served as a developmental calibration sample, and a separate sample of 360 served as a validation sample. The crosswalk development included dimensionality assessment, item-level parameter estimation, and assessment of accuracy. BPI-PI and PROMIS-PI T scores were obtained from participants' item responses, and using the crosswalk table, PROMIS-PI T scores were derived from responses to the BPI-PI items. Differences between observed and crosswalked T scores were compared in both samples.Results For BPI-PI summary scores ranging from 0 to 10, corresponding T scores ranged from 38.6 to 81.2. The mean difference between observed and crosswalked T scores was 0.51 (SD = 3.9) in the calibration sample and -1.47 (SD = 4.2) in the validation sample. Approximately 80 % of crosswalked scores in the calibration sample were within four score points of the observed PROMIS-PI SF scores, and 70 % were within four points in the validation sample. In both samples, the largest differences were at lower levels of the pain interference continuum.Conclusions Crosswalked pain interference scores adequately approximated observed PROMIS-PI SF scores in both the calibration and validation samples. MS researchers and clinicians interested in adopting the PROMIS instruments can use this table to transform BPI-PI scores to enable comparisons with other studies and to maintain continuity with previous research.

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Crossref · 10.1007/s11136-013-0398-5

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  • Although the PROMIS measures have been extensively validated, there is only modest information about their performance specifically in chronic low back pain.

    “Extensive effort has been made to validate the PROMIS measures,5, 7, 21, 51, 55, 72, 89, 92, 95 but there is modest information on their performance specifically in the context of cLBP.”

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Authors
Askew, R. L., Kim, J., Chung, H., Cook, K. F., Johnson, K. L., & Amtmann, D.
Affiliations
  • University of Washington (US)
  • Chungnam National University (KR)
  • Northwestern University (US)
Corresponding author
Amtmann, Dagmar
Venue
Quality of Life Research
Published
2013-03-29
Volume
22
Issue
10
Pages
2769-2776
ISSN
  • 0962-9343 (ISSN-L)
  • 1573-2649
OpenAlex
W1969127997
Cited by
60
References
17
Citations by year
2026: 1 · 2025: 1 · 2024: 5 · 2023: 5 · 2022: 2 · 2021: 6 · 2020: 4 · 2019: 3 · 2018: 5 · 2017: 5 · 2016: 5 · 2015: 8 · 2014: 9 · 2013: 1
FWCI
10.46
Type
journal article
Language
en
Open access
closed
Locations
  • Quality of Life Research (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • University of Washington
  • National Institute on Disability and Rehabilitation Research
  • National Institute of Arthritis and Musculoskeletal and Skin Diseases (U01AR052171)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
  • Health Sciences › Medicine › Anesthesiology and Pain Medicine › Pain Management and Opioid Use
Keywords
pain interference, pedestrian crossings, Brief Pain Inventory, multiple sclerosis, score conversion, measurement invariance, patient-reported outcomes, PROMIS
MeSH terms
Female, Humans, Male, Multiple Sclerosis, Pain Measurement, Psychometrics, Quality of Life, Surveys and Questionnaires, Chronic Pain, Pain Management

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