Crosswalking Four Pain Impact Measures in a Nationally Representative Sample of Adults with Back Pain.
IRT
Impact Stratification Score
Oswestry Disability Index
Pain, Enjoyment of Life and General Activity Scale (PEG)
Roland-Morris Disability Questionnaire
back pain
back pain measures
crosswalks
linking
Journal
Archives of physical medicine and rehabilitation
ISSN: 1532-821X
Titre abrégé: Arch Phys Med Rehabil
Pays: United States
ID NLM: 2985158R
Informations de publication
Date de publication:
26 Sep 2024
26 Sep 2024
Historique:
received:
24
04
2024
revised:
05
08
2024
accepted:
10
09
2024
medline:
29
9
2024
pubmed:
29
9
2024
entrez:
28
9
2024
Statut:
aheadofprint
Résumé
To generate crosswalk equations and tables for four pain impact measures: the Impact Stratification Score (ISS), Oswestry Disability Index (ODI), Roland-Morris Disability Questionnaire (RMDQ), and the Pain, Enjoyment of Life and General Activity Scale (PEG). Cross-sectional survey assessing demographics and pain impact. Crosswalks were developed using item response theory (IRT) co-calibrations and linear regressions between the ISS, ODI, RMDQ, and PEG. Online panel. Population-based sample of U.S. adults aged 18 and older. Eligibility criteria were reporting currentback pain, not reporting two fake health conditions, and having data for two or more pain measures (N = 1,530; 37% of sample). Crosswalks were developed (n = 1,030) and cross-validated in a sub-sample of 500 participants (n = 125 randomly sampled from each ISS quartile). Not Applicable. ISS, ODI, RMDQ, and the PEG. Associations of the ISS with the PEG and ODI met the criteria for IRT co-calibration. Other measure pairs were cross-walked using regression. Associations were strongest between the PEG and the ISS (r = 0.87, Normalized Mean Absolute Error [NMAE] = 0.38) and between the ODI and the ISS (r = 0.85, NMAE = 0.39). Associations were weakest between the PEG and the RMDQ (r = 0.69, R The crosswalks between the ISS and common legacy pain measures created in this study of a nationally representative sample of U.S. adults with back pain can be used to estimate one pain impact measure from another. Further evaluation in clinical samples is recommended.
Identifiants
pubmed: 39341440
pii: S0003-9993(24)01258-9
doi: 10.1016/j.apmr.2024.09.007
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2024. Published by Elsevier Inc.