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
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.

Auteurs

Graham T DiGuiseppi (GT)

RAND, Pittsburgh, PA, United States of America. Electronic address: gdiguise@rand.org.

Maria Orlando Edelen (MO)

RAND, Boston, MA, United States of America; Patient Reported Outcomes, Value and Experience (PROVE) Center, Department of Surgery, Brigham and Women's Hospital, Boston, MA, United States of America.

Anthony Rodriguez (A)

RAND, Boston, MA, United States of America.

Mary Slaughter (M)

RAND, Santa Monica, CA, United States of America.

Ron D Hays (RD)

Division of General Internal Medicine and Health Services Research, UCLA Department of Medicine, Los Angeles, CA, United States of America.

Chengbo Zeng (C)

Patient Reported Outcomes, Value and Experience (PROVE) Center, Department of Surgery, Brigham and Women's Hospital, Boston, MA, United States of America.

Ian D Coulter (ID)

RAND, Santa Monica, CA, United States of America.

Patricia M Herman (PM)

RAND, Santa Monica, CA, United States of America.

Classifications MeSH