Evidence map›Paper›PMID 39341440›Full record

ArticleArchives of physical medicine and rehabilitation2025

Crosswalking 4 Pain Impact Measures in a Nationally Representative Sample of Adults With Back Pain.

Graham T DiGuiseppi, Maria Orlando Edelen, Anthony Rodriguez, Mary Slaughter, Ron D Hays, Chengbo Zeng, Ian D Coulter, Patricia M Herman

Abstract read
In one paragraph

Article in Archives of physical medicine and rehabilitation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Graham T DiGuiseppiRAND, Pittsburgh, PA. Electronic address: gdiguise@rand.org.
Maria Orlando EdelenRAND, Boston, MA; Patient Reported Outcomes, Value and Experience (PROVE) Center, Department of Surgery, Brigham and Women's Hospital, Boston, MA.
Anthony RodriguezRAND, Boston, MA.
Mary SlaughterRAND, Santa Monica, CA.
Ron D HaysDivision of General Internal Medicine and Health Services Research, UCLA Department of Medicine, Los Angeles, CA.
Chengbo ZengPatient Reported Outcomes, Value and Experience (PROVE) Center, Department of Surgery, Brigham and Women's Hospital, Boston, MA.
Ian D CoulterRAND, Santa Monica, CA.
Patricia M HermanRAND, Santa Monica, CA.

Funding

Measuring Chronic Pain ImpactR01AT010402 · NCCIH · RAND CORPORATION · PI HAYS, RONALD DALE, HERMAN, PATRICIA M · 2020 to 2023
$2.5M
NCCIH NIH HHS R01 AT010402
6 · The paper itself

Abstract

objectiveTo generate crosswalk equations and tables for 4 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).

designCross-sectional survey assessing demographics and pain impact. Crosswalks were developed using item-response theory (IRT) cocalibrations and linear regressions between the ISS, ODI, RMDQ, and PEG.

settingOnline panel.

participantsPopulation-based sample of United States adults aged 18 and older. Eligibility criteria were reporting current back pain, not reporting 2 fake health conditions, and having data for 2 or more pain measures (N=1530; 37% of sample). Crosswalks were developed (n=1030) and cross-validated in a subsample of 500 participants (n=125 randomly sampled from each ISS quartile).

interventionsNot applicable.

main outcome measuresISS, ODI, RMDQ, and the PEG.

resultsAssociations of the ISS with the PEG and ODI met the criteria for IRT cocalibration. Other measure pairs were crosswalked 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

conclusionsThe crosswalks between the ISS and common legacy pain measures created in this study of a nationally representative sample of United States adults with back pain can be used to estimate 1 pain impact measure from another. Further evaluation in clinical samples is recommended.

Indexed as

Back PainDisability EvaluationPain MeasurementAdolescentAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedQuality of LifeSurveys and QuestionnairesUnited StatesYoung AdultBack painBack pain measurescrosswalksImpact Stratification ScoreIRTlinkingOswestry Disability IndexPain, Enjoyment of Life and General Activity Scale (PEG)Roland-Morris Disability Questionnaire

Identifiers

PMID39341440
PMCPMC11875982

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.