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dc.contributor.authorShridharmurthy, Divya
dc.contributor.authorLapane, Kate L.
dc.contributor.authorKhan, Sara
dc.contributor.authorYi, Esther
dc.contributor.authorBaek, Jonggyu
dc.contributor.authorKay, Jonathan
dc.contributor.authorLiu, Shao-Hsien
dc.date.accessioned2022-10-07T14:12:22Z
dc.date.available2022-10-07T14:12:22Z
dc.date.issued2022-07-08
dc.identifier.citationShridharmurthy D, Lapane KL, Khan S, Yi E, Baek J, Kay J, Liu SH. Development and test-retest reliability of a screening tool for axial spondyloarthritis. PLoS One. 2022 Jul 8;17(7):e0269494. doi: 10.1371/journal.pone.0269494. PMID: 35802613; PMCID: PMC9269406.en_US
dc.identifier.eissn1932-6203
dc.identifier.doi10.1371/journal.pone.0269494en_US
dc.identifier.pmid35802613
dc.identifier.urihttp://hdl.handle.net/20.500.14038/51153
dc.description.abstractBackground: People with axial Spondyloarthritis (axSpA) suffer from lengthy diagnostic delays of ~7 years. The usage of screening tools to identify axSpA patients in primary care can reduce diagnostic delays by facilitating early referral to rheumatologic care. The purpose of this study was to examine the psychometric properties of a potential screening tool for patients with axSpA. Method: Content validity was evaluated by soliciting feedback from 7 rheumatologists regarding the relevance and content representativeness of the proposed screening questions. For the test-retest study, participants ≥18 years of age with chronic back pain (≥3 months) without a diagnosis of mechanical or inflammatory back pain (n = 91) were e-recruited through ResearchMatch. Participation included completing identical baseline and follow-up questionnaires ~14 days apart. Weighted quadratic kappa was used to measure test-retest reliability between the two ratings of the ordinal scales. Construct validity was examined using exploratory factor analysis (EFA) and items with factor loadings ≥0.6 were extracted. Scale dimensionality and simplified factorial solutions were measured using Kaiser's criteria (Eigenvalue >1). Cronbach's alpha was used to measure internal consistency. Results: Most participants were women, non-Hispanic white, and had at least some college education, with a mean age of 45 years. On average, the age at onset of back pain was 31 years. Eleven questions yielded test-retest reliabilities ranging from 0.6 to 0.76. Results from EFA extracted two factors relating to: 1) how pain affects daily life functioning and 2) whether pain improves with movement. Internal consistency was high for questions evaluating how pain affects life, with a Cronbach's alpha of 0.81. Following assessment for validity and reliability, the questionnaire was revised to create the 6-item screening tool. Conclusions: The 6-item SpA-SED screening tool designed to identify potential cases of axSpA was found to have good test-retest reliability and high internal consistency.en_US
dc.language.isoenen_US
dc.relation.ispartofPLoS Oneen_US
dc.relation.urlhttps://doi.org/10.1371/journal.pone.0269494en_US
dc.rightsCopyright © 2022 Shridharmurthy et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectPainen_US
dc.subjectRheumatic painen_US
dc.subjectQuestionnairesen_US
dc.subjectPrimary careen_US
dc.subjectFactor analysisen_US
dc.subjectPhysiciansen_US
dc.subjectDiagnostic medicineen_US
dc.subjectPsychometricsen_US
dc.subjectUMCCTS fundingen_US
dc.titleDevelopment and test-retest reliability of a screening tool for axial spondyloarthritisen_US
dc.typeJournal Articleen_US
dc.source.journaltitlePloS one
dc.source.volume17
dc.source.issue7
dc.source.beginpagee0269494
dc.source.endpage
dc.source.countryUnited States
dc.source.countryUnited States
dc.identifier.journalPloS one
refterms.dateFOA2022-10-07T14:12:22Z
dc.contributor.departmentMedicineen_US
dc.contributor.departmentMorningside Graduate School of Biomedical Sciencesen_US
dc.contributor.departmentPopulation and Quantitative Health Sciencesen_US


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Copyright © 2022 Shridharmurthy et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Except where otherwise noted, this item's license is described as Copyright © 2022 Shridharmurthy et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.