Evidence map›Paper›PMID 38214044›Full record

ArticleEuropean journal of physical and rehabilitation medicine2023

Simplified functioning assessment for low back pain: ICF-based item response theory modelling.

John M Gikaro, Zi-Yan Zhu, Hui-Hui Shan, Shou-Guo Liu, Feng Lin

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Article in European journal of physical and rehabilitation medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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5 citing papers in PubMed.

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5 · Who and what money

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5 authors.

John M GikaroSchool of Rehabilitation Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
Zi-Yan ZhuSchool of Rehabilitation Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
Hui-Hui ShanSchool of Rehabilitation Medicine, Nanjing Medical University, Nanjing, Jiangsu, China.
Shou-Guo LiuDepartment of Rehabilitation Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.
Feng LinSchool of Rehabilitation Medicine, Nanjing Medical University, Nanjing, Jiangsu, China - peterduus@njmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the growing interest of the item response theory (IRT) in assessment of person abilities and functioning difficulties in screening tools, there is scarcity of research using IRT on ICF-based tools for persons with low back pain (LBP).

aimTo generate and validate a parsimonious core set of ICF (PCSI) for LBP based on the IRT modelling.

designA cross-sectional study.

settingNine hospitals in Jiangsu Province, China. POPULATION: We recruited patients with LBP.

methodsAll participants completed the 78 items of the comprehensive ICF Core Set for LBP. The five-point scoring system was converted to dichotomous data with 1 as functioning/independent and 0 as impairment/dependent. Psychometric properties of the data were examined using Mokken Scale analysis and parametric item response modelling.

resultsThis study recruited 306 participants (185 females and 121 males) with LBP. The overall median age of the study participants was 50.28 (95% CI 23.34; 82.05) years. We constructed a three-parameter logistic model with 28 ICF categories (8 of body function, 18 of activities and participation, and two of body structures). The internal consistency was good with Cronbach's alpha = 0.927 and latent class reliability coefficient (LCRC) = 0.955. The model was validated by significant correlations (P<0.001) of its estimated person abilities with the Oswestry Disability Index (ODI, r=-0.41), the Roland-Morris Disability Questionnaire (RMDQ, r=-0.57), the Physical Component Summary (PCS, r=0.63), and the Mental Component Summary (MCS, r = 0.46) of 12-Item Short Form Survey (SF-12). The person abilities and item difficulties were integrated into a Wright map that offered a background for making individualized clinical decisions.

conclusionsThe PCSI of LBP with 28 categories has good construct validity and internal consistency, and is a convenient instrument for assessing functioning among persons with LBP. The IRT model provided theoretical and algorithmic support for deriving a simplified model for functioning assessment hence serving a basis for formulating rehabilitation plans in clinical practice and research. CLINICAL REHABILITATION IMPACT: A parsimonious core set of ICF (PCSI) for LBP based on the IRT modelling provides a background for making individualized clinical decisions based on item difficulties.

Indexed as

Low Back PainCross-Sectional StudiesDisability EvaluationFemaleHumansMalePsychometricsReproducibility of ResultsSurveys and Questionnaires

Identifiers

PMID38214044
PMCPMC10792692

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