Developing a parsimonious ICF comprehensive core set for sleep disorders using item response theory
10.3969/j.issn.1001-1242.2025.12.009
- VernacularTitle:基于项目反应理论构建睡眠ICF综合核心组合精要模型的研究
- Author:
Rong CAO
1
;
Cunshu WU
;
Zhaodan GAN
Author Information
1. 南京医科大学第一附属医院康复医学科,江苏省 南京市,210029
- Publication Type:Journal Article
- Keywords:
international classification of functioning;
disability and health;
item response theory;
rehabilita-tion;
sleep disorder
- From:
Chinese Journal of Rehabilitation Medicine
2025;40(12):1824-1832
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To develop an essential version of the Sleep Disorder ICF combination with assessment efficacy based on item response theory(IRT),and provide a basis for the connection between assessment and treat-ment.Method:Based on the sampling principle of the maximum variation strategy,convenience samples were col-lected.The control variables of maximum variation included age,body mass index(BMI),the physical com-ponent summary(PCS)and mental component summary(MCS)of SF-12,the Pittsburgh Sleep Quality Index(PSQI),and the Symptom Checklist 90(SCL-90).ICF core set of sleep disorders,Pittsburgh Sleep Quality Index(PSQI),Montreal Cognitive Assessment(MOCA),Symptom Checklist-90(SCL-90),and the 12-item Short Form Health Survey(SF-12)were administered to eligible participants.An abridged version of the ICF-based comprehensive core set was conducted for sleep disorders using IRT.Monte Carlo simulation was ap-plied to analyze the relationship between individual functional levels(θ)and item difficulty in person-item maps,and to calculate the degree of benefit from interventions.Result:A 3-parameter logistic model(3PLM)with 34 categories was developed,demonstrating high reliability(internal consistency reliability test results:Cronbach's α=0.9249,Guttman's λ-2=0.9320,MS statistic=0.9398,LCRC=0.9585)and validity(the scores of the 34 ICF categories were significantly correlated with the original ICF scores,PSQI scores,SCL-90 scores,and SF-12 scores,P<0.001).The person-item map was used to match individual sleep-related functional levels(θ)to the item difficulties,distinguishing between the mastered and challenging categories,The degree of benefit was calculated for each matched item,revealing a strong cor-relation between item difficulty and benefit degree(P<0.001,Pearson correlation coefficient was 0.777).Conclusion:This study constructed a parsimonious version of the ICF-based comprehensive core set for sleep disorders with 34 items using IRT.The model can effectively evaluate the sleep-related(including cognitive-be-havioral,psychological-emotional,and social)functional levels in individuals with sleep disorders.The applica-tion of the model analysis further provides a visual tool and the expected benefit after intervention items,which can offer new insights for the rehabilitation of sleep disorders.
