Rasch analysis of the Brain Injury Screening Tool (BIST) in mild traumatic brain injury

BMC Neurology

Natalie Hardaker¹  Richard Siegert²  Nusratnaaz Shaikh³  Alice Theadom³  Patria Hume⁴  Doug King⁵ 

[1] Accident Compensation Corporation, Wellington, New Zealand;Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand;School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand;TBI Network, Auckland University of Technology, Auckland, New Zealand;School of Clinical Sciences, Auckland University of Technology, Auckland, New Zealand;TBI Network, Auckland University of Technology, Auckland, New Zealand;Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand;TBI Network, Auckland University of Technology, Auckland, New Zealand;Sports Performance Research Institute New Zealand, Auckland University of Technology, Auckland, New Zealand;School of Science and Technology, University of New England, Armidale, NSW, Australia;

关键词: Brain injury;    Concussion;    TBI;    Screening;    Assessment;    Measurement;    Rasch analysis;   

DOI  :  10.1186/s12883-021-02410-6

来源: Springer

【 摘 要 】

ObjectiveTo evaluate the psychometric properties of the Brain Injury Screening Tool (BIST) symptom scale in a sample of people with a mild Traumatic Brain Injury (mTBI) through Rasch analysis, and to obtain an interval level measurement score for potential clinical use.Materials and methodsData were obtained from 114 adults aged over 16 years, who had experienced at least one mTBI in the past 10 years. Participants were recruited via social media, concussion clinics and sports organisations over a 4-month period between May and September 2020. Participants were asked to compete the symptom scale of the BIST tool via an anonymous online questionnaire. Internal construct validity, dimensionality, person separation index, and differential item functioning of the BIST were examined with Rasch analysis.ResultsBIST in its original form produced a satisfactory item-trait interaction, and good reliability, but was found to be multi-dimensional. Rasch analysis of the full scale with three domains as subtests resulted in acceptable model fit (χ2(6) =3.8, p >  0.05), with good reliability (Person Separation Index = 0.84), and uni-dimensionality. Differential Item Functioning (DIF) analysis displayed no significant DIF effects for sex or age revealing that people responded consistently and similarly to the individual BIST items based on severity of symptom burden.ConclusionsThe 15-item symptom scale of the BIST tool is a psychometrically sound measure of symptom burden following mTBI. The findings provide support for use of both total and sub scale scores for clinical use. Ordinal to interval score conversions are recommended for use when using the scores for research purposes in mTBI.

【 授权许可】

CC BY