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

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nusratnaaz Shaikh ◽  
Alice Theadom ◽  
Richard Siegert ◽  
Natalie Hardaker ◽  
Doug King ◽  
...  

Abstract Objective To 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 methods Data 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. Results BIST 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. Conclusions The 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.

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Nusratnaaz Shaikh ◽  
Alice Theadom ◽  
Richard Siegert ◽  
Natalie Hardaker ◽  
Doug King ◽  
...  

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246512
Author(s):  
Alice Theadom ◽  
Natalie Hardaker ◽  
Charlotte Bray ◽  
Richard Siegert ◽  
Kevin Henshall ◽  
...  

Currently health care pathways (the combination and order of services that a patient receives to manage their injury) following a mild traumatic brain injury vary considerably. Some clinicians lack confidence in injury recognition, management and knowing when to refer. A clinical expert group developed the Brain Injury Screening Tool (BIST) to provide guidance on health care pathways based on clinical indicators of poor recovery. The tool aims to facilitate access to specialist services (if required) to improve longer term prognosis. The tool was developed using a three-step process including: 1) domain mapping; 2) item development and 3) item testing and review. An online retrospective survey of 114 adults (>16 years) who had experienced a mild brain injury in the past 10 years was used to determine the initial psychometric properties of the 15-item symptom scale of the BIST. Participants were randomised to complete the BIST and one of two existing symptom scales; the Rivermead Post-concussion Symptom Questionnaire (RPQ) or the Sports Concussion Assessment Test (SCAT-5) symptom scale to determine concurrent validity. Participant responses to the BIST symptom scale items were used to determine scale reliability using Cronbach’s alpha. A principal components analysis explored the underlying factor structure. Spearman’s correlation coefficients determined concurrent validity with the RPQ and SCAT-5 symptom scales. The 15 items were found to require a reading age of 6–8 years old using readability statistics. High concurrent validity was shown against the RPQ (r = 0.91) and SCAT-5 (r = 0.90). The BIST total symptom scale (α = 0.94) and the three factors identified demonstrated excellent internal consistency: physical/emotional (α = 0.90), cognitive (α = 0.92) and vestibular-ocular (α = 0.80). This study provides evidence to support the utility, internal consistency, factor structure and concurrent validity of the BIST. Further research is warranted to determine the utility of the BIST scoring criteria and responsiveness to change in patients.


2019 ◽  
Vol 100 (10) ◽  
pp. 1844-1852 ◽  
Author(s):  
Leia Vos ◽  
Gale G. Whiteneck ◽  
Esther Ngan ◽  
Luis Leon-Novelo ◽  
Mark Sherer

Author(s):  
Michael Oddy ◽  
Sara da Silva Ramos ◽  
Deborah Fortescue

This chapter examines the link between brain injury and social exclusion. Evidence suggests that people belonging to socially peripheral and disadvantaged groups are more likely to have suffered an acquired brain injury (ABI), particularly a traumatic brain injury (TBI). However, it is not clear whether this association is due to common risk factors for social exclusion and for brain injury, or whether each increases the risk of the other. The chapter first considers screening for brain injury, with particular emphasis on the Brain Injury Screening Index (BISI), before discussing a number of potential risk factors for brain injury such as homelessness and offending. It then describes a low-cost, low-intensity intervention known as the Linkworker system developed by The Disabilities Trust Foundation (TDTF) and concludes that self-reports of brain injury are an important source of evidence that TBI is prevalent in socially marginalised groups such as offenders and homeless people.


Brain Injury ◽  
2020 ◽  
Vol 34 (13-14) ◽  
pp. 1741-1755
Author(s):  
Leonardo Pellicciari ◽  
Daniele Piscitelli ◽  
Benedetta Basagni ◽  
Antonio De Tanti ◽  
Lorella Algeri ◽  
...  

2021 ◽  
Vol 12 ◽  
Author(s):  
Wei Chen ◽  
Yuxin Liang ◽  
Xingyu Yin ◽  
Xingrong Zhou ◽  
Rongfen Gao

The Fear of COVID-19 Scale (FCV-19S) is a new one-dimensional scale used to measure fear of an individual about the COVID-19. Given the seriousness of the COVID-19 situation in China when our study was taking place, our aim was to translate and examine the applicability of the FCV-19S in Chinese students. The sample used for validation comprised 2,445 Chinese students. The psychometrical characteristics of the Chinese FCV-19S (FCV-19S-C) were tested using Rasch analysis. Principal component analysis (PCA) proved the unidimensional structure of the model. Both infit and outfit mean square (MNSQ) values (0.69–1.31) and point-measure correlations (0.82–0.86) indicated a good model fit. Person-item separation and reliability values indicated good reliability of the scale. The person-item map revealed an acceptable level of match between the persons and the items. Differential item functioning of the FCV-19S-C showed no differences with respect to age or gender. FCV-19S-C scores were significantly associated with anxiety, stress, depression, ego-resilience, and general health. The FCV-19S-C was proven to be effective in measuring fear of Chinese students about the COVID-19.


2018 ◽  
Vol 30 (5) ◽  
pp. 948-960
Author(s):  
Sara da Silva Ramos ◽  
James Liddement ◽  
Charlotte Addicott ◽  
Deborah Fortescue ◽  
Michael Oddy

2019 ◽  
Vol 25 (4) ◽  
pp. 313-327 ◽  
Author(s):  
Michelle O’Sullivan ◽  
Steven Fitzsimons ◽  
Sara da Silva Ramos ◽  
Michael Oddy ◽  
Emily Glorney ◽  
...  

2011 ◽  
Vol 26 (8) ◽  
pp. 741-747 ◽  
Author(s):  
Gavin Williams ◽  
Bridget Hill ◽  
Julie F Pallant ◽  
Ken Greenwood

Objective: The High-level Mobility Assessment Tool (HiMAT) was developed to measure high-level mobility limitations following traumatic brain injury. The aim of this study was to investigate if the revised HiMAT is valid for use with adults with neurological conditions other than traumatic brain injury. Design: Cross-sectional study. Subjects: Ninety-five participants with neurological conditions. Methods: HiMAT score sheets were retrieved from the central medical files of people who had attended a major rehabilitation facility for a neurological condition from January 2006 to October 2007. Additional HiMAT score sheets were submitted by therapists who participated in the HiMAT User’s Group. Rasch analysis (RUMM2030 software) was used to determine the overall fit of the model, individual item fit and differential item functioning. Results: Rasch analysis supported the internal validity of the revised eight-item HiMAT for individuals with neurological conditions. It showed good overall fit ( P = 0.74), no misfitting items and excellent internal consistency (Person Separation Index = 0.91). The HiMAT is unidimensional with no evidence of response dependency and no differential item functioning for age or sex. Conclusion: Further development of the revised HiMAT is required to investigate other aspects of validity, reliability and responsiveness in different neurological populations. However, the results support the internal validity of the revised HiMAT when used for people with neurological conditions who are able to walk without gait aids.


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