HiMAT: High-Level Mobility Assessment Tool

Author(s):  
Gretchen R. Pfost ◽  
Brett Cook ◽  
Chang Ha Doh ◽  
Jerome Uthapan
2013 ◽  
Vol 93 (7) ◽  
pp. 900-910 ◽  
Author(s):  
Ingerid Kleffelgaard ◽  
Cecile Roe ◽  
Leiv Sandvik ◽  
Torgeir Hellstrom ◽  
Helene L. Soberg

BackgroundThe High-Level Mobility Assessment Tool (HiMAT) was developed to quantify balance and mobility problems after traumatic brain injury (TBI). Measurement properties of the HiMAT have not been tested in the mild TBI (MTBI) population.ObjectiveThe aim of this study was to examine the reliability, validity, and responsiveness of the HiMAT in a sample of the MTBI population.DesignA cohort, pretest-posttest, comparison study was conducted.MethodsNinety-two patients (69% men, 31% women) with a mean age of 37.1 years (SD=13.8) and a mean Glasgow Coma Scale score of 14.7 (SD=0.7) were recruited from Oslo University Hospital. All patients were tested with the HiMAT (range of scores=0 [worst] to 54 [best]) at 3 months postinjury. Fifty-one patients were retested at 6 months. A subgroup of 25 patients was selected for the reliability testing. Balance function reported on the Rivermead Post Concussion Symptoms Questionnaire was chosen as a criterion and anchor. Criterion-related validity was studied with correlation analysis. Intraclass correlation coefficients (ICCs) were used for assessing interrater and intrarater reliability. Minimal detectable change (MDC) for the HiMAT was estimated. Responsiveness was assessed with receiver operating characteristic curve analyses.ResultsThe mean HiMAT sum score was 46.2 (95% confidence interval=44.4 to 48.1). The HiMAT had a ceiling effect of 22.8%. The correlation between HiMAT scores and self-reported balance problems was large (r=−.63, P<.001). Interrater and intrarater reliability of the HiMAT sum score was high (interrater ICC=.99, intrarater ICC=.95). The MDC was −3 to +4 points. Responsiveness was good, and the HiMAT discriminated well between patients with self-perceived improved balance function versus unchanged balance function (area under the curve=0.86).LimitationsThe small sample size, a ceiling effect, and lack of a gold standard were limitations of the study.ConclusionsThe HiMAT demonstrated satisfactory measurement properties for patients with MTBI. The HiMAT can be used as an outcome measure of balance and mobility problems in patients with MTBI.


Author(s):  
Williams ◽  
Robertson ◽  
Greenwood ◽  
Goldie ◽  
Morris

Brain Injury ◽  
2010 ◽  
Vol 24 (7-8) ◽  
pp. 1027-1031 ◽  
Author(s):  
Gavin Williams ◽  
Julie Pallant ◽  
Ken Greenwood

2005 ◽  
Author(s):  
G. Williams ◽  
V. Robertson ◽  
K. Greenwood ◽  
P. Goldie ◽  
M. E. Morris

2019 ◽  
Vol 100 (2) ◽  
pp. 324-331
Author(s):  
Beverly J Eldridge ◽  
Mary P Galea ◽  
Anne L Kissane ◽  
Jonathan C Broder ◽  
Samuel L Brilleman ◽  
...  

Abstract Background Physical therapists need to be able to evaluate high-level gross motor skills of children to determine their capacity to engage in activities such as running, jumping, hopping, and stair climbing. The High-Level Mobility Assessment Tool (HiMAT) has excellent interrater and retest reliability and is less susceptible to a ceiling effect than existing mobility scales in children who are 6 to 17 years old and have traumatic brain injury. Objective The purposes of this study were to develop normative HiMAT score ranges for Australian children and to investigate the relationship between children’s HiMAT scores and their age, height, weight, and body mass index (BMI). Design This study used a cross-sectional design. Methods Children included in this study were 5 to 12 years old, had no condition affecting their mobility, could follow 2-stage instructions, and had written informed consent from their parent or guardian. A total 1091 children were assessed at their local school, where their height, weight, and HiMAT score were recorded. The relationships between children’s age, height, weight, and BMI were summarized using Spearman rank correlations. Truncated regression models were used to determine the most appropriate predictor variable for developing sex-specific normative ranges. Results There was a positive correlation between children’s HiMAT scores and their age, height, weight, and BMI. Age explained the most variability in HiMAT scores for both boys and girls. Limitations The reliability, validity, and responsiveness of the HiMAT have not been tested across a broad range of children with mobility limitations. Normative data reported in this study are for Australian children only. Conclusions HiMAT scores for children in this study increased with age, height, weight, and BMI. Age was the most appropriate variable for developing a normative dataset of HiMAT scores for children of primary school age.


Brain Injury ◽  
2005 ◽  
Vol 19 (10) ◽  
pp. 833-843 ◽  
Author(s):  
G. P. Williams ◽  
V. Robertson ◽  
K. M. Greenwood ◽  
P. A. Goldie ◽  
M. E. Morris

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