Rasch Analysis of a New Hierarchical Scoring System for Evaluating Hand Function on the Motor Assessment Scale for Stroke

Sabari, Joyce S.; Woodbury, Michelle; Velozo, Craig A.

doi:10.1155/2014/730298

Cited by 8 publications

(5 citation statements)

References 34 publications

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“…Person-strata is the number of center points, three standard errors apart that can be placed in a distribution; the more center points, the greater the precision. The person-strata calculations were computed using the discernable Strata formula, (4G+1)/3; where G=separation index [24, 31].…”

Section: Methodsmentioning

confidence: 99%

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Construct validity of the Eating Assessment Tool (EAT-10)

Wilmskoetter

Bonilha

Hong

et al. 2017

Disability and Rehabilitation

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Our analyses identified deficits in the construct validity of the EAT-10 suggestive of a need to improve the EAT-10 to support its frequent use in clinical practice and research. Implications for Rehabilitation Swallowing disorders are associated with severe complications, such as pneumonia and malnutrition, and impose both social and psychological burdens on patients. The Eating Assessment Tool is a self-report instrument developed to estimate initial dysphagia severity and monitor change in patient-reported dysphagia symptoms as a response to treatment. This study shows that the Eating Assessment Tool has deficits in its construct validity and a need to improve the instrument to support its frequent use in clinical practice and research.

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Section: Methodsmentioning

confidence: 99%

“…The Rasch model is a one-parameter logistic model within the tradition of the item response theory. The Rasch model is being increasingly applied to assess instruments used in rehabilitation [23, 24, 25, 26]. One of its advantages is that it transforms ordinal counts into linear objective measures.…”

Section: Introductionmentioning

confidence: 99%

Construct validity of the Eating Assessment Tool (EAT-10)

Wilmskoetter

Bonilha

Hong

et al. 2017

Disability and Rehabilitation

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“…The Finger Tapping Test is commonly used to assess bradykinesia in the upper extremities. This motor evaluation is an important component of several standardized clinical test used to assess upper limbs motor function in different neurological conditions, including PD and other forms of parkinsonism [ 2 ], [ 29 ], [ 30 ]. Individuals with PD and other neurological diseases demonstrate diminished movement speed and amplitude with increased movement hesitations/halts when compared to healthy controls [ 31 ].…”

Section: Discussionmentioning

confidence: 99%

Characterizing Disease Progression in Parkinson’s Disease from Videos of the Finger Tapping Test

Guarín,

Wong,

McFarland

et al. 2024

IEEE Trans. Neural Syst. Rehabil. Eng.

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Introduction: Parkinson’s disease (PD) is characterized by motor symptoms whose progression is typically assessed using clinical scales, namely the Movement Disorder Society-Unified Parkinson’s Disease Rating Scale (MDS-UPDRS). Despite its reliability, the scale is bounded by a 5-point scale that limits its ability to track subtle changes in disease progression and is prone to subjective interpretations. We aimed to develop an automated system to objectively quantify motor symptoms in PD using Machine Learning (ML) algorithms to analyze videos and capture nuanced features of disease progression. Methods: We analyzed videos of the Finger Tapping test, a component of the MDS-UPDRS, from 24 healthy controls and 66 PD patients using ML algorithms for hand pose estimation. We computed multiple movement features related to bradykinesia from videos and employed a novel tiered classification approach to predict disease severity that employed different features according to severity. We compared our video-based disease severity prediction approach against other approaches recently introduced in the literature. Results: Traditional kinematics features such as amplitude and velocity changed linearly with disease severity, while other non-traditional features displayed non-linear trends. The proposed disease severity prediction approach demonstrated superior accuracy in detecting PD and distinguishing between different levels of disease severity when compared to existing approaches.

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“…In other assessments, gaps in the measurement metric have been addressed by the addition of items 30 and that could be done in the case of the FTHUE. Perhaps new items could be added to reflect more current real-world tasks, such as mobile phone use.…”

Section: Discussionmentioning

confidence: 99%

Functional Test of the Hemiparetic Upper Extremity: A Rasch Analysis With Theoretical Implications

Rowe

Winstein

Wolf

et al. 2017

Archives of Physical Medicine and Rehabilitation

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Objective To investigate the measurement properties of the Functional Test of the Hemiparetic Upper Extremity (FTHUE) and examine how its score may or may not inform design of a rehabilitation program. Design The FTHUE was recently used in the Interdisciplinary Comprehensive Arm Rehabilitation Evaluation Stroke (ICARE) Randomized Clinical Trial (RCT). This circumstance provided the opportunity to examine the psychometric properties of the FTHUE as it pertains to contemporary post-stroke rehabilitation and recovery models. Setting Outpatient rehabilitation clinic Participants 109 participants, aged 61.2 ± 13.5 years and 46 ± 20.3 days post-stroke with resultant hemiparesis in the upper extremity Interventions Not applicable Main Outcome Measures Dimensionality was examined with confirmatory factor analysis (CFA) and person and item measures were derived with Rasch item response analysis. Therapists’ notes were also reviewed. Results The CFA results support unidimensionality and 16/17 items fit the Rasch model. The Rasch person separation (2.17) and item separation (4.50) indices, ability strata (3.22), person reliability (0.82) and item reliability (0.95) indicate good measurement properties. Item difficulties ranked from −6.46 to 3.43 logits, however there was a substantial ceiling effect of person measures. Post-hoc examination of therapists’ written observations indicated that the scoring criteria are not sensitive to the movement strategy used for task completion. Conclusions The FTHUE’s item difficulty hierarchy indicated that scores adequately distinguished the ability to perform simple vs complex motor movements of functional tasks. However, the FTHUE scoring method did not allow inclusion of the type of movement strategy used to accomplish task items. Therefore, we suggest modifications to the FTHUE that would allow it to be used for collaborative treatment planning and align well with more contemporary perspectives on treatment theory.

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Rasch Analysis of a New Hierarchical Scoring System for Evaluating Hand Function on the Motor Assessment Scale for Stroke

Cited by 8 publications

References 34 publications

Construct validity of the Eating Assessment Tool (EAT-10)

Construct validity of the Eating Assessment Tool (EAT-10)

Characterizing Disease Progression in Parkinson’s Disease from Videos of the Finger Tapping Test

Functional Test of the Hemiparetic Upper Extremity: A Rasch Analysis With Theoretical Implications

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