Rasch analysis of the upper-limb subscale of the stroke rehabilitation assessment of movement (STREAM) tool in an acute stroke cohort Rasch analysis of the upper-limb subscale of the STREAM tool in an acute stroke population

BACKGROUND: Stroke is a leading cause of disability worldwide. The most common impairment resulting from stroke is upper-limb weakness.

OBJECTIVES: To determine the usefulness and psychometric validity of the upper-limb subscale of the STREAM in an acute stroke population.

METHODS: Rasch Analysis, including unidimensionality assumption testing, determining model fit, and analysis of: reliability, residual correlations, and differential item functioning.

RESULTS: 125 individuals were assessed using the upper-limb subscale of the Stroke Rehabilitation Assessment of Movement (STREAM) tool. Rasch analysis suggests the STREAM is a unidimensional measure. However, when scored using the originally proposed method (0-2), or using the response pattern (0-5) neither variant fit the Rasch model (p < 0.05). Although, the reliability was good (Person-Separation Index - 0.847 and 0.903, respectively). Correcting for the disordered thresholds, and thereby producing the new scoring pattern, led to substantial improvement in the overall fit (chi-square probability of fit - 22%), however, the reliability was slightly reduced (PSI - 0.806).

CONCLUSIONS: The study proposes a new scoring method for the upper-limb subscale of the STREAM outcome measure in the acute stroke population.

Medienart:

E-Artikel

Erscheinungsjahr:

2019

Erschienen:

2019

Enthalten in:

Zur Gesamtaufnahme - volume:26

Enthalten in:

Topics in stroke rehabilitation - 26(2019), 1 vom: 04. Jan., Seite 24-31

Sprache:

Englisch

Beteiligte Personen:

Mateen, Bilal A [VerfasserIn]
Baker, Karen [VerfasserIn]
Playford, E Diane [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Neurological rehabilitation
Patient outcome assessment
Psychometrics
Research Support, Non-U.S. Gov't
Stroke
Upper extremity

Anmerkungen:

Date Completed 29.03.2019

Date Revised 10.12.2019

published: Print-Electronic

Citation Status MEDLINE

doi:

10.1080/10749357.2018.1517510

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM289169410