Algorithm for selection of balance assessment tools in post-stroke patients. Issue 3 (September 2019)

• Record Type: Journal Article
• Authors: Goljar, Nika; Rudolf, Marko; Bizovičar, Nataša
• Is Part Of: International journal of rehabilitation research. Volume 42:Issue 3(2019)
• Publication Date: 2019-09
• Subjects: algorithm -- balance assessment -- balance assessment tools -- rehabilitation -- stroke; Rehabilitation -- Periodicals; Rehabilitation -- periodicals; Disabled Persons -- periodicals; 617.03
• DOI: 10.1097/MRR.0000000000000360
• Languages: English
• ISSNs: 0342-5282

Abstract

Abstract : The aim of the study was to design an algorithm of selecting the balance assessment tool in patients after stroke, which could be used in a subacute rehabilitation setting. A retrospective study was carried out to analyse results of standardized balance measurements in three groups of stroke patients classified by Functional Ambulation Category (FAC) (FAC 1 or 2, non-functional ambulation; FAC 3 or 4, ambulatory dependent; FAC 5 or 6, ambulatory independent). Balance functions were evaluated in 62 out of 70 patients (88.6%) at admission and discharge with at least with one standardized assessment tool. In 21 patients (30%), two or more assessment tools were used. From admission to discharge significant changes in balance functions in the non-functional ambulatory group were detected by Postural Assessment Scale for Stroke (PASS) ( P = 0.003), in the ambulatory dependent group with PASS ( P = 0.025) and Berg Balance Scale (BBS) ( P = 0.009) and in the ambulatory independent group with the Timed Up and Go Test ( P = 0.002) and Functional Gait Assessment ( P = 0.029). In a post-stroke rehabilitation most commonly used BBS and PASS are sensitive enough in non-functional ambulatory and ambulatory dependent patients, though they do not reflect the overall balance function. In ambulatory independent patients, significant changes in balance functions can be detected only with the assessment tools that include the measurements of dynamic balance. Based on the findings, the algorithm for the selection of balance assessment tools in post-stroke rehabilitation setting was formulated according to FAC.