Reliability and minimum detectable change of the gait profile score for post-stroke patients

2016 ◽  
Vol 49 ◽  
pp. 382-387 ◽  
Author(s):  
Gisele Francini Devetak ◽  
Suzane Ketlyn Martello ◽  
Juliana Carla de Almeida ◽  
Katren Pedroso Correa ◽  
Dielise Debona Iucksch ◽  
...  
Keyword(s):  
Detectable Change ◽  
Stroke Patients ◽  
Post Stroke ◽  
Minimum Detectable Change ◽  
Profile Score

Reliability and Minimum Detectable Change of the Gait Deviation Index (GDI) in post-stroke patients

2017 ◽  
Vol 53 ◽  
pp. 29-34 ◽  
Author(s):  
Katren Pedroso Correa ◽  
Gisele Francini Devetak ◽  
Suzane Ketlyn Martello ◽  
Juliana Carla de Almeida ◽  
Ana Carolina Pauleto ◽  
...  
Keyword(s):  
Detectable Change ◽  
Stroke Patients ◽  
Post Stroke ◽  
Minimum Detectable Change ◽  
Deviation Index ◽  
Gait Deviation Index

scholarly journals Relationship between gait profile score and clinical assessments of gait in post-stroke patients

2021 ◽  
pp. 0
Author(s):  
M Bigoni ◽  
V Cimolin ◽  
L Vismara ◽  
A Tarantino ◽  
D Clerici ◽  
...  
Keyword(s):  
Stroke Patients ◽  
Clinical Assessments ◽  
Post Stroke ◽  
Profile Score

Reliability of the portable gait rhythmogram in post-stroke patients

2020 ◽  
Vol 31 (6) ◽  
pp. 329-338
Author(s):  
Ryuji Miyata ◽  
Shuji Matsumoto ◽  
Seiji Miura ◽  
Kentaro Kawamura ◽  
Tomohiro Uema ◽  
...  
Keyword(s):  
Gait Analysis ◽  
Intraclass Correlation ◽  
Human Locomotion ◽  
Maximum Speed ◽  
Systematic Bias ◽  
Stroke Patients ◽  
Rater Reliability ◽  
Post Stroke ◽  
Minimum Detectable Change ◽  
Time Point

BACKGROUND: Gait analysis, such as portable gait rhythmogram (PGR), provides objective information that helps in the quantitative evaluation of human locomotion. OBJECTIVE: The purpose of this study was to assess the reliability of PGR in post-stroke patients. METHODS: Two raters (A and B) examined 48 post-stroke patients. To assess intra-rater reliability, rater A tested subjects on three separate occasions (Days 1, 2, and 3). To assess inter-rater reliability, raters A and B independently tested participants on the same occasion (Day 3). RESULTS: There was no significant systematic bias between test occasions or raters. Intraclass correlation coefficient values were 0.93–0.97 for intra-rater reliability at both the comfortable speed and maximum speed, and 0.97–0.98 (comfortable speed) and 0.97–0.99 (maximum speed) for inter-rater reliability. The standard error was 1.25–1.49 (comfortable speed) and 1.62–1.77 (maximum speed) for intra-rater investigation, and 1.04–1.32 (comfortable speed) and 0.91–1.26 (maximum speed) for inter-rater investigation. At the 90% confidence level, the minimum detectable change ranged from 2.9–4.1%, and the error of an individual’s score at a given time point ranged from ±2.1–2.9%. CONCLUSIONS: Based on this excellent reliability of the PGR in post-stroke patients, it can be recommended as a simple test of gait analysis in this population.

KUALITAS HIDUP PASIEN STROKE DI POLIKLINIK RAWAT JALAN RUMAH SAKIT SWASTA YOGYAKARTA

2019 ◽  
Vol 7 (3) ◽  
pp. 232-237
Author(s):  
Hana Larasati ◽  
Theresia Titin Marlina
Keyword(s):  
Quality Of Life ◽  
Social Relations ◽  
Hemorrhagic Stroke ◽  
Poor Quality ◽  
Social Dimension ◽  
Stroke Patients ◽  
Sampling System ◽  
Post Stroke ◽  
Psychological Dimension

Background: stroke is a disorder of nervous system function that occurs suddenly and is caused by brain bleeding disorders that can affect the quality of life physical dimensions, social dimensions, psychological dimensions, environmental dimensions. Based on the result of Lumbu study (2015) the number of samples were 71 people collected data using the (WHOQOL-BREF). There were 56 people (78,9%) had the poor quality of life of post stroke. The mean of post-stroke quality of life domain was physical domain (45,27%), psychological domain (49,87%), social relations domain (48,15%) and environmental domain (50.01%). Objective: the purpose of the study was know the quality of life of the stroke patients in Outpatient Polyclinic of Private Hospital in Yogyakarta. Methods: used descriptive quantitative by using questionnaire test of purposive sampling system based on patients who have been affected of ischemic or hemorrhagic stroke before, number 30 respondents. Result: quality of life of stroke patient of medium physical dimension (67%), psychological dimension (71%), social dimension (67%), dimension good environment (63%). Conclusion: the quality of life of stroke patients of physical dimension, psychological dimension, and moderate social dimension, while the quality of life of stroke patients were good environmental dimension.   Keywords: Hemorrhagic stroke, ischemic stroke, quality of life

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