Journal
TOPICS IN STROKE REHABILITATION
Volume 27, Issue 4, Pages 251-261Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/10749357.2019.1691815
Keywords
Stroke; walk test; gait speed; walking capacity; reliability; measurement error; validity
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Funding
- Canadian Institutes of Health Research
- Heart & Stroke Foundation
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Background: Stroke-specific protocols for the 10-meter and 6-minute walk tests that include instructions for people with aphasia, accessible walkway lengths, and allow provision of assistance to walk are needed to facilitate uptake in hospital settings. Objectives: To estimate the test-retest reliability, measurement error, and construct validity of stroke-specific protocols for the 10-meter walk test (10mWT), and 6-minute walk test conducted using a 15-meter walkway (6MWT(15m)) and 30-meter walkway (6MWT(30m)), in people post-stroke. Methods: A quantitative, cross-sectional study involving ambulatory people post-stroke was conducted. Results: Data were collected from 21 and 20 participants at baseline and retest, respectively, 1-3 days apart. Mean age was 61 years, median time post-stroke was 134 days, and 90% had experienced an ischemic stroke. Performance on the 10mWT, 6MWT(15m), and 6MWT(30m) across sessions yielded intraclass correlation coefficient (ICC2, 1) estimates of test-retest reliability of 0.83, 0.97, 0.95, respectively, and minimal detectable change values at the 95% confidence level of 0.40m/s, 44.0m, and 67.5m, respectively. Pearson correlation coefficients were 0.80-0.95 (p < .001) between results on all three walk tests and 0.27-0.48 (p < .25) between walk test results and strength subscale scores on the Stroke Impact Scale. Conclusions: Findings showed excellent test-retest reliability; measurement error values similar to current literature; and support for construct validity of the 10mWT, 6MWT(15m), and 6MWT(30m). Due to the shorter walkway, the 6MWT(15m) may be more feasible to implement than the 6MWT(30m) in hospital settings. A larger sample with more severe deficits is required to improve generalizability.
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