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Validation of stroke-specific protocols for the 10-meter walk test and 6-minute walk test conducted using 15-meter and 30-meter walkways

132

Citations

44

References

2019

Year

Abstract

<b>Background</b>: 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.<b>Objectives</b>: 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<sub>15m</sub>) and 30-meter walkway (6MWT<sub>30m</sub>), in people post-stroke.<b>Methods:</b> A quantitative, cross-sectional study involving ambulatory people post-stroke was conducted.<b>Results</b>: 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<sub>15m</sub>, and 6MWT<sub>30m</sub> across sessions yielded intraclass correlation coefficient (ICC<sub>2, 1</sub>) 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 (<i>p</i> < .001) between results on all three walk tests and 0.27-0.48 (<i>p</i> < .25) between walk test results and strength subscale scores on the Stroke Impact Scale.<b>Conclusions</b>: Findings showed excellent test-retest reliability; measurement error values similar to current literature; and support for construct validity of the 10mWT, 6MWT<sub>15m</sub>, and 6MWT<sub>30m</sub>. Due to the shorter walkway, the 6MWT<sub>15m</sub> may be more feasible to implement than the 6MWT<sub>30m</sub> in hospital settings. A larger sample with more severe deficits is required to improve generalizability.

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