Measuring fatigue and perceived exertion in rehabilitation
2016
Background: Fatigue post stroke is a major issue, distressing to individuals and without any evidence based
treatment. Impacts of fatigue on the amount of exertion possible in rehabilitation is not known, and
this is problematic when rehabilitation requires high levels of activity to drive neuroplasticity. Aim: To validate an electronic tool to measure fatigue and exertion in people undergoing rehabilitation
and describe the relationship between fatigue and exertion in this population. Methods: Thirty-three adults (78.1±10.8 years) undergoing rehabilitation participated in a randomised
crossover trial measuring fatigue and exertion after a one-hour physiotherapist supervised exercise
session. Participants completed a visual analogue scale for fatigue and BORG exertion on paper and
electronically (using an iPad) in a randomised order. Validity for fatigue and exertion was measured
using Bland Altman (limits of agreement and bias). Regressions analysis described relationships and
Odds Ratio’s calculated. Results:
For fatigue there was a small negative bias (± SD of bias) towards the iPad (-3.02 ± 6.57) with limits
of agreement between -15.90 and 9.86. For exertion there was a small bias (± SD of bias) towards
the iPad (0.03 ± 1.29) with limits of agreement between -2.49 and 2.55. No significant differences
between iPad and paper for regression analysis. Although people with higher levels of fatigue
reported higher levels of perceived exertion (OR 2.1; 95%CI 0.78 to 5.96), this result was not
statistically significant (p=0.14). Conclusion:
Using electronic data collection tools to measure fatigue and exertion in clinical populations is valid.
Further research to investigate the relationship between fatigue and perceived exertion is
warranted.
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