Thesis

95 How to identify fallers and non-fallers in people with HSP order to examine predictive efficacy of the assessed measures. We did not ask about perceived risk of falling to assess whether fallers were conscious of their own susceptibility of falling. Lastly, we did not include a validation cohort to confirm our findings. Our results show that the ABC-6 and Mini-BEST are useful clinical measures to identify potential fallers among people with HSP. Our findings also provide insight in the potential usefulness of the applied outcome measures for trials investigating the effectiveness of fall-prevention interventions. As a next step, future studies could evaluate the potential of biomechanical measures in a free-living environment that encompasses the challenging circumstances during which falling usually occurs. Recently, it has been reported that stride characteristics in people with HSP can effectively be evaluated by using wearable inertial gait sensors in a controlled clinical environment and that the so-obtained data are associated with disease severity and progression. 34 Yet, it remains to be investigated whether real-life gait assessment using inertial gait sensors is able to improve fall risk assessment and select targeted interventions. 6

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