2018
DOI: 10.1097/npt.0000000000000215
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White Paper: Movement System Diagnoses in Neurologic Physical Therapy

Abstract: The Task Force proposes that diagnostic classifications of movement system problems need to be developed, tested, and validated with the long-range goal to reach consensus on and adoption of a movement system diagnostic framework for clients with neurologic injury or disease states.Video Abstract available for more insights from the authors (see Video, Supplemental Digital Content 1, available at: http://links.lww.com/JNPT/A198).

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Cited by 35 publications
(11 citation statements)
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“…The measures identified as candidates from each construct were compiled into a list of potential core outcome measures and reviewed for overall time requirements, ability to capture functional levels and be used in all settings, possible overlap of constructs, and ability to capture the core standardized tasks recommended in the movement system diagnosis approach. 63 This resulted in identifying a final recommended set of core outcome measures (see Table 3 ) that was unanimously agreed to on May 29, 2020. A description of domains measured by each measure, scoring, and equipment, space, and time requirements is provided in Table 4 .…”
Section: Selection Of the Core Outcome Measuresmentioning
confidence: 99%
“…The measures identified as candidates from each construct were compiled into a list of potential core outcome measures and reviewed for overall time requirements, ability to capture functional levels and be used in all settings, possible overlap of constructs, and ability to capture the core standardized tasks recommended in the movement system diagnosis approach. 63 This resulted in identifying a final recommended set of core outcome measures (see Table 3 ) that was unanimously agreed to on May 29, 2020. A description of domains measured by each measure, scoring, and equipment, space, and time requirements is provided in Table 4 .…”
Section: Selection Of the Core Outcome Measuresmentioning
confidence: 99%
“…It requires that students incorporate knowledge of anatomy, motor control, and frameworks of normal movement to analyze a task to incorporate into their patient examination and make clinical decisions. 2 For novice learners, performing the skill efficiently becomes difficult due to the cognitive load required to integrate these multiple sources of new or developing information. Breaking up the skill may relieve cognitive load.…”
Section: Discussionmentioning
confidence: 99%
“…However, cost-optimized versions of full-scale devices stand to lose some of their most clinically valuable and game-changing attributes, namely sensors capable of providing high resolution measurements of movement dysfunction. With the field of neurorehabilitation moving toward consensus on motor control diagnoses [113], the field of rehabilitation robotics must retain high resolution measurement and position it as a critical attribute for evaluating movement dysfunction to avoid missing widespread adoption in an evolving neurorehabilitation environment. Increasing access of devices without compromising its greatest strengths remains a challenge.…”
Section: Robotic Device In Neurorehabilitationmentioning
confidence: 99%
“…This paradigm shift in the application of rehabilitation robotics may serve to address a looming challenge in conventional stroke rehabilitation that postulates functional improvements to result from enhanced compensatory strategies in lieu of restoration of impairment [119]. In regards to evaluation and diagnosis, this paradigm shift would also position the field of rehabilitation robotics to be more in line with the evolving field of neurorehabilitation that seeks to link explicit movement observations during task analysis to the particular stage of movement contributing to the overall motor system diagnosis [113].…”
Section: Robotic Device In Neurorehabilitationmentioning
confidence: 99%