Literature DB >> 22333921

Advancing measurement of locomotor rehabilitation outcomes to optimize interventions and differentiate between recovery versus compensation.

Mark G Bowden1, Andrea L Behrman, Michelle Woodbury, Chris M Gregory, Craig A Velozo, Steven A Kautz.   

Abstract

Progress in locomotor rehabilitation has created an increasing need to understand the factors that contribute to motor behavior, to determine whether these factors are modifiable, and if so, to determine how best to modify them in a way that promotes improved function. Currently available clinical measures do not have the capacity to distinguish between neuromotor recovery and compensation for impaired underlying body structure/functions. This Special Interest article examines the state of outcomes measurement in physical therapy in regard to locomotor rehabilitation, and suggests approaches that may improve assessment of recovery and clinical decision-making capabilities. We examine historical approaches to measurement of locomotor rehabilitation outcomes, including rating scales, timed movement tasks, and laboratory-based outcome measures, and we discuss the emerging use of portable technology to assess walking in a free-living environment. The ability to accurately measure outcomes of rehabilitation, both in and away from the clinical/laboratory setting, allows assessment of skill acquisition, retention, and long-term carryover in a variety of environments. Accurate measurement allows behavioral changes to be observed, and assessments to be made, regarding an individual's ability to adapt during interventions and to incorporate new skills into real-world behaviors. The result of such an approach to assessment may be that interventions truly translate from clinical/laboratory to real-world environments. Future locomotor measurement tools must be based on a theoretical framework that can guide their use to accurately quantify treatment effects and provide a basis upon which to develop and refine therapeutic interventions.

Entities:  

Mesh:

Year:  2012        PMID: 22333921      PMCID: PMC5426854          DOI: 10.1097/NPT.0b013e3182472cf6

Source DB:  PubMed          Journal:  J Neurol Phys Ther        ISSN: 1557-0576            Impact factor:   3.649


  51 in total

1.  Increases in corticospinal tract function by treadmill training after incomplete spinal cord injury.

Authors:  Sarah L Thomas; Monica A Gorassini
Journal:  J Neurophysiol       Date:  2005-07-06       Impact factor: 2.714

Review 2.  Rehabilitation of gait speed after stroke: a critical review of intervention approaches.

Authors:  Ruth Dickstein
Journal:  Neurorehabil Neural Repair       Date:  2008 Nov-Dec       Impact factor: 3.919

3.  Locomotor training progression and outcomes after incomplete spinal cord injury.

Authors:  Andrea L Behrman; Anna R Lawless-Dixon; Sandra B Davis; Mark G Bowden; Preeti Nair; Chetan Phadke; Elizabeth M Hannold; Prudence Plummer; Susan J Harkema
Journal:  Phys Ther       Date:  2005-12

Review 4.  Neuroplasticity after spinal cord injury and training: an emerging paradigm shift in rehabilitation and walking recovery.

Authors:  Andrea L Behrman; Mark G Bowden; Preeti M Nair
Journal:  Phys Ther       Date:  2006-10

5.  Microprocessor-based ambulatory activity monitoring in stroke patients.

Authors:  Richard F Macko; Elaina Haeuber; Marianne Shaughnessy; Kim L Coleman; David A Boone; Gerald V Smith; Kenneth H Silver
Journal:  Med Sci Sports Exerc       Date:  2002-03       Impact factor: 5.411

6.  Muscle strengthening and physical conditioning to reduce impairment and disability in chronic stroke survivors.

Authors:  L F Teixeira-Salmela; S J Olney; S Nadeau; B Brouwer
Journal:  Arch Phys Med Rehabil       Date:  1999-10       Impact factor: 3.966

7.  Gait symmetry and regularity in transfemoral amputees assessed by trunk accelerations.

Authors:  Andrea Tura; Michele Raggi; Laura Rocchi; Andrea G Cutti; Lorenzo Chiari
Journal:  J Neuroeng Rehabil       Date:  2010-01-19       Impact factor: 4.262

8.  Classification of walking handicap in the stroke population.

Authors:  J Perry; M Garrett; J K Gronley; S J Mulroy
Journal:  Stroke       Date:  1995-06       Impact factor: 7.914

9.  Improvements in speed-based gait classifications are meaningful.

Authors:  Arlene Schmid; Pamela W Duncan; Stephanie Studenski; Sue Min Lai; Lorie Richards; Subashan Perera; Samuel S Wu
Journal:  Stroke       Date:  2007-05-17       Impact factor: 7.914

10.  Protocol for the Locomotor Experience Applied Post-stroke (LEAPS) trial: a randomized controlled trial.

Authors:  Pamela W Duncan; Katherine J Sullivan; Andrea L Behrman; Stanley P Azen; Samuel S Wu; Stephen E Nadeau; Bruce H Dobkin; Dorian K Rose; Julie K Tilson
Journal:  BMC Neurol       Date:  2007-11-08       Impact factor: 2.474

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  13 in total

Review 1.  Rehabilitating walking speed poststroke with treadmill-based interventions: a systematic review of randomized controlled trials.

Authors:  Charalambos C Charalambous; Heather Shaw Bonilha; Steven A Kautz; Chris M Gregory; Mark G Bowden
Journal:  Neurorehabil Neural Repair       Date:  2013-06-13       Impact factor: 3.919

Review 2.  A systematic review of mechanisms of gait speed change post-stroke. Part 2: exercise capacity, muscle activation, kinetics, and kinematics.

Authors:  Elizabeth C Wonsetler; Mark G Bowden
Journal:  Top Stroke Rehabil       Date:  2017-02-20       Impact factor: 2.119

Review 3.  A systematic review of mechanisms of gait speed change post-stroke. Part 1: spatiotemporal parameters and asymmetry ratios.

Authors:  Elizabeth C Wonsetler; Mark G Bowden
Journal:  Top Stroke Rehabil       Date:  2017-02-21       Impact factor: 2.119

4.  The Presence of a Paretic Propulsion Reserve During Gait in Individuals Following Stroke.

Authors:  Michael D Lewek; Cristina Raiti; Amanda Doty
Journal:  Neurorehabil Neural Repair       Date:  2018-12       Impact factor: 3.919

5.  Contribution of Paretic and Nonparetic Limb Peak Propulsive Forces to Changes in Walking Speed in Individuals Poststroke.

Authors:  HaoYuan Hsiao; Louis N Awad; Jacqueline A Palmer; Jill S Higginson; Stuart A Binder-Macleod
Journal:  Neurorehabil Neural Repair       Date:  2015-12-31       Impact factor: 3.919

6.  Reducing The Cost of Transport and Increasing Walking Distance After Stroke: A Randomized Controlled Trial on Fast Locomotor Training Combined With Functional Electrical Stimulation.

Authors:  Louis N Awad; Darcy S Reisman; Ryan T Pohlig; Stuart A Binder-Macleod
Journal:  Neurorehabil Neural Repair       Date:  2015-11-30       Impact factor: 3.919

7.  Paretic Propulsion and Trailing Limb Angle Are Key Determinants of Long-Distance Walking Function After Stroke.

Authors:  Louis N Awad; Stuart A Binder-Macleod; Ryan T Pohlig; Darcy S Reisman
Journal:  Neurorehabil Neural Repair       Date:  2014-11-10       Impact factor: 3.919

Review 8.  Post-Stroke Walking Behaviors Consistent with Altered Ground Reaction Force Direction Control Advise New Approaches to Research and Therapy.

Authors:  Wendy L Boehm; Kreg G Gruben
Journal:  Transl Stroke Res       Date:  2015-12-07       Impact factor: 6.829

9.  Targeting paretic propulsion to improve poststroke walking function: a preliminary study.

Authors:  Louis N Awad; Darcy S Reisman; Trisha M Kesar; Stuart A Binder-Macleod
Journal:  Arch Phys Med Rehabil       Date:  2013-12-28       Impact factor: 3.966

10.  Identifying candidates for targeted gait rehabilitation after stroke: better prediction through biomechanics-informed characterization.

Authors:  Louis N Awad; Darcy S Reisman; Ryan T Pohlig; Stuart A Binder-Macleod
Journal:  J Neuroeng Rehabil       Date:  2016-09-23       Impact factor: 4.262

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