High Level Mobility Training in Ambulatory Patients with Acquired Non-Progressive Central Neurological Injury: a Feasibility Study

References

• Hornby TG, Reisman D, Ward I, Scheets P, Miller A, Haddad D. Clinical practice guideline to improve locomotor function following chronic stroke, incomplete spinal cord injury, and brain injury. J Neurol Phys Ther. 2020;44:49–100.
   PubMed Web of Science ®Google Scholar
• Stroke Facts. March 17, 2021 [cited 2021 April 19]; Available from: cdc.gov/stroke/facts.htm.
   Google Scholar
• TBI: Get the Facts March 11, 2019 [cited 2021 April 20]; Available from: https://www.cdc.gov/traumaticbraininjury/get_the_facts.html.
   Google Scholar
• Spencer T, Aldous S, Williams G, Fahey M. Systematic review of high-level mobility training in people with a neurological impairment. Brain Inj. 2018;32:403–15.
   PubMed Web of Science ®Google Scholar
• Williams GP, and Schache AG. Evaluation of a conceptual framework for retraining high-level mobility following traumatic brain injury: two case reports. J Head Trauma Rehabil. 2010;25(3):164–72.
   PubMed Web of Science ®Google Scholar
• Moriello G, Frear M, Seaburg K. The recovery of running ability in an adolescent male after traumatic brain injury: a case study. J Neurol Phys Ther. 2009;33(2):111–20.
   PubMed Web of Science ®Google Scholar
• Williams GP, Morris ME. High-level mobility outcomes following acquired brain injury: a preliminary evaluation. Brain Inj. 2009;23(4):307–12.
   PubMed Web of Science ®Google Scholar
• Learmonth YC, and Motl RW. Important considerations for feasibility studies in physical activity research involving persons with multiple sclerosis: a scoping systematic review and case study. Vol. 4. Pilot Feasibility Stud; 2018 doi:https://doi.org/10.1186/s40814-017-0145-8.
   Google Scholar
• Frequently Asked Questions about the Locomotion - Chronic CVA, SCI, TBI Clincal Practice Guideline. [cited 2021 April 25, 2021]; Available from: https://neuropt.org/docs/default-source/cpgs/locomotor/faq-cpg-lt-final101e38a5390366a68a96ff00001fc240.pdf?sfvrsn=cc1d5e43_0.
   Google Scholar
• Boyne P, Dunning K, Carl D, Gerson M, Khoury J, Rockwell B, Keeton G, Westover J, Williams A, McCarthy M, Kissela B. High-intensity interval training and moderate-intensity continuous training in ambulatory chronic stroke: feasibility study. Phys Ther. 2016;96:1533–44.
   PubMed Web of Science ®Google Scholar
• Hornby TG, Straube D, Kinnaird C, Holleran C, Echauz A, Rodriguez K, Wagner E, Narducci E. Importance of specificity, amount, and intensity of locomotor training to improve ambulatory function in patients poststroke. Top Stroke Rehabil. 2011;18:293–307.
   PubMed Web of Science ®Google Scholar
• Hornby TG, Holleran C, Hennessy P, Leddy A, Connolly M, Camardo J, Woodward J, Mahtani G, Lovell L, Roth E. Variable intensive early walking poststroke (VIEWS): a randomized controlled trial. Neurorehabil Neural Repair. 2016;30:440–50.
   PubMed Web of Science ®Google Scholar
• Schache AG, Dorn T, Williams G, Brown N, Pandy M. Lower-limb muscular strategies for increasing running speed. J Orthop Sports Phys Ther. 2014;44:813–24.
   PubMed Web of Science ®Google Scholar
• Wilk B MA, Sokunthea N. An evidence based approach to the orthopaedic physical therapy: management of functional running injuries. Orthopaedic Practice. 2008;22(4):214–17.
   Google Scholar
• Williams GP, Robertson V, Greenwood K, Goldie P, Morris E. The high-level mobility assessment tool (HiMAT) for traumatic brain injury. Part 2: content validity and discriminability. Brain Inj. 2005;19:833–43.
   PubMed Web of Science ®Google Scholar
• Williams G, Robertson V, Greenwood K, Goldie P, Morris E. The high-level mobility assessment tool (HiMAT) for traumatic brain injury. Part 1: item generation. Brain Inj. 2005;19:925–32.
   PubMed Web of Science ®Google Scholar
• Holleran CL, Rodriguez K, Echauz A, Leech A, Hornby G. Potential contributions of training intensity on locomotor performance in individuals with chronic stroke. J Neurol Phys Ther. 2015;39:95–102.
   PubMed Web of Science ®Google Scholar
• Numeric Pain Rating Scale. January 17, 2013 [cited 2020 April 24]; Available from: https://www.sralab.org/rehabilitation-measures/numeric-pain-rating-scale.
   Google Scholar
• Tseng, E. High-level mobility assessment tool. January 17 2013 [cited 2020 April 23]; Available from https://www.sralab.org/rehabilitation-measures/high-level-mobility-assessment-tool
   Google Scholar
• 10 Meter Walk Test. January 22, 2014 [cited 2021 January 16]; Available from: https://www.sralab.org/rehabilitation-measures/10-meter-walk-test.
   Google Scholar
• 6 Minute Walk Test. April 26, 2013 [cited 2021 January 16]; Available from: https://www.sralab.org/rehabilitation-measures/6-minute-walk-test.
   Google Scholar
• Neuro-QOL. August 1, 2019 [cited 2021 February 3]; Available from: https://www.sralab.org/rehabilitation-measures/neuro-qol.
   Google Scholar
• Williams G, Robertson V, Greenwood K, Goldie P, Morris E. The concurrent validity and responsiveness of the high-level mobility assessment tool for measuring the mobility limitations of people with traumatic brain injury. Arch Phys Med Rehabil. 2006;87:437–42.
   PubMed Web of Science ®Google Scholar
• Williams GP, Greenwood K, Robertson V, Goldie P, Morris E. High-level mobility assessment tool (HiMAT): interrater reliability, retest reliability, and internal consistency. Phys Ther. 2006;86:395–400.
   PubMed Web of Science ®Google Scholar
• Moore JL, Blankshain K, Kaplan S, O‘Dwyer L, Sullivan J. A core set of outcome measures for adults with neurologic conditions undergoing rehabilitation: a CLINICAL PRACTICE GUIDELINE. J Neurol Phys Ther. 2018;42:174–220.
   PubMed Web of Science ®Google Scholar
• Cella D, Lai J, Nowinski C, Victorson D, Peterman A, Miller D, Bethoux F, Heinemann A, Rubin S, Cavazos J, et al. Neuro-QOL: brief measures of health-related quality of life for clinical research in neurology. Neurology. 2012;78:1860–67.
   PubMed Web of Science ®Google Scholar
• Services UDOHAH, Editor. Common terminology criteria for adverse events. Bethesda: NIH; 2009.
   Google Scholar
• Cohen J. Statistical power analysis for the behavioral sciences. 2nd Edition ed. New York: Erlbaum; 1988.
   Google Scholar
• Straube DD, Holleran C, Kinnaird C, Leddy A, Hennessy P, Hornby G. Effects of dynamic stepping training on nonlocomotor tasks in individuals poststroke. Phys Ther. 2014;94:921–33.
   PubMed Web of Science ®Google Scholar
• Globas C, Becker C, Cerny J, Lam J, Lindemann U, Forrester L, Macko R, Luft A. Chronic stroke survivors benefit from high-intensity aerobic treadmill exercise: a randomized control trial. Neurorehabil Neural Repair. 2012;26(1):85–95.
   PubMed Web of Science ®Google Scholar
• Kimberley TJ, Novak I, Boyd L, Fowler E, Larsen D. Stepping up to rethink the future of rehabilitation: IV STEP considerations and inspirations. J Neurol Phys Ther. 2017;41 Suppl 3:S63–s72.
   PubMed Web of Science ®Google Scholar
• Bowden MG, Balasubramanian C, Behrman A, Kautz S. Validation of a speed-based classification system using quantitative measures of walking performance poststroke. Neurorehabil Neural Repair. 2008;22:672–75.
   PubMed Web of Science ®Google Scholar
• Holleran CL, Bland M, Reisman D, Ellis T, Earhart G, Lang C. Day-to-day variability of walking performance measures in individuals poststroke and individuals with Parkinson disease. J Neurol Phys Ther. 2020;44:241–47.
   PubMed Web of Science ®Google Scholar
• Slade SC, Dionne C, Underwood M, Buchbinder R. Consensus on Exercise Reporting Template (CERT): explanation and elaboration statement. Br J Sports Med. 2016;50:1428–37.
   PubMed Web of Science ®Google Scholar
• Higgins JPT, Matthew J Page JS, Elbers RG, and Sterne JAC. Chapter 8: Assessing risk of bias in a randomized trial. Cochrane handbook for systematic reviews of interventions version 6.1. Vol. 2021. Cochrane; 2020.
   Google Scholar