Standardized measurement of balance and mobility post-stroke: Consensus-based core recommendations from the third Stroke Recovery and Rehabilitation Roundtable

Author:

Van Criekinge Tamaya1ORCID,Heremans Charlotte1,Burridge Jane2,Deutsch Judith E3,Hammerbeck Ulrike4,Hollands Kristen5,Karthikbabu Suruliraj6,Mehrholz Jan7,Moore Jennifer L89,Salbach Nancy M1011ORCID,Schröder Jonas12,Veerbeek Janne M13,Weerdesteyn Vivian1415,Borschmann Karen16,Churilov Leonid1617,Verheyden Geert1,Kwakkel Gert181920

Affiliation:

1. Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium

2. School of Health Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK

3. RiVERS Lab, Department of Rehabilitation and Movement Sciences, School of Health Professions, Rutgers University, Newark, NJ, USA

4. School of Sport and Health Sciences, University of Brighton, Brighton, UK

5. School of Health Sciences, University of Salford, Salford, UK

6. KMCH College of Physiotherapy, Kovai Medical Center Research and Educational Trust and The Tamil Nadu Dr. M.G.R. Medical University, Coimbatore, India

7. Department of Public Health, Dresden Medical School, Technical University Dresden, Dresden, Germany

8. Institute for Knowledge Translation, Carmel, IN, USA

9. Southeastern Norway Regional Center for Knowledge Translation in Rehabilitation, Oslo, Norway

10. Department of Physical Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada

11. The KITE Research Institute, University Health Network, Toronto, ON, Canada

12. Research Group MOVANT, Department of Rehabilitation Sciences and Physiotherapy, University of Antwerp, Antwerp, Belgium

13. Neurocenter, Luzerner Kantonsspital, Lucerne, Switzerland

14. Department of Rehabilitation, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands

15. Sint Maartenskliniek Research, Nijmegen, The Netherlands

16. The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia

17. Department of Medicine, Melbourne Medical School, Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Melbourne, VIC, Australia

18. Department of Rehabilitation Medicine, Amsterdam Movement Sciences, Amsterdam Neuroscience, Amsterdam University Medical Centers, Amsterdam, The Netherlands

19. Department of Physical Therapy & Human Movement Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA

20. Department of Neurorehabilitation, Amsterdam Rehabilitation Research Centre, Reade, Amsterdam, The Netherlands

Abstract

Background: Mobility is a key priority for stroke survivors. Worldwide consensus of standardized outcome instruments for measuring mobility recovery after stroke is an essential milestone to optimize the quality of stroke rehabilitation and recovery studies and to enable data synthesis across trials. Methods: Using a standardized methodology, which involved convening of 13 worldwide experts in the field of mobility rehabilitation, consensus was established through an a priori defined survey-based approach followed by group discussions. The group agreed on balance- and mobility-related definitions and recommended a core set of outcome measure instruments for lower extremity motor function, balance and mobility, biomechanical metrics, and technologies for measuring quality of movement. Results: Selected measures included the Fugl-Meyer Motor Assessment lower extremity subscale for motor function, the Trunk Impairment Scale for sitting balance, and the Mini Balance Evaluation System Test (Mini-BESTest) and Berg Balance Scale (BBS) for standing balance. The group recommended the Functional Ambulation Category (FAC, 0–5) for walking independence, the 10-meter Walk Test (10 mWT) for walking speed, the 6-Minute Walk Test (6 MWT) for walking endurance, and the Dynamic Gait Index (DGI) for complex walking. An FAC score of less than three should be used to determine the need for an additional standing test (FAC < 3, add BBS to Mini-BESTest) or the feasibility to assess walking (FAC < 3, 10 mWT, 6 MWT, and DGI are “not testable”). In addition, recommendations are given for prioritized kinetic and kinematic metrics to be investigated that measure recovery of movement quality of standing balance and walking, as well as for assessment protocols and preferred equipment to be used. Conclusions: The present recommendations of measures, metrics, technology, and protocols build on previous consensus meetings of the International Stroke Recovery and Rehabilitation Alliance to guide the research community to improve the validity and comparability between stroke recovery and rehabilitation studies as a prerequisite for building high-quality, standardized “big data” sets. Ultimately, these recommendations could lead to high-quality, participant-specific data sets to aid the progress toward precision medicine in stroke rehabilitation.

Funder

Moleac

Ipsen Pharma

Canadian Partnership for Stroke Recovery

NHMRC Centre of Research Excellence to Accelerate Stroke Trial Innovation and Translation

Publisher

SAGE Publications

Subject

Neurology,Neurology (clinical)

Reference64 articles.

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