Literature DB >> 24150661

Systematic review of outcome measures of walking training using electromechanical and robotic devices in patients with stroke.

Christian Geroin1, Stefano Mazzoleni, Nicola Smania, Marialuisa Gandolfi, Donatella Bonaiuti, Giulio Gasperini, Patrizio Sale, Daniele Munari, Andreas Waldner, Raffaele Spidalieri, Federica Bovolenta, Alessandro Picelli, Federico Posteraro, Franco Molteni, Marco Franceschini.   

Abstract

OBJECTIVE: The aim of this systematic review was to identify appropriate selection criteria of clinical scales for future trials, starting from those most commonly reported in the literature, according to their psychometric properties and International Classification of Functioning, Disability and Health (ICF) domains. DATA SOURCES: A computerized literature research of articles was conducted in MEDLINE, EMBASE, CINALH, PubMed, PsychINFO and Scopus databases. STUDY SELECTION: Clinical trials evaluating the effects of electromechanical and robot-assisted gait training trials in stroke survivors. DATA EXTRACTION: Fifteen independent authors performed an extensive literature review. DATA SYNTHESIS: A total of 45 scales was identified from 27 studies involving 966 subjects. The most commonly used outcome measures were: Functional Ambulation Category (18 studies), 10-Meter Walking Test (13 studies), Motricity Index (12 studies), 6-Minute Walking Test (11 studies), Rivermead Mobility Index (8 studies) and Berg Balance Scale (8 studies). According to the ICF domains 1 outcome measure was categorized into Body Function and Structure, 5 into Activity and none into Participation.
CONCLUSION: The most commonly used scales evaluated the basic components of walking. Future studies should also include instrumental evaluation. Criteria for scale selection should be based on the ICF framework, psychometric properties and patient characteristics.

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Mesh:

Year:  2013        PMID: 24150661     DOI: 10.2340/16501977-1234

Source DB:  PubMed          Journal:  J Rehabil Med        ISSN: 1650-1977            Impact factor:   2.912


  19 in total

1.  Home-based technologies for stroke rehabilitation: A systematic review.

Authors:  Yu Chen; Kingsley Travis Abel; John T Janecek; Yunan Chen; Kai Zheng; Steven C Cramer
Journal:  Int J Med Inform       Date:  2018-12-11       Impact factor: 4.046

2.  A qualitative study on user acceptance of a home-based stroke telerehabilitation system.

Authors:  Yu Chen; Yunan Chen; Kai Zheng; Lucy Dodakian; Jill See; Robert Zhou; Nina Chiu; Renee Augsburger; Alison McKenzie; Steven C Cramer
Journal:  Top Stroke Rehabil       Date:  2019-11-04       Impact factor: 2.119

3.  Comparison of high-intensive and low-intensive electromechanical-assisted gait training by Exowalk® in patients over 3-month post-stroke.

Authors:  Chang Seon Yu; Yeon-Gyo Nam; Bum Sun Kwon
Journal:  BMC Sports Sci Med Rehabil       Date:  2022-07-10

4.  Self-selected gait speed--over ground versus self-paced treadmill walking, a solution for a paradox.

Authors:  Meir Plotnik; Tamar Azrad; Moshe Bondi; Yotam Bahat; Yoav Gimmon; Gabriel Zeilig; Rivka Inzelberg; Itzhak Siev-Ner
Journal:  J Neuroeng Rehabil       Date:  2015-02-21       Impact factor: 4.262

Review 5.  Clinical application of the Hybrid Assistive Limb (HAL) for gait training-a systematic review.

Authors:  Anneli Wall; Jörgen Borg; Susanne Palmcrantz
Journal:  Front Syst Neurosci       Date:  2015-03-25

6.  Clinical Characteristics of Proper Robot-Assisted Gait Training Group in Non-ambulatory Subacute Stroke Patients.

Authors:  Soo Jeong Kim; Hye Jin Lee; Seung Won Hwang; Hannah Pyo; Sung Phil Yang; Mun-Hee Lim; Gyu Lee Park; Eun Joo Kim
Journal:  Ann Rehabil Med       Date:  2016-04-25

7.  Assessment of demographic and clinical characteristics on functional status and disability of patients with stroke.

Authors:  Derya Memis; Erkan Kozanoglu; Bayram Kelle; Mustafa K Goncu
Journal:  Neurosciences (Riyadh)       Date:  2016-10       Impact factor: 0.906

8.  A cross-sectional study comparing lateral and diagonal maximum weight shift in people with stroke and healthy controls and the correlation with balance, gait and fear of falling.

Authors:  Margaretha M van Dijk; Sarah Meyer; Solveig Sandstad; Evelyne Wiskerke; Rhea Thuwis; Chesny Vandekerckhove; Charlotte Myny; Nitesh Ghosh; Hilde Beyens; Eddy Dejaeger; Geert Verheyden
Journal:  PLoS One       Date:  2017-08-15       Impact factor: 3.240

9.  Effects of Robot-Assisted Training for the Unaffected Arm in Patients with Hemiparetic Cerebral Palsy: A Proof-of-Concept Pilot Study.

Authors:  Alessandro Picelli; Elisabetta La Marchina; Antonella Vangelista; Elena Chemello; Angela Modenese; Marialuisa Gandolfi; Elisa Francesca Maria Ciceri; Alessandra Bucci; Giada Zoccatelli; Leopold Saltuari; Andreas Waldner; Alessio Baricich; Andrea Santamato; Nicola Smania
Journal:  Behav Neurol       Date:  2017-07-06       Impact factor: 3.342

10.  Efficacy and Safety Study of Wearable Cyborg HAL (Hybrid Assistive Limb) in Hemiplegic Patients With Acute Stroke (EARLY GAIT Study): Protocols for a Randomized Controlled Trial.

Authors:  Hiroki Watanabe; Aiki Marushima; Hideki Kadone; Yukiyo Shimizu; Shigeki Kubota; Tenyu Hino; Masayuki Sato; Yoshiro Ito; Mikito Hayakawa; Hideo Tsurushima; Kazushi Maruo; Yasushi Hada; Eiichi Ishikawa; Yuji Matsumaru
Journal:  Front Neurosci       Date:  2021-07-02       Impact factor: 4.677

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