Literature DB >> 27996894

Motivation, expectations, and usability of a driven gait orthosis in stroke patients and their therapists.

Eva Swinnen1,2,3, Nina Lefeber1,2,3, Ward Willaert1, Fallon De Neef1, Lyn Bruyndonckx1, Annemie Spooren4,5, Marc Michielsen6, Tine Ramon7, Eric Kerckhofs1,2,3.   

Abstract

BACKGROUND: In the development of efficacious driven gait orthoses (DGO), it is an added value to consider patients' and therapists' perspectives concerning robot-assisted gait training (RAGT). A better understanding of these issues may improve the process of care and outcome.
OBJECTIVES: This study aimed to examine stroke patients' motivation and expectations of RAGT, and therapists' expectations and perspectives on the usability of RAGT. Additionally, the differences in expectations between stroke patients and their therapists were analyzed.
METHODS: A cross sectional, multi-center, three-group trial was conducted. Included were (1) stroke patients who have experience with RAGT (i.e. the stroke user group), (2) stroke patients who have no experience with RAGT (i.e. the stroke non-user group), and (3) therapists who have experience with RAGT (i.e. the therapist user group). The Intrinsic Motivation Inventory (IMI), Credibility/Expectancy Questionnaire (CEQ), and Usefulness, Satisfaction and Ease of Use Questionnaire (USE) were used. Descriptive statistics and non-parametric Kruskal-Wallis tests were conducted.
RESULTS: In total, 46 subjects were assessed (stroke user group: n = 23, stroke non-user group: n = 14, therapist user group: n = 9). IMI subscale scores ranged from 42 to 88%. Mean credibility and expectancy ranged from 80 to 85% and 57 to 72%, respectively, with no significant differences between groups. USE subscale scores ranged from 61 to 72%.
CONCLUSIONS: Stroke user group patients seem quite motivated to train with the DGO and both patients and therapists reasonably believe that this training could improve gait functioning. Therapists are moderately satisfied with the usability of the DGO, but there is room for improvement with respect to usefulness and ease of use.

Entities:  

Keywords:  Robot-assisted gait rehabilitation; credibility; driven gait orthosis; expectations; motivation; stroke; therapist; usability

Mesh:

Year:  2016        PMID: 27996894     DOI: 10.1080/10749357.2016.1266750

Source DB:  PubMed          Journal:  Top Stroke Rehabil        ISSN: 1074-9357            Impact factor:   2.119


  6 in total

1.  Long-Term Social Human-Robot Interaction for Neurorehabilitation: Robots as a Tool to Support Gait Therapy in the Pandemic.

Authors:  Nathalia Céspedes; Denniss Raigoso; Marcela Múnera; Carlos A Cifuentes
Journal:  Front Neurorobot       Date:  2021-02-23       Impact factor: 2.650

2.  Bilateral, Misalignment-Compensating, Full-DOF Hip Exoskeleton: Design and Kinematic Validation.

Authors:  Karen Junius; Marc Degelaen; Nina Lefeber; Eva Swinnen; Bram Vanderborght; Dirk Lefeber
Journal:  Appl Bionics Biomech       Date:  2017-07-16       Impact factor: 1.781

3.  Robotic Technology in Pediatric Neurorehabilitation. A Pilot Study of Human Factors in an Italian Pediatric Hospital.

Authors:  Francesco Gilardi; Federica De Falco; Daniela Casasanta; Martina Andellini; Simone Gazzellini; Maurizio Petrarca; Andreina Morocutti; Donatella Lettori; Matteo Ritrovato; Enrico Castelli; Massimiliano Raponi; Nicola Magnavita; Salvatore Zaffina
Journal:  Int J Environ Res Public Health       Date:  2020-05-17       Impact factor: 3.390

4.  Automatic versus manual tuning of robot-assisted gait training in people with neurological disorders.

Authors:  Simone S Fricke; Cristina Bayón; Herman van der Kooij; Edwin H F van Asseldonk
Journal:  J Neuroeng Rehabil       Date:  2020-01-28       Impact factor: 4.262

5.  A systematic review on the usability of robotic and virtual reality devices in neuromotor rehabilitation: patients' and healthcare professionals' perspective.

Authors:  Francesco Zanatta; Anna Giardini; Antonia Pierobon; Marco D'Addario; Patrizia Steca
Journal:  BMC Health Serv Res       Date:  2022-04-20       Impact factor: 2.908

Review 6.  Patient, carer, and staff perceptions of robotics in motor rehabilitation: a systematic review and qualitative meta-synthesis.

Authors:  Despina Laparidou; Ffion Curtis; Joseph Akanuwe; Khaled Goher; A Niroshan Siriwardena; Ayse Kucukyilmaz
Journal:  J Neuroeng Rehabil       Date:  2021-12-25       Impact factor: 5.208

  6 in total

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