Robot-assisted gait training; depression; neuromuscular disorders; quality of life; robotic devices; Rehabilitation; Physical Therapy, Sports Therapy and Rehabilitation
Abstract :
[en] ("[en] OBJECTIVE: Robot-assisted gait training (RAGT) is often used as a rehabilitation tool for neurological impairments. The purpose of this study is to investigate the effects of rehabilitation with robotic devices on quality of life and depression.
DATA SOURCES: Two electronic databases (MEDLINE and Scopus) were searched for studies from inception up to December 2022.
REVIEW METHODS: Randomized controlled trials (RCTs) and non-RCTs were pooled separately for analyses, studying each one's mental and physical health and depression. Random effect meta-analyses were run using standardized mean difference and 95% confidence interval (CI).
RESULTS: A total of 853 studies were identified from the literature search. 31 studies (17 RCTs and 14 non-RCTs) including 1151 subjects met the inclusion criteria. 31 studies were selected for the systematic review and 27 studies for the meta-analysis. The outcome measure of mental health significantly improved in favor of the RAGT group in RCTs and non-RCTs (adjusted Hedges'g 0.72, 95% CI: 0.34-1.10, adjusted Hedges g = 0.80, 95% CI 0.21-1.39, respectively). We observed a significant effect of RAGT on physical health in RCTs and non-RCTs (adjusted Hedges'g 0.58, 95% CI 0.28, 0.88, adjusted Hedges g = 0.73, 95% CI 0.12, 1.33). After realizing a sensitivity analysis in RCTs, a positive impact on depression is observed (Hedges' g of -0.66, 95% CI -1.08 to -0.24).
CONCLUSION: This study suggests that RAGT could improve the quality of life of patients with neurological impairments. A positive impact on depression is also observed in the short term. Further studies are needed to differentiate grounded and overgrounded exoskeletons as well as RCT comparing overground exoskeletons with a control group.","[en] ","")
Disciplines :
Orthopedics, rehabilitation & sports medicine Neurology
Author, co-author :
Den Brave, Meike ; Centre Hospitalier Universitaire de Liège - CHU > > Service de médecine de l'appareil locomoteur
Beaudart, Charlotte ; Centre Hospitalier Universitaire de Liège - CHU > > Service de médecine de l'appareil locomoteur
de Noordhout, Benoit Maertens; Department of Physical and Rehabilitation Medicine, 26658University of Liège, CNRF Fraiture, Liège, Belgium
Gillot, Vincent; CHR, Liège, Belgium
Kaux, Jean-François ; Centre Hospitalier Universitaire de Liège - CHU > > Service de médecine de l'appareil locomoteur
Language :
English
Title :
Effect of robot-assisted gait training on quality of life and depression in neurological impairment: A systematic review and meta-analysis.
scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.
Bibliography
Stolze H Klebe S Baecker C, et al. Prevalence of gait disorders in hospitalized neurological patients. Mov Disord 2005; 20: 89–94.
Rodríguez-Fernández A Lobo-Prat J Font-Llagunes JM. Systematic review on wearable lower-limb exoskeletons for gait training in neuromuscular impairments. J Neuroeng Rehabil 2021; 18: 1–21.
Fang CY Tsai JL Li GS, et al. Effects of robot-assisted gait training in individuals with spinal cord injury: A meta-analysis. Biomed Res Int 2020; 2020: 2102785.
Wang L Zheng Y Dang Y, et al. Effects of robot-assisted training on balance function in patients with stroke: A systematic review and meta-analysis. J Rehabil Med 2021; 53: jrm00174.
Nedergård H Arumugam A Sandlund M, et al. Effect of robotic-assisted gait training on objective biomechanical measures of gait in persons post-stroke: A systematic review and meta-analysis. J Neuroeng Rehabil 2021; 18: 64.
Bowman T Gervasoni E Amico AP, et al. What is the impact of robotic rehabilitation on balance and gait outcomes in people with multiple sclerosis? A systematic review of randomized control trials. Eur J Phys Rehabil Med. Edizioni Minerva Medica 2021; 57: 246–253.
Cochrane Handbook for Systematic Reviews of Interventions | Cochrane Training. [cited 13 Dec 2022], https://training.cochrane.org/handbook.
Morrison A Polisena J Husereau D, et al. The effect of English-language restriction on systematic review-based meta-analyses: A systematic review of empirical studies. Int J Technol Assess Health Care 2012; 28: 138–144.
Higgins JPT Altman DG Gøtzsche PC, et al. The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. BMJ 2011; 343: d5928.
Cantrell A Croot E Johnson M, et al. Access to primary and community health-care services for people 16 years and over with intellectual disabilities: A mapping and targeted systematic review. Health Serv Deliv Res 2020; 8: 1–142.
Hozo SP Djulbegovic B Hozo I. Estimating the mean and variance from the median, range, and the size of a sample. BMC Med Res Methodol 2005; 5: 13.
Sconza C Negrini F di Matteo B, et al. Robot-assisted gait training in patients with multiple sclerosis: A randomized controlled crossover trial. Medicina (Lithuania) 2021; 57: 713.
van Nes IJW van Dijsseldonk RB van Herpen FHM, et al. Improvement of quality of life after 2-month exoskeleton training in patients with chronic spinal cord injury. J Spinal Cord Med 2022: 1–7. doi: 10.1080/10790268.2022.2052502.
Sawada T Okawara H Matsubayashi K, et al. Influence of body weight-supported treadmill training with voluntary-driven exoskeleton on the quality of life of persons with chronic spinal cord injury: A pilot study. Int J Rehabil Res 2021; 44: 343–349.
Maggio MG Naro A de Luca R, et al. Body representation in patients with severe spinal cord injury: A pilot study on the promising role of powered exoskeleton for gait training. J Pers Med 2022; 12: 619. doi: 10.3390/jpm12040619.
Louie DR Mortenson WB Durocher M, et al. Efficacy of an exoskeleton-based physical therapy program for non-ambulatory patients during subacute stroke rehabilitation: A randomized controlled trial. J Neuroeng Rehabil 2021; 18: 149.
Meng G Ma X Chen P, et al. Effect of early integrated robot-assisted gait training on motor and balance in patients with acute ischemic stroke: A single-blinded randomized controlled trial. Ther Adv Neurol Disord 2022; 15, 1-10 doi: 10.1177/17562864221123195.
Miura K Tsuda E Kogawa M, et al. Effects of gait training with a voluntary-driven wearable cyborg, hybrid assistive limb (HAL), on quality of life in patients with neuromuscular disease, able to walk independently with aids. J Clin Neurosci 2021; 89: 211–215.
Platz T Gillner A Borgwaldt N, et al. Device-training for individuals with thoracic and lumbar spinal cord injury using a powered exoskeleton for technically assisted mobility: Achievements and user satisfaction. Biomed Res Int 2016; 2016: 8459018.
Poritz J Patterson L Tseng SC, et al. Evaluation of quality of life measures for wearable robotic therapy in individuals with neurological disability: A preliminary report. In: 2017 international symposium on wearable robotics and rehabilitation, WeRob, Houston, TX, USA, 2017, pp. 1–2.
Tsai CY Asselin PK Hong E, et al. Exoskeletal-assisted walking may improve seated balance in persons with chronic spinal cord injury: A pilot study. Spinal Cord Ser Cases 2021; 7: 20.
Juszczak M Gallo E Bushnik T. Examining the effects of a powered exoskeleton on quality of life and secondary impairments in people living with spinal cord injury. Top Spinal Cord Inj Rehabil 2018; 24: 336–342.
Calabrò RS de Cola MC Leo A, et al. Robotic neurorehabilitation in patients with chronic stroke: Psychological well-being beyond motor improvement. Int J Rehabil Res 2015; 38: 219–225.
McGibbon C Sexton A Gryfe P, et al. Effect of using of a lower-extremity exoskeleton on disability of people with multiple sclerosis. Disabil Rehabil: Assist Technol 2021: 1–8. doi:10.1080/1783107.2021.1874064.
Baunsgaard CB Nissen UV Brust AK, et al. Exoskeleton gait training after spinal cord injury: An exploratory study on secondary health conditions. J Rehabil Med 2018; 50: 806–813.
Bertolucci F di Martino S Orsucci D, et al. Robotic gait training improves motor skills and quality of life in hereditary spastic paraplegia. NeuroRehabilitation 2015; 36: 93–99.
Chun A Asselin PK Knezevic S, et al. Changes in bowel function following exoskeletal-assisted walking in persons with spinal cord injury: An observational pilot study. Spinal Cord 2020; 58: 459.
Kim HS Park JH Lee HS, et al. Effects of wearable powered exoskeletal training on functional mobility, physiological health and quality of life in non-ambulatory spinal cord injury patients. J Korean Med Sci 2021; 36: 1–15.
Kozlowski AJ Fabian M Lad D, et al. Feasibility and safety of a powered exoskeleton for assisted walking for persons with multiple sclerosis: A single-group preliminary study. Arch Phys Med Rehabil 2017; 98: 1300–1307.
Wu M Landry JM Kim J, et al. Robotic resistance/assistance training improves locomotor function in individuals poststroke: A randomized controlled study. Arch Phys Med Rehabil 2014; 95: 799–806.
Calabrò RS Russo M Naro A, et al. Robotic gait training in multiple sclerosis rehabilitation: Can virtual reality make the difference? Findings from a randomized controlled trial. J Neurol Sci 2017; 377: 25–30.
Russo M Dattola V de Cola MC, et al. The role of robotic gait training coupled with virtual reality in boosting the rehabilitative outcomes in patients with multiple sclerosis. Int J Rehabil Res 2018; 41: 166–172.
Park C Oh-Park M Dohle C, et al. Effects of innovative hip-knee-ankle interlimb coordinated robot training on ambulation, cardiopulmonary function, depression, and fall confidence in acute hemiplegia. NeuroRehabilitation 2020; 46: 577–587.
Taveggia G Borboni A Mulé C, et al. Conflicting results of robot-assisted versus usual gait training during postacute rehabilitation of stroke patients: A randomized clinical trial. Int J Rehabil Res 2016; 39: 29.
Dundar U Toktas H Solak O, et al. A comparative study of conventional physiotherapy versus robotic training combined with physiotherapy in patients with stroke. Top Stroke Rehabil. 2015; 21: 453–461.
Gorman PH Forrest GF Asselin PK, et al. The effect of exoskeletal-assisted walking on spinal cord injury bowel function: Results from a randomized trial and comparison to other physical interventions. J Clin Med 2021; 10: 64.
Manuli A Maggio MG Latella D, et al. Can robotic gait rehabilitation plus virtual reality affect cognitive and behavioural outcomes in patients with chronic stroke? A randomized controlled trial involving three different protocols. J Stroke Cerebrovasc Dis 2020; 29: 104994.
Straudi S Fanciullacci C Martinuzzi C, et al. The effects of robot-assisted gait training in progressive multiple sclerosis: A randomized controlled trial. Mult Scler 2016; 22: 373–384.
Mustafaoglu R Erhan B Yeldan I, et al. Does robot-assisted gait training improve mobility, activities of daily living and quality of life in stroke? A single-blinded, randomized controlled trial. Acta Neurol Belg 2020; 120: 335–344.
de Luca R Maresca G Balletta T, et al. Does overground robotic gait training improve non-motor outcomes in patients with chronic stroke? Findings from a pilot study. J Clin Neurosci 2020; 81: 240–245.
Russo M Maggio MG Naro A, et al. Can powered exoskeletons improve gait and balance in multiple sclerosis? A retrospective study. Int J Rehabil Res 2021; 44: 126–130.
The EuroQol Group. EuroQol—a new facility for the measurement of health-related quality of life. Health Policy (New York) 1990; 16: 199–208.
Ware JE Kosinski M Keller SD. A 12-item short-form health survey: Construction of scales and preliminary tests of reliability and validity. Med Care 1996; 34: 220–233.
Ware JE Jr Sherbourne CD Ware JJ, et al. The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection. Med Care. 1992; 30: 473–483.
Williams LS Weinberger M Harris LE, et al. Development of a stroke-specific quality of life scale. Stroke 1999; 30: 1362–1369.
Tulsky DS Kisala PA. The spinal cord injury – quality of life (SCI-QOL) measurement system: Development, psychometrics, and item bank calibration. J Spinal Cord Med 2015; 38: 51.
Tulsky DS Kisal PA Tate DG, et al. Development and psychometric characteristics of the SCI-QOL bladder management difficulties and bowel management difficulties item banks and short forms and the SCI-QOL bladder complications scale. J Spinal Cord Med 2015; 38: 288–302.
Cella D Lai JS Nowinski CJ, et al. Neuro-QOL: Brief measures of health-related quality of life for clinical research in neurology. Neurology. 2012; 78: 1860.
Diener E Emmons RA Larsem RJ, et al. The satisfaction with life scale. J Pers Assess 1985; 49: 71–75.
Hamilton M. A rating scale for depression. J Neurol Neurosurg Psychiatry 1960; 23: 56–62.
Grossi E Compare A. Psychological general well-being Index (PGWB). In: Michalos AC (ed) Encyclopedia of quality of life and well-being research. Netherlands: Springer, 2014, pp. 5152–5156.
Williams LS Brizendine EJ Plue L, et al. Performance of the PHQ-9 as a screening tool for depression after stroke. Stroke 2005; 36: 635–638.
Hubley AM. Beck depression inventory. In: Michalos AC (ed) Encyclopedia of quality of life and well-being Research. Netherlands: Springer, 2014, pp. 338–345.
Kim SY Yang L Park IJ, et al. Effects of innovative WALKBOT robotic-assisted locomotor training on balance and gait recovery in hemiparetic stroke: A prospective, randomized, experimenter blinded case-control study with a four-week follow-up. IEEE Trans Neural Syst Rehabil Eng 2015; 23: 636–642.
Louie DR Eng JJ Lam T. Gait speed using powered robotic exoskeletons after spinal cord injury: A systematic review and correlational study. J Neuroeng Rehabil 2015; 12: 82.
Baylor C Yorkston K Jensen M, et al. Scoping review of common secondary conditions after stroke and their associations with age and time post stroke. 2014; 21: 371–382.
Jensen MP Truitt AR Schomer KG, et al. Frequency and age effects of secondary health conditions in individuals with spinal cord injury: A scoping review. Spinal Cord 2013; 51: 882–892.
Miller LE Zimmermann AK Herbert WG. Clinical effectiveness and safety of powered exoskeleton-assisted walking in patients with spinal cord injury: Systematic review with meta-analysis. Med Devices (Auckl) 2016; 9: 455–466.
This website uses cookies to improve user experience. Read more
Save & Close
Accept all
Decline all
Show detailsHide details
Cookie declaration
About cookies
Strictly necessary
Performance
Strictly necessary cookies allow core website functionality such as user login and account management. The website cannot be used properly without strictly necessary cookies.
This cookie is used by Cookie-Script.com service to remember visitor cookie consent preferences. It is necessary for Cookie-Script.com cookie banner to work properly.
Performance cookies are used to see how visitors use the website, eg. analytics cookies. Those cookies cannot be used to directly identify a certain visitor.
Used to store the attribution information, the referrer initially used to visit the website
Cookies are small text files that are placed on your computer by websites that you visit. Websites use cookies to help users navigate efficiently and perform certain functions. Cookies that are required for the website to operate properly are allowed to be set without your permission. All other cookies need to be approved before they can be set in the browser.
You can change your consent to cookie usage at any time on our Privacy Policy page.