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Research Article| Volume 70, 104499, February 2023

Neuro rehabilitation effectiveness based on virtual reality and tele rehabilitation in people with multiple sclerosis in Argentina: Reavitelem study

Published:January 03, 2023DOI:https://doi.org/10.1016/j.msard.2023.104499

      Highlights

      • First Argentinean multicenter study of VRC and TR.
      • 54 PWMS (23 males/31 females) were recruited for VRC.
      • QOL improved from baseline to the post-intervention assessment at VRC (p=<0.001).
      • NR treatment based on VR in MS in Argentina showed to be an effective tool.

      Abstract

      Virtual Reality (VR) has emerged as a new treatment approach in neurorehabilitation (NR). REAVITELEM Study is a specific NR intervention program based on VR at center (VRC) and tele-rehabilitation (TR) in Argentina.
      Methods First national multicenter study with a 12-week program intervention of VRC and TR. Participants were assessed at baseline, at 6th and 12th week. Phase I: recruitment and gather of 5 NR Centers from Argentina by the coordinator center (INEBA) to unify evaluation and intervention criteria. Phase II, all centers completed VRC an TR programs. Intervention was 30-minute session, twice a week for 12 weeks. Outcome measures: Expanded Disability Status Scale (EDSS), Fist and Key Pinch Dynamometry, Beck Depression Inventory-Fast Screen, Fatigue Severity Scale, Functional Independence Measure (FIM), International Questionnaire investigating Quality of life in MS (MusiQol) and a Visual Analogue Scale (VAS) of satisfaction after treatment.
      Results A total of 54 PWMS (23 males) were recruited for VRC. Afterwards, 14 completed TR. The mean age for VRC was 44.72 (SD ± 13.74) and 41.71 (SD ± 10.5) for TR. The median EDSS was 4, 75 for VR. At VRC, 42 have RRMS, 8 have SPMS and 4 PPMS. At TR, 13 have RRMS and 1 have SPMS. The VAS reported an excellent level of satisfaction after treatment with an average of 9, 02 (SD±1.35) in VRC and 9.42 (SD±0.66) in TR. There were significant differences for MusiQol, which improved from baseline to the post-intervention assessment at VRC (p=<0.001) and at TR (p = 0.004) as well as FIM post-intervention assessment at VCR (p = 0.02) and TR (p = 0.04).
      Conclusion this study suggest that the NR treatment based on VR in MS in Argentina, is an additional effective tool, which favors improvements in the level of functioning in activities of daily living, quality of life, mood, and satisfaction with the treatment.

      Keywords

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      References

        • Aitken R.C.
        Measurement of feelings using visual analogue scales.
        Proc. R. Soc. Med. 1969; 62: 989-993
        • Amatya B.
        • Galea M.P.
        • Kesselring J.
        • Khan F.
        Effectiveness of telerehabilitation interventions in persons with multiple sclerosis: A systematic review.
        Mult. Scler. Relat. Disord. 2015; 4: 358-369
        • Amatya B.
        • Khan F.
        • Galea M.
        Rehabilitation for people with multiple sclerosis: an overview of Cochrane Reviews.
        Cochrane Database Syst. Rev. 2019; 1CD012732
      1. https://www.batimes.com.ar/news/argentina/32-of-argentine-households-do-not-have-a-fixed-internet-connection-says-national-report.phtml.

        • Beer S.
        • Khan F.
        • Kesselring J.
        Rehabilitation interventions in multiple sclerosis: an overview.
        J. Neurol. 2012; 259: 1994-2008
        • Bendixen R.M.
        • Levy C.E.
        • Olive E.S.
        • Kobb R.F.
        • Mann W.C.
        Cost effectiveness of a telerehabilitation program to support chronically ill and disabled elders in their homes.
        Telemed. J. E Health. 2009; 15: 31-38
        • Benedict R.H.
        • Fishman I.
        • McClellan M.M.
        • Bakshi R.
        • Weinstock-Guttman B.
        Validity of the Beck Depression Inventory-Fast Screen in multiple sclerosis.
        Mult. Scler. 2003; 9: 393-396
        • Brennan D.M.
        • Mawson S.
        • Brownsell S.
        Telerehabilitation: enabling the remote delivery of healthcare, rehabilitation, and self-management.
        Stud. Health Technol. Inform. 2009; 145: 231-248
        • Casuso-Holgado M.J.
        • Martin-Valero R.
        • Carazo A.F.
        • Medrano-Sanchez E.M.
        • Cortes-Vega M.D.
        • Montero-Bancalero F.J.
        Effectiveness of virtual reality training for balance and gait rehabilitation in people with multiple sclerosis: a systematic review and meta-analysis.
        Clin. Rehabil. 2018; 32: 1220-1234
        • Chumbler N.R.
        • Quigley P.
        • Li X.
        • et al.
        Effects of telerehabilitation on physical function and disability for stroke patients: a randomized, controlled trial.
        Stroke. 2012; 43: 2168-2174
        • Comi G.
        • Radaelli M.
        • Soelberg Sorensen P
        Evolving concepts in the treatment of relapsing multiple sclerosis.
        Lancet. 2017; 389: 1347-1356
        • Constantinescu G.
        • Theodoros D.
        • Russell T.
        • Ward E.
        • Wilson S.
        • Wootton R.
        Assessing disordered speech and voice in Parkinson's disease: a telerehabilitation application.
        Int. J. Lang. Commun. Disord. 2010; 45: 630-644
        • Cristiano E.
        • Rojas J.I.
        • Alonso R.
        • et al.
        Consensus recommendations on the management of multiple sclerosis patients in Argentina.
        J. Neurol. Sci. 2020; 409116609
        • Dickson H.G.
        • Kohler F.
        Interrater reliability of the 7-level functional independence measure (FIM).
        Scand. J. Rehabil. Med. 1995; 27: 253-256
        • Dombovy M.L.
        Neurorehabilitation for other neurologic disorders.
        Continuum (Minneap Minn). 2011; 17: 606-616
        • Fernandez O.
        • Fernandez V.
        • Baumstarck-Barrau K.
        • et al.
        Validation of the spanish version of the Multiple Sclerosis International Quality of Life (Musiqol) questionnaire.
        BMC Neurol. 2011; 11: 127
        • Fugl-Meyer A.R.
        • Jaasko L.
        • Leyman I.
        • Olsson S.
        • Steglind S.
        The post-stroke hemiplegic patient. 1. a method for evaluation of physical performance.
        Scand. J. Rehabil. Med. 1975; 7: 13-31
        • Giovannoni G.
        • Turner B.
        • Gnanapavan S.
        • Offiah C.
        • Schmierer K.
        • Marta M.
        Is it time to target no evident disease activity (NEDA) in multiple sclerosis?.
        Mult. Scler. Relat. Disord. 2015; 4: 329-333
        • Hailey D.
        • Roine R.
        • Ohinmaa A.
        • Dennett L.
        Evidence of benefit from telerehabilitation in routine care: a systematic review.
        J. Telemed. Telecare. 2011; 17: 281-287
        • Iacobaeus E.
        • Arrambide G.
        • Amato M.P.
        • et al.
        Aggressive multiple sclerosis (1): Towards a definition of the phenotype.
        Mult. Scler. 2020; (1352458520925369)
        • Kalron A.
        • Achiron A.
        • Pau M.
        • Cocco E.
        The effect of a telerehabilitation virtual reality intervention on functional upper limb activities in people with multiple sclerosis: a study protocol for the TEAMS pilot randomized controlled trial.
        Trials. 2020; 21: 713
        • Kappos L.
        • De Stefano N.
        • Freedman M.S.
        • et al.
        Inclusion of brain volume loss in a revised measure of 'no evidence of disease activity' (NEDA-4) in relapsing-remitting multiple sclerosis.
        Mult. Scler. 2016; 22: 1297-1305
        • Kellor M.
        • Frost J.
        • Silberberg N.
        • Iversen I.
        • Cummings R
        Hand strength and dexterity.
        Am. J. Occup. Ther. 1971; 25: 77-83
        • Khalil H.
        • Al-Sharman A.
        • El-Salem K.
        • et al.
        The development and pilot evaluation of virtual reality balance scenarios in people with multiple sclerosis (MS): A feasibility study.
        NeuroRehabilitation. 2018; 43: 473-482
        • Khan F.
        • Turner-Stokes L.
        • Ng L.
        • Kilpatrick T.
        Multidisciplinary rehabilitation for adults with multiple sclerosis.
        Postgrad. Med. J. 2008; 84: 385
        • Khan F.
        • Ng L.
        • Turner-Stokes L.
        Effectiveness of vocational rehabilitation intervention on the return to work and employment of persons with multiple sclerosis.
        Cochrane Database Syst. Rev. 2009; CD007256
        • Krupp L.B.
        • LaRocca N.G.
        • Muir-Nash J.
        • Steinberg A.D.
        The fatigue severity scale. Application to patients with multiple sclerosis and systemic lupus erythematosus.
        Arch. Neurol. 1989; 46: 1121-1123
        • Kurtzke J.F
        A reassessment of the distribution of multiple sclerosis.
        Acta Neurol. Scand. 1975; 51: 137-157
        • Lawton M.P.
        • Brody E.M.
        Assessment of older people: self-maintaining and instrumental activities of daily living.
        Gerontologist. 1969; 9: 179-186
        • Maggio M.G.
        • Russo M.
        • Cuzzola M.F.
        • et al.
        Virtual reality in multiple sclerosis rehabilitation: A review on cognitive and motor outcomes.
        J. Clin. Neurosci. 2019; 65: 106-111
        • Massetti T.
        • Trevizan I.L.
        • Arab C.
        • Favero F.M.
        • Ribeiro-Papa D.C.
        • de Mello Monteiro C.B.
        Virtual reality in multiple sclerosis - A systematic review.
        Mult. Scler. Relat. Disord. 2016; 8: 107-112
        • Moccia M.
        • de Stefano N.
        • Barkhof F.
        Imaging outcome measures for progressive multiple sclerosis trials.
        Mult. Scler. 2017; 23: 1614-1626
        • Nascimento A.S.
        • Fagundes C.V.
        • Mendes F.
        • Leal J.C.
        Effectiveness of Virtual Reality Rehabilitation in Persons with Multiple Sclerosis: A Systematic Review and Meta-analysis of Randomized Controlled Trials.
        Mult. Scler. Relat. Disord. 2021; 54103128
        • O'Neil O.
        • Fernandez M.M.
        • Herzog J.
        • et al.
        Virtual Reality for Neurorehabilitation: Insights From 3 European Clinics.
        PM R. 2018; 10: S198-S206
        • Oxford Grice K.
        • Vogel K.A.
        • Le V.
        • Mitchell A.
        • Muniz S.
        • Vollmer M.A
        Adult norms for a commercially available Nine Hole Peg Test for finger dexterity.
        Am. J. Occup. Ther. 2003; 57: 570-573
        • Polman C.H.
        • Reingold S.C.
        • Banwell B.
        • et al.
        Diagnostic criteria for multiple sclerosis: 2010 revisions to the McDonald criteria.
        Ann. Neurol. 2011; 69: 292-302
        • Reich D.S.
        • Lucchinetti C.F.
        • Calabresi P.A.
        Multiple Sclerosis.
        N. Engl. J. Med. 2018; 378: 169-180
        • Shaw M.T.
        • Palmeri M.J.
        • Malik M.
        • Dobbs B.
        • Charvet L.E.
        Virtual reality is a feasible intervention platform in multiple sclerosis: A pilot protocol and acute improvements in affect.
        Mult. Scler. J. Exp. Transl. Clin. 2021; 7 (20552173211006139)
        • Soelberg Sorensen P.
        • Giovannoni G.
        • Montalban X.
        • Thalheim C.
        • Zaratin P.
        • Comi G
        The Multiple Sclerosis Care Unit.
        Mult. Scler. 2019; 25: 627-636
        • Sormani M.P.
        • Kappos L.
        • Radue E.W.
        • et al.
        Defining brain volume cutoffs to identify clinically relevant atrophy in RRMS.
        Mult. Scler. 2017; 23: 656-664
        • Thompson A.J.
        • Banwell B.L.
        • Barkhof F.
        • et al.
        Diagnosis of multiple sclerosis: 2017 revisions of the McDonald criteria.
        Lancet Neurol. 2018; 17: 162-173
        • Trapp B.D.
        • Peterson J.
        • Ransohoff R.M.
        • Rudick R.
        • Mork S.
        • Bo L.
        Axonal transection in the lesions of multiple sclerosis.
        N. Engl. J. Med. 1998; 338: 278-285
        • Wattjes M.P.
        • Ciccarelli O.
        • Reich D.S.
        • et al.
        2021 MAGNIMS-CMSC-NAIMS consensus recommendations on the use of MRI in patients with multiple sclerosis.
        Lancet Neurol. 2021;