Performing a shortened version of the Action Research Arm Test in immersive virtual reality to assess post-stroke upper limb activity

Lawrence ES, Coshall C, Dundas R, Stewart J, Rudd AG, Howard R, et al. Estimates of the prevalence of acute stroke impairments and disability in a multiethnic population. Stroke. 2001;32(6):1279–84.

Article  PubMed  CAS  Google Scholar 

Kwakkel G, Lannin NA, Borschmann K, English C, Ali M, Churilov L, et al. Standardized measurement of sensorimotor recovery in stroke trials: consensus-based core recommendations from the Stroke Recovery and Rehabilitation Roundtable. Int J Stroke. 2017;12(5):451–61.

Article  PubMed  Google Scholar 

Winstein CJ, Stein J, Arena R, Bates B, Cherney LR, Cramer SC, et al. Guidelines for adult stroke rehabilitation and recovery: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2016;47(6):e98-169.

Article  PubMed  Google Scholar 

Pohl J, Held JPO, Verheyden G, Alt Murphy M, Engelter S, Flöel A, et al. Consensus-based core set of outcome measures for clinical motor rehabilitation after stroke—a Delphi study. Front Neurol. 2020;11:875.

Article  PubMed  PubMed Central  Google Scholar 

Kwakkel G, Van Wegen E, Burridge JH, Winstein CJ, van Dokkum L, Alt Murphy M, et al. Standardized measurement of quality of upper limb movement after stroke: consensus-based core recommendations from the Second Stroke Recovery and Rehabilitation Roundtable. Int J Stroke. 2019;14(8):783–91.

Article  PubMed  CAS  Google Scholar 

Yozbatiran N, Der-Yeghiaian L, Cramer SC. A standardized approach to performing the Action Research Arm Test. Neurorehabil Neural Repair. 2008;22(1):78–90.

Article  PubMed  Google Scholar 

Hsieh C-L, Hsueh I-P, Chiang F-M, Lin P-H. Inter-rater reliability and validity of the action research arm test in stroke patients. Age Ageing. 1998;27(2):107–13.

Article  PubMed  CAS  Google Scholar 

Platz T, Pinkowski C, van Wijck F, Kim I-H, Di Bella P, Johnson G. Reliability and validity of arm function assessment with standardized guidelines for the Fugl-Meyer Test, Action Research Arm Test and Box and Block Test: a multicentre study. Clin Rehabil. 2005;19(4):404–11.

Article  PubMed  Google Scholar 

Chen HF, Lin KC, Wu CY, Chen Cl. Rasch validation and predictive validity of the action research arm test in patients receiving stroke rehabilitation. Arch Phys Med Rehabil. 2012;93(6):1039–45.

Article  PubMed  Google Scholar 

Nijland R, van Wegen EE, Verbunt J, van Wijk R, van Kordelaar J, Kwakkel G. A comparison of two validated tests for upper limb function after stroke: the Wolf Motor Function Test and the Action Research Arm Test. J Rehabil Med. 2010;42(7):694–6.

Article  PubMed  Google Scholar 

Van der Lee JH, De Groot V, Beckerman H, Wagenaar RC, Lankhorst GJ, Bouter LM. The intra- and inter-rater reliability of the action research arm test: a practical test of upper extremity function in patients with stroke. Arch Phys Med Rehabil. 2001;82(1):14–9.

Article  PubMed  Google Scholar 

Lyle RC. A performance test for assessment of upper limb function in physical rehabilitation treatment and research. Int J Rehabil Res. 1981;4(4):483–92.

Article  PubMed  CAS  Google Scholar 

Winstein C, Requejo P. Innovative technologies for rehabilitation and health promotion: what is the evidence? Phys Ther. 2015;95(3):294–8.

Article  PubMed  Google Scholar 

Huygelier H, Mattheus E, Abeele VV, van Ee R, Gillebert CR. The use of the term virtual reality in post-stroke rehabilitation: a scoping review and commentary. Physiol Belg. 2021;61(1):145.

Google Scholar 

Fang Z, Wu T, Lv M, Chen M, Zeng Z, Qian J, et al. Effect of traditional plus virtual reality rehabilitation on prognosis of stroke survivors: a systematic review and meta-analysis of randomized controlled trials. Am J Phys Med Rehabil. 2022;101(3):217–28.

Article  PubMed  Google Scholar 

Biocca F, Delaney B. Immersive virtual reality technology. Commun Age Virtual Real. 1995;15(32):10–5555.

Google Scholar 

Pleyers G, Poncin I. Non-immersive virtual reality technologies in real estate: how customer experience drives attitudes toward properties and the service provider. J Retail Consum Serv. 2020;57:102175.

Article  Google Scholar 

Radianti J, Majchrzak TA, Fromm J, Wohlgenannt I. A systematic review of immersive virtual reality applications for higher education: design elements, lessons learned, and research agenda. Comput Educ. 2020;147:103778.

Article  Google Scholar 

Freina L, Ott M, editors. A literature review on immersive virtual reality in education: state of the art and perspectives. In: The international scientific conference elearning and software for education; 2015.

Saposnik G, Levin M, Group SORCW. Virtual reality in stroke rehabilitation: a meta-analysis and implications for clinicians. Stroke. 2011;42(5):1380–6.

Article  PubMed  Google Scholar 

Ballester BR, Nirme J, Camacho I, Duarte E, Rodríguez S, Cuxart A, et al. Domiciliary VR-based therapy for functional recovery and cortical reorganization: randomized controlled trial in participants at the chronic stage post stroke. JMIR Serious Games. 2017;5(3):e6773.

Article  Google Scholar 

Lloréns R, Noé E, Colomer C, Alcañiz M. Effectiveness, usability, and cost-benefit of a virtual reality-based telerehabilitation program for balance recovery after stroke: a randomized controlled trial. Arch Phys Med Rehabil. 2015;96(3):418–25 e2.

Article  PubMed  Google Scholar 

Maier M, Rubio Ballester B, Duff A, Duarte Oller E, Verschure PF. Effect of specific over nonspecific VR-based rehabilitation on poststroke motor recovery: a systematic meta-analysis. Neurorehabil Neural Repair. 2019;33(2):112–29.

Article  PubMed  PubMed Central  Google Scholar 

Laver KE, Lange B, George S, Deutsch JE, Saposnik G, Crotty M. Virtual reality for stroke rehabilitation. Cochrane Database Syst Rev. 2017;11(11):CD008349.

PubMed  Google Scholar 

Aminov A, Rogers JM, Middleton S, Caeyenberghs K, Wilson PH. What do randomized controlled trials say about virtual rehabilitation in stroke? A systematic literature review and meta-analysis of upper-limb and cognitive outcomes. J Neuroeng Rehabil. 2018;15(1):1–24.

Article  Google Scholar 

Doumas I, Everard G, Dehem S, Lejeune T. Serious games for upper limb rehabilitation after stroke: a meta-analysis. J Neuroeng Rehabil. 2021;18(1):100.

Article  PubMed  PubMed Central  Google Scholar 

Kim W-S, Cho S, Baek D, Bang H, Paik N-J. Upper extremity functional evaluation by Fugl-Meyer assessment scoring using depth-sensing camera in hemiplegic stroke patients. PLoS ONE. 2016;11(7):e0158640.

Article  PubMed  PubMed Central  Google Scholar 

Oña ED, Jardón A, Cuesta-Gómez A, Sánchez-Herrera-Baeza P, Cano-de-la-Cuerda R, Balaguer C. Validity of a fully-immersive VR-based version of the box and blocks test for upper limb function assessment in Parkinson’s disease. Sensors. 2020;20(10):2773.

Article  PubMed  PubMed Central  Google Scholar 

Everard G, Otmane-Tolba Y, Rosselli Z, Pellissier T, Ajana K, Dehem S, et al. Concurrent validity of an immersive virtual reality version of the Box and Block Test to assess manual dexterity among patients with stroke. J Neuroeng Rehabil. 2022;19(1):7.

Article  PubMed  PubMed Central  Google Scholar 

Mathiowetz V, Volland G, Kashman N, Weber K. Adult norms for the Box and Block Test of manual dexterity. Am J Occup Ther. 1985;39(6):386–91.

Article  PubMed  CAS  Google Scholar 

Hou W-H, Shih C-L, Chou Y-T, Sheu C-F, Lin J-H, Wu H-C, et al. Development of a computerized adaptive testing system of the Fugl-Meyer motor scale in stroke patients. Arch Phys Med Rehabil. 2012;93(6):1014–20.

Article  PubMed  Google Scholar 

Stinear CM, Lang CE, Zeiler S, Byblow WD. Advances and challenges in stroke rehabilitation. Lancet Neurol. 2020;19(4):348–60.

Article  PubMed  CAS  Google Scholar 

Bangor A, Kortum PT, Miller JT. An empirical evaluation of the system usability scale. Int J Hum Comput Interact. 2008;24(6):574–94.

Article  Google Scholar 

Cohen J. Statistical power analysis. Curr Dir Psychol Sci. 1992;1(3):98–101.

Article  Google Scholar 

Andresen EM. Criteria for assessing the tools of disability outcomes research. Arch Phys Med Rehabil. 2000;81:15–20.

Article  Google Scholar 

Prinsen CA, Mokkink LB, Bouter LM, Alonso J, Patrick DL, De Vet HC, et al. COSMIN guideline for systematic reviews of patient-reported outcome measures. Qual Life Res. 2018;27(5):1147–57.

Article  PubMed  PubMed Central  CAS  Google Scholar 

Dontje ML, Dall PM, Skelton DA, Gill JMR, Chastin SFM. Reliability, minimal detectable change and responsiveness to change: indicators to select the best method to measure sedentary behaviour in older adults in different study designs. PLoS ONE. 2018;13(4):e0195424.

Article  PubMed  PubMed Central  Google Scholar 

van der Lee JH, Roorda LD, Beckerman H, Lankhorst GJ, Bouter LM. Improving the Action Research Arm test: a unidimensional hierarchical scale. Clin Rehabil. 2002;16(6):646–53.

Article  PubMed  CAS  Google Scholar 

Zonjee V, Selles R, Roorda L, Nijland R, van der Oest M, Bosomworth H, et al. Reducing the number of test items of the Action Research Arm Test post stroke: a decision tree analysis. Arch Phys Med Rehabil. 2022;103(8):1582–91.

Article  PubMed  CAS  Google Scholar 

Jordan HT, Che J, Byblow WD, Stinear CM. Fast outcome categorization of the upper limb after stroke. Stroke. 2022;53(2):578–85.

Article  PubMed  Google Scholar 

Goebl W, Palmer C. Tactile feedback and timing accuracy in piano performance. Exp Brain Res. 2008;186(3):471–9.

留言 (0)

沒有登入
gif