Assessment of Upper Extremity Function in Multiple Sclerosis: Review and Opinion

References

• . Kobelt G, Berg J, Atherly D, Hadjimichael O. Costs and quality of life in multiple sclerosis. A cross-sectional study in the United States. Neurology. 2006;66:1696–1702
   PubMed Web of Science ®Google Scholar
• . Kobelt G, Berg J, Lindgren P, Fredrikson S, Jonsson B. Costs and quality of life of patients with multiple sclerosis in Europe. J Neurol Neurosurg Psychiatry. 2006;77:918–926
   PubMed Web of Science ®Google Scholar
• . Adelman G, Rane SG, Villa KF. The cost burden of multiple sclerosis in the United States: a systematic review of the literature. J Med Econ. 2013;16(5):639–647
   PubMedGoogle Scholar
• . Coleman CI, Sidovar MF, Roberts MS, Kohn C. Impact of mobility impairment on indirect costs and health-related quality of life in multiple sclerosis. PLoS One. 2013;8(1):e54756
   PubMed Web of Science ®Google Scholar
• . Pike J, Jones E, Rajagopalan K, Piercy J, Anderson P. Social and economic burden of walking and mobility problems in multiple sclerosis. BMC Neurol. 2012;12(1):94
   PubMed Web of Science ®Google Scholar
• . Johansson S, Ytterberg C, Claesson IM, . High concurrent presence of disability in multiple sclerosis. Associations with perceived health. J Neurol. 2007;254(6):767–773
   PubMed Web of Science ®Google Scholar
• . Cano SJ, Barrett LE, Zajicek JP, Hobart JC. Beyond the reach of traditional analyses: using Rasch to evaluate the DASH in people with multiple sclerosis. Mult Scler. 2011;17(2):214–222
   PubMed Web of Science ®Google Scholar
• . Kurtzke JF. Rating neurologic impairment in multiple sclerosis: an expanded disability status scale (EDSS). Neurology. 1983; 33(11):1444–1452
   PubMed Web of Science ®Google Scholar
• . Bohannon RW. Dynamometer measurements of hand-grip strength predict multiple outcomes. Percept Mot Skills. 2001;93(2):323–328
   PubMed Web of Science ®Google Scholar
• . Bohannon RW. Hand-grip dynamometry predicts future outcomes in aging adults. J Geriatr Phys Ther. 2008;31(1):3–10
   PubMedGoogle Scholar
• . Morris JH, van Wijck F, Joice S, Donaghy M. Predicting health related quality of life 6 months after stroke: the role of anxiety and upper limb dysfunction. Disabil Rehabil. 2013;35(4):291–299
   PubMed Web of Science ®Google Scholar
• . Kierkegaard M, Einarsson U, Gottberg K, von Koch L, Holmqvist LW. The relationship between walking, manual dexterity, cognition and activity/participation in persons with multiple sclerosis. Mult Scler. 2012;18(5):639–646
   PubMed Web of Science ®Google Scholar
• . Yozbatiran N, Baskurt F, Baskurt Z, Ozakbas S, Idiman E. Motor assessment of upper extremity function and its relation with fatigue, cognitive function and quality of life in multiple sclerosis patients. J Neurol Sci. 2006;246(1–2):117–122
   PubMed Web of Science ®Google Scholar
• . Solaro C, Brichetto G, Casadio M, . Subtle upper limb impairment in asymptomatic multiple sclerosis subjects. Mult Scler. 2007;13(3):428–432
   PubMedGoogle Scholar
• . Krishnan V, de Freitas PB, Jaric S. Impaired object manipulation in mildly involved individuals with multiple sclerosis. Motor Control. 2008;12(1):3–20
   PubMed Web of Science ®Google Scholar
• . Krishnan V, Jaric S. Hand function in multiple sclerosis: force coordination in manipulation tasks. Clin Neurophysiol. 2008;119(10):2274–2281
   PubMed Web of Science ®Google Scholar
• . Rudick RA, Cutter G, Reingold S. The Multiple Sclerosis Functional Composite; a new clinical outcome measure for multiple sclerosis clinical trials. Mult Scler. 2002;8:359–365
   PubMed Web of Science ®Google Scholar
• . US Food and Drug Administration. Guidance for Industry. Patient-Reported Outcome Measures: Use in Medical Product Development to Support Labeling Claims. Silver Spring, MD: FDA; 2009
   Google Scholar
• . Feys P, Duportail M, Kos D, Van Asch P, Ketelaer P. Validity of the TEMPA for the measurement of upper limb function in multiple sclerosis. Clin Rehabil. 2002;16(2):166–173
   PubMed Web of Science ®Google Scholar
• . Heesen C, Bohm J, Reich C, Kasper J, Goebel M, Gold SM. Patient perception of bodily functions in multiple sclerosis: gait and visual function are the most valuable. Mult Scler. 2008;14(7):988–991
   PubMedGoogle Scholar
• . Velstra IM, Ballert CS, Cieza A. A systematic literature review of outcome measures for upper extremity function using the international classification of functioning, disability, and health as reference. PM R. 2011;3(9):846–860
   PubMedGoogle Scholar
• . Connell LA, Tyson SF. Clinical reality of measuring upper-limb ability in neurologic conditions: a systematic review. Arch Phys Med Rehabil. 2012;93(2):221–228
   PubMed Web of Science ®Google Scholar
• . Lamers I, Feys P. Assessing upper limb function in multiple sclerosis [published online ahead of print March 24, 2014]. Mult Scler. No doi available
   Google Scholar
• . Lamers I, Kelchtermans S, Baert I, Feys P. Upper limb assessment in multiple sclerosis: a systematic review of outcome measures and their psychometric properties. Arch Phys Med Rehabil. 2014;95(6):1184–1200
   PubMed Web of Science ®Google Scholar
• . Platz T, Pinkowski C, van Wijck F, Kim IH, 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):404–411
   PubMed Web of Science ®Google Scholar
• . Bovend'Eerdt TJ, Dawes H, Johansen-Berg H, Wade DT. Evaluation of the Modified Jebsen Test of Hand Function and the University of Maryland Arm Questionnaire for Stroke. Clin Rehabil. 2004;18(2):195–202
   PubMedGoogle Scholar
• . Desrosiers J, Hebert R, Bravo G, Dutil E. Upper extremity performance test for the elderly (TEMPA): normative data and correlates with sensorimotor parameters. Test d'Evaluation des Membres Superieurs de Personnes Agees. Arch Phys Med Rehabil. 1995;76(12):1125–1129
   PubMed Web of Science ®Google Scholar
• . Jebsen RH, Taylor N, Trieschmann RB, Trotter MJ, Howard LA. An objective and standardized test of hand function. Arch Phys Med Rehabil. 1969;50(6):311–319
   PubMedGoogle Scholar
• . Toomey E, Coote S. Between-rater reliability of the 6-Minute Walk Test, Berg Balance Scale, and handheld dynamometry in people with multiple sclerosis. Int J MS Care. 2013;15:1–6
   PubMedGoogle Scholar
• . Hudak PL, Amadio PC, Bombardier C. Development of an upper extremity outcome measure: the DASH (Disabilities of the Arm, Shoulder and Hand) [corrected]. The Upper Extremity Collaborative Group (UECG). Am J Ind Med. 1996;29(6):602–608
   PubMed Web of Science ®Google Scholar
• . Beaton DE, Wright JG, Katz JN. Development of the QuickDASH: comparison of three item-reduction approaches. J Bone Joint Surg Am. 2005;87(5):1038–1046
   PubMed Web of Science ®Google Scholar
• . Nociti V, Batocchi AP, Bartalini S, . Somatosensory evoked potentials reflect the upper limb motor performance in multiple sclerosis. J Neurol Sci. 2008;273(1–2):99–102
   PubMedGoogle Scholar
• . Penta M, Thonnard JL, Tesio L. ABILHAND: a Rasch-built measure of manual ability. Arch Phys Med Rehabil. 1998;79(9):1038–1042
   PubMed Web of Science ®Google Scholar
• . Penta M, Tesio L, Arnould C, Zancan A, Thonnard JL. The ABILHAND questionnaire as a measure of manual ability in chronic stroke patients: Rasch-based validation and relationship to upper limb impairment. Stroke. 2001;32(7):1627–1634
   PubMed Web of Science ®Google Scholar
• . Simone A, Rota V, Tesio L, Perucca L. Generic ABILHAND questionnaire can measure manual ability across a variety of motor impairments. Int J Rehabil Res. 2011;34(2):131–140
   PubMed Web of Science ®Google Scholar
• . Barrett L, Cano S, Zajicek J, Hobart J. Can the ABILHAND handle manual ability in MS? Mult Scler. 2013;19(6):806–815
   PubMedGoogle Scholar
• . Chen CC, Bode RK. Psychometric validation of the Manual Ability Measure-36 (MAM-36) in patients with neurologic and musculoskeletal disorders. Arch Phys Med Rehabil. 2010;91(3):414–420
   PubMedGoogle Scholar
• . Chen CC, Kasven N, Karpatkin HI, Sylvester A. Hand strength and perceived manual ability among patients with multiple sclerosis. Arch Phys Med Rehabil. 2007;88(6):794–797
   PubMed Web of Science ®Google Scholar
• . Gershon RC, Lai JS, Bode R, . Neuro-QOL: quality of life item banks for adults with neurological disorders: item development and calibrations based upon clinical and general population testing. Qual Life Res. 2012;21(3):475–486
   PubMed Web of Science ®Google Scholar
• . Sand IK, Amtmann D, Farrell C, Miller A. Assessing uppeR extremity function in Multiple Sclerosis (ARMS) [abstract]. Mult Scler. 2013;19( Suppl 1):122
   Google Scholar
• . Cella D, Riley W, Stone A, . The Patient-Reported Outcomes Measurement Information System (PROMIS) developed and tested its first wave of adult self-reported health outcome item banks: 2005–2008. J Clin Epidemiol. 2010;63(11):1179–1194
   PubMed Web of Science ®Google Scholar
• . Hays RD, Spritzer KL, Amtmann D, . Upper Extremity and Mobility Subdomains from the Patient-Reported Outcomes Measurement Information System (PROMIS(R)) Adult Physical Functioning Item Bank. Arch Phys Med Rehabil. 2013;94(11):2291–2296
   PubMed Web of Science ®Google Scholar
• . Amtmann D, Cook KF, Johnson KL, Cella D. The PROMIS initiative: involvement of rehabilitation stakeholders in development and examples of applications in rehabilitation research. Arch Phys Med Rehabil. 2011;92( 10 Suppl):S12–S19
   PubMed Web of Science ®Google Scholar