Advertisement
Review article| Volume 95, ISSUE 6, P1184-1200, June 2014

Download started.

Ok

Upper Limb Assessment in Multiple Sclerosis: A Systematic Review of Outcome Measures and their Psychometric Properties

Published:March 17, 2014DOI:https://doi.org/10.1016/j.apmr.2014.02.023

      Abstract

      Objective

      To provide an overview of applied upper limb outcome measures in multiple sclerosis (MS) according to the International Classification of Functioning, Disability and Health (ICF) levels and to review their psychometric properties in MS.

      Data Sources

      PubMed and Web of Knowledge.

      Study Selection

      Articles published until June 2013 were selected when written in English, published in the last 25 years, peer reviewed, including >5 persons with MS, and including standardized clinical upper limb outcome measures. Included articles were screened based on title/abstract and full text by 2 independent reviewers. In case of doubt, feedback from a third independent reviewer was obtained. Additionally, references lists were checked for relevant articles. Of the articles, 109 met the selection criteria and were included for data extraction.

      Data Extraction

      All reported clinical upper limb outcome measures were extracted from the included studies and classified according to the ICF levels by 2 independent reviewers. In addition, available psychometric properties (reliability, validity, responsiveness) in MS were summarized and discussed.

      Data Synthesis

      A diversity of outcome measures assessing impairments on the body functions and structures level (n=33), upper limb capacity (n=11), and performance (n=8) on the activity level were extracted from 109 articles. Hand grip strength and the nine-hole peg test (NHPT) were the most frequently used outcome measures. However, multiple outcome measures are necessary to encapsulate the multidimensional character of the upper limb function. The psychometric properties were insufficiently documented for most of the outcome measures, except for the NHPT.

      Conclusions

      The results of this review may help with the selection of appropriate outcome measures and may guide future research regarding the psychometric properties in MS.

      Keywords

      List of abbreviations:

      ADL (activities of daily living), ARAT (Action Research Arm Test), BBT (Box and Block Test), DASH (Disabilities of the Arm, Shoulder, and Hand), ICF (International Classification of Functioning, Disability and Health), MAL (Motor Activity Log), MAM-36 (Manual Ability Measure-36), MS (multiple sclerosis), NHPT (nine-hole peg test), PwMS (persons with multiple sclerosis)
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Archives of Physical Medicine and Rehabilitation
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Holper L.
        • Coenen M.
        • Weise A.
        • Stucki G.
        • Cieza A.
        • Kesselring J.
        Characterization of functioning in multiple sclerosis using the ICF.
        J Neurol. 2010; 257: 103-113
        • Kierkegaard M.
        • Einarsson U.
        • Gottberg K.
        • von Koch L.
        • Holmqvist L.W.
        The relationship between walking, manual dexterity, cognition and activity/participation in persons with multiple sclerosis.
        Mult Scler. 2012; 18: 639-646
        • Lamers I.
        • Kerkhofs L.
        • Raats J.
        • Kos D.
        • Van Wijmeersch B.
        • Feys P.
        Perceived and actual arm performance in multiple sclerosis: relationship with clinical tests according to hand dominance.
        Mult Scler. 2013; 19: 1341-1348
        • 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: 117-122
        • Ytterberg C.
        • Johansson S.
        • Andersson M.
        • Widen H.L.
        • von Koch L.
        Variations in functioning and disability in multiple sclerosis. A two-year prospective study.
        J Neurol. 2008; 255: 967-973
        • Metcalf C.
        • Adams J.
        • Burridge J.
        • Yule V.
        • Chappell P.
        A review of clinical upper limb assessments within the framework of the WHO ICF.
        Musculoskeletal Care. 2007; 5: 160-173
        • Velstra I.M.
        • Ballert C.S.
        • 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: 846-860
      1. World Health Organization. Classifications. Available at: http://www.who.int/classification/icf/en/. Accessed October 31, 2013.

        • Lemmens R.J.
        • Timmermans A.A.
        • Janssen-Potten Y.J.
        • Smeets R.J.
        • Seelen H.A.
        Valid and reliable instruments for arm-hand assessment at ICF activity level in persons with hemiplegia: a systematic review.
        BMC Neurol. 2012; 12: 21
        • Connell L.A.
        • Tyson S.F.
        Clinical reality of measuring upper-limb ability in neurologic conditions: a systematic review.
        Arch Phys Med Rehabil. 2012; 93: 221-228
        • Lin J.H.
        • Hsu M.J.
        • Sheu C.F.
        • et al.
        Psychometric comparisons of 4 measures for assessing upper-extremity function in people with stroke.
        Phys Ther. 2009; 89: 840-850
        • 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: 404-411
        • Feys P.
        • Duportail M.
        • Kos D.
        • Van A.P.
        • Ketelaer P.
        Validity of the TEMPA for the measurement of upper limb function in multiple sclerosis.
        Clin Rehabil. 2002; 16: 166-173
        • Portney L.G.
        • Watkins M.P.
        Foundations of clinical research: applications to practice.
        Pearson Prentice Hall, Upper Saddle River2009
        • von Elm E.
        • Altman D.G.
        • Egger M.
        • Pocock S.J.
        • Gotzsche P.C.
        • Vandenbroucke J.P.
        The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: guidelines for reporting observational studies.
        J Clin Epidemiol. 2008; 61: 344-349
        • Petticrew M.
        • Roberts H.
        Systematic reviews in the social sciences: a practical guide.
        Blackwell, Madden2006
        • McDowell I.
        Measuring health: a guide to rating scales and questionnaires.
        Oxford Univ Pr, New York2006
        • Weinstein S.
        Fifty years of somatosensory research: from the Semmes-Weinstein monofilaments to the Weinstein Enhanced Sensory Test.
        J Hand Ther. 1993; 6: 11-22
        • Bohannon R.W.
        • Smith M.B.
        Interrater reliability of a modified Ashworth scale of muscle spasticity.
        Phys Ther. 1987; 67: 206-207
        • Hooper J.
        • Taylor R.
        • Pentland B.
        • Whittle I.R.
        Rater reliability of Fahn's tremor rating scale in patients with multiple sclerosis.
        Arch Phys Med Rehabil. 1998; 79: 1076-1079
        • Cutter G.R.
        • Baier M.L.
        • Rudick R.A.
        • et al.
        Development of a multiple sclerosis functional composite as a clinical trial outcome measure.
        Brain. 1999; 122: 871-882
        • 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: 386-391
        • Lyle R.C.
        A performance test for assessment of upper limb function in physical rehabilitation treatment and research.
        Int J Rehabil Res. 1981; 4: 483-492
        • Jebsen R.H.
        • Taylor N.
        • Trieschmann R.B.
        • Trotter M.J.
        • Howard L.A.
        An objective and standardized test of hand function.
        Arch Phys Med Rehabil. 1969; 50: 311-319
        • Tiffin J.
        • Asher E.J.
        The Purdue pegboard; norms and studies of reliability and validity.
        J Appl Psychol. 1948; 32: 234-247
        • Penta M.
        • Thonnard J.L.
        • Tesio L.
        ABILHAND: a Rasch-built measure of manual ability.
        Arch Phys Med Rehabil. 1998; 79: 1038-1042
        • Taub E.
        • Miller N.E.
        • Novack T.A.
        • et al.
        Technique to improve chronic motor deficit after stroke.
        Arch Phys Med Rehabil. 1993; 74: 347-354
        • Schwartz C.E.
        • Vollmer T.
        • Lee H.
        Reliability and validity of two self-report measures of impairment and disability for MS. North American Research Consortium on Multiple Sclerosis Outcomes Study Group.
        Neurology. 1999; 52: 63-70
        • Uswatte G.
        • Foo W.L.
        • Olmstead H.
        • Lopez K.
        • Holand A.
        • Simms L.B.
        Ambulatory monitoring of arm movement using accelerometry: an objective measure of upper-extremity rehabilitation in persons with chronic stroke.
        Arch Phys Med Rehabil. 2005; 86: 1498-1501
        • Vergaro E.
        • Squeri V.
        • Brichetto G.
        • et al.
        Adaptive robot training for the treatment of incoordination in multiple sclerosis.
        J Neuroeng Rehabil. 2010; 7: 37
        • Alusi S.H.
        • Worthington J.
        • Glickman S.
        • Findley L.J.
        • Bain P.G.
        Evaluation of three different ways of assessing tremor in multiple sclerosis.
        J Neurol Neurosurg Psychiatry. 2000; 68: 756-760
        • Alusi S.H.
        • Worthington J.
        • Glickman S.
        • Bain P.G.
        A study of tremor in multiple sclerosis.
        Brain. 2001; 124: 720-730
        • Rasova K.
        • Martinkova P.
        • Vyskotova J.
        • Sedova M.
        Assessment set for evaluation of clinical outcomes in multiple sclerosis: psychometric properties.
        Patient Relat Outcome Meas. 2012; 3: 59-70
        • Pittock S.J.
        • McClelland R.L.
        • Mayr W.T.
        • Rodriguez M.
        • Matsumoto J.Y.
        Prevalence of tremor in multiple sclerosis and associated disability in the Olmsted County population.
        Mov Disord. 2004; 19: 1482-1485
        • Feys P.
        • Helsen W.F.
        • Lavrysen A.
        • Nuttin B.
        • Ketelaer P.
        Intention tremor during manual aiming: a study of eye and hand movements.
        Mult Scler. 2003; 9: 44-54
        • Feys P.G.
        • Davies-Smith A.
        • Jones R.
        • et al.
        Intention tremor rated according to different finger-to-nose test protocols: a survey.
        Arch Phys Med Rehabil. 2003; 84: 79-82
        • Erasmus L.P.
        • Sarno S.
        • Albrecht H.
        • Schwecht M.
        • Pollmann W.
        • Konig N.
        Measurement of ataxic symptoms with a graphic tablet: standard values in controls and validity in multiple sclerosis patients.
        J Neurosci Methods. 2001; 108: 25-37
        • Carpinella I.
        • Cattaneo D.
        • Abuarqub S.
        • Ferrarin M.
        Robot-based rehabilitation of the upper limbs in multiple sclerosis: feasibility and preliminary results.
        J Rehabil Med. 2009; 41: 966-970
        • Capello E.
        • Gardella M.
        • Leandri M.
        • et al.
        Lowering body temperature with a cooling suit as symptomatic treatment for thermosensitive multiple sclerosis patients.
        Ital J Neurol Sci. 1995; 16: 533-539
        • Bonzano L.
        • Sormani M.P.
        • Tacchino A.
        • et al.
        Quantitative assessment of finger motor impairment in multiple sclerosis.
        PLoS One. 2013; 8: e65225
        • Lamers I.
        • Timmermans A.A.
        • Kerkhofs L.
        • Severijns D.
        • Van Wijmeersch B.
        • Feys P.
        Self-reported use of the upper limbs related to clinical tests in persons with multiple sclerosis.
        Disabil Rehabil. 2013; 35: 2016-2020
        • Marwaha R.
        • Hall S.J.
        • Knight C.A.
        • Jaric S.
        Load and grip force coordination in static bimanual manipulation tasks in multiple sclerosis.
        Motor Control. 2006; 10: 160-177
        • Taylor N.F.
        • Dodd K.J.
        • Prasad D.
        • Denisenko S.
        Progressive resistance exercise for people with multiple sclerosis.
        Disabil Rehabil. 2006; 28: 1119-1126
        • Schwid S.R.
        • Thornton C.A.
        • Pandya S.
        • et al.
        Quantitative assessment of motor fatigue and strength in MS.
        Neurology. 1999; 53: 743-750
        • Kiselka A.
        • Greisberger A.
        • Heller M.
        Perception of muscular effort in multiple sclerosis.
        NeuroRehabilitation. 2013; 32: 415-423
        • Romberg A.
        • Virtanen A.
        • Ruutiainen J.
        • et al.
        Effects of a 6-month exercise program on patients with multiple sclerosis: a randomized study.
        Neurology. 2004; 63: 2034-2038
        • Paltamaa J.
        • West H.
        • Sarasoja T.
        • Wikstrom J.
        • Malkia E.
        Reliability of physical functioning measures in ambulatory subjects with MS.
        Physiother Res Int. 2005; 10: 93-109
        • Paltamaa J.
        • Sarasoja T.
        • Leskinen E.
        • Wikstrom J.
        • Malkia E.
        Measuring deterioration in international classification of functioning domains of people with multiple sclerosis who are ambulatory.
        Phys Ther. 2008; 88: 176-190
        • Meyer-Heim A.
        • Rothmaier M.
        • Weder M.
        • Kool J.
        • Schenk P.
        • Kesselring J.
        Advanced lightweight cooling-garment technology: functional improvements in thermosensitive patients with multiple sclerosis.
        Mult Scler. 2007; 13: 232-237
        • Reynolds L.F.
        • Short C.A.
        • Westwood D.A.
        • Cheung S.S.
        Head pre-cooling improves symptoms of heat-sensitive multiple sclerosis patients.
        Can J Neurol Sci. 2011; 38: 106-111
        • Sabapathy N.M.
        • Minahan C.L.
        • Turner G.T.
        • Broadley S.A.
        Comparing endurance- and resistance-exercise training in people with multiple sclerosis: a randomized pilot study.
        Clin Rehabil. 2011; 25: 14-24
        • Bovend'Eerdt T.J.
        • Dawes H.
        • Johansen-Berg H.
        • Wade D.T.
        Evaluation of the Modified Jebsen Test of Hand Function and the University of Maryland Arm Questionnaire for Stroke.
        Clin Rehabil. 2004; 18: 195-202
        • Chen C.C.
        • Kasven N.
        • Karpatkin H.I.
        • Sylvester A.
        Hand strength and perceived manual ability among patients with multiple sclerosis.
        Arch Phys Med Rehabil. 2007; 88: 794-797
        • Guclu-Gunduz A.
        • Citaker S.
        • Nazliel B.
        • Irkec C.
        Upper extremity function and its relation with hand sensation and upper extremity strength in patients with multiple sclerosis.
        NeuroRehabilitation. 2012; 30: 369-374
        • Iyengar V.
        • Santos M.J.
        • Ko M.
        • Aruin A.S.
        Grip force control in individuals with multiple sclerosis.
        Neurorehabil Neural Repair. 2009; 23: 855-861
        • Iyengar V.
        • Santos M.J.
        • Ko M.
        • Aruin A.S.
        Effect of contralateral finger touch on grip force control in individuals with multiple sclerosis.
        Clin Neurophysiol. 2009; 120: 626-631
        • Paltamaa J.
        • Sarasoja T.
        • Leskinen E.
        • Wikstrom J.
        • Malkia E.
        Measures of physical functioning predict self-reported performance in self-care, mobility, and domestic life in ambulatory persons with multiple sclerosis.
        Arch Phys Med Rehabil. 2007; 88: 1649-1657
        • Romberg A.
        • Ikonen A.
        • Ruutiainen J.
        • Virtanen A.
        • Hamalainen P.
        The effects of heat stress on physical functioning in persons with multiple sclerosis.
        J Neurol Sci. 2012; 319: 42-46
        • 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: 131-140
        • Gijbels D.
        • Lamers I.
        • Kerkhofs L.
        • Alders G.
        • Knippenberg E.
        • Feys P.
        The Armeo Spring as training tool to improve upper limb functionality in multiple sclerosis: a pilot study.
        J Neuroeng Rehabil. 2011; 8: 5
        • Kinnman J.
        • Andersson U.
        • Wetterquist L.
        • Kinnman Y.
        • Andersson U.
        Cooling suit for multiple sclerosis: functional improvement in daily living?.
        Scand J Rehabil Med. 2000; 32: 20-24
        • Salem Y.
        • Scott A.H.
        • Karpatkin H.
        • et al.
        Community-based group aquatic programme for individuals with multiple sclerosis: a pilot study.
        Disabil Rehabil. 2011; 33: 720-728
        • Vikman T.
        • Fielding P.
        • Lindmark B.
        • Frederikson S.
        Effects of inpatient rehabilitation in multiple sclerosis patients with moderate disability.
        Adv Physiother. 2008; 10: 58-65
        • Keser I.
        • Meric A.
        • Kirdi N.
        • Kurne A.
        • Karabudak R.
        Comparing routine neurorehabilitation programme with callisthenic exercises in multiple sclerosis.
        NeuroRehabilitation. 2011; 29: 91-98
        • Petajan J.H.
        • Gappmaier E.
        • White A.T.
        • Spencer M.K.
        • Mino L.
        • Hicks R.W.
        Impact of aerobic training on fitness and quality of life in multiple sclerosis.
        Ann Neurol. 1996; 39: 432-441
        • Anwar K.
        • Barnes M.P.
        A pilot study of a comparison between a patient scored numeric rating scale and clinician scored measures of spasticity in multiple sclerosis.
        NeuroRehabilitation. 2009; 24: 333-340
        • Kamm C.P.
        • Heldner M.R.
        • Vanbellingen T.
        • Mattle H.P.
        • Muri R.
        • Bohlhalter S.
        Limb apraxia in multiple sclerosis: prevalence and impact on manual dexterity and activities of daily living.
        Arch Phys Med Rehabil. 2012; 93: 1081-1085
        • Verza R.
        • Battaglia M.A.
        • Uccelli M.M.
        Manual wheelchair propulsion pattern use by people with multiple sclerosis.
        Disabil Rehabil Assist Technol. 2010; 5: 314-317
        • Osterberg A.
        • Boivie J.
        Central pain in multiple sclerosis - sensory abnormalities.
        Eur J Pain. 2010; 14: 104-110
        • Svendsen K.B.
        • Jensen T.S.
        • Hansen H.J.
        • Bach F.W.
        Sensory function and quality of life in patients with multiple sclerosis and pain.
        Pain. 2005; 114: 473-481
        • Cuypers K.
        • Levin O.
        • Thijs H.
        • Swinnen S.P.
        • Meesen R.L.
        Long-term TENS treatment improves tactile sensitivity in MS patients.
        Neurorehabil Neural Repair. 2010; 24: 420-427
        • Merchut M.P.
        • Gruener G.
        Quantitative sensory threshold testing in patients with multiple sclerosis.
        Electromyogr Clin Neurophysiol. 1993; 33: 119-124
        • Farrar J.T.
        • Troxel A.B.
        • Stott C.
        • Duncombe P.
        • Jensen M.P.
        Validity, reliability, and clinical importance of change in a 0-10 numeric rating scale measure of spasticity: a post hoc analysis of a randomized, double-blind, placebo-controlled trial.
        Clin Ther. 2008; 30: 974-985
        • Nogueira L.
        • Corradi R.
        • Eastham J.A.
        Prostatic specific antigen for prostate cancer detection.
        Int Braz J Urol. 2009; 35: 521-529
        • Hermens H.
        • Huijgen B.
        • Giacomozzi C.
        • et al.
        Clinical assessment of the HELLODOC tele-rehabilitation service.
        Ann Ist Super Sanita. 2008; 44: 154-163
        • Huijgen B.C.
        • Vollenbroek-Hutten M.M.
        • Zampolini M.
        • et al.
        Feasibility of a home-based telerehabilitation system compared to usual care: arm/hand function in patients with stroke, traumatic brain injury and multiple sclerosis.
        J Telemed Telecare. 2008; 14: 249-256
        • de Groot V.
        • Beckerman H.
        • Uitdehaag B.M.
        • et al.
        The usefulness of evaluative outcome measures in patients with multiple sclerosis.
        Brain. 2006; 129: 2648-2659
        • Goodkin D.E.
        • Hertsgaard D.
        • Seminary J.
        Upper extremity function in multiple sclerosis: improving assessment sensitivity with box-and-block and nine-hole peg tests.
        Arch Phys Med Rehabil. 1988; 69: 850-854
        • Jones L.
        • Lewis Y.
        • Harrson J.
        • Wiles C.M.
        The effectiveness of occupational therapy and physiotherapy in multiple sclerosis patients with ataxia of the upper limb and trunk.
        Clin Rehabil. 1996; 10: 227-282
        • Kitis A.
        • Altug F.
        • Cavlak U.
        • Akdag B.
        Comparison of the physical and non-physical functioning between the patients with multiple sclerosis and healthy subjects.
        Neurosciences (Riyadh). 2008; 13: 29-36
        • Krishnan V.
        • Jaric S.
        Hand function in multiple sclerosis: force coordination in manipulation tasks.
        Clin Neurophysiol. 2008; 119: 2274-2281
        • Einarsson U.
        • Gottberg K.
        • von Koch L.
        • et al.
        Cognitive and motor function in people with multiple sclerosis in Stockholm County.
        Mult Scler. 2006; 12: 340-353
        • Johnson S.K.
        • Frederick J.
        • Kaufman M.
        • Mountjoy B.
        A controlled investigation of bodywork in multiple sclerosis.
        J Altern Complement Med. 1999; 5: 237-243
        • Romberg A.
        • Virtanen A.
        • Ruutiainen J.
        Long-term exercise improves functional impairment but not quality of life in multiple sclerosis.
        J Neurol. 2005; 252: 839-845
        • Schwid S.R.
        • Petrie M.D.
        • Murray R.
        • et al.
        A randomized controlled study of the acute and chronic effects of cooling therapy for MS.
        Neurology. 2003; 60: 1955-1960
        • Storr L.K.
        • Sorensen P.S.
        • Ravnborg M.
        The efficacy of multidisciplinary rehabilitation in stable multiple sclerosis patients.
        Mult Scler. 2006; 12: 235-242
        • Wiles C.M.
        • Newcombe R.G.
        • Fuller K.J.
        • et al.
        Controlled randomised crossover trial of the effects of physiotherapy on mobility in chronic multiple sclerosis.
        J Neurol Neurosurg Psychiatry. 2001; 70: 174-179
        • Benedict R.H.
        • Holtzer R.
        • Motl R.W.
        • et al.
        Upper and lower extremity motor function and cognitive impairment in multiple sclerosis.
        J Int Neuropsychol Soc. 2011; 17: 643-653
        • Bosma L.V.
        • Kragt J.J.
        • Brieva L.
        • et al.
        The search for responsive clinical endpoints in primary progressive multiple sclerosis.
        Mult Scler. 2009; 15: 715-720
        • Bosma L.V.
        • Kragt J.J.
        • Brieva L.
        • et al.
        Progression on the Multiple Sclerosis Functional Composite in multiple sclerosis: what is the optimal cut-off for the three components?.
        Mult Scler. 2010; 16: 862-867
        • Cohen J.A.
        • Fischer J.S.
        • Bolibrush D.M.
        • et al.
        Intrarater and interrater reliability of the MS functional composite outcome measure.
        Neurology. 2000; 54: 802-806
        • Cohen J.A.
        • Cutter G.R.
        • Fischer J.S.
        • et al.
        Use of the multiple sclerosis functional composite as an outcome measure in a phase 3 clinical trial.
        Arch Neurol. 2001; 58: 961-967
        • Drake A.S.
        • Weinstock-Guttman B.
        • Morrow S.A.
        • Hojnacki D.
        • Munschauer F.E.
        • Benedict R.H.
        Psychometrics and normative data for the Multiple Sclerosis Functional Composite: replacing the PASAT with the Symbol Digit Modalities Test.
        Mult Scler. 2010; 16: 228-237
        • Fox R.J.
        • Lee J.C.
        • Rudick R.A.
        Optimal reference population for the multiple sclerosis functional composite.
        Mult Scler. 2007; 13: 909-914
        • Gottberg K.
        • Einarsson U.
        • Fredrikson S.
        • von Koch L.
        • Holmqvist L.W.
        A population-based study of depressive symptoms in multiple sclerosis in Stockholm county: association with functioning and sense of coherence.
        J Neurol Neurosurg Psychiatry. 2007; 78: 60-65
        • Heremans E.
        • D'hooge A.M.
        • De Bondt S.
        • Helsen W.
        • Feys P.
        The relation between cognitive and motor dysfunction and motor imagery ability in patients with multiple sclerosis.
        Mult Scler. 2012; 18: 1303-1309
        • Hirst C.L.
        • Ingram G.
        • Pickersgill T.P.
        • Robertson N.P.
        Temporal evolution of remission following multiple sclerosis relapse and predictors of outcome.
        Mult Scler. 2012; 18: 1152-1158
        • Hobart J.
        • Kalkers N.
        • Barkhof F.
        • Uitdehaag B.
        • Polman C.
        • Thompson A.
        Outcome measures for multiple sclerosis clinical trials: relative measurement precision of the Expanded Disability Status Scale and Multiple Sclerosis Functional Composite.
        Mult Scler. 2004; 10: 41-46
        • Hoogervorst E.L.
        • Kalkers N.F.
        • Uitdehaag B.M.
        • Polman C.H.
        A study validating changes in the multiple sclerosis functional composite.
        Arch Neurol. 2002; 59: 113-116
        • Hoogervorst E.L.
        • Kalkers N.F.
        • Cutter G.R.
        • Uitdehaag B.M.
        • Polman C.H.
        The patient's perception of a (reliable) change in the Multiple Sclerosis Functional Composite.
        Mult Scler. 2004; 10: 55-60
        • Kalkers N.F.
        • de Groot V.
        • Lazeron R.H.
        • et al.
        MS functional composite: relation to disease phenotype and disability strata.
        Neurology. 2000; 54: 1233-1239
        • Kalkers N.F.
        • Bergers L.
        • de Groot V.
        • et al.
        Concurrent validity of the MS Functional Composite using MRI as a biological disease marker.
        Neurology. 2001; 56: 215-219
        • Kragt J.J.
        • van der Linden F.A.
        • Nielsen J.M.
        • Uitdehaag B.M.
        • Polman C.H.
        Clinical impact of 20% worsening on Timed 25-foot Walk and 9-hole Peg Test in multiple sclerosis.
        Mult Scler. 2006; 12: 594-598
        • Kragt J.J.
        • Nielsen I.M.
        • van der Linden F.A.
        • Uitdehaag B.M.
        • Polman C.H.
        How similar are commonly combined criteria for EDSS progression in multiple sclerosis?.
        Mult Scler. 2006; 12: 782-786
        • Kragt J.J.
        • Thompson A.J.
        • Montalban X.
        • et al.
        Responsiveness and predictive value of EDSS and MSFC in primary progressive MS.
        Neurology. 2008; 70: 1084-1091
        • Marrie R.A.
        • Goldman M.
        Validity of performance scales for disability assessment in multiple sclerosis.
        Mult Scler. 2007; 13: 1176-1182
        • Miller D.M.
        • Rudick R.A.
        • Cutter G.
        • Baier M.
        • Fischer J.S.
        Clinical significance of the multiple sclerosis functional composite: relationship to patient-reported quality of life.
        Arch Neurol. 2000; 57: 1319-1324
        • Ozakbas S.
        • Cagiran I.
        • Ormeci B.
        • Idiman E.
        Correlations between multiple sclerosis functional composite, expanded disability status scale and health-related quality of life during and after treatment of relapses in patients with multiple sclerosis.
        J Neurol Sci. 2004; 218: 3-7
        • Ozakbas S.
        • Ormeci B.
        • Idiman E.
        Utilization of the multiple sclerosis functional composite in follow-up: relationship to disease phenotype, disability and treatment strategies.
        J Neurol Sci. 2005; 232: 65-69
        • Provinciali L.
        • Ceravolo M.G.
        • Bartolini M.
        • Logullo F.
        • Danni M.
        A multidimensional assessment of multiple sclerosis: relationships between disability domains.
        Acta Neurol Scand. 1999; 100: 156-162
        • Rosti-Otajarvi E.
        • Hamalainen P.
        • Koivisto K.
        • Hokkanen L.
        The reliability of the MSFC and its components.
        Acta Neurol Scand. 2008; 117: 421-427
        • Rudick R.A.
        • Cutter G.
        • Baier M.
        • et al.
        Use of the Multiple Sclerosis Functional Composite to predict disability in relapsing MS.
        Neurology. 2001; 56: 1324-1330
        • Rudick R.A.
        • Polman C.H.
        • Cohen J.A.
        • et al.
        Assessing disability progression with the Multiple Sclerosis Functional Composite.
        Mult Scler. 2009; 15: 984-997
        • Schwid S.R.
        • Goodman A.D.
        • McDermott M.P.
        • Bever C.F.
        • Cook S.D.
        Quantitative functional measures in MS: what is a reliable change?.
        Neurology. 2002; 58: 1294-1296
        • Shawaryn M.A.
        • Schultheis M.T.
        • Garay E.
        • DeLuca J.
        Assessing functional status: exploring the relationship between the multiple sclerosis functional composite and driving.
        Arch Phys Med Rehabil. 2002; 83: 1123-1129
        • Solari A.
        • Radice D.
        • Manneschi L.
        • Motti L.
        • Montanari E.
        The multiple sclerosis functional composite: different practice effects in the three test components.
        J Neurol Sci. 2005; 228: 71-74
        • Tomassini V.
        • Johansen-Berg H.
        • Leonardi L.
        • et al.
        Preservation of motor skill learning in patients with multiple sclerosis.
        Mult Scler. 2011; 17: 103-115
        • Uitdehaag B.M.
        • Ader H.J.
        • Roosma T.J.
        • de Groot V.
        • Kalkers N.F.
        • Polman C.H.
        Multiple sclerosis functional composite: impact of reference population and interpretation of changes.
        Mult Scler. 2002; 8: 366-371
        • van Winsen L.M.
        • Kragt J.J.
        • Hoogervorst E.L.
        • Polman C.H.
        • Uitdehaag B.M.
        Outcome measurement in multiple sclerosis: detection of clinically relevant improvement.
        Mult Scler. 2010; 16: 604-610
        • Vaney C.
        • Vaney S.
        • Wade D.T.
        SaGAS, the Short and Graphic Ability Score: an alternative scoring method for the motor components of the Multiple Sclerosis Functional Composite.
        Mult Scler. 2004; 10: 231-242
        • Johansson S.
        • Ytterberg C.
        • Claesson I.M.
        • et al.
        High concurrent presence of disability in multiple sclerosis. Associations with perceived health.
        J Neurol. 2007; 254: 767-773
        • Kotterba S.
        • Orth M.
        • Eren E.
        • Fangerau T.
        • Sindern E.
        Assessment of driving performance in patients with relapsing-remitting multiple sclerosis by a driving simulator.
        Eur Neurol. 2003; 50: 160-164
        • Beatty W.W.
        • Monson N.
        Picture and motor sequencing in multiple sclerosis.
        J Clin Exp Neuropsychol. 1994; 16: 165-172
        • Gallus J.
        • Mathiowetz V.
        Test-retest reliability of the Purdue Pegboard for persons with multiple sclerosis.
        Am J Occup Ther. 2003; 57: 108-111
        • Mark V.W.
        • Taub E.
        • Bashir K.
        • et al.
        Constraint-Induced Movement therapy can improve hemiparetic progressive multiple sclerosis. Preliminary findings.
        Mult Scler. 2008; 14: 992-994
        • Barrett L.
        • Cano S.
        • Zajicek J.
        • Hobart J.
        Can the ABILHAND handle manual ability in MS?.
        Mult Scler. 2013; 19: 806-815
        • Cano S.J.
        • Barrett L.E.
        • Zajicek J.P.
        • Hobart J.C.
        Beyond the reach of traditional analyses: using Rasch to evaluate the DASH in people with multiple sclerosis.
        Mult Scler. 2011; 17: 214-222
        • Chen C.C.
        • Bode R.K.
        Psychometric validation of the Manual Ability Measure-36 (MAM-36) in patients with neurologic and musculoskeletal disorders.
        Arch Phys Med Rehabil. 2010; 91: 414-420
        • Schwartz C.E.
        • Bode R.K.
        • Vollmer T.
        The symptom inventory disability-specific short forms for multiple sclerosis: reliability and factor structure.
        Arch Phys Med Rehabil. 2012; 93: 1629-1636
        • Kos D.
        • Nagels G.
        • D'hooghe M.B.
        • et al.
        Measuring activity patterns using actigraphy in multiple sclerosis.
        Chronobiol Int. 2007; 24: 345-356