Validity, reliability and ease of use of the disabilities of arm, shoulder and hand questionnaire in adults following stroke

References

• Zorowitz R, Gross E, Polinski D. The stroke survivor. Disabil Rehabil. 2002;24:666–679.
   PubMed Web of Science ®Google Scholar
• Faria-Fortini I, Michaelsen SM, Cassiano JG, et al. Upper extremity function in stroke subjects: relationships between the International Classification of Functioning, Disability, and Health Domains. J Hand Ther. 2011;24:257–265.
   PubMed Web of Science ®Google Scholar
• Morris JH, van Wijck F, Joice S, et al. Predicting health related quality of life 6 months after stroke: the role of anxiety and upper limb dysfunction. Disabil Rehabil. 2013;35:291–299.
   PubMed Web of Science ®Google Scholar
• Houwink A, Nijland RH, Geurts AC, et al. Functional recovery of the paretic upper limb after stroke: who regains hand capacity? Arch Phys Med Rehabil. 2013;94:839–844.
   PubMed Web of Science ®Google Scholar
• Royal College of Physicians. National clinical guidelines for stroke. London: Royal College of Physicians; 2012.
   Google Scholar
• Ashford S, Slade M, Malaprade F, et al. Evaluation of functional outcome measures for the hemiparetic upper limb: a systematic review. J Rehabil Med. 2008;40:787–795.
   PubMed Web of Science ®Google Scholar
• Murphy MA, Resteghini C, Feys P, et al. An overview of systematic reviews on upper extremity outcome measures after stroke. BMC Neurol. 2015;15:1–15.
   PubMed Web of Science ®Google 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). [Erratum appears in Am J Ind Med 1996 Sep;30(3):372]. Am J Ind Med. 1996;29:602–608.
   PubMed Web of Science ®Google Scholar
• Dunn W. Measurement issues and practice. In: Law M, Baum C, Dunn W, editors. Measuring occupational performance: supporting best practice in occupational therapy. Thorofare: Slack Incorporated; 2005. p. 21–32.
   Google Scholar
• Ashford S, Turner-Stokes L, Siegert R, et al. Initial psychometric evaluation of the Arm Activity Measure (ArmA): a measure of activity in the hemiparetic arm. Clin Rehabil. 2013;27:728–740.
   PubMed Web of Science ®Google Scholar
• Angst F, Schwyzer HK, Aeschlimann A, et al. Measures of adult shoulder function: Disabilities of the Arm, Shoulder, and Hand Questionnaire (DASH) and its short version (QuickDASH), Shoulder Pain and Disability Index (SPADI), American Shoulder and Elbow Surgeons (ASES) Society standardized shoulder assessment form, Constant (Murley) Score (CS), Simple Shoulder Test (SST), Oxford Shoulder Score (OSS), Shoulder Disability Questionnaire (SDQ), and Western Ontario Shoulder Instability Index (WOSI). Arthritis Care Res. 2011;63:S174–S188.
   Web of Science ®Google Scholar
• Angst F, Goldhahn J, Drerup S, et al. Responsiveness of five outcome measurement instruments in total elbow arthroplasty. Arthritis Care Res. 2012;64:1749–1755.
   Web of Science ®Google Scholar
• Slobogean GP, Noonan VK, O'Brien PJ. The reliability and validity of the Disabilities of Arm, Shoulder, and Hand, EuroQol-5D, Health Utilities Index, and Short Form-6D outcome instruments in patients with proximal humeral fractures. J Shoulder Elbow Surg. 2010;19:342–348.
   PubMed Web of Science ®Google Scholar
• Dias JJ, Rajan RA, Thompson JR. Which questionnaire is best? The reliability, validity and ease of use of the patient evaluation measure, the disabilities of the arm, shoulder and hand and the Michigan hand outcome measure. J Hand Surg. 2008;33:9–17.
   PubMed Web of Science ®Google Scholar
• Changulani M, Okonkwo U, Keswani T, et al. Outcome evaluation measures for wrist and hand: which one to choose? Int Orthoped. 2008;32:1–6.
   PubMed Web of Science ®Google Scholar
• Roy J, Macdermid J, Woodhouse L. Measuring shoulder function: a systematic review of four questionnaires. Arthritis Care Res. 2009;61:623–632.
   Web of Science ®Google Scholar
• Beaton D, Davis A, Hudak P, et al. The DASH (Disabilities of the Arm, Shoulder and Hand) outcome measure: what do we know about it now? Br J Hand Ther. 2001;6:109–118.
   Google Scholar
• Lovgren A, Hellstrom K. Reliability and validity of measurement and associations between disability and behavioral factors in patients with Colles' fracture. Physiother Theory Pract. 2012;28:188–197.
   PubMedGoogle Scholar
• Beaton D, Katz J, Fossel A, et al. Measuring the whole or the parts? Validity, reliability, and responsiveness of the disabilities of the arm, shoulder and hand outcome measure in different regions of the upper extremity. J Hand Ther. 2001;14:128–146.
   PubMedGoogle Scholar
• Bot S, Terwee C, Van Der Windt D, et al. Clinimetric evaluation of shoulder disability questionnaires: a systematic review of the literature. Ann Rheumat Dis. 2004;63:335–341.
   PubMed Web of Science ®Google Scholar
• Sambandam SN, Priyanka P, Gul A, et al. Critical analysis of outcome measures used in the assessment of carpal tunnel syndrome. Int Orthoped. 2008;32:497–504.
   PubMed Web of Science ®Google Scholar
• Hill BE, Williams G, Bialocerkowski AE. Clinimetric evaluation of questionnaires used to assess activity after traumatic brachial plexus injury in adults: a systematic review. Arch Phys Med Rehabil. 2011;92:2082–2089.
   PubMed Web of Science ®Google Scholar
• McDermott A, Korner-Bitensky N. 2013 3 February. Disabilities of Arm, Shoulder and Hand (DASH). Canadian Stroke Network; [cited 2014 Feb 3]. Available from http://strokengine.ca/assess/module_dash_intro-en.html%3E.
   Google Scholar
• Hu X, Tong K, Wei X, et al. The effects of post-stroke upper-limb training with an electromyography (EMG)-driven hand robot. J Electromyogr Kinesiol. 2013;23:1065–1074.
   PubMed Web of Science ®Google Scholar
• Hijmans JM, Hale LA, Satherley JA, et al. Bilateral upper-limb rehabilitation after stroke using a movement-based game controller. J Rehabil Res Dev. 2011;48:1005.
   PubMed Web of Science ®Google Scholar
• Downie S. Concurrent validity of the Upper Limb Assessment Tool (ULAT) for acute neurological patients. NZ J Occup Ther. 2013;59:19–28.
   Google Scholar
• Lannin N, Cusick A, McCluskey A, et al. Effects of splinting on wrist contracture after stroke a randomized controlled trial. Stroke. 2007;38:111–116.
   PubMed Web of Science ®Google Scholar
• Ross L, Harvey L, Lannin N. Do people with acquired brain impairment benefit from additional therapy specifically directed at the hand? A randomized controlled trial. Clin Rehabil. 2009;23:492–503.
   PubMed Web of Science ®Google Scholar
• Molloy DW, Alemayehu E, Roberts R. Reliability of a standardized mini-mental state examination compared with the traditional mini-mental state examination. Am J Psychiatry. 1991;148:102–105.
   PubMed Web of Science ®Google Scholar
• Folstein MF, Folstein SE, McHugh PR. “Mini-mental state”: a practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12:189–198.
   PubMed Web of Science ®Google Scholar
• Cumming T, Churilov L, Lindén T, et al. Montreal Cognitive Assessment and Mini–Mental State Examination are both valid cognitive tools in stroke. Acta Neurol Scand. 2013;128:122–129.
   PubMed Web of Science ®Google Scholar
• Lannin N. Reliability, validity and factor structure of the upper limb subscale of the Motor Assessment Scale (UL-MAS) in adults following stroke. Disabil Rehabil. 2004;26:109–116.
   PubMed Web of Science ®Google Scholar
• Carr JH, Shepherd RB, Nordholm L, et al. Investigation of a new motor assessment scale for stroke patients. Phys Ther. 1985;65:175–180.
   PubMed Web of Science ®Google Scholar
• MacDermid J. Development of a scale for patient rating of wrist pain and disability. J Hand Ther. 1996;9:178–183.
   PubMedGoogle Scholar
• Bialocerkowski A. Patient rated wrist evaluation. Aust J Physiother. 2008;54:221–221.
   Web of Science ®Google Scholar
• MacDermid J, Tottenham V. Responsiveness of the Disability of the Arm, Shoulder, and Hand (DASH) and Patient-Rated Wrist/Hand Evaluation (PRWHE) in evaluating change after hand therapy. J Hand Ther. 2004;17:18–23.
   PubMedGoogle Scholar
• IMB Corp. IMB SPSS Statistics for Windows, Version 21.0. Armonk (NY): IMB Corp; 2012.
   Google Scholar
• Linacre JM. Winsteps^® Rasch measurement computer program. Beaverton, Oregon: Winsteps; 2015.
   Google Scholar
• Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika. 1951;16:297–334.
   Web of Science ®Google Scholar
• Bland JM, Altman DG. Statistics notes: Cronbach's alpha. BMJ. 1997;314:572.
   PubMed Web of Science ®Google Scholar
• Nunnally J, Bernstein I. Psychometric theory. New York: McGraw-Hill; 1996.
   Google Scholar
• Bond TG, Fox CM. Applying the Rasch model: fundamental measurement in the human sciences. London: Psychology Press; 2013.
   Google Scholar
• Hauke J, Kossowski T. Comparison of values of Pearson's and Spearman's correlation coefficients on the same sets of data. Quaest Geograph. 2011;30:87–93.
   Google Scholar
• Anastasi A, Urbina S. Psychological testing. New Jersey: Prentice Hill; 1997.
   Google Scholar
• Nunnally J, Bernstein I. Psychometric theory. New York: McGraw; 1994.
   Google Scholar
• de Vaus Analyzing social science data: 50 key problems in data analysis. Thousand Oaks (CA): Sage; 2002.
   Google Scholar
• Traub R. Reliability for the social sciences: theory and application. Thousand Oaks (CA): Sage; 1994.
   Google Scholar
• Muthén LK, Muthén BO. Mplus (Version 5.1). Los Angeles (CA): Muthén & Muthén; 2008.
   Google Scholar
• Linacre JM. Optimizing rating scale category effectiveness. J Appl Measure. 2002;3:85–106.
   PubMedGoogle Scholar
• Visser M, Smets E, Sprangers M, et al. How response shift may affect the measurement of change in fatigue. J Pain Symptom Manage. 1979;20:12–18.
   Web of Science ®Google Scholar