A Multidisciplinary Cross-Cultural Measurement of Functioning After Stroke: Rasch Analysis of the Brief ICF Core Set for Stroke

REFERENCES

• World Health Organization. WHO STEPS Stroke Manual: The WHO STEPwise Approach to Stroke Surveillance. Geneva: Author; 2006.
   Google Scholar
• Elkins JS, Johnston SC. Thirty-year for deaths from ischemic stroke in the United States. Stroke. 2003;34:2109–2112.
   PubMed Web of Science ®Google Scholar
• Stegmayr B, Asplund K. Okad iiverlevnad vid stroke men oförändrad risk att insjukna [Increased survival after stroke but unchanged risk to suffer a stroke] (in Swedish). Läkartidningen. 2003;100(44):3492–3498.
   PubMedGoogle Scholar
• Wade DT. Measurement in Neurological Rehabilitation. New York: Oxford University Press; 1992.
   Google Scholar
• World Health Organization. International Classification of Functioning, Disability and Health: ICF. Geneva: Author; 2001.
   Google Scholar
• Cieza A, Ewert T, Uestün B, Kostanjsek N, Stucki G. Development of ICF Core Sets for patients with chronic conditions. J Rehabil Med. 2004; (suppl 44):9–11.
   PubMed Web of Science ®Google Scholar
• Geyh S, Cieza A, Schouten J, et al. ICF Core Sets for stroke. I Rehabil Med. 2004;(suppl 44):135–141.
   Google Scholar
• Rentsch H, Bucher P, Nyffeler I, et al. The implementation of the International Classification of Functioning, Disability and Health (ICF) in daily practice of neurorehabilitation: an interdisciplinary project at the Kantonsspital of Lucerne, Switzerland. Disability Rehabil. 2003;25(8):411–421.
   PubMed Web of Science ®Google Scholar
• Cieza A, Hilfiker R, Boonen A., Van der Heijde D, Braun J, Stucki G. Towards an ICF-based clinical measure of functioning in people with ankylosing spondylitis: a methodological exploration. Disability Rehabil. 2009;31 (7):528–537.
   PubMed Web of Science ®Google Scholar
• Cieza A, Hilfiker R, Chatterji S, Kostanjsek N, UestEin B, Stucki G. The International Classification of Functioning, Disability, and Health could be used to measure functioning. I Clin Epidemiol. 2009;62:899–911.
   PubMed Web of Science ®Google Scholar
• World Health Organization. Stroke 1989: recommendations on stroke prevention, diagnosis, and therapy - Report of the WHO Task Force on stroke and other cerebrovascular disorders. Stroke. 1989;20:1407–1431.
   PubMed Web of Science ®Google Scholar
• Chakravarti I, Laha R, Roy J. Handbook of Methods of Applied Statistics. New York: Wiley; 1967:392–394.
   Google Scholar
• Andrich D. Application of a psychometric rating model to ordered categories, which are scored with successive integers. Appl Psychol Meas. 1978;2:581–594.
   Google Scholar
• Andrich D, de Jong JHAL, Sheridan BA. Diagnostic opportunities with the Rasch model for ordered response categories. In: Rost J, Langeheine R, eds. Applications of Latent Trait and Latent Class Models in the Social Sciences. New York: Waxmann; 1997:59–70.
   Google Scholar
• Andrich D. Conditional pairwise estimation in the Rasch model for ordered response categories using principal components. I App! Meas. 2003;4(3): 205–221.
   PubMedGoogle Scholar
• Bjorner JB, Kreiner S, Ware JE, Damsgaard MT, Bech P. Differential item functioning in the Danish translation of the SF-36. I Clin Epidemiol. 1998;11: 1189–1202.
   Google Scholar
• Andrich D. The Rasch model explained. In: Alagumalai S, Durtis DD, Hungi N, eds. Applied Rasch Measurement: A Book of Exemplars. Dordrecht, the Netherlands: Springer-Kluwer; 2005:308–328.
   Google Scholar
• Linacre JM. Optimizing rating scale category effectiveness. I App! Meas. 2002;3:85–106.
   PubMedGoogle Scholar
• Wright BD, Masters GN. Rating Scale Analysis. Chicago, IL: MESA; 1982.
   Google Scholar
• Teresi JA, Kleinman M, Ocepek-Welikson K. Modern psychometric methods for detection of differential item functioning: application to cognitive assessment measures. Stat Med. 2000;19: 1651–1683.
   PubMed Web of Science ®Google Scholar
• Lundgren-Nilsson A, Grimby G, Ring H, et al. Cross-cultural validity of functional independence measure items in stroke: a study using Rasch analysis. I Rehabil Med. 2005;37: 23–31.
   Google Scholar
• Tennant A, Pentra M, Tesio L, et al. Assessing and adjusting for cross-cultural validity of impairment and activity limitation scales through differential item functioning within the framework of the Rasch model: the PRO-ESOR project. Med Care. 2004;42(1)(suppl):137–148.
   Google Scholar
• Tennant A, Conaghan P. The Rasch measurement model in rheumatology: What is it and why use it? When should it be applied, and what should one look for in a Rasch paper? Arthritis Rheumatism. 2007;57(8):1358–1362.
   PubMed Web of Science ®Google Scholar
• Starrost K, Geyh S, Trautwein A, et al. Interrater reliability of the extended ICF Core Set for stroke applied by physical therapists. Phys Ther. 2008;88:841–851.
   PubMed Web of Science ®Google Scholar
• Okochi J, Utsunomiya S, Takahashi T. Health measurement using the ICF: test-retest reliability study of ICF codes and qualifiers in geriatric care. Health Qua! Life Outcomes. 2005;3(46).
   PubMedGoogle Scholar
• Roe C, Sveen U, Geyh S, Cieza A, Bautz-Holter E. Construct dimensionality and properties of the categories in the ICF Core Set for low back pain. I Rehabil Med. 2009;41:429–437.
   Google Scholar
• Uhlig T, Lillemo S, Moa RH, Stamm T, Cieza A, Boonen A, et al. Reliability of the ICF Core Set for rheumatoid arthritis. Ann Rheum Dis. 2007;66:1078–1084.
   PubMed Web of Science ®Google Scholar
• Kronk RA, Ogonowski JA, Rice CN, Feldman HM. Reliability in assigning ICF codes to children with special health care needs using a developmentally structured interview. Disabil Rehabil. 2005;27(17):977–983.
   PubMed Web of Science ®Google Scholar
• Ogonowski JA, Kronk RA, Rice CN, Feldman HM. Inter-rater reliability in assigning ICF codes to children with disabilities. Disabil Rehabil. 2004;26(6):353–361.
   PubMed Web of Science ®Google Scholar
• Soberg HL, Sandvik L, Ostensjo S. Reliability and applicability of the ICF in coding problems, resources and goals of persons with multiple injuries. Disabil Rehabil. 2008;30(2):98–106.
   PubMed Web of Science ®Google Scholar
• Duncan P, Goldstein L, Horner R, Landsman P, Samsa G, Matchar D. Similar motor recovery of upper and lower extremities after stroke. Stroke. 1994;25(6):1181–1188.
   PubMed Web of Science ®Google Scholar
• Jorgensen H, Nakayama H, Raaschou H., Vive-Larsen J., Stoier M, Olsen T. Outcome and time course of recovery in stroke: part II. Time course of recovery. The Copenhagen Stroke Study. Arch Phys Med Rehabil. 1995;76:406–412.
   PubMed Web of Science ®Google Scholar
• Viscogliosi C, Belleville S, Desrosiers J, Caron CD, Ska B, the BRAD Group. Participation after a stroke: changes over time as a function of cognitive deficits [published online ahead of print June 4, 2010. J Arch Gerontol Geriatr.
   Google Scholar
• Chong DK. Measurement of instrumental activities of daily living in stroke. Stroke. 1995;26(6):1119–1122.
   PubMed Web of Science ®Google Scholar
• And rich D. Rasch models for measurement. In: Sage University Paper Series on Quantitative Applications in Social Sciences, 07–068. Newbury Park, CA: Sage; 1988.
   Google Scholar
• Ewert T, Allen DD, Wilson M, UestEin B, Stucki G. Validation of the International Classification of Functioning Disability and Health framework using multidimensional item response modeling. Disabil Rehabil. 2010;32(17):1397–1405.
   PubMed Web of Science ®Google Scholar
• Geyh S, Kurt T, Brockow T, Cieza A, Ewert T, Omar Z, et al. Identifying the concepts contained in the outcome measures of clinical trials on stroke using the International Classification of Functioning, Disability and Health as a reference./ Rehabil Med. 2004;Suppl 44:56–62.
   Google Scholar
• Bilbao A, Kennedy C, Chatterji S, UestEin B, Barquero IL, Barth JT. The ICF: applications of the WHO model of functioning, disability and health to brain injury rehabilitation. Neuro Rehabilitation. 2003;18(3):239–250.
   Google Scholar
• Andrich D, Sheridan BS, Luo G. RUMM2020: Rasch Unidimensional Models for Measurement. Perth, Western Australia: RUMM Laboratory; 2002.
   Google Scholar