Rasch-based scoring offered more precision in differentiating patient groups in measuring upper limb function

Journal of Clinical Epidemiology

Volumn 66, Issue 6, 2013, Pages 681-687

  Khan, Asaduzzaman ^a   Chien, Chi Wen ^a   Brauer, Sandra G ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Item response theory; Patients with stroke; Rasch analysis; Relative precision; Summative scoring; UL MAS

Indexed keywords

ACCURACY; ADULT; AGED; ARM MOVEMENT; ARTICLE; CEREBROVASCULAR ACCIDENT; CLINICAL TRIAL; COHORT ANALYSIS; COMPARATIVE STUDY; DISCRIMINANT ANALYSIS; FEMALE; HOSPITAL ADMISSION; HOSPITAL DISCHARGE; HUMAN; MAJOR CLINICAL STUDY; MALE; MEASUREMENT; NAMED INVENTORIES, QUESTIONNAIRES AND RATING SCALES; PATIENT ASSESSMENT; PHYSIOTHERAPY; PRIORITY JOURNAL; RASCH ANALYSIS; RELATIVE PRECISION INDEX; UPPER LIMB SUBSCALE OF THE MOTOR ASSESSMENT SCALE;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; COHORT STUDIES; FEMALE; HUMANS; MALE; MIDDLE AGED; MODELS, STATISTICAL; OUTCOME ASSESSMENT (HEALTH CARE); PATIENT ADMISSION; PATIENT DISCHARGE; PSYCHOMETRICS; STROKE; UPPER EXTREMITY; YOUNG ADULT;

EID: 84876920584     PISSN: 08954356     EISSN: 18785921     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2012.12.014     Document Type: Article

References (36)

1. K. Kong, K. Chua, and J. Lee Recovery of upper limb dexterity in patients more than 1 year after stroke: frequency, clinical correlates and predictors NeuroRehabilitation 28 2011 105 111
2. J. Harper, R. Cox, and R. Sainsbury A randomised controlled trial of strapping to prevent post stroke shoulder pain Clin Rehabil 14 2000 370 380
3. J. Hobart Measuring disease impact in disabling neurological conditions: are patients' perspectives and scientific rigor compatible? Curr Opin Neurol 15 2002 721 724
4. R. Fitzpatrick, J. Norquist, C. Jenkinson, B. Reeves, R. Morris, and D. Murray A comparison of Rasch with Likert scoring to discriminate between patients' evaluations of total hip replacement surgery Qual Life Res 13 2004 331 338
5. D. Streiner, and G. Norman Health measurement scales: a practical guide to their development and use 1st ed. 2008 Oxford University Press New York
6. L. Tesio Measuring behaviours and perceptions: Rasch analysis as a tool for rehabilitation research J Rehabil Med 35 2003 105 115
7. B. Wright, and N. Masters Rating scale analysis 1st ed. 1982 MESA Press Chicago, IL
8. S. Embretson, and S. Reise Item response theory for psychologists 1st ed. 2000 Lawrence Erlbaum New Jersey
9. P. Martinez-Martin Composite rating scales J Neurol Sci 289 2010 7 11
10. R. Hays, L. Morales, and S. Reise Item response theory and health outcomes measurement in the 21'st century Med Care 38 2000 S28 S42
11. P. Lyrén, and I. Atroshi Using item response theory improved responsiveness of patient-reported outcomes measures in carpal tunnel syndrome J Clin Epidemiol 65 2012 325 334
12. T. Xu, and C.A. Stone Using IRT trait estimates versus summated scores in predicting outcomes Educ Psychol Meas 72 2012 453 468
13. S. Brauer, P. Bew, S. Kuys, M. Lynch, and G. Morrison Prediction of discharge destination after stroke using the motor assessment scale on admission: a prospective, multisite study Arch Phys Med Rehabil 89 2008 1061 1065
14. I. Hsueh, and C. Hsieh Responsiveness of two upper extremity function instruments for stroke inpatients receiving rehabilitation Clin Rehabil 16 2002 617 624
15. G. Nakipoglu, M. Dogan-Aslan, and N. Ozgirgin Evaluation of upper extremity rehabilitation in hemiplegic patients with and without complex regional pain syndrome type I Int J Rehabil Res 31 2008 105 109
16. N. Lannin Reliability, validity and factor structure of the upper limb subscale of the Motor Assessment Scale (UL-MAS) in adults following stroke Disabil Rehabil 26 2004 109 115
17. K. Miller, A. Slade, J. Pallant, and M. Galea Evaluation of the psychometric properties of the upper limb subscales of the Motor Assessment Scale using a Rasch analysis model J Rehabil Med 42 2010 315 322
18. B. Williams, M. Galea, and A. Winter What is the functional outcome for the upper limb after stroke? Aust J Physiother 47 2001 19 27
19. C. McHorney, S. Haley, and J.J. Ware Evaluation of the MOS SF-36 Physical Functioning Scale (PF-10): II. Comparison of relative precision using Likert and Rasch scoring methods J Clin Epidemiol 50 1997 451 461
20. A. Raczek, J. Ware, J. Bjorner, B. Gandek, S. Haley, and N. Aaronson Comparison of Rasch and summated rating scales constructed from SF-36 physical functioning items in seven countries: results from the IQOLA Project J Clin Epidemiol 51 1998 1203 1214
21. J. Carr, R. Shepherd, L. Nordholm, and D. Lynne Investigation of a new motor assessment scale for stroke patients Phys Ther 65 1985 175 180
22. J. Linacre A user's guide to winsteps: Rasch-model computer program 2008 MESA Press Chicago, IL
23. T. Bond, and C. Fox Applying the Rasch model: fundamental measurement in the human sciences 2007 Lawrence Erlbaum Assoc Mahwah, NJ
24. B. Wright, and J. Linacre Reasonable mean-square fit values Rasch Meas Trans 8 1998 370
25. R. Fitzpatrick, J. Norquist, J. Dawson, and C. Jenkinson Rasch scoring of outcomes of total hip replacement J Clin Epidemiol 56 2003 68 74
26. J. Norquist, R. Fitzpatrick, J. Dawson, and C. Jenkinson Comparing alternative Rasch-based methods vs raw scores in measuring change in health Med Care 42 2004 I25 I36
27. B. Efron, and R. Tibshirani Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy Stat Sci 1 1986 54 77
28. StataCorp Stata Statistical Software: Release 11 2009 StataCorp LP College Station, TX
29. J. Wright, and A. Feinstein A comparative contrast of clinimetric and psychometric methods for constructing indexes and rating scales J Clin Epidemiol 45 1992 1201 1218
30. W. Fisher Measurement-related problems in functional assessment Am J Occup Ther 47 1993 331 338
31. D. Cella, and C. Chang A discussion of item response theory and its applications in health status assessment Med Care 97 2000 II66 II72
32. R. Fortinsky, R. Garcia, T. Sheehan, E. Madigan, and S. Tullai-McGuinness Measuring disability in Medicare home care patients: application of Rasch modeling to the outcome and assessment information set Med Care 41 2003 601 615
33. R. Barker, S. Brauer, and R. Carson Training of reaching in stroke survivors with severe and chronic upper limb paresis using a novel nonrobotic device: a randomized clinical trial Stroke 39 2008 1800 1807
34. R.N. Barker, S.G. Brauer, B.K. Barry, T.J. Gill, and R.G. Carson Training-induced modifications of corticospinal reactivity in severely affected stroke survivors Exp Brain Res 221 2012 211 221
35. J. Carifio, and R.J. Perla Ten common misunderstandings, misconceptions, persistent myths and urban legends about Likert scales and Likert response formats and their antidotes J Biosoc Sc 3 2007 106 116
36. J. Sabari, A. Lim, C. Velozo, L. Lehman, O. Kieran, and J. Lai Assessing arm and hand function after stroke: a validity test of the hierarchical scoring system used in the motor assessment scale for stroke Arch Phys Med Rehabil 86 2005 1609 1615