Psychometric properties of Upper-body Dressing Scale in people with stroke
DOI:
https://doi.org/10.2340/jrm.v55.5766Abstract
Objectives: To investigate the psychometric properties of the Upper-Body Dressing Scale (UBDS), a tool for evaluating upper-body dressing performance in stroke patients.
Design: Cross-sectional study.
Subjects: Seventy-six chronic stroke patients and 49 healthy older adults.
Methods: UBDS, Fugl-Meyer Assessment (FMA), Wolf Motor Function Test (WMFT), Berg Balance Scale (BBS), Timed Up-and-Go Test (TUGT), Limit of Stability (LOS) test, Motor Activity Log (MAL-30), Arm Activity Measure (AAM), 12-item Short Form Health Survey, and Community Integration Measure – Cantonese version were assessed
Results: UBDS time and UBDS score demonstrated good to excellent inter-rater and test-retest reliabilities for chronic stroke patients (intraclass correlation coefficient 0.759–1.000). UBDS time correlated significantly with FMA Upper and Lower Extremity, WMFT, and BBS scores, TUGT time, LOS Movement Velocity (affected side), LOS Maximal Excursion (composite), MAL-30 Amount of Use and Quality of Movement (affected side), and AAM (section B) scores (r = –0.61 to 0.63). The minimal detectable changes in UBDS time and UBDS score were 28.67 s and 0, respectively. The cut-off UBDS time and UBDS score were 37.67 s and 7.50, respectively.
Conclusion: UBDS time is a reliable, sensitive, and specific measurement for assessing upper-body dressing performance in chronic stroke patients.
LAY ABSTRACT
The skill of upper body dressing is an important component of activities of daily living in people with stroke. However, there are many limitations in current outcome measures to assess upper-body dressing performance. The Upper-Body Dressing Scale was developed to evaluate upper-body dressing performance. The objectives of this study were to investigate the inter-rater, test–retest reliabilities, and minimal detectable changes (MDCs) of Upper-Body Dressing Scale time and Upper-Body Dressing Scale score for chronic stroke patients, the correlations of Upper-Body Dressing Scale time and Upper-Body Dressing Scale score with stroke-specific outcome measures, and the cut-off Upper-Body Dressing Scale time and Upper-Body Dressing Scale score for distinguishing upper-body dressing performance of stroke survivors from that of healthy older adults. The Upper-Body Dressing Scale time and Upper-Body Dressing Scale score demonstrated good to excellent inter-rater and test–retest reliabilities for chronic stroke patients. Upper-Body Dressing Scale time correlated significantly with stroke-specific outcome measures. Thus, Upper-Body Dressing Scale time is a reliable, sensitive, and specific measurement for assessing upper-body dressing performance in chronic stroke patients.
Downloads
References
Mulley G. Practical management of stroke. Kent: Croom Helm; 1984.
Walker C, Walker M. Dressing ability after stroke: a review of the literature. Br J Occupat Ther 2001; 64: 449-454.
https://doi.org/10.1177/030802260106400906 DOI: https://doi.org/10.1177/030802260106400906
Walker M, Drummond A, Lincoln N. Evaluation of dressing practice for stroke patients after discharge from hospital: a crossover design study. Clin Rehabil 1996; 10: 23-31.
https://doi.org/10.1177/026921559601000105 DOI: https://doi.org/10.1177/026921559601000105
Van der Putten J, Hobart J, Freeman J, Thompson A. Measuring change in disability after inpatient rehabilitation: comparison of the responsiveness of the Barthel index and the Functional Independence Measure. J Neurol Neurosurg Psychiatry 1999; 66: 480-484.
https://doi.org/10.1136/jnnp.66.4.480 DOI: https://doi.org/10.1136/jnnp.66.4.480
Hammer AM, Lindmark B. Responsiveness and validity of the Motor Activity Log in patients during the subacute phase after stroke. Disabil Rehabil 2010; 32: 1184-1193.
https://doi.org/10.3109/09638280903437253 DOI: https://doi.org/10.3109/09638280903437253
Walker M, Lincoln N. Factors influencing dressing performance after stroke. J Neurol Neurosurg Psychiatry 1991; 54: 699-701.
https://doi.org/10.1136/jnnp.54.8.699 DOI: https://doi.org/10.1136/jnnp.54.8.699
Endo A, Suzuki M, Akagi A, Chiba N, Ishizaka I, Matsunaga A, et al. Reliability and validity of the upper-body dressing scale in japanese patients with vascular dementia with hemiparesis. Occup Ther Int 2015; 22: 10-18.
https://doi.org/10.1002/oti.1378 DOI: https://doi.org/10.1002/oti.1378
Suzuki M, Yamada S, Omori M, Hatakeyama M, Sugimura Y, Matsushita K, et al. Development of the upper-body dressing scale for a buttoned shirt: a preliminary correlational study. Am J Phys Med Rehabil 2008; 87: 740-749.
https://doi.org/10.1097/PHM.0b013e31818378b0 DOI: https://doi.org/10.1097/PHM.0b013e31818378b0
Alberto P, Troutman AC. Applied behavior analysis for teachers. Upper Saddle River, NJ: Pearson; 2013.
Kang H. Sample size determination and power analysis using the G* Power software. J Educ Eval Health Prof 2021; 18:17.
https://doi.org/10.3352/jeehp.2021.18.17 DOI: https://doi.org/10.3352/jeehp.2021.18.17
Lam SC, Wong Yy, Woo J. Reliability and validity of the abbreviated mental test (Hong Kong version) in residential care homes. J Am Geriatr Soc 2010; 58: 2255-2257.
https://doi.org/10.1111/j.1532-5415.2010.03129.x DOI: https://doi.org/10.1111/j.1532-5415.2010.03129.x
Kim H, Her J, Ko J, Park D-s, Woo J-H, You Y, et al. Reliability, concurrent validity, and responsiveness of the Fugl-Meyer Assessment (FMA) for hemiplegic patients. J Phys Ther Sci 2012; 24: 893-899.
https://doi.org/10.1589/jpts.24.893 DOI: https://doi.org/10.1589/jpts.24.893
Morris DM, Uswatte G, Crago JE, Cook III EW, Taub E. The reliability of the wolf motor function test for assessing upper extremity function after stroke. Arch Phys Med Rehabil 2001; 82: 750-755.
https://doi.org/10.1053/apmr.2001.23183 DOI: https://doi.org/10.1053/apmr.2001.23183
Berg K, Wood-Dauphinee S, Williams J. The Balance Scale: reliability assessment with elderly residents and patients with an acute stroke. Scand J Rehabil Med 1995; 27: 27-36.
Ng SS, Hui-Chan CW. The Timed Up & Go test: its reliability and association with lower-limb impairments and locomotor capacities in people with chronic stroke. Arch Phys Med Rehabil 2005; 86: 1641-1647.
https://doi.org/10.1016/j.apmr.2005.01.011 DOI: https://doi.org/10.1016/j.apmr.2005.01.011
Faria CD, Teixeira-Salmela LF, Neto MG, Rodrigues-de-Paula F. Performance-based tests in subjects with stroke: outcome scores, reliability and measurement errors. Clin Rehabil 2012; 26: 460-469.
https://doi.org/10.1177/0269215511423849 DOI: https://doi.org/10.1177/0269215511423849
Liston RA, Brouwer BJ. Reliability and validity of measures obtained from stroke patients using the Balance Master. Arch Phys Med Rehabil 1996; 77: 425-430.
https://doi.org/10.1016/S0003-9993(96)90028-3 DOI: https://doi.org/10.1016/S0003-9993(96)90028-3
Geldhof E, Cardon G, De Bourdeaudhuij I, Danneels L, Coorevits P, Vanderstraeten G, et al. Static and dynamic standing balance: test-retest reliability and reference values in 9 to 10 year old children. Eur J Pediatr 2006; 165: 779-786.
https://doi.org/10.1007/s00431-006-0173-5 DOI: https://doi.org/10.1007/s00431-006-0173-5
Pereira ND, Ovando AC, Michaelsen SM, Anjos SMd, Lima RCM, Nascimento LR, et al. Motor Activity Log-Brazil: reliability and relationships with motor impairments in individuals with chronic stroke. Arq Neuropsiquiatr 2012; 70: 196-201.
https://doi.org/10.1590/S0004-282X2012000300008 DOI: https://doi.org/10.1590/S0004-282X2012000300008
Ashford S, Turner-Stokes L, Siegert R, Slade M. Initial psychometric evaluation of the Arm Activity Measure (ArmA): a measure of activity in the hemiparetic arm. Clin Rehabil 2013; 27: 728-740.
https://doi.org/10.1177/0269215512474942 DOI: https://doi.org/10.1177/0269215512474942
Kosinski M, Keller S. SF-12: How to score the SF-12 physical and mental health summary scales. Boston, MA: The Health Institute, New England Medical Center; 1995.
Bohannon RW, Maljanian R, Lee N, Ahlquist M. Measurement properties of the short form (SF)-12 applied to patients with stroke. Int J Rehabil Res 2004; 27: 151-154.
https://doi.org/10.1097/01.mrr.0000127349.25287.de DOI: https://doi.org/10.1097/01.mrr.0000127349.25287.de
Liu T-W, Ng SS, Ng GY. Translation and initial validation of the Chinese (Cantonese) version of community integration measure for use in patients with chronic stroke. Biomed Res Int 2014; 2014: 623836.
https://doi.org/10.1155/2014/623836 DOI: https://doi.org/10.1155/2014/623836
Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med 2016; 15: 155-163.
https://doi.org/10.1016/j.jcm.2016.02.012 DOI: https://doi.org/10.1016/j.jcm.2016.02.012
Portney LG. Foundations of clinical research: applications to evidence-based practice: FA Davis; 2020.
Armstrong RA. When to use the Bonferroni correction. Ophthalmic Physiol Opt 2014; 34: 502-508.
https://doi.org/10.1111/opo.12131 DOI: https://doi.org/10.1111/opo.12131
Kumar R, Indrayan A. Receiver operating characteristic (ROC) curve for medical researchers. Indian Pediatr 2011; 48: 277-287.
https://doi.org/10.1007/s13312-011-0055-4 DOI: https://doi.org/10.1007/s13312-011-0055-4
Suzuki M, Omori M, Hatakeyama M, Yamada S, Matsushita K, Iijima S. Predicting recovery of upper-body dressing ability after stroke. Arch Phys Med Rehabil 2006; 87: 1496-1502.
https://doi.org/10.1016/j.apmr.2006.07.267 DOI: https://doi.org/10.1016/j.apmr.2006.07.267
Raghavan P. Upper limb motor impairment after stroke. Phys Med Rehabil Clin 2015; 26: 599-610.
https://doi.org/10.1016/j.pmr.2015.06.008 DOI: https://doi.org/10.1016/j.pmr.2015.06.008
Sommerfeld DK, Gripenstedt U, Welmer A-K. Spasticity after stroke: an overview of prevalence, test instruments, and treatments. Am J Phys Med Rehabil 2012; 91: 814-820.
https://doi.org/10.1097/PHM.0b013e31825f13a3 DOI: https://doi.org/10.1097/PHM.0b013e31825f13a3
Shiau M-Y, Yu L, Yuan H-S, Lin J-H, Liu C-K. Functional performance of Alzheimer's disease and vascular dementia in southern Taiwan. Kaohsiung J Med Sci 2006; 22: 437-446.
https://doi.org/10.1016/S1607-551X(09)70335-3 DOI: https://doi.org/10.1016/S1607-551X(09)70335-3
Miyamoto S, Kondo T, Suzukamo Y, Michimata A, Izumi S-I. Reliability and validity of the Manual Function Test in patients with stroke. Am J Phys Med Rehabil 2009; 88: 247-255.
https://doi.org/10.1097/PHM.0b013e3181951133 DOI: https://doi.org/10.1097/PHM.0b013e3181951133
Fujita T, Sato A, Yamamoto Y, Yamane K, Otsuki K, Tsuchiya K, et al. Relationship between dressing and motor function in stroke patients: a study with partial correlation analysis. J Phys Ther Sci 2015; 27: 3771-3774.
https://doi.org/10.1589/jpts.27.3771 DOI: https://doi.org/10.1589/jpts.27.3771
Fujita T, Sato A, Yamamoto Y, Otsuki K, Tsuchiya K, Tozato F. Motor function cutoff values for independent dressing in stroke patients. Am J Occup Ther 2016; 70: 7003290010p1-p7.
https://doi.org/10.5014/ajot.2016.018945 DOI: https://doi.org/10.5014/ajot.2016.018945
Silverio VS, Porras VA, Costa IR. Dynamic balance performance in relation to the dependence in activities of daily living: a cross-sectional study in stroke patients. Age 2020; 29: 46.8.
De Wit L, Putman K, Devos H, Brinkmann N, Dejaeger E, De Weerdt W, et al. Long-term prediction of functional outcome after stroke using single items of the Barthel Index at discharge from rehabilitation centre. Diasbil Rehabil 2014; 36: 353-358.
https://doi.org/10.3109/09638288.2013.793411 DOI: https://doi.org/10.3109/09638288.2013.793411
Stewart JC, Cramer SC. Patient-reported measures provide unique insights into motor function after stroke. Stroke 2013; 44: 1111-1116.
https://doi.org/10.1161/STROKEAHA.111.674671 DOI: https://doi.org/10.1161/STROKEAHA.111.674671
Chen P, Lai CK, Chung RC, Ng SS. The Jacket Test for assessing people with chronic stroke. Disabil Rehabil 2017; 39: 2577-2583.
https://doi.org/10.1080/09638288.2016.1236413 DOI: https://doi.org/10.1080/09638288.2016.1236413
Hughes MW, Schuster JW, Michael Nelson C. The acquisition of independent dressing skills by students with multiple disabilities. J Dev Phys Disabil 1993; 5: 233-252.
https://doi.org/10.1007/BF01047066 DOI: https://doi.org/10.1007/BF01047066
Published
How to Cite
License
Copyright (c) 2023 Shamay S. M. Ng, Peiming Chen, Him-Shun Chang, Wing-Kiu Chun, Tsz-Ho Kong, Yunon Lam, Wing-Yan Lau, Tai-Wa Liu, Lily Y. W. Ho, Cynthia Y. Y. Lai, Mimi M. Y. Tse
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
All digitalized JRM contents is available freely online. The Foundation for Rehabilitation Medicine owns the copyright for all material published until volume 40 (2008), as from volume 41 (2009) authors retain copyright to their work and as from volume 49 (2017) the journal has been published Open Access, under CC-BY-NC licences (unless otherwise specified). The CC-BY-NC licenses allow third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material for non-commercial purposes, provided proper attribution to the original work.
From 2024, articles are published under the CC-BY licence. This license permits sharing, adapting, and using the material for any purpose, including commercial use, with the condition of providing full attribution to the original publication.
