Affiliations: [a] Department of Occupational Therapy, Graduate Institute of Behavioral Sciences, Chang Gung University, Taoyuan, Taiwan | [b] School of Occupational Therapy, College of Medicine, National Taiwan University, Taipei, Taiwan | [c] Division of Occupational Therapy, Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Taipei, Taiwan | [d] Department of Occupational Therapy, College of Health and Human Services, California State University, Dominguez Hills, Carson, CA, USA
Correspondence:
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Corresponding author: Ching-yi Wu, ScD, Department of Occupational Therapy, Graduate Institute of Behavioral Sciences, Chang Gung University, 259 Wen-hwa 1st Road, Kwei-shan, Tao-yuan, Taiwan. Tel.: +886 3 2118800, ext. 5761; E-mail: cywu@mail.cgu.edu.tw
Abstract: Objective:This investigation examined the demographic characteristics along with 3 measures of motor function in determining outcomes in activities of daily living (ADL) after distributed constraint-induced therapy (dCIT). Methods:The study recruited 69 stroke patients who received 3 weeks of dCIT for 2 hours daily, 5 days a week. The self-reported outcome measures for daily function were the Motor Activity Log (MAL) including the amount of use (AOU) and quality of movement (QOM), Nottingham Extended Activities of Daily Living Questionnaire (NEADL), and the Stroke Impact Scale (SIS). Age, sex, onset, side of stroke, Fugl-Meyer assessment (FMA), Wolf Motor Function Test (WMFT), and Action Research Arm Test (ARAT) were the potential predictors. Results:The ARAT grasp-grip-pinch score was the most dominant predictor for MAL-AOU and NEADL (P < 0.05), and the ARAT total score for the subscore of the ADL/instrumental ADL section of the SIS (P < 0.05). The FMA wrist-hand score was a significant predictor for MAL-QOM (P < 0.05). Age was the only demographic factor that significantly predicted NEADL performance (P < 0.05). Conclusion:Among the 3 commonly used measures of motor function after stroke, ARAT was the strongest determinant in predicting MAL-AOU, MAL-QOM, and SIS-ADL/instrumental ADL after dCIT.
Keywords: Predictors, stroke, rehabilitation, activities of daily living, patient-reported outcomes
