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Original article| Volume 95, ISSUE 2, P316-321, February 2014

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Predicting Clinically Significant Changes in Motor and Functional Outcomes After Robot-Assisted Stroke Rehabilitation

  • Yu-wei Hsieh
    Affiliations
    Department of Occupational Therapy and Graduate Institute of Behavioral Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan

    Taiwan Healthy Ageing Research Center, Chang Gung University, Taoyuan, Taiwan
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  • Keh-chung Lin
    Affiliations
    School of Occupational Therapy, College of Medicine, National Taiwan University, Taipei, Taiwan

    Division of Occupational Therapy, Department of Physical Medicine and Rehabilitation, National Taiwan University Hospital, Taipei, Taiwan
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  • Ching-yi Wu
    Correspondence
    Corresponding author Ching-yi Wu, ScD, OTR, Department of Occupational Therapy and Graduate Institute of Behavioral Sciences, College of Medicine, Chang Gung University, 259 Wen-hwa 1st Rd, Taoyuan, Taiwan.
    Affiliations
    Department of Occupational Therapy and Graduate Institute of Behavioral Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan

    Taiwan Healthy Ageing Research Center, Chang Gung University, Taoyuan, Taiwan
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  • Hen-yu Lien
    Affiliations
    Department of Physical Therapy and Graduate Institute of Rehabilitation Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan
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  • Jean-lon Chen
    Affiliations
    Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital and College of Medicine, Chang Gung University, Taoyuan, Taiwan
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  • Chih-chi Chen
    Affiliations
    Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital and College of Medicine, Chang Gung University, Taoyuan, Taiwan
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  • Wei-han Chang
    Affiliations
    Department of Physical Medicine and Rehabilitation, Chang Gung Memorial Hospital at Taipei, Taipei, Taiwan
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Published:October 09, 2013DOI:https://doi.org/10.1016/j.apmr.2013.09.018

      Abstract

      Objective

      To investigate the predictors of minimal clinically important changes on outcome measures after robot-assisted therapy (RT).

      Design

      Observational cohort study.

      Setting

      Outpatient rehabilitation clinics.

      Participants

      A cohort of outpatients with stroke (N=55).

      Interventions

      Patients with stroke received RT for 90 to 105min/d, 5d/wk, for 4 weeks.

      Main Outcome Measures

      Outcome measures, including the Fugl-Meyer Assessment (FMA) and Motor Activity Log (MAL), were measured before and after the intervention. Potential predictors include age, sex, side of lesion, time since stroke onset, finger extension, Box and Block Test (BBT) score, and FMA distal score.

      Results

      Statistical analysis showed that the BBT score (odds ratio[OR]=1.06; P=.04) was a significant predictor of clinically important changes in the FMA. Being a woman (OR=3.9; P=.05) and BBT score (OR=1.07; P=.02) were the 2 significant predictors of clinically significant changes in the MAL amount of use subscale. The BBT score was the significant predictor of an increased probability of achieving clinically important changes in the MAL quality of movement subscale (OR=1.07; P=.02). The R2 values for the 3 logistic regression models were low (.114−.272).

      Conclusions

      The results revealed that patients with stroke who had greater manual dexterity measured by the BBT appear to have a higher probability of achieving clinically significant motor and functional outcomes after RT. Further studies are needed to evaluate other potential predictors to improve the models and validate the findings.

      Keywords

      List of abbreviations:

      AOU (amount of use), BBT (Box and Block Test), FMA (Fugl-Meyer Assessment), MAL (Motor Activity Log), QOM (quality of movement), RT (robot-assisted therapy), VIF (variance inflation factor)
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