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      Upper Limb Outcome Measures Used in Stroke Rehabilitation Studies: A Systematic Literature Review

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          Abstract

          Background

          Establishing which upper limb outcome measures are most commonly used in stroke studies may help in improving consensus among scientists and clinicians.

          Objective

          In this study we aimed to identify the most commonly used upper limb outcome measures in intervention studies after stroke and to describe domains covered according to ICF, how measures are combined, and how their use varies geographically and over time.

          Methods

          Pubmed, CinHAL, and PeDRO databases were searched for upper limb intervention studies in stroke according to PRISMA guidelines and477 studies were included.

          Results

          In studies 48different outcome measures were found. Only 15 of these outcome measures were used in more than 5% of the studies. The Fugl-Meyer Test (FMT)was the most commonly used measure (in 36% of studies). Commonly used measures covered ICF domains of body function and activity to varying extents. Most studies (72%) combined multiple outcome measures: the FMT was often combined with the Motor Activity Log (MAL), the Wolf Motor Function Test and the Action Research Arm Test, but infrequently combined with the Motor Assessment Scale or the Nine Hole Peg Test. Key components of manual dexterity such as selective finger movements were rarely measured. Frequency of use increased over a twelve-year period for the FMT and for assessments of kinematics, whereas other measures, such as the MAL and the Jebsen Taylor Hand Test showed decreased use over time. Use varied largely between countries showing low international consensus.

          Conclusions

          The results showed a large diversity of outcome measures used across studies. However, a growing number of studies used the FMT, a neurological test with good psychometric properties. For thorough assessment the FMT needs to be combined with functional measures. These findings illustrate the need for strategies to build international consensus on appropriate outcome measures for upper limb function after stroke.

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          Most cited references36

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          ICF linking rules: an update based on lessons learned.

          Outcome research seeks to understand the end results of health services. Researchers use a wide variety of outcome measures including technical, clinical and patient-oriented measures. The International Classification of Functioning, Disability and Health (ICF) as a common reference framework for functioning may contribute to improved outcome research. The objective of this paper is to provide an updated version of the linking rules published in 2002 and illustrate how these rules are applied to link technical and clinical measures, health-status measures and interventions to the ICF. Three specific linking rules have been established to link health-status measures to the ICF and one specific linking rule has been created to link technical and clinical measures and interventions. A total of 8 linking rules have been established for use with all different outcome measures and with interventions. The newly updated linking rules will allow researchers systematically to link and compare meaningful concepts contained in them. This should prove extremely useful in selecting the most appropriate outcome measures among a number of candidate measures for the applied interventions. Further possible applications are the operationalization of concrete ICF categories using specific measures or the creation of ICF category-based item bankings.
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            A performance test for assessment of upper limb function in physical rehabilitation treatment and research.

            R C Lyle (1981)
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              Reliability of the Fugl-Meyer assessment of sensorimotor recovery following cerebrovascular accident.

              This study establishes intratester reliability for all components of physical performance and intertester reliability for the total scores of upper and lower extremity motor performance in a cumulative numerical scoring system devised by Fugl-Meyer et al. Intertester reliability was found to be high for the total scores of upper and lower extremity motor performance. All intratester and intertester reliability coefficients were high and statistically significant. Establishing the reliability of the Fugl-Meyer method of assessing recovery of function following cerebrovascular accident has increased the usefulness of this method for clinical assessment and as a tool for the comparative analysis of the effectiveness of various therapeutic interventions.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                6 May 2016
                2016
                : 11
                : 5
                : e0154792
                Affiliations
                [1 ]Service de Médecine Physique et de Réadaptation, Université Paris Descartes, Hôpital Sainte-Anne, Paris, France
                [2 ]FR3636 CNRS, Université Paris Descartes, Sorbonne Paris Cité, Paris, France
                [3 ]Unité James Parkinson, service de Neurologie, Fondation OPH Rothschild, Paris, France
                [4 ]Centre de Psychiatrie et Neurosciences, Inserm U894, Paris, France
                [5 ]Université Paris Diderot, Sorbonne Paris Cité, Paris, France
                University of Ottawa, CANADA
                Author notes

                Competing Interests: PGL owns shares in Aggero MedTech AB, a company commercializing a measurement instrument for spasticity. MAM and PGL have patented a method for measurement of manual dexterity (EP2659835A1). This does not alter the authors’ adherence to PLOS ONE policies on sharing data and materials.

                Conceived and designed the experiments: LS MT MAM JPB JCB PGL. Performed the experiments: LS MT JPB PGL. Analyzed the data: MT MAM JPB JCB PGL. Wrote the paper: LS PGL.

                Article
                PONE-D-15-54915
                10.1371/journal.pone.0154792
                4859525
                27152853
                cfd89b3e-3bfc-4674-afca-1493c50f5b82
                © 2016 Santisteban et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 18 December 2015
                : 19 April 2016
                Page count
                Figures: 6, Tables: 1, Pages: 16
                Funding
                These authors have no support or funding to report.
                Categories
                Research Article
                Biology and Life Sciences
                Anatomy
                Musculoskeletal System
                Limbs (Anatomy)
                Arms
                Hands
                Medicine and Health Sciences
                Anatomy
                Musculoskeletal System
                Limbs (Anatomy)
                Arms
                Hands
                Medicine and Health Sciences
                Neurology
                Cerebrovascular Diseases
                Stroke
                Medicine and Health Sciences
                Vascular Medicine
                Stroke
                Biology and Life Sciences
                Anatomy
                Musculoskeletal System
                Medicine and Health Sciences
                Anatomy
                Musculoskeletal System
                Biology and Life Sciences
                Anatomy
                Musculoskeletal System
                Limbs (Anatomy)
                Arms
                Medicine and Health Sciences
                Anatomy
                Musculoskeletal System
                Limbs (Anatomy)
                Arms
                Physical Sciences
                Physics
                Classical Mechanics
                Kinematics
                Research and Analysis Methods
                Database and Informatics Methods
                Database Searching
                Biology and Life Sciences
                Psychology
                Psychometrics
                Social Sciences
                Psychology
                Psychometrics
                Biology and Life Sciences
                Anatomy
                Musculoskeletal System
                Limbs (Anatomy)
                Medicine and Health Sciences
                Anatomy
                Musculoskeletal System
                Limbs (Anatomy)
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

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                Uncategorized

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