Upper Limb Outcome Measures Used in Stroke Rehabilitation Studies: A Systematic Literature Review
Establishing which upper limb outcome measures are most commonly used in stroke studies may help in improving consensus among scientists and clinicians. In this study we aimed to identify the most commonly used upper limb outcome measures in intervention studies after stroke and to describe domains...
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Published in | PloS one Vol. 11; no. 5; p. e0154792 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Public Library of Science
06.05.2016
Public Library of Science (PLoS) |
Subjects | |
Online Access | Get full text |
ISSN | 1932-6203 1932-6203 |
DOI | 10.1371/journal.pone.0154792 |
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Abstract | Establishing which upper limb outcome measures are most commonly used in stroke studies may help in improving consensus among scientists and clinicians.
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.
Pubmed, CinHAL, and PeDRO databases were searched for upper limb intervention studies in stroke according to PRISMA guidelines and477 studies were included.
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.
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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AbstractList | Establishing which upper limb outcome measures are most commonly used in stroke studies may help in improving consensus among scientists and clinicians.
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.
Pubmed, CinHAL, and PeDRO databases were searched for upper limb intervention studies in stroke according to PRISMA guidelines and477 studies were included.
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.
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. 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. BackgroundEstablishing which upper limb outcome measures are most commonly used in stroke studies may help in improving consensus among scientists and clinicians.ObjectiveIn 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.MethodsPubmed, CinHAL, and PeDRO databases were searched for upper limb intervention studies in stroke according to PRISMA guidelines and477 studies were included.ResultsIn 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.ConclusionsThe 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. 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. Establishing which upper limb outcome measures are most commonly used in stroke studies may help in improving consensus among scientists and clinicians. 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. Pubmed, CinHAL, and PeDRO databases were searched for upper limb intervention studies in stroke according to PRISMA guidelines and477 studies were included. 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. 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. Establishing which upper limb outcome measures are most commonly used in stroke studies may help in improving consensus among scientists and clinicians.BACKGROUNDEstablishing which upper limb outcome measures are most commonly used in stroke studies may help in improving consensus among scientists and clinicians.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.OBJECTIVEIn 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.Pubmed, CinHAL, and PeDRO databases were searched for upper limb intervention studies in stroke according to PRISMA guidelines and477 studies were included.METHODSPubmed, CinHAL, and PeDRO databases were searched for upper limb intervention studies in stroke according to PRISMA guidelines and477 studies were included.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.RESULTSIn 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.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.CONCLUSIONSThe 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. |
Audience | Academic |
Author | Maier, Marc A. Baron, Jean-Claude Bleton, Jean-Pierre Térémetz, Maxime Santisteban, Leire Lindberg, Påvel G. |
AuthorAffiliation | 1 Service de Médecine Physique et de Réadaptation, Université Paris Descartes, Hôpital Sainte-Anne, Paris, France 5 Université Paris Diderot, Sorbonne Paris Cité, Paris, France 4 Centre de Psychiatrie et Neurosciences, Inserm U894, Paris, France 2 FR3636 CNRS, Université Paris Descartes, Sorbonne Paris Cité, Paris, France University of Ottawa, CANADA 3 Unité James Parkinson, service de Neurologie, Fondation OPH Rothschild, Paris, France |
AuthorAffiliation_xml | – name: 5 Université Paris Diderot, Sorbonne Paris Cité, Paris, France – name: University of Ottawa, CANADA – name: 1 Service de Médecine Physique et de Réadaptation, Université Paris Descartes, Hôpital Sainte-Anne, Paris, France – name: 3 Unité James Parkinson, service de Neurologie, Fondation OPH Rothschild, Paris, France – name: 4 Centre de Psychiatrie et Neurosciences, Inserm U894, Paris, France – name: 2 FR3636 CNRS, Université Paris Descartes, Sorbonne Paris Cité, Paris, France |
Author_xml | – sequence: 1 givenname: Leire surname: Santisteban fullname: Santisteban, Leire – sequence: 2 givenname: Maxime surname: Térémetz fullname: Térémetz, Maxime – sequence: 3 givenname: Jean-Pierre surname: Bleton fullname: Bleton, Jean-Pierre – sequence: 4 givenname: Jean-Claude surname: Baron fullname: Baron, Jean-Claude – sequence: 5 givenname: Marc A. surname: Maier fullname: Maier, Marc A. – sequence: 6 givenname: Påvel G. surname: Lindberg fullname: Lindberg, Påvel G. |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27152853$$D View this record in MEDLINE/PubMed http://kipublications.ki.se/Default.aspx?queryparsed=id:133546564$$DView record from Swedish Publication Index |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 content type line 14 ObjectType-Literature Review-2 ObjectType-Feature-3 ObjectType-Feature-2 ObjectType-Review-3 content type line 23 ObjectType-Undefined-4 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. 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. |
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Snippet | Establishing which upper limb outcome measures are most commonly used in stroke studies may help in improving consensus among scientists and clinicians.
In... Background Establishing which upper limb outcome measures are most commonly used in stroke studies may help in improving consensus among scientists and... Establishing which upper limb outcome measures are most commonly used in stroke studies may help in improving consensus among scientists and clinicians. In... Establishing which upper limb outcome measures are most commonly used in stroke studies may help in improving consensus among scientists and... BackgroundEstablishing which upper limb outcome measures are most commonly used in stroke studies may help in improving consensus among scientists and... Background Establishing which upper limb outcome measures are most commonly used in stroke studies may help in improving consensus among scientists and... |
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SubjectTerms | Arm Arm - physiopathology Biology and Life Sciences Botulinum toxin Care and treatment Clinical medicine Health aspects Humans Intervention Kinematics Literature reviews Manual dexterity Medicine and Health Sciences Motor activity Neurosciences Patient outcomes Patients Physical Sciences Quantitative psychology Rehabilitation Research and Analysis Methods Social Sciences Stroke Stroke Rehabilitation Studies Systematic review Transcranial magnetic stimulation |
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Title | Upper Limb Outcome Measures Used in Stroke Rehabilitation Studies: A Systematic Literature Review |
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