European evidence-based recommendations for clinical assessment of upper limb in neurorehabilitation (CAULIN): data synthesis from systematic reviews, clinical practice guidelines and expert consensus

Autor: Verena Klamroth-Marganska, Thierry Keller, Margit Alt Murphy, Jaap H. Buurke, Peter Feys, Gerdienke B. Prange-Lasonder, Annick Timmermans, Ann-Marie Hughes, Jane Burridge, Ina M. Tarkka, Ilse Lamers
Přispěvatelé: Biomechanical Engineering, Biomedical Signals and Systems
Jazyk: angličtina
Rok vydání: 2021
Předmět:
UT-Gold-D
assessment
medicine.medical_treatment
Delphi method
multiple sclerosis
Outcome measures
aivohalvaus
Outcome measure
Traumatic brain injury
International Classification of Functioning
Disability and Health
MS-tauti
upper extremity
Medicine
Upper limb
lääkinnällinen kuntoutus
Rehabilitation
traumatic brain injury
Stroke Rehabilitation
stroke
Test (assessment)
Stroke
Systematic review
RC321-571
medicine.medical_specialty
Evidence-based practice
Consensus
Upper extremity
616.8: Neurologie und Krankheiten des Nervensystems
Neurosciences. Biological psychiatry. Neuropsychiatry
Health Informatics
upper limb
kädet
Spinal cord injury
Assessment
hermoston taudit
käsivarret
aivovammat
rehabilitation
Multiple sclerosis
outcome measures
Physical medicine and rehabilitation
Humans
Therapy
Set (psychology)
Neurorehabilitation
selkäydinvammat
therapy
business.industry
Research
Reproducibility of Results
Recovery of Function
Hand
spinal cord injury
business
Zdroj: Journal of neuroengineering and rehabilitation, 18(1):162. BioMed Central
Journal of NeuroEngineering and Rehabilitation
Journal of NeuroEngineering and Rehabilitation, Vol 18, Iss 1, Pp 1-12 (2021)
TECNALIA Publications
Fundación Tecnalia Research & Innovation
ISSN: 1743-0003
Popis: Background Technology-supported rehabilitation can help alleviate the increasing need for cost-effective rehabilitation of neurological conditions, but use in clinical practice remains limited. Agreement on a core set of reliable, valid and accessible outcome measures to assess rehabilitation outcomes is needed to generate strong evidence about effectiveness of rehabilitation approaches, including technologies. This paper collates and synthesizes a core set from multiple sources; combining existing evidence, clinical practice guidelines and expert consensus into European recommendations for Clinical Assessment of Upper Limb In Neurorehabilitation (CAULIN). Methods Data from systematic reviews, clinical practice guidelines and expert consensus (Delphi methodology) were systematically extracted and synthesized using strength of evidence rating criteria, in addition to recommendations on assessment procedures. Three sets were defined: a core set: strong evidence for validity, reliability, responsiveness and clinical utility AND recommended by at least two sources; an extended set: strong evidence OR recommended by at least two sources and a supplementary set: some evidence OR recommended by at least one of the sources. Results In total, 12 measures (with primary focus on stroke) were included, encompassing body function and activity level of the International Classification of Functioning and Health. The core set recommended for clinical practice and research: Fugl-Meyer Assessment of Upper Extremity (FMA-UE) and Action Research Arm Test (ARAT); the extended set recommended for clinical practice and/or clinical research: kinematic measures, Box and Block Test (BBT), Chedoke Arm Hand Activity Inventory (CAHAI), Wolf Motor Function Test (WMFT), Nine Hole Peg Test (NHPT) and ABILHAND; the supplementary set recommended for research or specific occasions: Motricity Index (MI); Chedoke-McMaster Stroke Assessment (CMSA), Stroke Rehabilitation Assessment Movement (STREAM), Frenchay Arm Test (FAT), Motor Assessment Scale (MAS) and body-worn movement sensors. Assessments should be conducted at pre-defined regular intervals by trained personnel. Global measures should be applied within 24 h of hospital admission and upper limb specific measures within 1 week. Conclusions The CAULIN recommendations for outcome measures and assessment procedures provide a clear, simple, evidence-based three-level structure for upper limb assessment in neurological rehabilitation. Widespread adoption and sustained use will improve quality of clinical practice and facilitate meta-analysis, critical for the advancement of technology-supported neurorehabilitation.
Databáze: OpenAIRE
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