Literature DB >> 24582618

Scales to assess gross motor function in stroke patients: a systematic review.

María Dolores Gor-García-Fogeda1, Francisco Molina-Rueda2, Alicia Cuesta-Gómez1, María Carratalá-Tejada1, Isabel M Alguacil-Diego1, Juan Carlos Miangolarra-Page1.   

Abstract

OBJECTIVE: To assess the clinical and psychometric properties of stroke motor assessment scales. DATA SOURCES: The databases consulted for the literature research were MEDLINE, PEDro, ISI Web of Knowledge, and Cumulative Index to Nursing and Allied Health (CINAHL). The search was carried out between March 2011 and January 2014. STUDY SELECTION: Studies that describe and validate a measurement scale designed to assess gross motor function in stroke. The articles were classified according to the levels of evidence and grades of recommendation for diagnosis studies of the Oxford Center for Evidence-Based Medicine. DATA EXTRACTION: General characteristics of the studies, including number of patients, motor function assessment scales analyzed, and their psychometric properties, were collected. DATA SYNTHESIS: After the literature search, 19 articles were included in this review; 32 articles were excluded for not meeting the inclusion criteria. Four of the 19 articles studied the Motor Assessment Scale, 5 the Fugl-Meyer Assessment, 3 investigated the Sodring Motor Evaluation for Stroke Patients, 4 the Stroke Rehabilitation Assessment of Movement, 2 were about the Motricity Index, and 2 about the Rivermead Motor Assessment. All of them were classified as level 2b according to the levels of evidence and grades of recommendation.
CONCLUSIONS: All the scales compiled in this review have been shown to be useful both in clinical practice and in terms of research. The most suitable scales to be used in the clinical field would be the short versions of the Fugl-Meyer Assessment and the Stroke Rehabilitation Assessment of Movement. A real consensus about the measurement of gross motor function in patients with stroke is not available in the recent literature.
Copyright © 2014 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Motor activity; Motor skills disorders; Paresis; Rehabilitation; Stroke

Mesh:

Year:  2014        PMID: 24582618     DOI: 10.1016/j.apmr.2014.02.013

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  10 in total

Review 1.  Effects of Central Nervous System Drugs on Recovery After Stroke: A Systematic Review and Meta-Analysis of Randomized Controlled Trials.

Authors:  See-Hwee Yeo; Zheng-Jie Ian Lim; Jia Mao; Wai-Ping Yau
Journal:  Clin Drug Investig       Date:  2017-10       Impact factor: 2.859

2.  Moving toward Appropriate Motor Assessment Tools in People Affected by Severe Acquired Brain Injury: A Scoping Review with Clinical Advices.

Authors:  Mirjam Bonanno; Rosaria De Luca; William Torregrossa; Paolo Tonin; Rocco Salvatore Calabrò
Journal:  Healthcare (Basel)       Date:  2022-06-15

3.  Using Machine Learning to Develop a Short-Form Measure Assessing 5 Functions in Patients With Stroke.

Authors:  Gong-Hong Lin; Chih-Ying Li; Ching-Fan Sheu; Chien-Yu Huang; Shih-Chieh Lee; Yu-Hui Huang; Ching-Lin Hsieh
Journal:  Arch Phys Med Rehabil       Date:  2021-12-31       Impact factor: 4.060

4.  Early prediction of long-term upper limb spasticity after stroke: part of the SALGOT study.

Authors:  Arve Opheim; Anna Danielsson; Margit Alt Murphy; Hanna C Persson; Katharina Stibrant Sunnerhagen
Journal:  Neurology       Date:  2015-08-14       Impact factor: 9.910

5.  New design of home-based dynamic hand splint for hemiplegic hands: a preliminary study.

Authors:  Wen-Dien Chang; Ping-Tung Lai
Journal:  J Phys Ther Sci       Date:  2015-03-31

6.  Evaluation of Functional Correlation of Task-Specific Muscle Synergies with Motor Performance in Patients Poststroke.

Authors:  Si Li; Cheng Zhuang; Chuanxin M Niu; Yong Bao; Qing Xie; Ning Lan
Journal:  Front Neurol       Date:  2017-07-19       Impact factor: 4.003

Review 7.  Wearable technology in stroke rehabilitation: towards improved diagnosis and treatment of upper-limb motor impairment.

Authors:  Pablo Maceira-Elvira; Traian Popa; Anne-Christine Schmid; Friedhelm C Hummel
Journal:  J Neuroeng Rehabil       Date:  2019-11-19       Impact factor: 4.262

8.  Does Falls Efficacy Influence the Relationship Between Forward and Backward Walking Speed After Stroke?

Authors:  Kanika Bansal; David J Clark; Emily J Fox; Dorian K Rose
Journal:  Phys Ther       Date:  2021-05-04

Review 9.  The quality of systematic reviews of health-related outcome measurement instruments.

Authors:  C B Terwee; C A C Prinsen; M G Ricci Garotti; A Suman; H C W de Vet; L B Mokkink
Journal:  Qual Life Res       Date:  2015-09-07       Impact factor: 4.147

Review 10.  Quality of mobility measures among individuals with acquired brain injury: an umbrella review.

Authors:  Rehab Alhasani; Claudine Auger; Matheus Paiva Azevedo; Sara Ahmed
Journal:  Qual Life Res       Date:  2022-03-11       Impact factor: 3.440

  10 in total

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