Literature DB >> 12610841

Physiotherapy based on the Bobath concept for adults with post-stroke hemiplegia: a review of effectiveness studies.

Matteo Paci1.   

Abstract

The Bobath concept, also known as neurodevelopmental treatment, is a widely used approach in the rehabilitation of hemiparetic subjects in many countries. Despite 50 years of clinical use its effectiveness is questionable. This paper aims to examine whether there is evidence to accept neurodevelopmental treatment as an effective approach. A systematic literature search was undertaken. Fifteen trials have been selected and classified according to a 5-level hierarchic scale of evidence for clinical interventions. Results show no evidence proving the effectiveness of neurodevelopmental treatment or supporting neurodevelopmental treatment as the optimal type of treatment, but neither do methodological limitations allow for conclusions of non-efficacy. Methodological aspects of selected studies are discussed and requirements for further research are suggested.

Entities:  

Mesh:

Year:  2003        PMID: 12610841     DOI: 10.1080/16501970306106

Source DB:  PubMed          Journal:  J Rehabil Med        ISSN: 1650-1977            Impact factor:   2.912


  13 in total

1.  Comparison of Bobath based and movement science based treatment for stroke: a randomised controlled trial.

Authors:  P M van Vliet; N B Lincoln; A Foxall
Journal:  J Neurol Neurosurg Psychiatry       Date:  2005-04       Impact factor: 10.154

Review 2.  Progress in sensorimotor rehabilitative physical therapy programs for stroke patients.

Authors:  Jia-Ching Chen; Fu-Zen Shaw
Journal:  World J Clin Cases       Date:  2014-08-16       Impact factor: 1.337

3.  Symptomatic therapy in multiple sclerosis: a review for a multimodal approach in clinical practice.

Authors:  João Carlos Correia de Sa; Laura Airas; Emmanuel Bartholome; Nikolaos Grigoriadis; Heinrich Mattle; Celia Oreja-Guevara; Jonathan O'Riordan; Finn Sellebjerg; Bruno Stankoff; Karl Vass; Agata Walczak; Heinz Wiendl; Bernd C Kieseier
Journal:  Ther Adv Neurol Disord       Date:  2011-05       Impact factor: 6.570

Review 4.  Gait training strategies to optimize walking ability in people with stroke: a synthesis of the evidence.

Authors:  Janice J Eng; Pei-Fang Tang
Journal:  Expert Rev Neurother       Date:  2007-10       Impact factor: 4.618

Review 5.  Rehabilitation of gait after stroke: a review towards a top-down approach.

Authors:  Juan-Manuel Belda-Lois; Silvia Mena-del Horno; Ignacio Bermejo-Bosch; Juan C Moreno; José L Pons; Dario Farina; Marco Iosa; Marco Molinari; Federica Tamburella; Ander Ramos; Andrea Caria; Teodoro Solis-Escalante; Clemens Brunner; Massimiliano Rea
Journal:  J Neuroeng Rehabil       Date:  2011-12-13       Impact factor: 4.262

6.  Exercise in multiple sclerosis -- an integral component of disease management.

Authors:  Andrea Döring; Caspar F Pfueller; Friedemann Paul; Jan Dörr
Journal:  EPMA J       Date:  2011-12-24       Impact factor: 6.543

7.  Robotic assessment of the influence of age on upper-limb sensorimotor function.

Authors:  Ana Llinares; Francisco Javier Badesa; Ricardo Morales; Nicolas Garcia-Aracil; J M Sabater; Eduardo Fernandez
Journal:  Clin Interv Aging       Date:  2013-07-10       Impact factor: 4.458

8.  Functional versus Nonfunctional Rehabilitation in Chronic Ischemic Stroke: Evidences from a Randomized Functional MRI Study.

Authors:  Maristela C X Pelicioni; Morgana M Novaes; Andre S C Peres; Altay A Lino de Souza; Cesar Minelli; Soraia R C Fabio; Octavio M Pontes-Neto; Antonio C Santos; Draulio B de Araujo
Journal:  Neural Plast       Date:  2015-12-28       Impact factor: 3.599

9.  Randomized controlled comparative study on effect of training to improve lower limb motor paralysis in convalescent patients with post-stroke hemiplegia.

Authors:  Kenji Kawakami; Hiroyuki Miyasaka; Sayaka Nonoyama; Kazuya Hayashi; Yusuke Tonogai; Genichi Tanino; Yosuke Wada; Akihisa Narukawa; Yuko Okuyama; Yutaka Tomita; Shigeru Sonoda
Journal:  J Phys Ther Sci       Date:  2015-09-30

10.  Detection and Classification of Stroke Gaits by Deep Neural Networks Employing Inertial Measurement Units.

Authors:  Fu-Cheng Wang; Szu-Fu Chen; Chin-Hsien Lin; Chih-Jen Shih; Ang-Chieh Lin; Wei Yuan; You-Chi Li; Tien-Yun Kuo
Journal:  Sensors (Basel)       Date:  2021-03-07       Impact factor: 3.576

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.