Literature DB >> 30142032

Key Factors for the Success of Self-Administered Treatments of Poststroke Aphasia Using Technologies.

Joël Macoir1,2, Monica Lavoie1,2, Sonia Routhier3, Nathalie Bier4,5.   

Abstract

Background: Use of technology in language rehabilitation has grown significantly in recent years, and there is increasing evidence of its effectiveness in the treatment of poststroke aphasia. Technology has the potential to foster intensity and repetition by enabling people with aphasia to improve their skills without the constant presence of the clinician. The main objective of this article is to review and illustrate key factors for the success of self-administered treatments of poststroke aphasia using technologies.
Methods: We briefly reviewed technology-based treatments of aphasia and described three determining factors for the success of self-administered treatments delivered by technology, namely, treatment-related, technology-related, and patient-related factors. Two clinical cases were also presented to illustrate issues and challenges related to the various factors to be considered before proposing such treatments. Conclusions: Self-administered treatments of poststroke aphasia using new technologies enable patients to be more independent in their rehabilitation and to benefit from more intensive and extended treatment. These benefits are important in the current economic context, where human and financial resources for clinical practice are limited. Speech-language therapists should consider these opportunities and propose new methods to deliver attractive and intensive treatments of poststroke aphasia.

Entities:  

Year:  2018        PMID: 30142032     DOI: 10.1089/tmj.2018.0116

Source DB:  PubMed          Journal:  Telemed J E Health        ISSN: 1530-5627            Impact factor:   3.536


  2 in total

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Authors:  Daniel Nogueira; Paulo Abreu; Maria Teresa Restivo
Journal:  Biomed Eng Online       Date:  2019-03-07       Impact factor: 2.819

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Journal:  Int J Soc Robot       Date:  2022-08-23       Impact factor: 3.802

  2 in total

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