Technology-Enhanced Reading Therapy for People With Aphasia: Findings From a Quasirandomized Waitlist Controlled Study.


Journal

Journal of speech, language, and hearing research : JSLHR
ISSN: 1558-9102
Titre abrégé: J Speech Lang Hear Res
Pays: United States
ID NLM: 9705610

Informations de publication

Date de publication:
18 12 2019
Historique:
pubmed: 26 11 2019
medline: 10 10 2020
entrez: 26 11 2019
Statut: epublish

Résumé

Purpose This study investigated the effects of technology-enhanced reading therapy for people with reading impairments, using mainstream assistive reading technologies alongside reading strategies. Method The study used a quasirandomized waitlist controlled design. Twenty-one people with reading impairments following stroke were randomly assigned to receive 14 hr of therapy immediately or after a 6-week delay. During therapy, participants were trained to use assistive reading technology that offered a range of features to support reading comprehension. They developed skills in using the technology independently and in applying the technology to their personal reading goals. The primary outcome measure assessed reading comprehension, using Gray Oral Reading Test-Fourth Edition (GORT-4). Secondary measures were as follows: Reading Comprehension Battery for Aphasia-Second Edition, Reading Confidence and Emotions Questionnaire, Communication Activities of Daily Living-Second Edition, Visual Analog Mood Scales, and Assessment of Living With Aphasia. Matched texts were used with the GORT-4 to compare technology-assisted and unassisted reading comprehension. Mixed analyses of variance explored change between T1 and T2, when the immediate group had received therapy but the delayed group had not, thus serving as untreated controls. Pretherapy, posttherapy, and follow-up scores on the measures were also examined for all participants. Results GORT-4 results indicated that the immediately treated group improved significantly in technology-assisted reading following therapy, but not in unassisted reading. However, the data were not normally distributed, and secondary nonparametric analysis was not significant. The control group was unstable over the baseline, improving significantly in unassisted reading. The whole-group analysis showed significant gains in assisted (but not unassisted) reading after therapy that were maintained at follow-up. The Reading Confidence and Emotions Questionnaire results improved significantly following therapy, with good maintenance of change. Results on all other secondary measures were not significant. Conclusions Technology-assisted reading comprehension improved following the intervention, with treatment compensating for, rather than remediating, the reading impairment. Participants' confidence and emotions associated with reading also improved. Gains were achieved after 14 therapy sessions, using assistive technologies that are widely available and relatively affordable, meaning that this approach could be implemented in clinical practice.

Identifiants

pubmed: 31765277
doi: 10.1044/2019_JSLHR-L-18-0484
doi:

Types de publication

Journal Article Randomized Controlled Trial Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

4382-4416

Auteurs

Anna Caute (A)

Division of Language and Communication Science, City University of London, United Kingdom.
School of Health and Social Care, University of Essex, United Kingdom.

Celia Woolf (C)

Division of Language and Communication Science, City University of London, United Kingdom.

Stephanie Wilson (S)

Centre for Human Computer Interaction Design, City University of London, United Kingdom.

Carol Stokes (C)

Division of Language and Communication Science, City University of London, United Kingdom.
Speech and Language Therapy Department, Barts Health NHS Trust, London, United Kingdom.

Katie Monnelly (K)

Division of Language and Communication Science, City University of London, United Kingdom.

Madeline Cruice (M)

Division of Language and Communication Science, City University of London, United Kingdom.

Katherine Bacon (K)

Division of Language and Communication Science, City University of London, United Kingdom.

Jane Marshall (J)

Division of Language and Communication Science, City University of London, United Kingdom.

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Classifications MeSH