Can a Writing Intervention Using Mainstream Assistive Technology Software Compensate for Dysgraphia and Support Reading Comprehension for People with Aphasia?

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Title: Can a Writing Intervention Using Mainstream Assistive Technology Software Compensate for Dysgraphia and Support Reading Comprehension for People with Aphasia?
Language: English
Authors: Becky Moss (ORCID 0000-0003-0340-533X), Jane Marshall, Celia Woolf, Katerina Hilari (ORCID 0000-0003-2091-4849)
Source: International Journal of Language & Communication Disorders. 2024 59(3):1090-1109.
Availability: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
Peer Reviewed: Y
Page Count: 20
Publication Date: 2024
Document Type: Journal Articles
Reports - Research
Descriptors: Writing (Composition), Writing Instruction, Intervention, Assistive Technology, Computer Software, Learning Disabilities, Reading Comprehension, Aphasia, Writing Difficulties, Writing Improvement, Scores, Neurological Impairments, Speech Therapy, Outcome Measures, Computer Assisted Instruction
DOI: 10.1111/1460-6984.12975
ISSN: 1368-2822
1460-6984
Abstract: Background: Stroke profoundly affects quality of life (QOL), including loss of employment, reduced social activity, shrinking social networks and low mood. Dysgraphia (impaired writing) is a common symptom of aphasia yet is rarely targeted in rehabilitation. Recent technological advances might challenge this, since much communication is now conducted digitally through writing. The rehabilitation of writing may therefore help to address the wider consequences of stroke and aphasia. Aims: Can assistive technology (AT) training for people with dysgraphia: (1) improve written output, and are gains achieved only with AT? (2) improve reading comprehension scores, and are gains achieved only with AT? and (3) affect social participation, mood or QOL. Methods and Procedures: Design: A mixed-methods, repeated measures, small group study design was adopted (qualitative outcomes will be reported elsewhere). Participants: Recruited from community settings, for example, Stroke Association communication support groups. Inclusion criteria: over 18 years old, aphasia due to stroke, acquired dysgraphia, writing more impaired than speech, fluent English prior to stroke, access to computer and Internet. Exclusion criteria: currently receiving speech and language therapy, significant cognitive impairment, neuromuscular/motor-speech impairments/structural abnormalities, developmental dyslexia, uncorrected visual/auditory impairments. Procedures: Screening and diagnostic assessments at time T1 (first baseline). Outcome measures at T1; repeated at T2 (second baseline), T3 (end of intervention), T4 (3-month follow up). Social participation assessment and cognitive monitoring at T2, T3, T4. Intervention: Seven-ten hours individual therapy weekly and additional email support. Participants were trained to operate Dragon NaturallySpeaking (speech to text package) and ClaroRead (read writing aloud). Outcome measures were administered on pen and paper (control) and on computer, with AT enabled only at T3, T4. Outcomes and Results: Computer narrative writing was significantly improved by AT training (Friedman's X[superscript 2] (3) = 8.27, p = 0.041), indicating a compensatory effect of AT. Though reading comprehension significantly improved in the computer condition (Friedman's X[superscript 2] (3) = 21.07, p = 0.001), gains could not be attributed to the AT. Gains were achieved only when measures were administered on the keyboard, with AT enabled. Thus, a compensatory rather than remediatory effect was suggested. Social network size significantly increased; there were no significant changes in mood/QOL. Individual success rates varied. Conclusion and Implications: The customisable AT training was acceptable to participants and resulted in significantly improved narrative writing. Compensatory AT interventions are a useful adjunct to remediatory writing interventions and may particularly support functional writing.
Abstractor: As Provided
Entry Date: 2024
Accession Number: EJ1423610
Database: ERIC
FullText Text:
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  Data: Can a Writing Intervention Using Mainstream Assistive Technology Software Compensate for Dysgraphia and Support Reading Comprehension for People with Aphasia?
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  Data: <searchLink fieldCode="AR" term="%22Becky+Moss%22">Becky Moss</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-0340-533X">0000-0003-0340-533X</externalLink>)<br /><searchLink fieldCode="AR" term="%22Jane+Marshall%22">Jane Marshall</searchLink><br /><searchLink fieldCode="AR" term="%22Celia+Woolf%22">Celia Woolf</searchLink><br /><searchLink fieldCode="AR" term="%22Katerina+Hilari%22">Katerina Hilari</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0003-2091-4849">0000-0003-2091-4849</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22International+Journal+of+Language+%26+Communication+Disorders%22"><i>International Journal of Language & Communication Disorders</i></searchLink>. 2024 59(3):1090-1109.
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  Data: Wiley. Available from: John Wiley & Sons, Inc. 111 River Street, Hoboken, NJ 07030. Tel: 800-835-6770; e-mail: cs-journals@wiley.com; Web site: https://www.wiley.com/en-us
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  Data: Y
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  Data: 20
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  Data: Journal Articles<br />Reports - Research
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  Data: <searchLink fieldCode="DE" term="%22Writing+%28Composition%29%22">Writing (Composition)</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+Instruction%22">Writing Instruction</searchLink><br /><searchLink fieldCode="DE" term="%22Intervention%22">Intervention</searchLink><br /><searchLink fieldCode="DE" term="%22Assistive+Technology%22">Assistive Technology</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Software%22">Computer Software</searchLink><br /><searchLink fieldCode="DE" term="%22Learning+Disabilities%22">Learning Disabilities</searchLink><br /><searchLink fieldCode="DE" term="%22Reading+Comprehension%22">Reading Comprehension</searchLink><br /><searchLink fieldCode="DE" term="%22Aphasia%22">Aphasia</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+Difficulties%22">Writing Difficulties</searchLink><br /><searchLink fieldCode="DE" term="%22Writing+Improvement%22">Writing Improvement</searchLink><br /><searchLink fieldCode="DE" term="%22Scores%22">Scores</searchLink><br /><searchLink fieldCode="DE" term="%22Neurological+Impairments%22">Neurological Impairments</searchLink><br /><searchLink fieldCode="DE" term="%22Speech+Therapy%22">Speech Therapy</searchLink><br /><searchLink fieldCode="DE" term="%22Outcome+Measures%22">Outcome Measures</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Assisted+Instruction%22">Computer Assisted Instruction</searchLink>
– Name: DOI
  Label: DOI
  Group: ID
  Data: 10.1111/1460-6984.12975
– Name: ISSN
  Label: ISSN
  Group: ISSN
  Data: 1368-2822<br />1460-6984
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Background: Stroke profoundly affects quality of life (QOL), including loss of employment, reduced social activity, shrinking social networks and low mood. Dysgraphia (impaired writing) is a common symptom of aphasia yet is rarely targeted in rehabilitation. Recent technological advances might challenge this, since much communication is now conducted digitally through writing. The rehabilitation of writing may therefore help to address the wider consequences of stroke and aphasia. Aims: Can assistive technology (AT) training for people with dysgraphia: (1) improve written output, and are gains achieved only with AT? (2) improve reading comprehension scores, and are gains achieved only with AT? and (3) affect social participation, mood or QOL. Methods and Procedures: Design: A mixed-methods, repeated measures, small group study design was adopted (qualitative outcomes will be reported elsewhere). Participants: Recruited from community settings, for example, Stroke Association communication support groups. Inclusion criteria: over 18 years old, aphasia due to stroke, acquired dysgraphia, writing more impaired than speech, fluent English prior to stroke, access to computer and Internet. Exclusion criteria: currently receiving speech and language therapy, significant cognitive impairment, neuromuscular/motor-speech impairments/structural abnormalities, developmental dyslexia, uncorrected visual/auditory impairments. Procedures: Screening and diagnostic assessments at time T1 (first baseline). Outcome measures at T1; repeated at T2 (second baseline), T3 (end of intervention), T4 (3-month follow up). Social participation assessment and cognitive monitoring at T2, T3, T4. Intervention: Seven-ten hours individual therapy weekly and additional email support. Participants were trained to operate Dragon NaturallySpeaking (speech to text package) and ClaroRead (read writing aloud). Outcome measures were administered on pen and paper (control) and on computer, with AT enabled only at T3, T4. Outcomes and Results: Computer narrative writing was significantly improved by AT training (Friedman's X[superscript 2] (3) = 8.27, p = 0.041), indicating a compensatory effect of AT. Though reading comprehension significantly improved in the computer condition (Friedman's X[superscript 2] (3) = 21.07, p = 0.001), gains could not be attributed to the AT. Gains were achieved only when measures were administered on the keyboard, with AT enabled. Thus, a compensatory rather than remediatory effect was suggested. Social network size significantly increased; there were no significant changes in mood/QOL. Individual success rates varied. Conclusion and Implications: The customisable AT training was acceptable to participants and resulted in significantly improved narrative writing. Compensatory AT interventions are a useful adjunct to remediatory writing interventions and may particularly support functional writing.
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  Data: 2024
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      – Type: doi
        Value: 10.1111/1460-6984.12975
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 20
        StartPage: 1090
    Subjects:
      – SubjectFull: Writing (Composition)
        Type: general
      – SubjectFull: Writing Instruction
        Type: general
      – SubjectFull: Intervention
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      – SubjectFull: Assistive Technology
        Type: general
      – SubjectFull: Computer Software
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      – SubjectFull: Learning Disabilities
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      – SubjectFull: Reading Comprehension
        Type: general
      – SubjectFull: Aphasia
        Type: general
      – SubjectFull: Writing Difficulties
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      – SubjectFull: Writing Improvement
        Type: general
      – SubjectFull: Scores
        Type: general
      – SubjectFull: Neurological Impairments
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      – SubjectFull: Speech Therapy
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      – SubjectFull: Outcome Measures
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      – SubjectFull: Computer Assisted Instruction
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      – TitleFull: Can a Writing Intervention Using Mainstream Assistive Technology Software Compensate for Dysgraphia and Support Reading Comprehension for People with Aphasia?
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            NameFull: Becky Moss
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              Y: 2024
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