This paper is in the following e-collection/theme issue:

Telerehabilitation (217) Natural Language Processing (917) Web-based and Mobile Health Interventions (4017) New Methods (1134) New Technologies (108) Speech and Phonetics in Verbal Protocols (Think Aloud, Recall, and Explanation Tasks) (95)

Published on in Vol 10 (2023)

This is a member publication of University of Sheffield (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47542, first published .
Identifying the Active Ingredients of a Computerized Speech and Language Therapy Intervention for Poststroke Aphasia: Multiple Methods Investigation Alongside a Randomized Controlled Trial

Identifying the Active Ingredients of a Computerized Speech and Language Therapy Intervention for Poststroke Aphasia: Multiple Methods Investigation Alongside a Randomized Controlled Trial

Identifying the Active Ingredients of a Computerized Speech and Language Therapy Intervention for Poststroke Aphasia: Multiple Methods Investigation Alongside a Randomized Controlled Trial

Authors of this article:

Madeleine Harrison1 Author Orcid Image ;   Rebecca Palmer1 Author Orcid Image ;   Cindy Cooper1 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Atalık G, Kulak Kayıkcı M. Increasing frequency of therapy by software-based treatment of naming ability in people with aphasia: a preliminary study. Disability and Rehabilitation: Assistive Technology 2025;20(4):1056 View
  2. Kim S, Kim M, Cho S, Kim J, Kim J, Kim Y. Self-administered lexical retrieval therapy app in post-stroke aphasia: A pilot study evaluating feasibility, usability, and effectiveness. DIGITAL HEALTH 2025;11 View