iPractice: Piloting the Effectiveness of a Tablet-Based Home Practice Program in Aphasia Treatment
Open accessAbstract
The current study investigated the effectiveness of a home practice program based on the iPad (Apple Inc., Cupertino, CA), implemented after 2 weeks of intensive language therapy, for maintaining and augmenting treatment gains in people with chronic poststroke aphasia. Five of eight original participants completed the 6-month home practice program in which they autonomously practiced retrieving words for objects and actions. Half of these words had been trained and half were untrained during therapy. Practice included tasks such as naming to confrontation, repeating from a video model, and picture/word matching presented on an iPad. All participants maintained advances made on words trained during the intensive treatment and additionally were able to learn new words by practicing daily over a 6-month period. The iPad and other tablet devices have great potential for personalized home practice to maintain and augment traditional aphasia rehabilitation. It appears that motivation to use the technology and adequate training are more important factors than age, aphasia type or severity, or prior experience with computers.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Most existing studies with VR-based cognitive rehabilitation focused on specific language domains such as word retrieval, sentence building, and language comprehension.
“Most of the existing studies with VR-based cognitive rehabilitation focused on specific language domains [25–28], such as word retrieval [18, 19, 43, 44, 46–48], sentence building [20, 21], and language comprehension [22].”
From Conversational Therapy through Semi-Immersive Virtual Reality Environments for Language Recovery and Psychological Well-Being in Post Stroke Aphasia (2020) · cites this paper as [28]
The Abstract (Method; page unavailable) describes an iPad home-practice program targeting word retrieval, so this paper supports the word-retrieval example. It does not describe a VR-based intervention or establish that most VR rehabilitation studies focus on specific language domains; the sentence cites other works for sentence building and comprehension. (LLM, conf=0.87)
Experimental — accuracy not yet measurediPad-based aphasia rehabilitation treatments have mostly investigated impact only on language functions.
“Additionally, iPad-based aphasia rehabilitation treatments have been investigated but, as for computer therapies, most of the findings investigated the impact only on language functions [25–28].”
From Conversational Therapy through Semi-Immersive Virtual Reality Environments for Language Recovery and Psychological Well-Being in Post Stroke Aphasia (2020) · cites this paper as [28]
Some aphasia research highlights limitations in using technology with this population, while other research demonstrates positive outcomes in improving language skills with technology.
“While some aphasia research highlights the limitations in using technology with this population (17, 18), other research demonstrates positive outcomes in improving language skills with technology (19–22).”
From A Virtual, Randomized, Control Trial of a Digital Therapeutic for Speech, Language, and Cognitive Intervention in Post-stroke Persons With Aphasia (2021) · cites this paper as [22]
Additional evidence from case series and small group studies proves the utility of app-based therapy for adults with aphasia in the chronic stages.
“Additional evidence derived from case series and small group studies also proves the utility of app-based therapy for adults with aphasia in the chronic stages.”
Participants in case series and small group studies have shown improvements across a variety of outcome measures, including naming of trained and untrained items, standardized language and cognitive assessment batteries, and spoken discourse.
“Participants in these studies have shown improvements across a variety of outcome measures, including naming of trained and untrained items, standardized language and cognitive assessment batteries, and spoken discourse [15,17-19].”
Outcome-oriented feedback which visualizes the learning progress is motivating.
“Outcome-oriented feedback which visualizes the learning progress is motivating (Kurland et al., 2014).”
From Improving lexical retrieval with LingoTalk: an app-based, self-administered treatment for clients with aphasia (2023) · cites this paper as Kurland et al., 2014
Words were most commonly selected from vocabulary databases (n = 15), although some studies focused on personally relevant words chosen by the person with aphasia based on their interests or communication needs (n = 9).
“Words were most commonly selected from vocabulary databases ( n = 15) [ 34 , 35 , 36 , 37 , 40 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 ], although some studies focused on personally relevant words, chosen by the PWA based on their interests or communication needs ( n = 9) [ 12 , 14 , 33 , 38 , 39 , 41 , 42 , 53 , 54 ].”
From Computer- and Smart-Tablet-Based Self-Administered Treatments in Chronic Post-Stroke Aphasia: A Systematic Review (2025) · cites this paper as [36]
Most word production studies targeted nouns, although some included verbs (n = 9), proper nouns (n = 3), or adjectives (n = 1).
“Most studies targeted nouns, although some studies included verbs ( n = 9) [ 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 ], proper nouns ( n = 3) [ 14 , 42 , 43 ], or adjectives ( n = 1) [ 41 ].”
From Computer- and Smart-Tablet-Based Self-Administered Treatments in Chronic Post-Stroke Aphasia: A Systematic Review (2025) · cites this paper as [36]
In a few studies (4/39: 10.26%), an SLP-led therapy preceded the self-administered treatment, with results showing that home practice programs effectively promoted continued language recovery.
“In a few studies (4/39: 10.26%), an SLP-led therapy preceded the self-administered treatment, with results showing that home practice programs effectively promoted continued language recovery [ 36 ].”
From Computer- and Smart-Tablet-Based Self-Administered Treatments in Chronic Post-Stroke Aphasia: A Systematic Review (2025) · cites this paper as [36]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Snodgrass, J. G., & Vanderwart, M. (1980) · Journal of Experimental Psychology Human Learning & Memory · doi:10.1037//0278-7393.6.2.174 · Cited by 5,604 · see citing works
Snodgrass, J. G., & Vanderwart, M. (1980) · Journal of Experimental Psychology Human Learning & Memory · doi:10.1037/0278-7393.6.2.174 · Cited by 3,635 · see citing works
Assessment of Aphasia and Related Disorders
Sarno, M. T. (1973) · Physical Therapy · doi:10.1093/ptj/53.2.225b · Cited by 2,256 · see citing works
Intensity of Aphasia Therapy, Impact on Recovery
Bhogal, S. K., Teasell, R., & Speechley, M. (2003) · Stroke · doi:10.1161/01.str.0000062343.64383.d0 · Cited by 719 · see citing works
Constraint-Induced Therapy of Chronic Aphasia After Stroke
Pulvermüller, F., Neininger, B., Elbert, T., Mohr, B., Rockstroh, B., Koebbel, P., & Taub, E. (2001) · Stroke · doi:10.1161/01.str.32.7.1621 · Cited by 683 · see citing works
Evaluating Single-Subject Treatment Research: Lessons Learned from the Aphasia Literature
Beeson, P. M., & Robey, R. R. (2006) · Neuropsychology Review · doi:10.1007/s11065-006-9013-7 · Cited by 549 · cited 1× · see citing works
“1) per Robey and Beeson.(23,24) Integrated effect size per Ramsberger and Marie,(6) where “strong” indicates all measures are significant.”
BackgroundAphasia therapy on a neuroscience basis
Pulvermüller, F., & Berthier, M. (2008) · Aphasiology · doi:10.1080/02687030701612213 · Cited by 281 · see citing works
Cherney, L. R., Patterson, J. P., Raymer, A. M., Frymark, T. B., & Schooling, T. L. (2008) · Journal of Speech Language and Hearing Research · doi:10.1044/1092-4388(2008/07-0206 · Cited by 279 · see citing works
Adult Aphasia Rehabilitation : Applied Pragmatics
Davis, G. A., & Wilcox, M. J. (1985) · Medical Entomology and Zoology · Cited by 249 · see citing works
Ramsberger, G., & Marie, B. (2007) · American Journal of Speech-Language Pathology · doi:10.1044/1058-0360(2007/038 · Cited by 102 · see citing works
Fink, R. B., Brecher, A., Schwartz, M. F., & Robey, R. R. (2002) · Aphasiology · doi:10.1080/02687030244000400 · Cited by 98 · see citing works
Masterson, J., & Druks, J. (1998) · Journal of Neurolinguistics · doi:10.1016/s0911-6044(98)00023-2 · Cited by 96 · see citing works
Aphasia Therapy or The importance of being earnest
Basso, A., & Caporali, A. (2001) · Aphasiology · doi:10.1080/02687040042000304 · Cited by 88 · see citing works
Mobile computing technology and aphasia: an integrated review of accessibility and potential uses
Brandenburg, C., Worrall, L., Rodriguez, A. D., & Copland, D. (2013) · Aphasiology · doi:10.1080/02687038.2013.772293 · Cited by 84 · see citing works
The Internet and aphasia: Crossing the digital divide
Elman, R. J. (2001) · Aphasiology · doi:10.1080/02687040143000267 · Cited by 46 · see citing works
How to Use Apps Clinically in the Treatment of Aphasia
Holland, A., Weinberg, P. C., & Dittelman, J. (2012) · Seminars in Speech and Language · doi:10.1055/s-0032-1320042 · Cited by 27 · see citing works
Designing intelligent interfaces for users with memory and language limitations
Singh, S. (2000) · Aphasiology · doi:10.1080/026870300401531 · Cited by 25 · see citing works
Pragmatic Approaches to Aphasia Therapy
Carlomagno, S. (1994) · Cited by 25 · see citing works
Therapy Session 2.0: From Static to Dynamic With the iPad
Atticks, A. H. (2012) · Perspectives on Gerontology · doi:10.1044/gero17.3.84 · Cited by 14 · see citing works
Kiran, S., Roches, C. D., Balanchandran, I., & Ascenso, E. M. (2013) · The Aphasiology Archive (University of Pittsburgh) · Cited by 3 · see citing works
Kleim (n.d.) · doi:10.1044/1092-4388(2008/018
Flagged first, then by citations
Research works printed but not linked: 1
- [8]Palmer R Enderby P Cooper CC Latimer N Julious S Paterson G Computer therapy compared with usual care for people with long-standing aphasia poststroke: A pilot randomized controlled trial Stroke 2012 43 1904 1911 22733794
Cited by
Sorted by citations
Des Roches, C. A., Balachandran, I., Ascenso, E. M., Tripodis, Y., & Kiran, S. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.01015 · Cited by 130 · see citing works
Braley, M., Pierce, J. S., Saxena, S., De Oliveira, E., Taraboanta, L., Anantha, V., Lakhan, S. E., & Kiran, S. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.626780 · Cited by 80 · see citing works
Digital Therapeutics: Emerging New Therapy for Neurologic Deficits after Stroke
Choi, M. J., Kim, H., Nah, H.-W., & Kang, D.-W. (2019) · Journal of Stroke · doi:10.5853/jos.2019.01963 · Cited by 63 · see citing works
Effectiveness of technologies in the treatment of post-stroke anomia: A systematic review
Lavoie, M., Macoir, J., & Bier, N. (2017) · Journal of Communication Disorders · doi:10.1016/j.jcomdis.2017.01.001 · Cited by 55 · see citing works
Giachero, A., Calati, M., Pia, L., La Vista, L., Molo, M., Rugiero, C., Fornaro, C., & Marangolo, P. (2020) · Behavioural Neurology · doi:10.1155/2020/2846046 · Cited by 54 · see citing works
Mallet, K. H., Shamloul, R. M., Corbett, D., Finestone, H. M., Hatcher, S., Lumsden, J., Momoli, F., Shamy, M. C. F., Stotts, G., Swartz, R. H., et al. (2016) · PLOS ONE · doi:10.1371/journal.pone.0167950 · Cited by 51 · see citing works
Benchmarks of Significant Change After Aphasia Rehabilitation
Gilmore, N., Dwyer, M., & Kiran, S. (2019) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2018.08.177 · Cited by 54 · see citing works
Godlove, J., Anantha, V., Advani, M., Des Roches, C., & Kiran, S. (2019) · Frontiers in Neurology · doi:10.3389/fneur.2019.00140 · Cited by 38 · see citing works
Treatment of verb anomia in aphasia: efficacy of self-administered therapy using a smart tablet
Lavoie, M., Routhier, S., Légaré, A., & Macoir, J. (2016) · Neurocase · doi:10.1080/13554794.2015.1051055 · Cited by 36 · see citing works
Routhier, S., Bier, N., & Macoir, J. (2014) · Aphasiology · doi:10.1080/02687038.2014.973361 · Cited by 35 · see citing works
Technology-Based Rehabilitation to Improve Communication after Acquired Brain Injury
Des Roches, C. A., & Kiran, S. (2017) · Frontiers in Neuroscience · doi:10.3389/fnins.2017.00382 · Cited by 37 · see citing works
Effect of mobile application types on stroke rehabilitation: a systematic review
Szeto, S. G., Wan, H., Alavinia, M., Dukelow, S., & MacNeill, H. (2023) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-023-01124-9 · Cited by 29 · see citing works
Key factors for the success of self-administered treatments of poststroke aphasia using technologies
Macoir, J., Lavoie, M., Routhier, S., & Bier, N. (2019) · Telemedicine and e-Health · doi:10.1089/tmj.2018.0116 · Cited by 21 · see citing works
Alam, N., Munjal, S., Panda, N. K., Kumar, R., & Gupta, S. (2023) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2021.1892844 · Cited by 14 · see citing works
Kim, E. S., Laird, L., Wilson, C., Bieg, T., Mildner, P., Möller, S., Schatz, R., Schwarz, S., Spang, R., Voigt-Antons, J.-N., et al. (2021) · JMIR Research Protocols · doi:10.2196/30621 · Cited by 12 · see citing works
Ericson, C., Latysheva, A., Poirier, S.-È., & Fossard, M. (2025) · Brain Sciences · doi:10.3390/brainsci15020122 · Cited by 7 · see citing works
“In three of these studies, the tasks used during the SLP-led therapy differed from those used in the self-administered therapy (although the treatment goals were similar) [36,37,46], while in one study, the tasks were identical [54].”
InfluentialHeide, J., Netzebandt, J., Ahrens, S., Brüsch, J., Saalfrank, T., & Schmitz-Antonischki, D. (2023) · Frontiers in Communication · doi:10.3389/fcomm.2023.1210193 · Cited by 6 · see citing works
Brown, E. V. D., Wallace, S. E., & Lee, J. B. (2025) · Aphasiology · doi:10.1080/02687038.2024.2415942 · Cited by 2 · see citing works
Kodani, Y., Nagami, S., Yokozeki, A., Fukunaga, S., Nakamura, K., & Nakamura, H. (2025) · PLOS ONE · doi:10.1371/journal.pone.0319805 · Cited by 1 · see citing works
Alhejji, B., Cunningham, S., Dorney, S., & Palmer, R. (2026) · International Journal of Language & Communication Disorders · doi:10.1111/1460-6984.70322 · Cited by 1 · see citing works
- Authors
- Wilkins, A., Stokes, P., & Kurland, J.
- Affiliations
- University of Massachusetts Amherst (US)
- Corresponding author
- Kurland, Jacquie
- ORCID
- Kurland, Jacquie
- Venue
- Seminars in Speech and Language
- Publisher
- Georg Thieme Verlag KG
- Published
- 2014-01-21
- Volume
- 35
- Issue
- 01
- Pages
- 051-064
- ISSN
- 0734-0478 (ISSN-L)
- 1098-9056
- PMC
- PMC3931518
- OpenAlex
- W2330107473
- Cited by
- 115
- References
- 21
- Citations by year
- 2026: 5 · 2025: 8 · 2024: 5 · 2023: 8 · 2022: 11 · 2021: 12 · 2020: 13 · 2019: 10 · 2018: 16 · 2017: 11 · 2016: 5 · 2015: 6 · 2014: 5
- FWCI
- 5.02
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Seminars in Speech and Language (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health
- National Institute on Deafness and Other Communication Disorders (R01DC011526)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Keywords
- aphasia, post-stroke aphasia, home practice, tablet-based intervention, iPad, maintenance of treatment gains, word retrieval, video modeling, picture-word matching, technology acceptance, motivation, personalized rehabilitation
- MeSH terms
- Stroke Rehabilitation, Aged, Aged, 80 and over, Aphasia, Female, Humans, Language Therapy, Male, Middle Aged, Treatment Outcome, Stroke, Computers, Handheld, Mobile Applications
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review