Evidence map›Paper›PMID 30682076›Full record

ArticlePloS one2019

RecoverNow: A mobile tablet-based therapy platform for early stroke rehabilitation.

Michael Pugliese, Tim Ramsay, Rany Shamloul, Karen Mallet, Lise Zakutney, Dale Corbett, Sean Dukelow, Grant Stotts, Michel Shamy, Kumanan Wilson and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Effect of mobile application types on stroke rehabilitation: a systematic review.Journal of neuroengineering and rehabilitation · 2023
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  14. mHealth Intervention Applications for Adults Living With the Effects of Stroke: A Scoping Review.Archives of rehabilitation research and clinical translation · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Michael PuglieseSchool of Epidemiology and Public Health, University of Ottawa, Ontario, Canada.ORCID 0000-0003-2794-1436
Tim RamsaySchool of Epidemiology and Public Health, University of Ottawa, Ontario, Canada.
Rany ShamloulOttawa Hospital Research Institute, Ottawa, Ontario, Canada.
Karen MalletOttawa Hospital Research Institute, Ottawa, Ontario, Canada.ORCID 0000-0003-0222-2638
Lise ZakutneyChamplain Regional Stroke Network, Ottawa, Ontario, Canada.
Dale CorbettCanadian Partnership for Stroke Recovery, Ottawa, Ontario, Canada.
Sean DukelowCanadian Partnership for Stroke Recovery, Ottawa, Ontario, Canada.
Grant StottsOttawa Hospital Research Institute, Ottawa, Ontario, Canada.
Michel ShamyOttawa Hospital Research Institute, Ottawa, Ontario, Canada.
Kumanan WilsonSchool of Epidemiology and Public Health, University of Ottawa, Ontario, Canada.
Julien GuerinetOttawa Hospital Research Institute, Ottawa, Ontario, Canada.
Dar DowlatshahiSchool of Epidemiology and Public Health, University of Ottawa, Ontario, Canada.
University of Ottawa · CAOttawa Hospital · CAHeart and Stroke Foundation · CAUniversity of Calgary · CA

Funding

CIHR
6 · The paper itself

Abstract

introductionStroke survivors frequently experience a range of post-stroke deficits. Specialized stroke rehabilitation improves recovery, especially if it is started early post-stroke. However, resource limitations often preclude early rehabilitation. Mobile technologies may provide a platform for stroke survivors to begin recovery when they might not be able to otherwise. The study objective was to demonstrate the feasibility of RecoverNow, a tablet-based stroke recovery platform aimed at delivering speech and cognitive therapy.

methodsWe recruited a convenience sample of 30 acute stroke patients to use RecoverNow for up to 3 months. Allied health professionals assigned specific applications based on standard of care assessments. Participants were encouraged to take home the RecoverNow tablets upon discharge from acute care. The study team contacted participants to return for a follow-up interview 3 months after enrollment. The primary outcome of interest was feasibility, defined using 5 facets: recruitment rate, adherence rate, retention rate, the proportion of successful follow-up interventions, and protocol deviations. We tracked barriers to tablet-based care as a secondary outcome.

resultsWe successfully recruited 30 of 62 eligible patients in 15 weeks (48% recruitment rate). Participants were non-adherent to tablet-based therapy inside and outside of acute care, using RecoverNow for a median of 12 minutes a day. Retention was high with 23 of 30 patients participating in follow-up interviews (77% retention rate) and all but 3 of the 23 interviews (87%) were successfully completed. Only 2 major protocol deviations occurred: one enrollment failure and one therapy protocol violation. Barriers to tablet-based care were frequently encountered by study participants with many expressing the assigned applications were either too easy or too difficult.

conclusionsAcute stroke patients are interested in attempting tablet-based stroke rehabilitation and are easily recruited early post-stroke. However, tablet-based therapy may be challenging due to patient, device and system-related barriers. Reducing the frequency of common barriers will be essential to keeping patients engaged in tablet-based therapy.

Indexed as

Mobile ApplicationsAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPatient DischargeProspective StudiesStrokeStroke Rehabilitation

Identifiers

PMID30682076
PMCPMC6347149
OpenAlexW2907173810

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.