Evidence map›Paper›PMID 38055318›Full record

ArticleJMIR mHealth and uHealth2023

Mobile Technology-Based Interventions for Stroke Self-Management Support: Scoping Review.

Alexandra N Thompson, Deirdre R Dawson, Jean Michelle Legasto-Mulvale, Nivetha Chandran, Chelsea Tanchip, Veronika Niemczyk, Jillian Rashkovan, Saisa Jeyakumar, Rosalie H Wang, Jill I Cameron and 1 more

Abstract readScoping Review
In one paragraph

Article in JMIR mHealth and uHealth, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Intensive, Multi-Technology Rehabilitation Programme for Chronic Stroke Survivors: Outcomes of a Phase I Single-Arm Repeated-Measures Study.Physiotherapy research international : the journal for researchers and clinicians in physical therapy · 2026
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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

11 authors.

Alexandra N ThompsonRehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-9539-6620
Deirdre R DawsonRehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-7517-6121
Jean Michelle Legasto-MulvaleRehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-0311-0227
Nivetha ChandranRehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0009-0000-6151-7087
Chelsea TanchipRehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-7054-3209
Veronika NiemczykSchool of Rehabilitation Science, Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada.ORCID 0009-0003-4244-1322
Jillian RashkovanDepartment of Occupational Science and Occupational Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0009-0006-0423-7613
Saisa JeyakumarDepartment of Occupational Science and Occupational Therapy, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0009-0000-4451-6429
Rosalie H WangRehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-7777-9989
Jill I CameronRehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0003-4161-1572
Emily NalderRehabilitation Sciences Institute, Temerty Faculty of Medicine, University of Toronto, Toronto, ON, Canada.ORCID 0000-0001-9612-9420

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is growing interest in enhancing stroke self-management support using mobile health (mHealth) technology (eg, smartphones and apps). Despite this growing interest, "self-management support" is inconsistently defined and applied in the poststroke mHealth intervention literature, which limits efforts to synthesize and compare evidence. To address this gap in conceptual clarity, a scoping review was conducted.

objectiveThe objectives were to (1) identify and describe the types of poststroke mHealth interventions evaluated using a randomized controlled trial design, (2) determine whether (and how) such interventions align with well-accepted conceptualizations of self-management support (the theory by Lorig and Holman and the Practical Reviews in Self-Management Support [PRISMS] taxonomy by Pearce and colleagues), and (3) identify the mHealth functions that facilitate self-management.

methodsA scoping review was conducted according to the methodology by Arksey and O'Malley and Levac et al. In total, 7 databases were searched. Article screening and data extraction were performed by 2 reviewers. The data were analyzed using descriptive statistics and content analysis.

resultsA total of 29 studies (26 interventions) were included. The interventions addressed 7 focal areas (physical exercise, risk factor management, linguistic exercise, activities of daily living training, medication adherence, stroke education, and weight management), 5 types of mobile devices (mobile phones or smartphones, tablets, wearable sensors, wireless monitoring devices, and laptops), and 7 mHealth functions (educating, communicating, goal setting, monitoring, providing feedback, reminding, and motivating). Collectively, the interventions aligned well with the concept of self-management support. However, on an individual basis (per intervention), the alignment was less strong.

conclusionsOn the basis of the results, it is recommended that future research on poststroke mHealth interventions be more theoretically driven, more multidisciplinary, and larger in scale.

Indexed as

Cell PhoneSelf-ManagementActivities of Daily LivingBiomedical TechnologyComputers, HandheldHumansRandomized Controlled Trials as Topicchronic diseasedigital healtheHealthmHealthmobile healthmobile phonerehabilitationself-managementstroketelehealthtelemedicine

Identifiers

PMID38055318
PMCPMC10733834

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.