Evidence map›Paper›PMID 41789604›Full record

ArticleClinical rehabilitation2026

Self-directed and caregiver-assisted technology-based interventions in inpatient stroke rehabilitation: A scoping review.

Dina Pogrebnoy, Jennifer Ra Jones, Shahad Alsawaf, Lourdes Joseph, Pak Yin Lau, Kelly J Bower

Abstract readScoping Review
In one paragraph

Article in Clinical rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Dina PogrebnoyDepartment of Physiotherapy, Western Health, St Albans, VIC, Australia.ORCID 0000-0002-0687-4062
Jennifer Ra JonesDepartment of Physiotherapy, The University of Melbourne, Parkville, Australia.
Shahad AlsawafDepartment of Physiotherapy, The University of Melbourne, Parkville, Australia.
Lourdes JosephDepartment of Physiotherapy, The University of Melbourne, Parkville, Australia.
Pak Yin LauDepartment of Physiotherapy, Western Health, St Albans, VIC, Australia.
Kelly J BowerDepartment of Physiotherapy, The University of Melbourne, Parkville, Australia.ORCID 0000-0001-8857-222X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

ObjectiveTechnology-based interventions may enhance self-directed or caregiver-assisted activity during inpatient stroke rehabilitation, yet effective implementation strategies for technology-based tools remain unclear. This scoping review synthesises existing evidence on acceptability, feasibility and effectiveness of technology-based interventions in inpatient stroke rehabilitation, and maps barriers and enablers to implementation through the Capability, Opportunity, Motivation and Behaviour model.Data sourcesComprehensive searches of MEDLINE, Embase, CINAHL and Google Scholar were conducted through to December 2025.Review methodsStudies involving adult stroke survivors using self-directed technology-based interventions during inpatient rehabilitation were included. Arksey and O'Malley's scoping review framework guided data extraction. Analysis focused on acceptability, feasibility, effectiveness and behaviour change strategies.ResultsEighteen high-moderate quality studies (20 papers) from 13 countries, involving 1081 participants, were included (10 pilot randomised controlled trials, 6 feasibility studies, 1 non-randomised and 1 observational study). Interventions were upper limb exergaming or robotics devices (

Indexed as

CaregiversExercise TherapySelf CareStroke RehabilitationHumansInpatientsRoboticsStrokedigitalrehabilitationreviewStroketechnology-based interventions

Identifiers

PMID41789604
PMCPMC13620255

What OpenQuestion holds

Textmetadata
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.