Evidence map›Paper›PMID 30654899›Full record

SynthesisInternational journal of medical informatics2019

Home-based technologies for stroke rehabilitation: A systematic review.

Yu Chen, Kingsley Travis Abel, John T Janecek, Yunan Chen, Kai Zheng, Steven C Cramer

3 registry-linked trialsAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in International journal of medical informatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 126 papers, 12 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
126citing papers in PubMed, 12 pooled it
–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.

NCT04477252 nacompletednot on this mapstarted 2020, after this paper: background citation

Mobile App as a Guide to Lumbopelvic Stability Exercises in Patients With Chronic Stroke: a Pilot Study of a Randomized Clinical Trial

TypeinterventionalSponsorClínica de NeurorehabilitaciónRan2020 to 2021Enrolled30ConditionsTelerehabilitation, Stroke Sequelae, Therapeutic Adherence and Compliance, Mobile Phone UseArmsApp-core, Conventional physiotherapy
NCT05369533 phase1 / phase2completednot on this mapstarted 2022, after this paper: background citation

Dopaminergic Enhancement of Rehabilitation Therapy Early After Stroke

TypeinterventionalSponsorUniversity of California, Los AngelesRan2022 to 2024Enrolled25ConditionsStrokeArmsTelerehabilitation, Sinemet Pill, Placebo
NCT06887231 narecruitingnot on this mapstarted 2025, after this paper: background citation

Virtual Reality (VR) Platform and Transcutaneous Electrical Nerve Stimulation (TENS) for Early Stroke Rehabilitation

TypeinterventionalSponsorMedical University of ViennaRan2025 to 2027Enrolled35ConditionsStrokeArmsVR+TENS, Conventional rehabilitation
3 · Its place in the literature

Who cites it

126 citing papers in PubMed, 12 syntheses or guidelines pooled it.

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  12. The Unmet Needs of Community-Dwelling Stroke Survivors: A Systematic Review of Qualitative Studies.International journal of environmental research and public health · 2021
    Pooled it
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  15. Perceptions and Experiences of a Multimodal Rehabilitation Program for People With Post-Acute COVID-19: A Qualitative Study.Health expectations : an international journal of public participation in health care and health policy · 2025
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66 more citing papers are in PubMed but not listed here.

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.

Yu ChenSchool of Information Systems and Technology, San Jose State University, United States. Electronic address: yu.chen@sjsu.edu.
Kingsley Travis AbelDepartment of Informatics, University of California, Irvine, United States.
John T JanecekDepartment of Computer Science, University of California, Irvine, United States.
Yunan ChenDepartment of Informatics, University of California, Irvine, United States.
Kai ZhengDepartment of Informatics, University of California, Irvine, United States.
Steven C CramerDepartment of Neurology, University of California, Irvine, United States.

Funding

Brain plasticity and rehabilitation after strokeK24HD074722 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI CRAMER, STEVEN C. · 2013 to 2017
$588k
NICHD NIH HHS K24 HD074722
6 · The paper itself

Abstract

backgroundMany forms of home-based technology targeting stroke rehabilitation have been devised, and a number of human factors are important to their application, suggesting the need to examine this information in a comprehensive review.

objectiveThe systematic review aims to synthesize the current knowledge of technologies and human factors in home-based technologies for stroke rehabilitation.

methodsWe conducted a systematic literature search in three electronic databases (IEEE, ACM, PubMed), including secondary citations from the literature search. We included articles that used technological means to help stroke patients conduct rehabilitation at home, reported empirical studies that evaluated the technologies with patients in the home environment, and were published in English. Three authors independently conducted the content analysis of searched articles using a list of interactively defined factors.

resultsThe search yielded 832 potentially relevant articles, leading to 31 articles that were included for in-depth analysis. The types of technology of reviewed articles included games, telerehabilitation, robotic devices, virtual reality devices, sensors, and tablets. We present the merits and limitations of each type of technology. We then derive two main human factors in designing home-based technologies for stroke rehabilitation: designing for engagement (including external and internal motivation) and designing for the home environment (including understanding the social context, practical challenges, and technical proficiency).

conclusionThis systematic review presents an overview of key technologies and human factors for designing home-based technologies for stroke rehabilitation.

Indexed as

Biomedical TechnologyHome Care ServicesHumansStrokeStroke RehabilitationEvaluationHome-basedStroke rehabilitationSystematic reviewTechnologies

Identifiers

PMID30654899
PMCPMC6814146

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.