Evidence map›Paper›PMID 33937175›Full record

ArticleFrontiers in public health2021

Understanding the Methodological Issues and Solutions in the Research Design of Stroke Caregiving Technology.

Elton H Lobo, Anne Frølich, Lene J Rasmussen, Patricia M Livingston, John Grundy, Mohamed Abdelrazek, Finn Kensing

Abstract read
In one paragraph

Article in Frontiers in public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

7 authors.

Elton H LoboSchool of Information Technology, Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, VIC, Australia.
Anne FrølichSection of General Practice, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Lene J RasmussenDepartment of Cellular and Molecular Medicine, University of Copenhagen, Copenhagen, Denmark.
Patricia M LivingstonFaculty of Health, Deakin University, Geelong, VIC, Australia.
John GrundyFaculty of Information Technology, Monash University, Clayton, VIC, Australia.
Mohamed AbdelrazekSchool of Information Technology, Faculty of Science, Engineering and Built Environment, Deakin University, Geelong, VIC, Australia.
Finn KensingDepartment of Computer Science, University of Copenhagen, Copenhagen, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rise in the number of cases of stroke has resulted in a significant burden on the healthcare system. As a result, the majority of care for the person living with stroke occurs within the community, resulting in caregivers being a central and challenged agent in care. To better support caregivers during the recovery trajectory poststroke, we investigated the role of health technologies to promote education and offer various kinds of support. However, the introduction of any new technology comes with challenges due to the growing need for more user-centric systems. The integration of user-centric systems in stroke caregiving has the potential to ensure long-term acceptance, success, and engagement with the technology, thereby ensuring better care for the person living with stroke. We first briefly characterize the affordances of available technologies for stroke caregiving. We then discuss key methodological issues related to the acceptance to such technologies. Finally, we suggest user-centered design strategies for mitigating such challenges.

Indexed as

StrokeStroke RehabilitationCaregiversHumansResearch DesignTechnologycaregiverdesign methodologyissuessolutionsstroketechnologyuser-centered design

Identifiers

PMID33937175
PMCPMC8085388

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LicenceCC BY
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Registered trials

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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.