Evidence map›Paper›PMID 37014677›Full record

ArticleJournal of medical Internet research2023

Patients' Perspectives Regarding Digital Health Technology to Support Self-management and Improve Integrated Stroke Care: Qualitative Interview Study.

Esmee L S Bally, Demi Cheng, Amy van Grieken, Mireia Ferri Sanz, Oscar Zanutto, Aine Carroll, Andrew Darley, Bob Roozenbeek, Diederik W J Dippel, Hein Raat

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  10. How AI-Based Digital Rehabilitation Improves End-User Adherence: Rapid Review.JMIR rehabilitation and assistive technologies · 2025
    Review
  11. Article
  12. Co-Designing a Digital Stroke Prevention Platform: Leveraging Lived Experience and Expert Advice.Health expectations : an international journal of public participation in health care and health policy · 2025
    Article
  13. Article
  14. Supporting Long-Term Meaningful Outcomes in Stroke Rehabilitation.Current neurology and neuroscience reports · 2025
    Review
  15. Article
  16. Article
  17. Co-Creation in the Development of Digital Therapeutics: A Narrative Review.International journal of environmental research and public health · 2024
    Review
  18. Article
  19. Article
  20. Digital health in stroke: a narrative review.Arquivos de neuro-psiquiatria · 2024
    Review
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

10 authors.

Esmee L S BallyDepartment of Public Health, Erasmus MC University Medical Center, Rotterdam, Netherlands.ORCID 0000-0003-0179-7990
Demi ChengDepartment of Public Health, Erasmus MC University Medical Center, Rotterdam, Netherlands.ORCID 0000-0003-2180-8482
Amy van GriekenDepartment of Public Health, Erasmus MC University Medical Center, Rotterdam, Netherlands.ORCID 0000-0001-6767-9159
Mireia Ferri SanzR&D+i Consultancy, Kveloce I+D+i, Valencia, Spain.ORCID 0000-0003-1848-0957
Oscar ZanuttoEuropean Project Office Department, Istituto per Servizi di Ricovero e Assistenza agli Anziani, Treviso, Italy.ORCID 0000-0003-2783-0592
Aine CarrollSchool of Medicine, University College Dublin, Dublin, Ireland.ORCID 0000-0002-4383-8650
Andrew DarleySchool of Medicine, University College Dublin, Dublin, Ireland.ORCID 0000-0002-4256-0044
Bob RoozenbeekDepartment of Neurology, Erasmus MC University Medical Center, Rotterdam, Netherlands.ORCID 0000-0002-8320-8303
Diederik W J DippelDepartment of Neurology, Erasmus MC University Medical Center, Rotterdam, Netherlands.ORCID 0000-0002-9234-3515
Hein RaatDepartment of Public Health, Erasmus MC University Medical Center, Rotterdam, Netherlands.ORCID 0000-0002-6000-7445

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDigital technologies such as mobile apps and robotics have the potential to involve stroke patients better in the care process and to promote self-management. However, barriers exist that constrain the adoption and acceptance of technology in clinical practice. Examples of barriers are privacy concerns, challenges regarding usability, and the perception that there is no need for health-related technology. To address these barriers, co-design can be used to enable patients to reflect on their experiences of a service and to tailor digital technologies to the needs and preferences of end users regarding content and usability.

objectiveThis study aims to explore the perspectives of stroke patients toward how digital health technology could support self-management regarding health and well-being, as well as integrated stroke care.

methodsA qualitative study was conducted to understand patient perspectives. Data were collected in co-design sessions during the ValueCare study. Patients from a Dutch hospital who experienced an ischemic stroke (n=36) within the past 18 months were invited to participate. Data collection took place between December 2020 and April 2021 via one-to-one telephone interviews. A short self-report questionnaire was used to collect data on sociodemographics, disease-specific information, and technology use. All interviews were audio-taped and transcribed verbatim. The interview data were analyzed using a thematic approach.

resultsPatients held mixed attitudes toward digital health technologies. Some patients viewed digital technology as a convenient product or service, while others expressed no desire or need to use technology for self-management or care. Digital features suggested by stroke patients included (1) information about the causes of stroke, medication, prognosis, and follow-up care; (2) an online library with information regarding stroke-related health and care issues; (3) a personal health record by which patients can retrieve and manage their own health information; and (4) online rehabilitation support to empower patients to exercise at home. Regarding the user interface of future digital health technology, patients emphasized the need for easy-to-use and simple designs.

conclusionsStroke patients mentioned credible health information, an online library with stroke-related health and care information, a personal health record, and online rehabilitation support as the main features to include in future digital health technologies. We recommend that developers and designers of digital health for stroke care listen to the "voice of the stroke patients" regarding both functionality and the characteristics of the interface. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.1186/s12877-022-03333-8.

Indexed as

Mobile ApplicationsSelf-ManagementStrokeDigital TechnologyHumansQualitative Researchco-designdigital health technologyqualitative researchself-managementstroke patientsuser-centered designuser-requirements

Identifiers

PMID37014677
PMCPMC10131919

What OpenQuestion holds

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LicenceCC BY
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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.