Evidence map›Paper›PMID 37155228›Full record

ArticleJMIR rehabilitation and assistive technologies2023

Expected Health Benefits as the Ultimate Outcome of Information Available on Stroke Engine, a Knowledge Translation Stroke Rehabilitation Website: Web-Based Survey.

Annie Rochette, Aliki Thomas, Nancy M Salbach, Brigitte Vachon, Anita Menon, Lise Poissant, Maurane Boutin, Roland Grad, Pierre Pluye

Open access · goldAbstract read
In one paragraph

Article in JMIR rehabilitation and assistive technologies, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. The scholarly and practice profile of respiratory therapists in Canada: A cross-sectional survey.Canadian journal of respiratory therapy : CJRT = Revue canadienne de la therapie respiratoire : RCTR · 2024
    Article
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

9 authors at 5 institutions in 1 country.

Annie RochetteCentre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0002-0189-0987
Aliki ThomasCentre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0001-9807-6609
Nancy M SalbachDepartment of Physical Therapy, Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-6178-0691
Brigitte VachonSchool of Rehabilitation, Université de Montréal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0003-2899-2120
Anita MenonSchool of Physical and Occupational Therapy, McGill University, Montreal, QC, Canada.ORCID https://orcid.org/0000-0003-0974-6485
Lise PoissantCentre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0002-4925-6352
Maurane BoutinCentre for Interdisciplinary Research in Rehabilitation of Greater Montreal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0001-8829-8566
Roland GradDepartment of Family Medicine, McGill University, Montreal, QC, Canada.ORCID https://orcid.org/0000-0002-1591-613X
Pierre PluyeDepartment of Family Medicine, McGill University, Montreal, QC, Canada.ORCID https://orcid.org/0000-0002-9274-7720
Centre for Interdisciplinary Research in Rehabilitation · CAMcGill University · CAInstitut universitaire en santé mentale de Montréal · CAMcGill University Health Centre · CAUniversity Health Network · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundElectronic knowledge resources are readily available and typically target different audiences, including health professionals and the public, that is, those with lived experience and their relatives. The knowledge-to-action framework, in combination with the information assessment method (IAM), considering both the value-of-information construct and the conceptual model of acquisition-cognition-application, can be used to support the evaluation process of such resources. As an example, Stroke Engine is an evidence-based knowledge translation resource in stroke rehabilitation (assessments and interventions) for health professionals and students as well as individuals who have sustained a stroke and their relatives. According to Google Analytics, the website is perused >10,000 times per week.

objectiveWith the overall aim to improve the content available on Stroke Engine, we documented Stroke Engine users' perceptions of situational relevance, cognitive impact, intention to use, and expected patient and health benefits regarding the information consulted.

methodsA web-based survey anchored in the IAM was made available via an invitation tab. The IAM is a validated questionnaire that is designed to assess the value of information. Sociodemographic characteristics were also collected, and a space for free-text comments was provided. Descriptive statistics were used, and thematic analysis was used for the free-text comments.

resultsThe sample consisted of 6634 respondents. Health professionals (3663/6634, 55.22%) and students (2784/6634, 41.97%) represented 97.18% (6447/6634) of the total responses. The remaining 2.82% (187/6634) of the responses were from individuals who had sustained a stroke (87/6634, 1.31%) and their relatives (100/6634, 1.51%). Regarding situational relevance, assessments (including selecting, obtaining, and interpreting results from a test) was the main topic searched by health professionals (1838/3364, 54.64%) and students (1228/2437, 50.39%), whereas general information on stroke rehabilitation was the top-ranked topic for nearly two-thirds of the individuals with stroke (45/76, 59%) and their relatives (57/91, 63%). Cognitive impact was characterized by learning something new. Intention to use was high (4572/6379, 71.67%) among the respondents and varied in context (eg, refine a topic, research, class assignments, teaching, and education). Respondents commented on ways to improve content. Expected patient and health benefits such as improvement in health and well-being was the top-ranked category for all 4 subgroups, followed by the avoidance of unnecessary or inappropriate treatment for health professionals (183/623, 29.4%) and a feeling of being reassured for individuals with stroke (26/75, 35%) and their relatives (28/97, 29%).

conclusionsValuable feedback on Stroke Engine was obtained in terms of its accessibility, relevance for informational needs and retrieval, accuracy, and applicability; however, of utmost importance is the potential implementation of its evidence-based content in clinical practice and the perceived expected impact on patients, their relatives, and their health professionals. The feedback received allowed for corrections and the identification of key topics for further development.

Indexed as

crowdsourcinghealth-related informationinternetknowledge translationrehabilitationstroke

Identifiers

PMID37155228
PMCPMC10203925
OpenAlexW4361859034

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.