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

BACKGROUND: Electronic 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...

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Autores principales: Rochette, Annie, Thomas, Aliki, Salbach, Nancy M, Vachon, Brigitte, Menon, Anita, Poissant, Lise, Boutin, Maurane, Grad, Roland, Pluye, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203925/
https://www.ncbi.nlm.nih.gov/pubmed/37155228
http://dx.doi.org/10.2196/44715
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author Rochette, Annie
Thomas, Aliki
Salbach, Nancy M
Vachon, Brigitte
Menon, Anita
Poissant, Lise
Boutin, Maurane
Grad, Roland
Pluye, Pierre
author_facet Rochette, Annie
Thomas, Aliki
Salbach, Nancy M
Vachon, Brigitte
Menon, Anita
Poissant, Lise
Boutin, Maurane
Grad, Roland
Pluye, Pierre
author_sort Rochette, Annie
collection PubMed
description BACKGROUND: Electronic 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. OBJECTIVE: With 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. METHODS: A 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. RESULTS: The 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%). CONCLUSIONS: Valuable 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.
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spelling pubmed-102039252023-05-24 Expected Health Benefits as the Ultimate Outcome of Information Available on Stroke Engine, a Knowledge Translation Stroke Rehabilitation Website: Web-Based Survey Rochette, Annie Thomas, Aliki Salbach, Nancy M Vachon, Brigitte Menon, Anita Poissant, Lise Boutin, Maurane Grad, Roland Pluye, Pierre JMIR Rehabil Assist Technol Original Paper BACKGROUND: Electronic 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. OBJECTIVE: With 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. METHODS: A 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. RESULTS: The 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%). CONCLUSIONS: Valuable 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. JMIR Publications 2023-05-08 /pmc/articles/PMC10203925/ /pubmed/37155228 http://dx.doi.org/10.2196/44715 Text en ©Annie Rochette, Aliki Thomas, Nancy M Salbach, Brigitte Vachon, Anita Menon, Lise Poissant, Maurane Boutin, Roland Grad, Pierre Pluye. Originally published in JMIR Rehabilitation and Assistive Technology (https://rehab.jmir.org), 08.05.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Rehabilitation and Assistive Technology, is properly cited. The complete bibliographic information, a link to the original publication on https://rehab.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Rochette, Annie
Thomas, Aliki
Salbach, Nancy M
Vachon, Brigitte
Menon, Anita
Poissant, Lise
Boutin, Maurane
Grad, Roland
Pluye, Pierre
Expected Health Benefits as the Ultimate Outcome of Information Available on Stroke Engine, a Knowledge Translation Stroke Rehabilitation Website: Web-Based Survey
title Expected Health Benefits as the Ultimate Outcome of Information Available on Stroke Engine, a Knowledge Translation Stroke Rehabilitation Website: Web-Based Survey
title_full Expected Health Benefits as the Ultimate Outcome of Information Available on Stroke Engine, a Knowledge Translation Stroke Rehabilitation Website: Web-Based Survey
title_fullStr Expected Health Benefits as the Ultimate Outcome of Information Available on Stroke Engine, a Knowledge Translation Stroke Rehabilitation Website: Web-Based Survey
title_full_unstemmed Expected Health Benefits as the Ultimate Outcome of Information Available on Stroke Engine, a Knowledge Translation Stroke Rehabilitation Website: Web-Based Survey
title_short Expected Health Benefits as the Ultimate Outcome of Information Available on Stroke Engine, a Knowledge Translation Stroke Rehabilitation Website: Web-Based Survey
title_sort expected health benefits as the ultimate outcome of information available on stroke engine, a knowledge translation stroke rehabilitation website: web-based survey
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203925/
https://www.ncbi.nlm.nih.gov/pubmed/37155228
http://dx.doi.org/10.2196/44715
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