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Public feedback on a proposed statewide virtual translational research community

INTRODUCTION: Researchers have explored using the internet and social media to recruit participants to specific research projects. Less systematic work has been done to inform the engagement of large populations in virtual communities to advance clinical and translational science. We report on our f...

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Autores principales: Eder, Milton (Mickey), Patten, Christi A., Brockman, Tabetha A., Hendricks, Deborah, Valdez-Soto, Miguel, Zavala-Rocha, Maria, Amelang, Miriam, Wi, Chung, Major-Elechi, Brittny, Balls-Berry, Joyce (Joy) E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7681157/
https://www.ncbi.nlm.nih.gov/pubmed/33244430
http://dx.doi.org/10.1017/cts.2019.417
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author Eder, Milton (Mickey)
Patten, Christi A.
Brockman, Tabetha A.
Hendricks, Deborah
Valdez-Soto, Miguel
Zavala-Rocha, Maria
Amelang, Miriam
Wi, Chung
Major-Elechi, Brittny
Balls-Berry, Joyce (Joy) E.
author_facet Eder, Milton (Mickey)
Patten, Christi A.
Brockman, Tabetha A.
Hendricks, Deborah
Valdez-Soto, Miguel
Zavala-Rocha, Maria
Amelang, Miriam
Wi, Chung
Major-Elechi, Brittny
Balls-Berry, Joyce (Joy) E.
author_sort Eder, Milton (Mickey)
collection PubMed
description INTRODUCTION: Researchers have explored using the internet and social media to recruit participants to specific research projects. Less systematic work has been done to inform the engagement of large populations in virtual communities to advance clinical and translational science. We report on our first step to use social media to engage Minnesota residents by studying the willingness of participants to engage in a virtual (Facebook) community about the concepts of health and health-related research. METHODS: Data were collected at the 2018 Minnesota State Fair using a cross-sectional, 46-item survey with assessment including sociodemographics and willingness to engage in a Facebook group for health-related research. Quantitative analysis included univariate, bivariate, and multivariate analyses. Content analysis was used to generate themes from open-ended survey responses. RESULTS: Five hundred people completed the survey; after data cleaning, 418 participant responses informed this report. A majority were younger than age 50 (73%), female (66%), and married/partnered (54%). Overall, 46% of participants agreed/strongly agreed they are willing to join the Facebook group. Multivariate logistic regression identified social media use over the past 6 months as the sole variable independently associated with willingness to join the Facebook group (once a day vs. never or rarely OR = 1.82 (0.86, 3.88), several hours a day vs. never or rarely OR = 2.17 (1.17, 4.02, overall p-value 0.048). CONCLUSION: Facebook holds potential for reaching a broader community, democratizing access to and engagement with clinical and translational research. Social media infrastructure and content could be disseminated to other institutions with Clinical and Translational Science Awards.
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spelling pubmed-76811572020-11-25 Public feedback on a proposed statewide virtual translational research community Eder, Milton (Mickey) Patten, Christi A. Brockman, Tabetha A. Hendricks, Deborah Valdez-Soto, Miguel Zavala-Rocha, Maria Amelang, Miriam Wi, Chung Major-Elechi, Brittny Balls-Berry, Joyce (Joy) E. J Clin Transl Sci Research Article INTRODUCTION: Researchers have explored using the internet and social media to recruit participants to specific research projects. Less systematic work has been done to inform the engagement of large populations in virtual communities to advance clinical and translational science. We report on our first step to use social media to engage Minnesota residents by studying the willingness of participants to engage in a virtual (Facebook) community about the concepts of health and health-related research. METHODS: Data were collected at the 2018 Minnesota State Fair using a cross-sectional, 46-item survey with assessment including sociodemographics and willingness to engage in a Facebook group for health-related research. Quantitative analysis included univariate, bivariate, and multivariate analyses. Content analysis was used to generate themes from open-ended survey responses. RESULTS: Five hundred people completed the survey; after data cleaning, 418 participant responses informed this report. A majority were younger than age 50 (73%), female (66%), and married/partnered (54%). Overall, 46% of participants agreed/strongly agreed they are willing to join the Facebook group. Multivariate logistic regression identified social media use over the past 6 months as the sole variable independently associated with willingness to join the Facebook group (once a day vs. never or rarely OR = 1.82 (0.86, 3.88), several hours a day vs. never or rarely OR = 2.17 (1.17, 4.02, overall p-value 0.048). CONCLUSION: Facebook holds potential for reaching a broader community, democratizing access to and engagement with clinical and translational research. Social media infrastructure and content could be disseminated to other institutions with Clinical and Translational Science Awards. Cambridge University Press 2019-09-12 /pmc/articles/PMC7681157/ /pubmed/33244430 http://dx.doi.org/10.1017/cts.2019.417 Text en © The Association for Clinical and Translational Science 2019 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Eder, Milton (Mickey)
Patten, Christi A.
Brockman, Tabetha A.
Hendricks, Deborah
Valdez-Soto, Miguel
Zavala-Rocha, Maria
Amelang, Miriam
Wi, Chung
Major-Elechi, Brittny
Balls-Berry, Joyce (Joy) E.
Public feedback on a proposed statewide virtual translational research community
title Public feedback on a proposed statewide virtual translational research community
title_full Public feedback on a proposed statewide virtual translational research community
title_fullStr Public feedback on a proposed statewide virtual translational research community
title_full_unstemmed Public feedback on a proposed statewide virtual translational research community
title_short Public feedback on a proposed statewide virtual translational research community
title_sort public feedback on a proposed statewide virtual translational research community
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7681157/
https://www.ncbi.nlm.nih.gov/pubmed/33244430
http://dx.doi.org/10.1017/cts.2019.417
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