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The influence of social media on recruitment to surgical trials

BACKGROUND: Social media has changed the way surgeons communicate worldwide, particularly in dissemination of trial results. However, it is unclear if social media could be used in recruitment to surgical trials. This study aimed to investigate the influence of Twitter in promoting surgical recruitm...

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Autores principales: Bisset, Carly Nichola, Carter, Ben, Law, Jennifer, Hewitt, Jonathan, Parmar, Kat, Moug, Susan Joan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388470/
https://www.ncbi.nlm.nih.gov/pubmed/32723388
http://dx.doi.org/10.1186/s12874-020-01072-1
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author Bisset, Carly Nichola
Carter, Ben
Law, Jennifer
Hewitt, Jonathan
Parmar, Kat
Moug, Susan Joan
author_facet Bisset, Carly Nichola
Carter, Ben
Law, Jennifer
Hewitt, Jonathan
Parmar, Kat
Moug, Susan Joan
author_sort Bisset, Carly Nichola
collection PubMed
description BACKGROUND: Social media has changed the way surgeons communicate worldwide, particularly in dissemination of trial results. However, it is unclear if social media could be used in recruitment to surgical trials. This study aimed to investigate the influence of Twitter in promoting surgical recruitment in The Emergency Laparotomy and Frailty (ELF) Study. METHODS: The ELF Study was a UK-based, prospective, observational cohort that aimed to assess the influence of frailty on 90-day mortality in older adults undergoing emergency surgery. A power calculation required 500 patients to be recruited to detect a 10% change in mortality associated with frailty. A 12-week recruitment period was selected, calculated from information submitted by participating hospitals and the numbers of emergency surgeries performed in adults aged > 65 years. A Twitter handle was designed (@ELFStudy) with eye-catching logos to encourage enrolment and inform the public and clinicians involved in the study. Twitter Analytics and Twitonomy (Digonomy Pty Ltd) were used to analyse user engagement in relation to patient recruitment. RESULTS: After 90 days of data collection, 49 sites from Scotland, England and Wales recruited 952 consecutive patients undergoing emergency laparotomy, with data logged into a database created on REDCap. Target recruitment (n = 500) was achieved by week 11. A total of 591 tweets were published by @ELFStudy since its conception, making 218,136 impressions at time of writing. The number of impressions (number of times users see a particular tweet) prior to March 20th 2017 (study commencement date) was 23,335 (343.2 per tweet), compared to the recruitment period with 114,314 impressions (256.3 per tweet), ending June 20th 2017. Each additional tweet was associated with an increase in recruitment of 1.66 (95%CI 1.36 to 1.97; p < 0.001). CONCLUSION: The ELF Study over-recruited by nearly 100%, reaching over 200,000 people across the U.K. Branding enhanced tweet aesthetics and helped increase tweet engagement to stimulate discussion and healthy competition amongst clinicians to aid trial recruitment. Other studies may draw from the social media experiences of the ELF Study to optimise collaboration amongst researchers. TRIAL REGISTRATION: This study is registered online at www.clinicaltrials.gov (registration number NCT02952430) and has been approved by the National Health Service Research Ethics Committee.
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spelling pubmed-73884702020-07-31 The influence of social media on recruitment to surgical trials Bisset, Carly Nichola Carter, Ben Law, Jennifer Hewitt, Jonathan Parmar, Kat Moug, Susan Joan BMC Med Res Methodol Research Article BACKGROUND: Social media has changed the way surgeons communicate worldwide, particularly in dissemination of trial results. However, it is unclear if social media could be used in recruitment to surgical trials. This study aimed to investigate the influence of Twitter in promoting surgical recruitment in The Emergency Laparotomy and Frailty (ELF) Study. METHODS: The ELF Study was a UK-based, prospective, observational cohort that aimed to assess the influence of frailty on 90-day mortality in older adults undergoing emergency surgery. A power calculation required 500 patients to be recruited to detect a 10% change in mortality associated with frailty. A 12-week recruitment period was selected, calculated from information submitted by participating hospitals and the numbers of emergency surgeries performed in adults aged > 65 years. A Twitter handle was designed (@ELFStudy) with eye-catching logos to encourage enrolment and inform the public and clinicians involved in the study. Twitter Analytics and Twitonomy (Digonomy Pty Ltd) were used to analyse user engagement in relation to patient recruitment. RESULTS: After 90 days of data collection, 49 sites from Scotland, England and Wales recruited 952 consecutive patients undergoing emergency laparotomy, with data logged into a database created on REDCap. Target recruitment (n = 500) was achieved by week 11. A total of 591 tweets were published by @ELFStudy since its conception, making 218,136 impressions at time of writing. The number of impressions (number of times users see a particular tweet) prior to March 20th 2017 (study commencement date) was 23,335 (343.2 per tweet), compared to the recruitment period with 114,314 impressions (256.3 per tweet), ending June 20th 2017. Each additional tweet was associated with an increase in recruitment of 1.66 (95%CI 1.36 to 1.97; p < 0.001). CONCLUSION: The ELF Study over-recruited by nearly 100%, reaching over 200,000 people across the U.K. Branding enhanced tweet aesthetics and helped increase tweet engagement to stimulate discussion and healthy competition amongst clinicians to aid trial recruitment. Other studies may draw from the social media experiences of the ELF Study to optimise collaboration amongst researchers. TRIAL REGISTRATION: This study is registered online at www.clinicaltrials.gov (registration number NCT02952430) and has been approved by the National Health Service Research Ethics Committee. BioMed Central 2020-07-28 /pmc/articles/PMC7388470/ /pubmed/32723388 http://dx.doi.org/10.1186/s12874-020-01072-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Bisset, Carly Nichola
Carter, Ben
Law, Jennifer
Hewitt, Jonathan
Parmar, Kat
Moug, Susan Joan
The influence of social media on recruitment to surgical trials
title The influence of social media on recruitment to surgical trials
title_full The influence of social media on recruitment to surgical trials
title_fullStr The influence of social media on recruitment to surgical trials
title_full_unstemmed The influence of social media on recruitment to surgical trials
title_short The influence of social media on recruitment to surgical trials
title_sort influence of social media on recruitment to surgical trials
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388470/
https://www.ncbi.nlm.nih.gov/pubmed/32723388
http://dx.doi.org/10.1186/s12874-020-01072-1
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