Trial Promoter: A Web-Based Tool for Boosting the Promotion of Clinical Research Through Social Media

A healthcare social media research article published in Journal of Medical Internet Research, December 31, 2015

Title
Trial Promoter: A Web-Based Tool for Boosting the Promotion of Clinical Research Through Social Media
Authors (alpha)
Edward Ward, Francis Ukpolo, Katja Reuter, Melissa L Wilson, Praveen Angyan
Published
December 31, 2015
Journal
Journal of Medical Internet Research
Impact Factor
5.835
DOI
10.2196/jmir.4726
Pubmed
27357424
Altmetric
A healthcare social media research article published in Journal of Medical Internet Research, December 31, 2015

Abstract

Scarce information about clinical research, in particular clinical trials, is among the top reasons why potential participants do not take part in clinical studies. Without volunteers, on the other hand, clinical research and the development of novel approaches to preventing, diagnosing, and treating disease are impossible. Promising digital options such as social media have the potential to work alongside traditional methods to boost the promotion of clinical research. However, investigators and research institutions are challenged to leverage these innovations while saving time and resources. To develop and test the efficiency of a Web-based tool that automates the generation and distribution of user-friendly social media messages about clinical trials. Trial Promoter is developed in Ruby on Rails, HTML, cascading style sheet (CSS), and JavaScript. In order to test the tool and the correctness of the generated messages, clinical trials (n=46) were randomized into social media messages and distributed via the microblogging social media platform Twitter and the social network Facebook. The percent correct was calculated to determine the probability with which Trial Promoter generates accurate messages. During a 10-week testing phase, Trial Promoter automatically generated and published 525 user-friendly social media messages on Twitter and Facebook. On average, Trial Promoter correctly used the message templates and substituted the message parameters (text, URLs, and disease hashtags) 97.7% of the time (1563/1600). Trial Promoter may serve as a promising tool to render clinical trial promotion more efficient while requiring limited resources. It supports the distribution of any research or other types of content. The Trial Promoter code and installation instructions are freely available online.


Symplur Signals for Academic Research

Symplur Signals provides researchers with a simple research interface, rich datasets, powerful filtering, and algorithms with natural language processing capabilities optimized for our context of healthcare. Get access to up to 7 years of history from this trusted academic research platform.

Subscribe Now

Healthcare Social Media Research

See the full list of healthcare social media research articles with data from or reference to Symplur.
#hcsmR is a collaboration between Stanford Medicine X and Symplur.


Altmetric

The Altmetric Attention Score is based on the attention a research article gets on the internet. Each coloured thread in the circle represents a different type of online attention and the number in the centre is the Altmetric Attention Score. The score is calculated based on two main sources of online attention: social media and mainstream news media.