Reuter Katja, Ukpolo Francis, Ward Edward, Wilson Melissa L, Angyan Praveen
Southern California Clinical and Translational Science Institute, Keck School of Medicine of USC, University of Southern California, Los Angeles, CA, United States.
J Med Internet Res. 2016 Jun 29;18(6):e144. doi: 10.2196/jmir.4726.
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.
关于临床研究,尤其是临床试验的信息匮乏,是潜在参与者不参与临床研究的主要原因之一。另一方面,没有志愿者,临床研究以及预防、诊断和治疗疾病新方法的开发就无法进行。诸如社交媒体等有前景的数字手段有可能与传统方法协同作用,以促进临床研究的推广。然而,研究人员和研究机构在利用这些创新手段的同时,还要节省时间和资源,面临着挑战。
开发并测试一种基于网络的工具的效率,该工具能自动生成并分发关于临床试验的用户友好型社交媒体信息。
试验推广器(Trial Promoter)采用Ruby on Rails、HTML、层叠样式表(CSS)和JavaScript开发。为了测试该工具以及所生成信息的正确性,将46项临床试验随机分为社交媒体信息,并通过微博社交媒体平台推特(Twitter)和社交网络脸书(Facebook)进行分发。计算正确百分比,以确定试验推广器生成准确信息的概率。
在为期10周的测试阶段,试验推广器在推特和脸书上自动生成并发布了525条用户友好型社交媒体信息。试验推广器平均有97.7%的时间(1563/1600)正确使用信息模板并替换信息参数(文本、网址和疾病主题标签)。
试验推广器可能是一种很有前景的工具,能在资源有限的情况下提高临床试验推广的效率。它支持分发任何研究或其他类型的内容。试验推广器的代码和安装说明可在网上免费获取。