Hooley Gwendolyn C, Magana Julia N, Woods Jason M, Sivasankar Shyam, VonHoltz Lauren, Schmidt Anita R, Chang Todd P, Lin Michelle
Children's Hospital Los Angeles, Los Angeles, CA, United States.
University of California, Los Angeles, Los Angeles, CA, United States.
JMIR Form Res. 2025 Jun 24;9:e59481. doi: 10.2196/59481.
Research dissemination is a vital step in bridging the gap between the publication of cutting-edge research and its adoption into clinical practice. Social media platforms like Twitter (rebranded as X) offer promising channels for dissemination, yet research organizations lack clear guidance on establishing a professional social media presence. We present a structured framework based on our research network's multiyear experience developing a Twitter account for research dissemination.
This study aimed to provide a roadmap for organizations aiming to create a professional Twitter account for research dissemination.
This was a mixed methods study analyzing the Pediatric Emergency Care Applied Research Network (PECARN) Twitter team's 4-year experience (2020-2023) with building a social media account. Using the nominal group technique qualitative approach, we recorded insights from the 6 team members' experiences in a round-robin fashion until response saturation. In addition, we analyzed internal Slack (Slack Technologies) communications to identify key developmental events. Together, these were then prioritized by consensus to elucidate key developmental events that enhanced both social media and scientific engagement. This process was informed by quantitative data from Twitter performance metrics and Altmetric Attention Scores for journal publications collected over a 39-month period. Together, these elements informed the design of a logic model framework.
The nominal group technique generated 63 thematic statements which included issues such as organizational structure, content strategy, technologies, analytics, organizational priorities, and challenges. These statements coalesced into the 7 domains (priorities, assumptions, inputs, outputs, outcomes, and external factors) that comprise the logic model. Inputs included organizational support (eg, executive-level champion and funding), specialized personnel (eg, content writer and analytics manager), and operational technologies (eg, communications and data analytics tools). Outputs encompassed targeted activities, such as engaging with other Twitter accounts, publishing high-quality tweets highlighting scholarly work, and developing a dynamic operations manual for the Twitter team. Outcomes were measured through tweet metrics, account analytics, and article-level impact scores.
Our logic model roadmap, based on our practical multiyear experience and data-driven strategies, can serve as a guide for research organizations or medical institutions aiming to incorporate Twitter or other social media platforms for research dissemination.
研究成果传播是弥合前沿研究发表与临床实践应用之间差距的关键一步。像推特（现更名为X）这样的社交媒体平台为传播提供了有前景的渠道，但研究机构在建立专业的社交媒体形象方面缺乏明确的指导。我们基于研究网络多年来为研究成果传播创建推特账号的经验，提出了一个结构化框架。
本研究旨在为有意创建用于研究成果传播的专业推特账号的组织提供一份路线图。
这是一项混合方法研究，分析了儿科急诊护理应用研究网络（PECARN）推特团队在2020年至2023年期间创建社交媒体账号的4年经验。我们采用名义小组技术定性方法，以循环方式记录6名团队成员的经验见解，直至达到反应饱和。此外，我们分析了内部Slack（Slack Technologies）通信，以确定关键发展事件。然后，通过共识对这些事件进行优先级排序，以阐明增强社交媒体和科学参与度的关键发展事件。这一过程参考了39个月期间收集的推特绩效指标定量数据以及期刊出版物的Altmetric关注度得分。这些要素共同为逻辑模型框架的设计提供了依据。
名义小组技术产生了63条主题陈述，包括组织结构、内容策略、技术、分析、组织优先级和挑战等问题。这些陈述合并为构成逻辑模型的7个领域（优先级、假设、输入、输出、结果和外部因素）。输入包括组织支持（如高层支持者和资金）、专业人员（如内容撰写人员和分析经理）以及运营技术（如通信和数据分析工具）。输出包括有针对性的活动，如与其他推特账号互动、发布突出学术工作的高质量推文以及为推特团队制定动态操作手册。结果通过推文指标、账号分析和文章层面的影响力得分来衡量。
我们基于多年实践经验和数据驱动策略的逻辑模型路线图，可为有意将推特或其他社交媒体平台用于研究成果传播的研究机构或医疗机构提供指导。
