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首页> 外文期刊>Contemporary clinical trials >An automated communication system in a contact registry for persons with rare diseases: scalable tools for identifying and recruiting clinical research participants.
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An automated communication system in a contact registry for persons with rare diseases: scalable tools for identifying and recruiting clinical research participants.

机译:联系人注册表中针对罕见病患者的自动通信系统:可扩展的工具,用于识别和招募临床研究参与者。

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OBJECTIVES: Strategies for study recruitment are useful in clinical research network settings. We describe a registry of individuals who have self-identified with one of a multiplicity of rare diseases, and who express a willingness to be contacted regarding possible enrollment in clinical research studies. We evaluate this registry and supporting tools in terms of registry enrollment and impact on participation rates in advertised clinical research studies. METHODS: A web-based automated system generates periodic and customized communications to notify registrants of relevant studies in the NIH Rare Diseases Clinical Research Network (RDCRN). The majority of these communications are sent by email. We compare the characteristics of those enrolled in the registry to the characteristics of participants enrolled in sampled RDCRN studies in order to estimate the impact of the registry on study participation in the network. RESULTS: The registry currently contains over 4000 registrants, representing 40 rarediseases. Estimates of study participation range from 6-27% for all enrollees. Study participation rates for some disease areas are over 40% when considering only contact registry enrollees who live within 100 mi of a clinical research study site. CONCLUSIONS: Automated notifications can facilitate consistent, customized, and timely communication of relevant protocol information to potential research subjects. Our registry and supporting communication tools demonstrate a significant positive impact on study participation rates in our network. The use of the internet and automated notifications make the system scalable to support many protocols and registrants.
机译:目的:研究募集的策略在临床研究网络环境中很有用。我们描述了具有多种罕见疾病之一的自我识别的个人注册表,并表示愿意就临床研究可能的入学联系。我们根据注册表注册以及对广告临床研究中参与率的影响来评估此注册表和支持工具。方法:基于Web的自动化系统生成定期和自定义的通信,以通知注册人NIH罕见病临床研究网络(RDCRN)中的相关研究。这些通信大部分通过电子邮件发送。我们将注册中心的特征与RDCRN样本研究的特征进行比较,以估计注册中心对网络研究参与的影响。结果:该注册表当前包含4000多个注册人,代表40种罕见病。所有参加者的研究参与估计范围为6-27%。当仅考虑居住在临床研究研究站点100英里之内的联系登记注册者时,某些疾病领域的研究参与率超过40%。结论:自动通知可以促进相关协议信息与潜在研究对象的一致,自定义和及时通信。我们的注册表和支持性通讯工具对我们网络中的研究参与率显示出显着的积极影响。互联网的使用和自动通知使系统可扩展以支持许多协议和注册人。

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