[开发 EULAT eCollect 应用程序,用于在欧洲-拉丁美洲消除可预防胆囊癌联盟(EULAT Eradicate GBC)内收集电子数据]。

Justo Lorenzo Bermejo, Carol Barahona Ponce, Alicia Colombo, Gerardo Donoso, Jaime González Díaz, Sergio Guinez-Molinos
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引用次数: 0

摘要

欧洲-拉丁美洲根除可预防胆囊癌联合会(EULAT Eradicate CVB)正在四个胆囊癌高发的拉丁美洲国家收集高质量的数据和样本:阿根廷、玻利维亚、智利和秘鲁。我们的目标是建立一个独特的生物库,并将其与定制的信息学平台整合在一起,鉴定、验证新型 GBC 风险生物标志物并对其进行功能表征,同时开发整合流行病学和遗传分子风险因素的 GBC 预测模型。我们决定开发电子数据收集应用软件EULAT eCollect,以便于从我们招募的15000名拉美人中检索社会人口、临床、生活方式、营养和样本信息。EULAT eCollect 应用程序减少了研究参与者所花费的时间,限制了纸张和墨水的使用,最大程度地降低了填写书面表格和随后将其数字化所带来的成本和错误,并可密切监控当地的招募率和数据质量。我们在本文中介绍了 EULAT eCollect 的设计和实施过程,从明确功能和非功能要求开始,到四个应用模块的实施和后续验证:I 社会人口学访谈、II 样本信息、III 病例报告表和 IV 食物频率问卷。我们介绍了一般结果和技术结果,以及我们使用开放数据工具包软件的经验,这对未来的研究项目,尤其是在中低收入地区开展的个性化癌症预防项目可能会有帮助。
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[Development of the EULAT eCollect application for electronic data collection within the European-Latin American consortium towards eradication of preventable gallbladder cancer - EULAT Eradicate GBC].

The European-Latin American Consortium towards Eradication of Preventable Gallbladder Cancer (GBC) - EULAT Eradicate CVB is collecting high-quality data and samples in four Latin American countries with a high incidence of GBC: Argentina, Bolivia, Chile and Peru. The goal is to build a unique biorepository integrated with a customized informatics platform, identify, validate, and functionally characterize novel GBC risk biomarkers, and develop GBC prediction models integrating epidemiological and genetic-molecular risk factors. We decided to develop the electronic data collection application EULAT eCollect to facilitate the retrieval of socio-demographic, clinical, lifestyle, nutritional, and sample information from the 15,000 Latin Americans we are enrolling. The EULAT eCollect app reduces the time spent by study participants, limits the use of paper and ink, minimizes the costs and errors associated with completing written forms and their subsequent digitization, and allows close monitoring of local recruitment rates and data quality. We describe in this article the design and implementation of EULAT eCollect, which started with the specification of functional and non-functional requirements and ended with the implementation and subsequent validation of the four application modules: I Socio-demographic interview, II Sample information, III Case report form, and IV Food frequency questionnaire. We present both general and technical results and our experience with the Open Data Kit software, which may be of interest for future research projects, especially those on personalized cancer prevention conducted in low- and middle-income regions.

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