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A Data Capture Framework for Large-scale Interventional Studies with Survey Workflow Management

Capturing high-quality survey data is an arduous process for large-scale and extensive interventional studies. This paper presents the architecture, interface design, and an innovative form generation engine of a system called RE- Form: Refactorized Electronic Web Forms. REForm provides researchers...

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Detalles Bibliográficos
Autores principales: Tao, Shiqiang, Zeng, Ningzhou, Wu, Xi, Li, Xiaojin, Zhu, Wei, Cui, Licong, Zhang, GQ
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543388/
https://www.ncbi.nlm.nih.gov/pubmed/28815142
Descripción
Sumario:Capturing high-quality survey data is an arduous process for large-scale and extensive interventional studies. This paper presents the architecture, interface design, and an innovative form generation engine of a system called RE- Form: Refactorized Electronic Web Forms. REForm provides researchers the capability to design and manage surveys and the flexibility to organize them in a customizable workflow. REForm has been designed, implemented, pilot-tested and deployed for an NCI-funded interventional study IMPACT. It enables IMPACT to design and conduct a baseline survey of 95 questions with 662 options, a post-intervention survey of 82 questions with 574 options, six Ecological Momentary Assessment (EMA) surveys including four questions and 26 options each, and a follow-up survey con- taining 15 questions and 125 options. Feedback designed in the post-intervention survey showed that more than 94 percent of IMPACT participants highly endorsed the design and usability of the surveys created using REForm.