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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
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author Tao, Shiqiang
Zeng, Ningzhou
Wu, Xi
Li, Xiaojin
Zhu, Wei
Cui, Licong
Zhang, GQ
author_facet Tao, Shiqiang
Zeng, Ningzhou
Wu, Xi
Li, Xiaojin
Zhu, Wei
Cui, Licong
Zhang, GQ
author_sort Tao, Shiqiang
collection PubMed
description 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.
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spelling pubmed-55433882017-08-16 A Data Capture Framework for Large-scale Interventional Studies with Survey Workflow Management Tao, Shiqiang Zeng, Ningzhou Wu, Xi Li, Xiaojin Zhu, Wei Cui, Licong Zhang, GQ AMIA Jt Summits Transl Sci Proc Articles 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. American Medical Informatics Association 2017-07-26 /pmc/articles/PMC5543388/ /pubmed/28815142 Text en ©2017 AMIA - All rights reserved. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose
spellingShingle Articles
Tao, Shiqiang
Zeng, Ningzhou
Wu, Xi
Li, Xiaojin
Zhu, Wei
Cui, Licong
Zhang, GQ
A Data Capture Framework for Large-scale Interventional Studies with Survey Workflow Management
title A Data Capture Framework for Large-scale Interventional Studies with Survey Workflow Management
title_full A Data Capture Framework for Large-scale Interventional Studies with Survey Workflow Management
title_fullStr A Data Capture Framework for Large-scale Interventional Studies with Survey Workflow Management
title_full_unstemmed A Data Capture Framework for Large-scale Interventional Studies with Survey Workflow Management
title_short A Data Capture Framework for Large-scale Interventional Studies with Survey Workflow Management
title_sort data capture framework for large-scale interventional studies with survey workflow management
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543388/
https://www.ncbi.nlm.nih.gov/pubmed/28815142
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