Evidence map›Paper›PMID 28815142›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2017

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

Shiqiang Tao, Ningzhou Zeng, Xi Wu, Xiaojin Li, Wei Zhu, Licong Cui, G Q Zhang

Abstract read
In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Shiqiang TaoInstitute of Biomedical Informatics, University of Kentucky, Lexington, KY.
Ningzhou ZengDepartment for Computer Science, University of Kentucky, Lexington, KY.
Xi WuDepartment for Computer Science, University of Kentucky, Lexington, KY.
Xiaojin LiDepartment of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH.
Wei ZhuDepartment of Electrical Engineering and Computer Science, Case Western Reserve University, Cleveland, OH.
Licong CuiInstitute of Biomedical Informatics, University of Kentucky, Lexington, KY.
G Q ZhangInstitute of Biomedical Informatics, University of Kentucky, Lexington, KY.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Identifiers

PMID28815142
PMCPMC5543388

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.