Evidence map›Paper›PMID 40502278›Full record

ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2025

Building Patient-Facing Technology: A REDCap-Based Approach.

Yuheng Shi, Eric Yang, Katie Gahn, Heidi Mason, Yun Jiang, Yang Gong

Abstract read
PubMed Full text at PMC
In one paragraph

Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

6 authors.

Yuheng ShiMcWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States.
Eric YangMcWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States.
Katie GahnSchool of Nursing, University of Michigan, Ann Arbor, MI, United States.
Heidi MasonSchool of Nursing, University of Michigan, Ann Arbor, MI, United States.
Yun JiangMcWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States.
Yang GongMcWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States.

Funding

AHRQ HHS R01 HS027846
6 · The paper itself

Abstract

This work describes the architecture design of a patient-facing technology (PFT) based on the Research Electronic Data Capture (REDCap) platform and other tools to support cancer patients in self-tracking and managing medication concerns and symptoms during transitions of care. The design is guided by the Chronic Care Model (CCM) and User-Centered Design (UCD) principles for a personalized application to inform, engage, and empower patients. We describe the evolutional details of four major versions, which represent milestones of our PFT, highlighting how specific objectives were achieved and the barriers encountered. Additionally, patient representatives were involved in the evaluation of prototypes, and potential improvements to the application of the REDCap platform were discussed. REDCap has demonstrated great potential to serve beyond its traditional role as a survey distribution and management tool. This work is intended to provide developers with insights into future PFT architecture development and sustainable research strategies.

Identifiers

PMID40502278
PMCPMC12150733

What OpenQuestion holds

Textmetadata
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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.