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Gepubliceerd in: Quality of Life Research 11/2021

09-09-2020 | Special Section: Feedback Tools

Utilizing open-source platforms to build and deploy interactive patient-reported quality of life tracking tools for monitoring protocol adherence

Auteurs: Michael A. Golafshar, Molly Petersen, Carlos E. Vargas, N. Jewel Samadder, Katie L. Kunze, Nicole McCormick, Shelby A. Watkin, Diana Maleyeva, Tiffany W. Cheng, Manuel Vargas, Todd A. DeWees

Gepubliceerd in: Quality of Life Research | Uitgave 11/2021

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Abstract

Purpose

Tracking patient-reported outcomes (PROs) and quality-of-life response rates is essential for clinical trials. Historically, rates are monitored through scheduled reports, which can require gathering, merging, and cleaning data from multiple databases. At the end of this process, if gaps are found, new data are entered and the cycle repeats, leaving a trail of reports that are not up-to-date or immediately accessible to the investigator. The financial and person-hour cost of utilizing clinical research staff for this purpose is impractical. Online dashboards are continuously updated to monitor data, providing on-demand access to promote successful research.

Methods

Dashboard implementation utilizes R, an open-source statistical programming language, RMarkdown, a markup language, Flexdashboard, which creates structural elements, and Shiny, allowing investigators the ability to interact with data within the dashboard. By leveraging these four elements, powerful, cost-effective interactive dashboards can be built.

Results

Numerous dashboards have been utilized to identify potentially missing data and increase protocol adherence. Immediate patient consultation can occur to retrieve protocol-related forms, reducing research staff and patient burden while improving trial effectiveness. Dashboards can monitor PROs, enrollment, demographics, toxicity, and biomarker data, clinical outcomes, and implemented predictive models, creating a single hub for on-demand clinical trial monitoring.

Conclusion

By employing a set of freely available tools, the burden of utilizing study staff to continuously monitor trials is greatly reduced. These tools allow users to rapidly build and deploy dynamic dashboards capable of meeting the research needs of any investigator while limiting missing data through simplified monitoring of protocol adherence.
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Metagegevens
Titel
Utilizing open-source platforms to build and deploy interactive patient-reported quality of life tracking tools for monitoring protocol adherence
Auteurs
Michael A. Golafshar
Molly Petersen
Carlos E. Vargas
N. Jewel Samadder
Katie L. Kunze
Nicole McCormick
Shelby A. Watkin
Diana Maleyeva
Tiffany W. Cheng
Manuel Vargas
Todd A. DeWees
Publicatiedatum
09-09-2020
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 11/2021
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-020-02617-z

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