Research Day
REDCAP AND RSHINY TOGETHER TO SURVEY AND DELIVER PERSONALIZED FEEDBACK OF A WELL-BEING ASSESSMENT
Document Type
Abstract
Date
2021
Abstract
Background: Finding assessment tools that strengthen engagement and heighten perceptions of relevance are key to successfully delivering wellness initiatives. REDCap (Research Electronic Data Capture) and ShinyR are data tools commonly used independently. ShinyR applications can be written to query a REDCap database in real-time, typically to automate data-pulls. To the best of the authors' knowledge, REDCap and ShinyR have not been used together to pull data in real-time in order to provide participants with an immediate personalized visual representation of their responses.
Objective: The goal of the current study is to examine the functionality of using REDCap and ShinyR to implement a well-being assessment immediately followed by a visual representation of the participant's responses.
Methods: A well-being assessment was developed in REDCap prompting participants to input their personal ratings of importance for each of six dimensions of well-being as well as time allocated to each dimension. Completion of the well-being assessment auto-directs the participant to the ShinyR application URL to view their personal results. Using an application programming interface (API), ShinyR programmatically pulls REDCap responses and performs transformations and computations to the data to provide participants with a visual representation of their personal assessment in real-time. Generated data demonstrate the utility of the well-being assessment and the personalized post-assessment well-being results.
Results: Generated data demonstrate successful functionality of a well-being assessment and post-assessment display of personalized results.
Conclusion: REDCap and ShinyR can be used together for a user-friendly real-time experience that strengthens engagement and heightens perceptions of a wellness initiative.