Health Behavior Change Interventions Using Biological Feedback

An interactive visualization was developed using data from a scoping review on biological feedback as a behavior change technique for adults in randomized clinical trials. The visualization is designed to allow users to isolate and extract studies most relevant to their field of interest.

Link to Interactive Visualization

The visualization was made through the University of Arizona Communications and Cyber Technologies (CCT) Data Science Incubator Program. Please contact Dr. Susan Schembre, PhD, RD at ss4731@georgetown.edu if you have questions or comments.

Protocol: https://www.researchprotocols.org/2022/1/e32579

Collaboration Guidelines

This project uses renv for package managment. When opening this repo as an RStudio Project for the first time, renv should automatically install itself and prompt you to run renv::restore() to install all package dependencies.

To contribute to this project, please create a new branch for your changes and make a pull request. One easy way to do this from within R is with the usethis package and the pr_* functions. pr_init("branch-name") begins a new branch locally, pr_push() helps you create a new pull request, and after it is merged you can use pr_finish() to clean things up. More about this workflow here.

How it works

• The csv file output by DistillerSR is in the data_raw folder.
• An R script in the R folder has code to wrangle those data and save the result as articles_clean.csv in the app folder. If the raw data changes, this script will need to be re-run manually!
• The Shiny app code is in app/app.R and is made of two parts---a UI, which defines the look of the app and what inputs and outputs are shown, and a server that handles the data and plotting.
• The packages needed to wrangle the data and run the Shiny app are kept track of by the renv package. If you add new packages or update packages, you can run renv::snapshot() to record this. .Rprofile, renv.lock, and the renv folder are all needed for renv to work and should not be edited manually.
• When changes are made to the app through a GitHub pull request, it triggers a GitHub action to run automatically to deploy the Shiny app to viz.datascience.arizona.edu. This action is defined in .github/workflows/deploy-to-connect.yaml and probably never needs to be edited.