The Potential of R Shiny User Interfaces to Support Health Economic Decision Making
Author(s)
Discussion Leader: Paul Schneider, MD MSc, ScHARR, University of Sheffield, Sheffield, UK
Discussants: Gianluca Baio, PhD, Statistical Science, University College London, London, UK; Rose Hart, PhD, BresMed Health Solutions Ltd., Sheffield, UK; Robert Smith, MSc, ScHARR, University of Sheffield, SHEFFIELD, UK
Presentation Documents
PURPOSE
: To introduce participants to R Shiny user interfaces and demonstrate how they can be used to make health economic decision models more accessible to stakeholders. Sample demo: https://darkpeakanalytics.shinyapps.io/sadm-mk2/DESCRIPTION
: As health economic decision models become more computationally burdensome, the shortcomings of Microsoft Excel are becoming increasingly apparent. As a result, high level programming languages such as R are becoming more popular. The script-based nature of these languages may be perceived as lacking an accessible interface, limiting the extent to which stakeholders, who are not modellers, can engage with economic models. The R package ‘shiny’ provides an attractive solution: it allows the creation of easy-to-use web interfaces, which allow decision makers to directly interact with the decision model. Users can easily input their own assumptions and explore completely new scenarios in real-time. The underlying R code can be submitted alongside the interface to be reviewed and transparently debugged. In the future, R Shiny user interfaces could complement HTA submissions and improve health policy decision making. The workshop will consist of 4 parts:- Introduction to R and Shiny in HTA: current situation and future potential (Gianluca Baio) – 10 mins
- Interactive coding tutorial: building a simple Shiny app for a Markov model in R (Robert Smith) – 30 mins
- Tips for using R Shiny in practice for efficient scalability and multi-team projects (Rose Hart) – 10 mins
- Open questions and discussion – 10 mins
- Interactive R Shiny coding tutorial
- Source code will be provided to all participants
- Audience practice use of pre-deployed apps, demonstrating their utility.
Conference/Value in Health Info
2021-11, ISPOR Europe 2021, Copenhagen, Denmark
Code
207
Topic
Economic Evaluation, Methodological & Statistical Research