PrAnaViz is a web-browser based R/Shiny tool developed by the Environmental Chemistry and Public Health Group at the University of Bath.
PrAnaViz facilitates users to visualize, explore and report different spatio-temporal and long-term prescription trends of different Active Pharmaceutical Ingredients (APIs) in prescription medications for human use in the UK for wider use. This tool helps to understand the general practice level and postcode level variation of an API. This tool uses the processed dataset generated by the R package, PrAna for the period 2015 to 2018.
PrAna aims to aggregate and normalize England’s national level prescription data, for all groups of drugs. The name is an acronym for Prescription Analysis.
Demo App available in the menu is a prototype tool for demonstration purpose and has the dataset for the years 2015 to 2018 limited to Bath and North East Somerset Clinical Commissioning Group (CCG) region
Citation
Please cite the following article,
| Kishore Kumar Jagadeesan, James Grant, Sue Griffin, Ruth Barden, Barbara Kasprzyk-Hordern, PrAna: An R package to calculate and visualize England NHS primary care prescribing data”,BMC Medical Informatics and Decision Making 22, 5 (2022). |
Code and contributions
The code that runs this site is available under the MIT License at https://github.com/PrAnaViz/PrAna. We welcome contributions and issues.
Data sources
- Prescribing data and Practice information are from the monthly files published by the NHS Business Service Authority, used under the terms of the Open Government License.
- BNF codes and names are also from the NHS Business Service Authority’s Information Portal, used under the terms of the Open Government License.
- dm+d weekly release data is also from the NHS Business Service Authority’s Information Portal, used under the terms of the Open Government License. CCG to practice relations, and practice prescribing settings, are from NHS Digital’s data downloads (epraccur.csv), used under the terms of the Open Government License.
- CCG names and codes and CCG geographic boundaries are from the Office for National Statistics, used under the terms of the Open Government License.
Acknowledgments
PrAnaViz and PrAna package were built as a part of the Wastewater Fingerprinting for Public Health Assessment (ENTRUST) project funded by University of Bath, Wessex Water and EPSRC IAA (grant no. EP/R51164X/1).
Feedback
We welcome all feedback, if there are additional features you would like to see added to this site, or you have any feedback, or bug reports, please tell us. If you have access to funding, and would like to collaborate: get in touch
Disclaimer
We accept no liability for any errors in the data or its publication here: use this data at your own risk. You should not use this data to make individual prescribing decisions.