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PrAna:一个用于计算和可视化英格兰 NHS 初级保健处方数据的 R 包。

PrAna: an R package to calculate and visualize England NHS primary care prescribing data.

机构信息

Department of Chemistry, University of Bath, Bath, UK.

Digital, Data and Technology Group, University of Bath, Bath, UK.

出版信息

BMC Med Inform Decis Mak. 2022 Jan 6;22(1):5. doi: 10.1186/s12911-021-01727-z.

Abstract

BACKGROUND

The objective of this work to calculate prescribed quantity of an active pharmaceutical ingredient (API) in prescription medications for human use, to facilitate research on the prediction of amount of API released to the environment and create an open-data tool to facilitate spatiotemporal and long-term prescription trends for wider usage.

DESIGN

We have developed an R package, PrAna to calculate the prescribed quantity (in kg) of an APIs by postcode using England's national level prescription data provided by National Health Service, for the years 2015-2018. Datasets generated using PrAna can be visualized in a real-time interactive web-based tool, PrAnaViz to explore spatiotemporal and long-term trends. The visualisations can be customised by selecting month, year, API, and region.

RESULTS

PrAnaViz's targeted API approach is demonstrated with the visualisation of prescribed quantities of 14 APIs in the Bath and North East Somerset (BANES) region during 2018. Once the APIs list is loaded, the back end retrieves relevant data and populates the graphs based on user-defined data features in real-time. These plots include the prescribed quantity of APIs over a year, by month, and individual API by month, general practice, postcode, and medicinal form. The non-targeted API approach is demonstrated with the visualisation of clarithromycin prescribed quantities at different postcodes in the BANES region.

CONCLUSION

PrAna and PrAnaViz enables the analysis of spatio-temporal and long-term trends with prescribed quantities of different APIs by postcode. This can be used as a support tool for policymakers, academics and researchers in public healthcare, and environmental scientist to monitor different group of pharmaceuticals emitted to the environment and for prospective risk assessment of pharmaceuticals in the environment.

摘要

背景

本研究旨在计算处方药物中活性药物成分(API)的规定用量,以促进对环境中 API 释放量预测的研究,并创建一个开放数据工具,以方便更广泛地使用处方的时空和长期趋势。

设计

我们开发了一个 R 包 PrAna,该包使用英格兰国民健康服务(NHS)提供的全国处方数据,按邮政编码计算 2015-2018 年 API 的规定用量(以公斤计)。使用 PrAna 生成的数据集可以在实时交互式网络工具 PrAnaViz 中进行可视化,以探索时空和长期趋势。可以通过选择月份、年份、API 和区域来定制可视化。

结果

PrAnaViz 的靶向 API 方法通过在 2018 年巴斯和东北萨默塞特(BANES)地区可视化 14 种 API 的规定用量得到展示。一旦加载了 API 列表,后端将实时检索相关数据,并根据用户定义的数据特征填充图形。这些图包括一年中 API 的规定用量、按月、按单个 API 按月、全科医生、邮政编码和药物剂型。非靶向 API 方法通过在 BANES 地区不同邮政编码处可视化克拉霉素的规定用量得到展示。

结论

PrAna 和 PrAnaViz 可以按邮政编码分析不同 API 的时空和长期趋势及其规定用量。这可以作为政策制定者、公共卫生领域的学术界和研究人员以及环境科学家的支持工具,用于监测环境中释放的不同药物组,并对环境中的药物进行前瞻性风险评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/43e8/8734375/8f66c7e40c5c/12911_2021_1727_Fig1_HTML.jpg

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