Warning
This repository is in active development and contents of this repository MUST NOT be considered an accurate or valid representation of the study or its purpose. This repository may reflect an incomplete or incorrect analysis with no further ongoing work. The content has ONLY been made public to support the OpenSAFELY open science and transparency principles and to support the sharing of re-usable code for other subsequent users. No clinical, policy or safety conclusions must be drawn from the contents of this repository.
This repo is codebase for the approved OpenSAFELY project #181: Examining changes in ADHD diagnosis and pathways in primary care pre and post COVID pandemic.
Work is carried out by the NHS England Data Science Team
Detail description of the project can be found on our protocol
Each query is logged in OpenSAFELY Jobs
This repo aims to be at Baseline level RAP
Email: [email protected]
The repo can be run on dummy data using GitHub Codespaces
The metadata of clinical codes used in this study are followed:
- Attention Deficit Hyperactivity Disorder codes
- Attention Deficit Hyperactivity Disorder in remission codes
- Attention Deficit Hyperactivity Disorder Medication
The repo contains the following supporting documentation found in docs
The project is performed under the OpenSAFELY COVID-19 Service thus may be subject to a legal hold from the Transformation Directorate
The work is backup automatically every 24 hours to NHS England previously NHS Digital’s GitHub organization.
Unless stated otherwise, the codebase is released under the MIT License.
Any HTML or Markdown documentation is © Crown copyright and available under the terms of the Open Government 3.0 licence.
This repository is partly maintained by the NHS England Data Science Team.
See our other work on the NHS England Data Science website.
The OpenSAFELY framework is a secure analytics platform for electronic health records research in the NHS.
Instead of requesting access for slices of patient data and transporting them elsewhere for analysis, the framework supports developing analytics against dummy data, and then running against the real data within the same infrastructure that the data is stored. Read more at OpenSAFELY.org.
