From c6cdd97d798964dcf75a1335449a308d254f0d64 Mon Sep 17 00:00:00 2001 From: Eirini Zormpa Date: Thu, 17 Aug 2023 16:46:18 +0100 Subject: [PATCH 1/2] Update README.md Added a more detailed description of the contents of the repository. --- README.md | 29 ++++++++++++++++++++++++++++- 1 file changed, 28 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index b21e881..ef15387 100644 --- a/README.md +++ b/README.md @@ -1 +1,28 @@ -# phenotypes \ No newline at end of file +# About +This repository contains code lists created using the DExtER Code Builder tool, developed at the University of Birmingham. +Code Builder allows you to search for medical codes and drug codes across different medical databases such as SnomedCT, Read codes and HES simultaneously and export the results. Here you can find code lists for app. 150 medical conditions and app. 75 medications. + +## Data dictionary +Each of the medical conditions and medications is in a separate folder (named for the medical condition or drug) and each of the folders contain CSV files for each of the databases that were searched, e.g. CPRD AURUM, CPRD GOLD, IMRD. + +Below you can see an explanation for each of the columns of the CSV files, separately for the drug and medical condition lists. + +### Drug codes + +| Column name | Description | +| ----------------------- | ----------- | +| `DRUG_CODE_ID` | The actual term stored in the drug database. This might be a number, a short string, or a hexadecimal value. | +| `DESCRIPTION` | The text description of the drug code. This will also include (where available) the drug substance, strength, route of administration etc. | +| `BNF1`, `BNF2`, `BNF3` | The BNF codes from this pseudo-classification are used in the prescribing dataset as a unique identifier to show what was prescribed. These BNF codes can tell you a lot about a drug or appliance. [Read more about BNF codes.](https://digital.nhs.uk/data-and-information/areas-of-interest/prescribing/practice-level-prescribing-in-england-a-summary/practice-level-prescribing-glossary-of-terms)| +| `ATC` | This stands for the "Anatomical Therapeutic Chemical Classification System", a drug classification system that classifies the active ingredients of drugs according to the organ or system on which they act and their therapeutic, pharmacological, and chemical properties. [Read more about ATC codes.](https://www.whocc.no/atc_ddd_index/)| +| `DATABASE` | The database queried. | + +### Medical condition codes + +| Column name | Description | +| ----------------- | ----------- | +| `MEDICAL_CODE_ID` | The actual term stored in the medical database. This might be a number, a short string, or a hexadecimal value. | +| `DESCRIPTION` | This is the text description of the medical code. | +| `READ_CODE` | Read Codes are a coded thesaurus of clinical terms that have been used in the NHS since 1985. They provide a standard vocabulary for clinicians to record patient findings and procedures, in health and social care IT systems across primary and secondary care. [Read more about Read Codes](https://digital.nhs.uk/services/terminology-and-classifications/read-codes). | +| `SNOMED_CT_CODE` | SNOMED CT is a structured clinical vocabulary for use in electronic health records. It is the most comprehensive and precise clinical health terminology product in the world. [Read more about SNOMED CT](https://digital.nhs.uk/services/terminology-and-classifications/snomed-ct). | +| `DATABASE` | The database queried. | From 55b809286f723905ad6b218cc8f808290f4eb305 Mon Sep 17 00:00:00 2001 From: Eirini Zormpa Date: Thu, 17 Aug 2023 16:58:04 +0100 Subject: [PATCH 2/2] Create README.md create README for the drug list folder with information on who created each list --- Drug Codes/README.md | 8 ++++++++ 1 file changed, 8 insertions(+) create mode 100644 Drug Codes/README.md diff --git a/Drug Codes/README.md b/Drug Codes/README.md new file mode 100644 index 0000000..c08e502 --- /dev/null +++ b/Drug Codes/README.md @@ -0,0 +1,8 @@ + # About + This folder contains all drug codes. + Each of the folders, in addition to the CSV files for each database, also contains a checklist with information on: + - who created the list + - when the list was created + - what drug names were used in the search to create the list. + +To make it easier to give attribution to the people that created each list, you can see who created which list and which institution they are affiliated with in [this spreadsheet](https://docs.google.com/spreadsheets/d/1CodUwAkaCI86A5OCcUM4UECyZ-k2Lr5RLsp-e6wE1WI/edit?usp=sharing).