NHS Tayside and Fife Accident & Emergency Dataset (PHS/National)

  • Author Collaboration Health Informatics Centre (Creator)
  • Author Collaboration Public Health Scotland (Creator)
  • Author Collaboration NHS Tayside (NHS Tayside) (Creator)
  • Author Collaboration NHS Fife (NHS Fife) (Creator)
  • Christian Cole (Other)
  • Emily Jefferson (Other)
  • Jenny Johnston (Other)

Dataset

Description

Abstract
Accident and Emergency Statistics. There are two types: episode and aggregate level data.

Documentation
Accident and Emergency Statistics. The A&E datamart was established in June 2007 to monitor the compliance of each NHS Board against the 4 hour wait standard. In July 2010 the A&E data mart was extended further to collect items such as diagnosis, several injury fields and an alcohol involved flag, which will be used to identify whether the patient’s alcohol consumption was a factor in the attendance. The collection of the new fields has been driven by a variety of SG policy decisions and interest from a number of organisations. Although there is now the facility to submit these additional fields, they are still under development and PHS are working with the NHS Boards to support data collection and quality. There are two types of data submitted to the A&E datamart: episode and aggregate level data. All hospitals with Emergency Departments submit episode level data containing a detailed record for each patient attendance. Some smaller sites with minor injury units or community hospitals only submit aggregate files containing monthly summary attendance and compliance figures only. This is because they do not have the information systems and support to enable collection of detailed patient based information. Sites that submit episode level data account for around 94% of all attendances at A&E.

Contact [email protected] for more information
Date made available24 Sept 2021
PublisherUniversity of Dundee
Geographical coverageUnited Kingdom, Scotland, Tayside Region and Fife
Geospatial point56.46477949221637, -3.038216212959592Show on map

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