NHS Tayside and Fife Accident & Emergency Dataset (PHS/National)
Data and Resources
Additional Info
| Field | Value |
|---|---|
| Contact point | hicsupport@dundee.ac.uk |
| Dataset privacy | Maximally Restricted |
| Dataset access requirements | |
| Landing Page | https://web.www.healthdatagateway.org/dataset/23d790f2-de80-4c7a-b57a-03c8467c54e9 |
| Creator | |
| Tags | hic,tayside,fife,scotland |
| Publisher | Local NHS boards |
| Geographical coverage | {"United Kingdom,Scotland,Tayside Region","United Kingdom,Scotland,Fife"} |
| Start of time period covered by this dataset | 2007-01-06 |
| End of time period covered by this dataset | |
| Theme / Category | |
| Access rights | https://researchdata.scot/researcher-support-consultancy-services |
| Conforms To | |
| 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. |
| Publishing frequency | MONTHLY |
| Language | {en} |
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