HES Accident & Emergency (HESAE) Dataset

HES Accident & Emergency (HESAE) Dataset#

# define target dataset to document
schema = 'nhsd'
table = 'HESAE'
version = 'v0003'
# import functions from script helper
import sys
script_fp = "../../../../scripts/"
sys.path.insert(0, script_fp)
from data_doc_helper import DocHelper
# create instance
document = DocHelper(schema, table, version, script_fp)
# markdown/code hybrid cell module requirement
from IPython.display import display, Markdown

1. Summary#

display(document.style_table(document.get_dataset_info()))
Dataset descriptor Dataset-specific information
Name of dataset in TRE HESAE
Other name None
Keywords A&E patients, NHS hospitals
Short description Dataset of patients attending Accident and Emergency Departments (including minor injury units and walk-in centres) in England. A record represents one attendance.
Owner NHS England
Geographical coverage England
Temporal coverage 01/04/2007 to 31/03/2020
TRE temporal coverage 01/04/2007 to 31/03/2020
Frequency of update Annually
Date of last extract None
DOI None
Data resolution A&E attendance
Number of variables None
Number of participants None
Number of observations None
Version None
Key link https://digital.nhs.uk/data-and-information/data-tools-and-services/data-services/hospital-episode-statistics
Specific restrictions to data use None

2. Metrics#

The tables below summarise the HESAE dataset in the UK LLC TRE.

Table 1 The number of participants from each LPS that are represented in the HESAE dataset in the UK LLC TRE
(Note: numbers relate to the most recent extract of NHS England data)

display(document.style_table(document.get_cohort_count()))
LPS Participant count
ALSPAC 4970
BCS70 4438
BIB 23568
ELSA 5665
EPICN 11054
EXCEED 7086
FENLAND 7608
GLAD 57439
MCS 14908
NCDS58 4914
NEXTSTEP 4539
NIHRBIO_COPING 12494
NSHD46 2168
TEDS 6373
TRACKC19 9325
TWINSUK 10286
UKHLS 5159
TOTAL 191994

3. Helpful syntax#

Below we will include syntax that may be helpful to other researchers in the UK LLC TRE. For longer scripts, we will include a snippet of the code plus a link to Git where you can find the full script.

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