HES Critical Care (HESCC) Dataset

HES Critical Care (HESCC) Dataset#

# define target dataset to document
schema = 'nhsd'
table = 'HESCC'
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 HESCC
Other name None
Keywords Inpatients, Critical care, NHS hospitals
Short description Dataset of patients admitted for critical care treatment (intensive care or high dependency care) at NHS hospitals in England. A record represents one episode.
Owner NHS England
Geographical coverage England
Temporal coverage 01/04/2008 onwards
TRE temporal coverage 01/04/2008 onwards
Frequency of update Quarterly
Date of last extract None
DOI None
Data resolution Inpatient episode
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 HESCC dataset in the UK LLC TRE.

Table 1 The number of participants from each LPS that are represented in the HESCC 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 83
BCS70 144
BIB 314
ELSA 549
EPICN 992
EXCEED 725
FENLAND 321
GLAD 2288
MCS 449
NCDS58 368
NEXTSTEP 83
NIHRBIO_COPING 715
NSHD46 297
TEDS 80
TRACKC19 236
TWINSUK 686
UKHLS 248
TOTAL 8578

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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