General Practice Extraction Service (GPES) Data for Pandemic Planning and Research (GDPPR) Dataset

General Practice Extraction Service (GPES) Data for Pandemic Planning and Research (GDPPR) Dataset#

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TypeError                                 Traceback (most recent call last)
Cell In[1], line 5
      3 sys.path.append(os.path.abspath('../../../../scripts/'))
      4 from data_doc_helper import NHSEDataSet as DS, last_modified
----> 5 ds = DS("GDPPR")
      6 last_modified()

File /opt/build/repo/ukllc_book/docs/scripts/data_doc_helper.py:1048, in NHSEDataSet.__init__(self, dataset)
   1046 # define std input variables
   1047 self.dataset = dataset
-> 1048 self.df_ds = get_nhse_ds(self.dataset)
   1049 self.doi = ds_doi(self.df_ds.iloc[0]["table"])
   1050 self.ed = get_ed(self.dataset)

File /opt/build/repo/ukllc_book/docs/scripts/data_doc_helper.py:879, in NHSEDataSet.__init__.<locals>.get_nhse_ds(x)
    869 """Returns DF of dataset info/metrics
    870 
    871 Args:
   (...)    875     DF: dataframe of dataset info/metrics
    876 """
    878 ds = md.get_md_api_dss()
--> 879 df_ds = ds[(ds["source"] == "NHSE") & (ds["table"] == x)]
    880 df_ds["source_table"] = df_ds["source"] + "_" + df_ds["table"]
    881 # ss = md.get_md_api_ss()[["source", "Owner"]]
    882 # df_ds = df_ds.merge(ss, on="source")

TypeError: string indices must be integers, not 'str'
Primary care data for patients registered at GPs in England that contribute to the GDPPR dataset.
More information about this dataset is available here.

1. Summary#

Data are collected about patients at General Practices in England that have opted into contributing to the GDPPR dataset and whose health record contains coded information relevant to pandemic planning and research. Data collected include demographic information, diagnoses and findings, medications and other prescribed items, investigations, tests and results, treatments and outcomes, and vaccinations and immunisations.

Dataset Descriptor Dataset-specific Information
Name of Dataset in TRE NHSE_GDPPR
Citation (APA) Data Services, NHS England (NHSE) . (2024). NHS England: General Practice Extraction Service (GPES) Data for Pandemic Planning and Research. UK Longitudinal Linkage Collaboration (UK LLC). https://doi.org/10.83126/ukllc-dataset-00057-03
Download Citation Citeproc JSON     BibTeX     RIS
Series NHS England
Owner NHS England, Office for National Statistics and Department of Health and Social Care
Temporal Coverage in the TRE 06/2020 - ongoing
Geographical Coverage England
Participant Count 202817
Number of Variables 23
Number of Observations 261104333
Key Link https://digital.nhs.uk/coronavirus/gpes-data-for-pandemic-planning-and-research/guide-for-analysts-and-users-of-the-data
Keywords COVID-19, Primary care, GP records
Latest Extract Date 2024-04-26
Specific Restrictions to Data Use 1. Research must be related to COVID-19. For examples of research purposes acceptable to NHS England see the COVID-19 Public Health Directions 2020: https://digital.nhs.uk/about-nhs-digital/corporate-information-and-documents/directions-and-data-provision-notices/secretary-of-state-directions/covid-19-public-health-directions-2020 2. GDPPR data must not be used for any form of performance management of General Practices.
Build a Data Request https://explore.ukllc.ac.uk/

2. Metrics#

Table 2: Please note, individual cohort counts of less than 10 are suppressed to 0 and are therefore excluded from total participant counts for datasets

3. Version History#

Version Number 1 2 3
Name in TRE NHSE_GDPPR NHSE_GDPPR NHSE_GDPPR
Version Date 21 Dec 2022 13 Apr 2023 26 Apr 2024
Number of Variables 23 23 23
Number of Rows 163918817 201875928 261104333
DOI 10.83126/ukllc-dataset-00057-01 10.83126/ukllc-dataset-00057-02 10.83126/ukllc-dataset-00057-03

4. Documentation#

We are currently building a documentation storage system, which will host relevant and useful documents related to datasets, groupings, and studies themselves. Relevant documentation for this particular dataset will go here.

5. Useful 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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