Diabetes Mellitus

Tim Doran, Evangelos Kontopantelis, Jose M Valderas, Stephen Campbell, Martin Roland, Chris Salisbury, David Reeves

PH419 / 838 Clinical-Coded Phenotype

  1. Overview

    Phenotype Type
    Disease or syndrome
    Sex
    Both
    Valid Event Date Range
    01/01/2000 - 31/12/2007
    Coding System
    Read codes v2OXMIS codes
    Data Sources
    CPRD GOLD
    Collections
    ClinicalCodes RepositoryPhenotype Library
    Tags
    No data

  2. Definition

    Patient level data were extracted from the General Practice Research Database (GPRD), which contains anonymised, patient based data on morbidity, prescribing, treatment, and referral collected from over 500 general practices, covering about 7% of the UK population (4.4 million patients).14 Data are in Read code format—a hierarchical system used to code clinical data. Additional data on prescriptions and test results are available as free-text entries. We selected a sample of 148 practices that provided data to the GPRD continuously between January 2000 and December 2007, structured to include a range of list (patient panel) sizes. Selected practices were nationally representative in terms of patient sex and age distribution and area socioeconomic deprivation but had a relatively large average list size, reflecting a bias towards larger practices in the GPRD. Overall, the selected practices performed marginally better than national practices on the clinical indicators in the Quality and Outcomes Framework. A random selection of 4500 patients registered for at least one day between 1 January 2000 and 31 December 2007 was drawn from each practice. For practices with fewer than 4501 patients, all patients were selected. The final sample consisted of 653 500 patients. Patients with relevant conditions were identified from their diagnostic Read codes. Patients for whom targets were met were identified from the relevant Read codes and free-text terms.

  3. Implementation

    Implementation

    No data

  4. Clinical Code List

  5. Publication

    • Tim Doran, Evangelos Kontopantelis, Jose M Valderas, Stephen Campbell, Martin Roland, Chris Salisbury, David Reeves, Effect of financial incentives on incentivised and non-incentivised clinical activities: longitudinal analysis of data from the UK Quality and Outcomes Framework. BMJ, 342:d3590, 2011.

    Citation Requirements

    No data

  6. API

    To Export Phenotype Details:

    FormatAPI
    JSON site_root/api/v1/phenotypes/PH419/version/838/detail/?format=json
    R Package

    # Download here

    library(ConceptLibraryClient)


    # Connect to API

    client = ConceptLibraryClient::Connection$new(public=TRUE)


    # Get details of phenotype

    phenotype_details = client$phenotypes$get_detail(
     'PH419',
     version_id=838
    )

    Py Package

    # Download here

    from pyconceptlibraryclient import Client


    # Connect to API

    client = Client(public=True)


    # Get codelist of phenotype

    phenotype_codelist = client.phenotypes.get_detail(
     'PH419',
     version_id=838
    )

    To Export Phenotype Code List:

    FormatAPI
    JSON site_root/api/v1/phenotypes/PH419/version/838/export/codes/?format=json
    CSV site_root/phenotypes/PH419/version/838/export/codes/
    R Package

    # Download here

    library(ConceptLibraryClient)


    # Connect to API

    client = ConceptLibraryClient::Connection$new(public=TRUE)


    # Get codelist of phenotype

    phenotype_codelist = client$phenotypes$get_codelist(
     'PH419',
     version_id=838
    )

    Py Package

    # Download here

    from pyconceptlibraryclient import Client


    # Connect to API

    client = Client(public=True)


    # Get codelist of phenotype

    phenotype_codelist = client.phenotypes.get_codelist(
     'PH419',
     version_id=838
    )

  7. Version History

    Version IDNameOwnerPublish date
    838 Diabetes Mellitus ieuan.scanlon2021-10-06currently shown