Diabetes Mellitus
Tim Doran, Evangelos Kontopantelis, Jose M Valderas, Stephen Campbell, Martin Roland, Chris Salisbury, David Reeves
PH419 / 838 Clinical-Coded Phenotype
Overview
Phenotype TypeDisease or syndromeSexBothValid Event Date Range01/01/2000 - 31/12/2007Coding SystemRead codes v2OXMIS codesData SourcesCollectionsClinicalCodes RepositoryPhenotype LibraryTagsNo dataDefinition
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.
Implementation
No dataImplementation
Clinical Code List
PUBLISHED - 432 Codes
PUBLISHED - 33 Codes
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 Example
Tim Doran, Evangelos Kontopantelis, Jose M Valderas, Stephen Campbell, Martin Roland, Chris Salisbury, David Reeves. PH419 / 838 - Diabetes Mellitus. Phenotype Library [Online]. 06 October 2021. Available from: http://phenotypes.healthdatagateway.org/phenotypes/PH419/version/838/detail/. [Accessed 31 October 2024]
API
To Export Phenotype Details:
Format API JSON site_root/api/v1/phenotypes/PH419/version/838/detail/?format=json R Package library(ConceptLibraryClient)
# Connect to API
client = ConceptLibraryClient::Connection$new(public=TRUE)
# Get details of phenotype
phenotype_details = client$phenotypes$get_detail(
'PH419',
version_id=838
)Py Package from pyconceptlibraryclient import Client
# Connect to API
client = Client(public=True)
# Get codelist of phenotype
phenotype_codelist = client.phenotypes.get_detail(
'PH419',
version_id=838
)To Export Phenotype Code List:
Format API JSON site_root/api/v1/phenotypes/PH419/version/838/export/codes/?format=json CSV site_root/phenotypes/PH419/version/838/export/codes/ R Package library(ConceptLibraryClient)
# Connect to API
client = ConceptLibraryClient::Connection$new(public=TRUE)
# Get codelist of phenotype
phenotype_codelist = client$phenotypes$get_codelist(
'PH419',
version_id=838
)Py Package 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
)Version History