Respiratory Comorbidities
Romi Haas, Ljoudmila Busija, Alexandra Gorelik, Denise A O'Connor, Christopher Pierce, Danielle Mazza, Rochelle Buchbinder
PH853 / 1785 Clinical-Coded Phenotype
Overview
Phenotype TypeDisease or syndromeSexBothValid Event Date Range01/01/2014 - 31/12/2018Coding SystemSNOMED CT codesData SourcesPOpulation Level Analysis and Reporting (POLAR) Database AustraliaCollectionsClinicalCodes RepositoryPhenotype LibraryTagsNo dataDefinition
Introduction:
General practice is integral to the Australian healthcare system. Outcome Health’s POpulation Level Analysis and Reporting (POLAR) database uses de-identified electronic health records to analyse general practice data in Australia. Previous studies using routinely collected health data for research have not consistently reported the codes and algorithms used to describe the population, exposures, interventions and outcomes in sufficient detail to allow replication. This paper reports a study protocol investigating patterns of care for people presenting with musculoskeletal conditions to general practice in Victoria, Australia. Its focus is on the systematic approach used to classify and select eligible records from the POLAR database to facilitate replication. This will be useful for other researchers using routinely collected health data for research.
Methods and analysis:
This is a retrospective cohort study. Patient-related data will be obtained through electronic health records from a subset of general practices across three primary health networks (PHN) in southeastern Victoria. Data for patients with a low back, neck, shoulder and/or knee condition and who received at least one general practitioner (GP) face-to-face consultation between 1 January 2014 and 31 December 2018 will be included. Data quality checks will be conducted to exclude patients with poor data recording and/or non-continuous follow-up. Relational data files with eligible and valid records will be merged to select the study cohort and the GP care received (consultations, imaging requests, prescriptions and referrals) between diagnosis and 31 December 2018. Number and characteristics of patients and GPs, and number, type and timing of imaging requests, prescriptions for pain relief and referrals to other health providers will be investigated.
Ethics and dissemination:
Ethics approval was obtained from the Cabrini and Monash University Human Research Ethics Committees (Reference Numbers 02-21-01-19 and 16975, respectively). Study findings will be reported to Outcome Health, participating PHNs, disseminated in academic journals and presented in conferences.
Implementation
Implementation
Clinical Code List
PUBLISHED - 3 Codes
Publication
Romi Haas, Ljoudmila Busija, Alexandra Gorelik, Denise A O'Connor, Christopher Pierce, Danielle Mazza, Rochelle Buchbinder, Patterns of care for people presenting to Australian general practice with musculoskeletal complaints based on routinely collected data: protocol for an observational cohort study using the Population Level Analysis and Reporting (POLAR) database. BMJ Open, 11(e055528), 2021.
Citation Example
Romi Haas, Ljoudmila Busija, Alexandra Gorelik, Denise A O'Connor, Christopher Pierce, Danielle Mazza, Rochelle Buchbinder. PH853 / 1785 - Respiratory Comorbidities. Phenotype Library [Online]. 04 April 2022. Available from: http://phenotypes.healthdatagateway.org/phenotypes/PH853/version/1785/detail/. [Accessed 02 December 2024]
API
To Export Phenotype Details:
Format API JSON site_root/api/v1/phenotypes/PH853/version/1785/detail/?format=json R Package library(ConceptLibraryClient)
# Connect to API
client = ConceptLibraryClient::Connection$new(public=TRUE)
# Get details of phenotype
phenotype_details = client$phenotypes$get_detail(
'PH853',
version_id=1785
)Py Package from pyconceptlibraryclient import Client
# Connect to API
client = Client(public=True)
# Get codelist of phenotype
phenotype_codelist = client.phenotypes.get_detail(
'PH853',
version_id=1785
)To Export Phenotype Code List:
Format API JSON site_root/api/v1/phenotypes/PH853/version/1785/export/codes/?format=json CSV site_root/phenotypes/PH853/version/1785/export/codes/ R Package library(ConceptLibraryClient)
# Connect to API
client = ConceptLibraryClient::Connection$new(public=TRUE)
# Get codelist of phenotype
phenotype_codelist = client$phenotypes$get_codelist(
'PH853',
version_id=1785
)Py Package from pyconceptlibraryclient import Client
# Connect to API
client = Client(public=True)
# Get codelist of phenotype
phenotype_codelist = client.phenotypes.get_codelist(
'PH853',
version_id=1785
)Version History