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Depression Anxiety Comorbidities

Romi Haas, Ljoudmila Busija, Alexandra Gorelik, Denise A O'Connor, Christopher Pierce, Danielle Mazza, Rochelle Buchbinder

Type
Disease or Syndrome
ID
PH843
Version ID
1765
Data Sources
POpulation Level Analysis and Reporting (POLAR) Database Australia
Valid event data range
01/01/2014 - 31/12/2018
Sex
Female, Male
Agreement Date
2021-09-24
Coding system
SNOMED CT codes
Tags /Collections
ClinicalCodes Repository Phenotype Library

Definition

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.

Publications

  • 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.

Clinical Code List

Rows: 16
Code Description Entity type Coding System (SNOMED) Category
191616006 Recurrent depression res174: depression anxiety comorbidities SNOMED diagnostic
191708009 Chronic anxiety res174: depression anxiety comorbidities SNOMED diagnostic
192080009 Chronic Depression res174: depression anxiety comorbidities SNOMED diagnostic
197480006 Anxiety disorder res174: depression anxiety comorbidities SNOMED diagnostic
207363009 Anxiety neurosis res174: depression anxiety comorbidities SNOMED diagnostic
21897009 Generalised anxiety disorder res174: depression anxiety comorbidities SNOMED diagnostic
231504006 Mixed anxiety and depressive disorder res174: depression anxiety comorbidities SNOMED diagnostic
300706003 Endogenous depression res174: depression anxiety comorbidities SNOMED diagnostic
310497006 Severe depression res174: depression anxiety comorbidities SNOMED diagnostic
35489007 Depression res174: depression anxiety comorbidities SNOMED diagnostic
370143000 Major depressive disorder res174: depression anxiety comorbidities SNOMED diagnostic
47372000 Adjustment disorder with anxious mood res174: depression anxiety comorbidities SNOMED diagnostic
48694002 Anxiety res174: depression anxiety comorbidities SNOMED diagnostic
57194009 Adjustment disorder with depressed mood res174: depression anxiety comorbidities SNOMED diagnostic
73867007 Severe major depression with psychotic features res174: depression anxiety comorbidities SNOMED diagnostic
83458005 Agitated depression res174: depression anxiety comorbidities SNOMED diagnostic

API

To Export Phenotype Details:

Format API
XML site_root/api/v1/public/phenotypes/PH843/version/1765/detail/?format=xml
JSON site_root/api/v1/public/phenotypes/PH843/version/1765/detail/?format=json
R Package

# Download here

library(ConceptLibraryClient)


# Connect to API

client = connect_to_API(public=TRUE)


# Get details of phenotype

details = get_phenotype_detail_by_version('PH843', '1765', api_client=client)

To Export Phenotype Code List:

Format API
XML site_root/api/v1/public/phenotypes/PH843/version/1765/export/codes/?format=xml
JSON site_root/api/v1/public/phenotypes/PH843/version/1765/export/codes/?format=json
CSV site_root/phenotypes/PH843/version/1765/export/codes/
R Package

# Download here

library(ConceptLibraryClient)


# Connect to API

client = connect_to_API(public=TRUE)


# Get codelists of phenotype

codelists = get_phenotype_code_list('PH843', '1765', api_client=client)

Version History

Version
ID
Name Owner Publish date
1765 Depression Anxiety Comorbidities ieuan.scanlon 2022-04-04 currently shown

Export - export all codes into a csv file/JSON/XML for the current phenotype version.

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