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Obesity Comorbidities

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

Type
Disease or Syndrome
ID
PH851
Version ID
1781
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: 19
Code Description Entity type Coding System (SNOMED) Category
161833006 Abnormal weight gain res174: obesity comorbidities SNOMED diagnostic
16208003 Low fat diet res174: obesity comorbidities SNOMED diagnostic
162863004 Body mass index 25-29 - overweight res174: obesity comorbidities SNOMED diagnostic
162864005 Body mass index 30+ - obesity res174: obesity comorbidities SNOMED diagnostic
224994002 Excessive weight gain res174: obesity comorbidities SNOMED diagnostic
238131007 Overweight res174: obesity comorbidities SNOMED diagnostic
238136002 Morbid obesity res174: obesity comorbidities SNOMED diagnostic
248311001 Central obesity res174: obesity comorbidities SNOMED diagnostic
262286000 Weight increased res174: obesity comorbidities SNOMED diagnostic
27113001 Body weight res174: obesity comorbidities SNOMED diagnostic
301336003 Body weight problem res174: obesity comorbidities SNOMED diagnostic
363808001 Body weight measure res174: obesity comorbidities SNOMED diagnostic
388975008 Weight reduction consultation res174: obesity comorbidities SNOMED diagnostic
388976009 weight reduction regimen res174: obesity comorbidities SNOMED diagnostic
414915002 Obese res174: obesity comorbidities SNOMED diagnostic
414916001 Obesity res174: obesity comorbidities SNOMED diagnostic
60621009 Body mass index res174: obesity comorbidities SNOMED diagnostic
83421005 Failure to lose weight res174: obesity comorbidities SNOMED diagnostic
8943002 Weight gain res174: obesity comorbidities SNOMED diagnostic

API

To Export Phenotype Details:

Format API
XML site_root/api/v1/public/phenotypes/PH851/version/1781/detail/?format=xml
JSON site_root/api/v1/public/phenotypes/PH851/version/1781/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('PH851', '1781', api_client=client)

To Export Phenotype Code List:

Format API
XML site_root/api/v1/public/phenotypes/PH851/version/1781/export/codes/?format=xml
JSON site_root/api/v1/public/phenotypes/PH851/version/1781/export/codes/?format=json
CSV site_root/phenotypes/PH851/version/1781/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('PH851', '1781', api_client=client)

Version History

Version
ID
Name Owner Publish date
1781 Obesity 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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