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Research article:

Protocol for an observational cohort using routinely collected data from the POpulation Level Analysis and Reporting (POLAR) database in Australia to understand patterns of care for people presenting to general practice with musculoskeletal condition

Reference:

Haas R, Busija L, Gorelik A, O'Connor D, Pearce C, Mazza D, Buchbinder R.(2020) Protocol for an observational cohort using routinely collected data from the POpulation Level Analysis and Reporting (POLAR) database in Australia to understand patterns of care for people presenting to general practice with musculoskeletal condition. , doi:

Link to article
Abstract
Introduction General practice is a key component of the Australian health care system. Outcome Health’s POpulation Level Analysis and Reporting (POLAR) data space system uses de-identified electronic health records to enable data analysis at the general practice level in Australia. Previous studies using routinely collected health data for research purposes have not consistently reported the codes and algorithms used to describe the population, exposures or interventions, and outcomes in sufficient detail to allow replication. The aim of this study is to describe the methods used to classify, identify and merge eligible records from the POLAR data space system into a customised database so as to examine patterns of care for people presenting to general practice in Victoria, Australia. In doing so, this study will provide a framework for other researchers using routinely collected health data for research purposes. Methods and analysis This is a retrospective, observational cohort study. Patient-related data will be obtained through electronic health records from general practices across three primary health networks in South Eastern Victoria. Study participants will include people diagnosed with low back (aged 18 years and over), or shoulder, knee or neck conditions (aged 45 years and over) from 2014 to 2018 who were receiving care from a general practitioner (GP). Eligible records were identified deductively using coding conducted by Outcome Health and where necessary we coded data inductively. Data quality checks will be conducted and data files with eligible records will be merged to select the study cohort and create customised databases for analyses. The numbers, timing and characteristics of patients, GPs, consultations, prescriptions for pain relief, referrals to other health providers and requests for imaging tests will be examined throughout the study duration.
Author for correspondence
Romi Haas
Email for correspondence
romi.haas@monash.edu

Code list: res174: depression anxiety comorbidities

16 codes in list

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

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