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INTRODUCTION: General practitioners (GPs) play a crucial role in the early management and treatment of the comorbidities and complications experienced by people with disability. However, GPs experience multiple constraints, including limited time and disability-related expertise. Knowledge gaps around the health needs of people with disability as well as the frequency and extent of their engagement with GPs mean evidence to inform practice is limited. Using a linked dataset, this project aims to enhance the knowledge of the GP workforce by describing the health needs of people with disability. METHODS AND ANALYSIS: This project is a retrospective cohort study using general practice health records from the eastern Melbourne region in Victoria, Australia. The research uses Eastern Melbourne Primary Health Network (EMPHN)-owned de-identified primary care data from Outcome Health's POpulation Level Analysis and Reporting Tool (POLAR). The EMPHN POLAR GP health records have been linked with National Disability Insurance Scheme (NDIS) data. Data analysis will involve comparisons across disability groups and the rest of the population to explore utilisation (eg, frequency of visits), clinical and preventative care (eg, cancer screening, blood pressure readings) and health needs (eg, health conditions, medications). Initial analyses will focus on NDIS participants as a whole and NDIS participants whose condition is either an acquired brain injury, stroke, spinal cord injury, multiple sclerosis or cerebral palsy, as classified by the NDIS. ETHICS AND DISSEMINATION: Ethics approval was obtained from the Eastern Health Human Research Ethics Committee (E20/001/58261), and approval for the general collection, storage and transfer of data was from the Royal Australian College of General Practitioners National Research Ethics and Evaluation Committee (protocol ID: 17-088). Dissemination mechanisms will include the engagement of stakeholders through reference groups and steering committees, as well as the production of research translation resources in parallel with peer-reviewed publications and conference presentations.

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The COVID-19 pandemic has caused widespread illness with varying clinical manifestations. One less-commonly-reported presentation of COVID-19 infection is chilblain-like lesions. We conducted an ecological analysis of chilblain presentations in comparison with confirmed and suspected COVID-19 infections in a primary care setting to establish that a relationship exists between the two. Our study collated data from three Primary Health Networks across Victoria, Australia, from 2017-2021, to understand patterns of chilblain presentations prior to and throughout the pandemic. Using a zero-inflated negative binomial regression analysis, we estimated the relationship between local minimum temperature, COVID-19 infections and the frequency of chilblain presentations. We found a 5.72 risk ratio of chilblain incidence in relation to COVID-19 infections and a 3.23 risk ratio associated with suspected COVID-19 infections. COVID-19 infections were also more strongly associated with chilblain presentations in 0-16-year-olds throughout the pandemic in Victoria. Our study statistically suggests that chilblains are significantly associated with COVID-19 infections in a primary care setting. This has major implications for clinicians aiming to diagnose COVID-19 infections or determine the cause of a presentation of chilblains. Additionally, we demonstrate the utility of large-scale primary care data in identifying an uncommon manifestation of COVID-19 infections, which will be significantly beneficial to treating physicians.

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INTRODUCTION: As SARS-CoV-2 spread around the world, Australia was no exception. Part of the Australian response was a robust primary care approach, involving changes to care models (including telehealth) and the widespread use of data to inform the changes. This paper outlines how a large primary care database responded to provide real-time data to inform policy and practice. Simply extracting the data is not sufficient. Understanding the data is. The POpulation Level Analysis and Reporting (POLAR) program is designed to use GP data for multiple objectives and is built on a pre-existing engagement framework established over a fifteen-year period. Initially developed to provide QA activities for general practices and population level data for General Practice support organisations, the POLAR platform has demonstrated the critical ability to design and deploy real-time data analytics solutions during the COVID-19 pandemic for a variety of stakeholders including state and federal government agencies. METHODS: The system extracts and processes data from over 1,300 general practices daily. Data is de-identified at the point of collection and encrypted before transfer. Data cleaning for analysis uses a variety of techniques, including Natural Language Processing and coding of free text information. The curated dataset is then distilled into several analytic solutions designed to address specific areas of investigation of interest to various stakeholders. One such analytic solution was a model we created that used multiple data inputs to rank patient geographic areas by the likelihood of a COVID-19 outbreak. The model utilised pathology ordering, COVID-19 related diagnoses, indication of COVID-19 related concern (via progress notes) and also incorporated state based actual confirmed case figures. RESULTS: Using the methods described, we were able to deliver real-time data feeds to practices, Primary Health Networks (PHN) and other agencies. In addition, we developed a COVID-19 geographic risk stratification based on local government areas (LGAs) to pro-actively inform the primary care response. Providing PHNs with a list of geographic priority hotspots allowed for better targeting and response of Personal Protective Equipment allocation and pop-up clinic placement. CONCLUSIONS: The program summarised here demonstrates the ability of a well-designed system underpinned by accurate and reliable data, to respond in real-time to a rapidly evolving public health emergency in a way which supports and enhances the health system response.

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This paper describes how the Melbourne East General Practice Network supports general practice to enable quality of care, it describes the challenges and enablers of change, and the evidence of practice capacity building and improved quality of care. Primary care is well known as a place where quality, relatively inexpensive medical care occurs. General practice is made up of multiple small sites with fragmented systems and a funding system that challenges a whole-of-practice approach to clinical care. General Practice Networks support GPs to synthesise complexity and crystallise solutions that enhance general practice beyond current capacity. Through a culture of change management, GP Networks create the link between the practice and the big picture of the whole health system and reduce the isolation of general practice. They distribute information (evidence-based learning and resources) and provide individualised support, responding to practice need and capacity.

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BACKGROUND: In 2010, the federal government introduced the first comprehensive national policy statement for primary healthcare in Australia. This policy identifies key reform initiatives with the overall aim of improving the quality of healthcare. However, what constitutes quality and how to measure it is the subject of ongoing debate both nationally and internationally. OBJECTIVE: In this article we explore the current experience of defining quality and implementing quality frameworks in general practice settings in New Zealand, the United Kingdom, Germany and Australia. DISCUSSION: There are multiple and varying definitions of quality in general practice, but most emphasise patient experience as their primary focus. The quality frameworks used in the countries investigated are all based on Donabedian's systems-based framework of structure, process and outcome. Implementation and application varies however, with top-down approaches in New Zealand and the United Kingdom, and bottom-up approaches in Germany. Provision of high quality care is the primary goal in all the systems described. External standards, targets and incentives are important initiatives, but countries with high quality general practice excel at empowering general practice to own the quality agenda.

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Throughout the international community there is an increasing focus on the benefits of collecting, pooling and analysing patient data. General practice provides a great opportunity to create a comprehensive database of the Australian population as 90% of Australians visit their general practitioner each year and general practices are increasingly computerised. This article discusses the facilitatory role divisions of general practice can play in harnessing quality data from general practice and the benefits that may follow. It describes experience from 3 years of data pooling by the Melbourne East General Practice Network in Victoria and makes recommendations for other organisations interested in data collection.

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