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In Australia, general practice (GP) acts as the gatekeeper to the rest of the healthcare system, and therefore the vast majority of the population have an electronic medical record. It follows that the largest database of the population is therefore on the distributed GP computers. Informed by a comprehensive system-wide data strategy, the Population Level Analysis and Reporting program extracts data from the GP electronic medical records and repurposes it for multiple uses. The program requires the data to be coded and then structured for multiple uses clinical care, clinical governance, research, and policy.

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OBJECTIVE: This project examined and produced a general practice (GP) based decision support tool (DST), namely POLAR Diversion, to predict a patient's risk of emergency department (ED) presentation. The tool was built using both GP/family practice and ED data, but is designed to operate on GP data alone. METHODS: GP data from 50 practices during a defined time frame were linked with three local EDs. Linked data and data mapping were used to develop a machine learning DST to determine a range of variables that, in combination, led to predictive patient ED presentation risk scores. Thirteen percent of the GP data was kept as a control group and used to validate the tool. RESULTS: The algorithm performed best in predicting the risk of attending ED within the 30-day time category, and also in the no ED attendance tests, suggesting few false positives. At 0 to 30 days the positive predictive value (PPV) was 74%, with a sensitivity/recall of 68%. Non-ED attendance had a PPV of 82% and sensitivity/recall of 96%. CONCLUSION: Findings indicate that the POLAR Diversion algorithm performed better than previously developed tools, particularly in the 0 to 30 day time category. Its utility increases because of it being based on the data within the GP system alone, with the ability to create real-time "in consultation" warnings. The tool will be deployed across GPs in Australia, allowing us to assess the clinical utility, and data quality needs in further iterations.

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INTRODUCTION: In Australia, general practitioners usually are the first point of contact for patients with non-urgent medical conditions. Appropriate and efficient utilisation of pathology tests by general practitioners forms a key part of diagnosis and monitoring. However overutilisationand underutilisation of pathology tests have been reported across several tests and conditions, despite evidence-based guidelines outlining best practice in pathology testing. There are a limited number of studies evaluating the impact of these guidelines on pathology testing in general practice. The aim of our quantitative observational study is to define how pathology tests are used in general practice and investigate how test ordering practices align with evidence-based pathology guidelines. METHODS AND ANALYSIS: Access to non-identifiable patient data will be obtained through electronic health records from general practices across three primary health networks in Victoria, Australia. Numbers and characteristics of patients, general practices, encounters, pathology tests and problems managed over time will be described. Overall rates of encounters and tests, alongside more detailed investigation between subcategories (encounter year, patient's age, gender, and location and general practice size), will also be undertaken. To evaluate how general practitioner test ordering coincides with evidence-based guidelines, five key candidate indicators will be investigated: full blood counts for patients on clozapine medication; international normalised ratio measurements for patients on warfarin medication; glycated haemoglobin testing for monitoring patients with diabetes; vitamin D testing; and thyroid function testing. ETHICS AND DISSEMINATION: Ethics clearance to collect data from general practice facilities has been obtained by the data provider from the RACGP National Research and Evaluation Ethics Committee (NREEC 17-008). Approval for the research group to use these data has been obtained from Macquarie University (5201700872). This study is funded by the Australian Government Department of Health Quality Use of Pathology Program (Agreement ID: 4-2QFVW4M). Findings will be reported to the Department of Health and disseminated in peer-reviewed academic journals and presentations (national and international conferences, industry forums).

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OBJECTIVE: To describe patterns for potentially avoidable general practice (PAGP)-type and non-PAGP-type ED presentations by older patients during 2008 and 2012. METHODS: Retrospective analysis of ED presentations by patients ≥70 years for 2008 and 2012. Metropolitan Melbourne public hospital data were obtained from the Victorian Emergency Minimum Dataset. Outcomes were characteristics of PAGP-type and non-PAGP-type presentations as defined by the Australian Institute of Health and Welfare; numbers and rates per 1000 population ≥70 years of repeat (×2-3/year) and frequent (≥ ×4/year) PAGP-type and non-PAGP-type presentations. RESULTS: The older metropolitan Melbourne population increased by 10.3% between 2008 and 2012, whereas the number of ED presentations increased by 12.7%. The volume of PAGP-type presentations decreased by 2.6%, with declining rates per 1000 population ≥70 years of repeat (7.2-6.2) and frequent (0.7-0.4) presentation. In contrast, the volume of non-PAGP-type presentations grew by 15.4%, with increasing repeat (57.6-60.7) and frequent (13.1-14.2) presentation rates per 1000 population ≥70 years. The majority (39%) of non-PAGP-type presentations by frequent ED attenders were due to cardiovascular or respiratory problems. CONCLUSION: The rate of repeat and frequent PAGP-type presentations by older people decreased in 2012 compared with 2008, suggesting that initiatives implemented to reduce avoidable presentations may have had an effect. However, an increase in the rate of frequent non-PAGP-type presentations, predominately for acute exacerbation of cardiovascular and respiratory conditions, has important implications for planning future healthcare delivery; hence, the importance of initiatives such as the Health Care Home.

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Objective Older patients are over-represented in emergency departments (ED), with many presenting for conditions that could potentially be managed in general practice. The aims of the present study were to examine the characteristics of ED presentations by older patients and to identify patient factors contributing to potentially avoidable general practitioner (PAGP)-type presentations. Methods A retrospective analysis was performed of routinely collected data comprising ED presentations by patients aged ≥70 years at public hospitals across metropolitan Melbourne from January 2008 to December 2012. Presentations were classified according to the National Healthcare Agreement definition for PAGP-type presentations. Presentations were characterised according to patient demographic and clinical factors and were compared across PAGP-type and non-PAGP-type groups. Results There were 744519 presentations to the ED by older people, of which 103471 (13.9%) were classified as PAGP-type presentations. The volume of such presentations declined over the study period from 20893 (14.9%) in 2008 to 20346 (12.8%) in 2012. External injuries were the most common diagnoses (13761; 13.3%) associated with PAGP-type presentations. Sixty-one per cent of PAGP-type presentations did not involve either an investigation or a procedure. Patients were referred back to a medical officer (including a general practitioner (GP)) in 58.7% of cases. Conclusion Older people made a significant number of PAGP-type presentations to the ED during the period 2008-12. A low rate of referral back to the primary care setting implies a potential lost opportunity to redirect older patients from ED services back to their GPs for ongoing care. What is known about the topic? Older patients are increasingly attending EDs, with a proportion attending for problems that could potentially be managed in the general practice setting (termed PAGP-type presentations). What does this paper add? This study found that PAGP-type presentations, although declining, remain an important component of ED demand. Patients presented for a wide array of conditions and during periods that may indicate difficulty accessing a GP. What are the implications for practitioners? Strategies to redirect PAGP-type presentations to the GP setting are required at both the primary and acute care levels. These include increasing out-of-hours GP services, better triaging and appointment management in GP clinics and improved communication between ED clinicians and patients' GPs. Although some strategies have been implemented, further examination is required to assess their ongoing effectiveness.

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Medicare Benefits Schedule (MBS) items designed to support the wellbeing of older people may reduce unnecessary emergency department utilisation, however it is unclear to what extent such items are used. This study examined general practitioner (GP) utilisation of these MBS items through an analysis of the Melbourne East Monash General Practice Database (MAGNET), which contains information collected from GP clinics within the inner east Melbourne region. Sociodemographic and MBS claim data were extracted for patients aged ≥75 years attending a GP between 2005 and 2012. Utilisation of 75+ Health Assessments, General Practitioner Management Plans (GPMP), Team Care Arrangements (TCAs) or reviews, or Medication Management Reviews (MMRs) was assessed. There were 12962 (60.6%) patients assigned at least one of the MBS items. The highest level of claiming was for GPMPs (n=4754; 35.8%) and TCAs (n=4476; 33.7%), with MMRs having the lowest use (n=1023; 6.8%). Examination of GP and patient barriers to the uptake of these items is needed, along with a greater understanding as to whether those most at risk of hospitalisation are receiving these services. Strategies that support capacity to implement these items are also required.

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After-hours access to general practice (GP) is critical to supporting accessibility and reducing emergency department demand. To understand who utilises after-hours GP services, this study examined the characteristics of presentations to an Eastern Melbourne after-hours clinic between 2005 and 2014. Descriptive analyses of patient and presentation characteristics, diagnoses, medications and pathology were conducted. Across the study period, 39.1% of presentations to the clinic (N=64,800) were by patients under 18 years of age. Females were found to attend more often than males, and nearly 79% of patients attended only once. The most common diagnoses were respiratory system diseases (13.4%), gastrointestinal system diseases (12.6%) and eye and ear problems (11.6%). Antibacterial medications accounted for over half (53.0%) of all prescriptions, with 34% of antibiotics prescribed to patients under 18 years of age. Seasonal variation in GP demand was also observed. Presenting patients differed from the wider GP patient population, with more young patients, and a higher proportion of prescriptions for antibacterial medications compared to other predominantly non-after-hours practices. Further research is required to understand the health-seeking, decision-making of patients who utilise after-hours GPs over predominantly non-after-hours primary care services, to inform service promotion and delivery strategies.

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BACKGROUND: Every day, patients are admitted to the hospital with conditions that could have been effectively managed in the primary care sector. These admissions are expensive and in many cases are possible to avoid if early intervention occurs. General practitioners are in the best position to identify those at risk of imminent hospital presentation and admission; however, it is not always possible for all the factors to be considered. A lack of shared information contributes significantly to the challenge of understanding a patient's full medical history. Some health care systems around the world use algorithms to analyze patient data in order to predict events such as emergency presentation; however, those responsible for the design and use of such systems readily admit that the algorithms can only be used to assess the populations used to design the algorithm in the first place. The United Kingdom health care system has contributed data toward algorithm development, which is possible through the unified health care system in place there. The lack of unified patient records in Australia has made building an algorithm for local use a significant challenge. OBJECTIVE: Our objective is to use linked patient records to track patient flow through primary and secondary health care in order to develop a tool that can be applied in real time at the general practice level. This algorithm will allow the generation of reports for general practitioners that indicate the relative risk of patients presenting to an emergency department. METHODS: A previously designed tool was used to deidentify the general practice and hospital records of approximately 100,000 patients. Records were pooled for patients who had attended emergency departments within the Eastern Health Network of hospitals and general practices within the Eastern Health Network catchment. The next phase will involve development of a model using a predictive analytic machine learning algorithm. The model will be developed iteratively, testing the combination of variables that will provide the best predictive model. RESULTS: Records of approximately 97,000 patients who have attended both a general practice and an emergency department have been identified within the database. These records are currently being used to develop the predictive model. CONCLUSIONS: Records from general practice and emergency department visits have been identified and pooled for development of the algorithm. The next phase in the project will see validation and live testing of the algorithm in a practice setting. The algorithm will underpin a clinical decision support tool for general practitioners which will be tested for face validity in this initial study into its efficacy.

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OBJECTIVES: To examine how older people use an after-hours medical deputising service that arranges home visits by locum general practitioners; to identify differences in how people who live in the community and those who live in residential aged care facilities (RACFs) use this service. DESIGN, SETTING AND PARTICIPANTS: Retrospective analysis of routinely collected administrative data from the Melbourne Medical Deputising Service (MMDS) for the 5-year period, 1 January 2008 - 31 December 2012. Data for older people (≥ 70 years old) residing in greater Melbourne and surrounding areas were analysed. MAIN OUTCOME MEASURES: Numbers and rates of MMDS bookings for acute after-hours care, stratified according to living arrangements (RACF v community-dwelling residents). RESULTS: Of the 357 112 bookings logged for older patients during 2008-2012, 81% were for RACF patients, a disproportionate use of the service compared with that by older people dwelling in the community. Most MMDS bookings resulted in a locum GP visiting the patient. During 2008-2012, the booking rate for RACFs increased from 121 to 168 per 1000 people aged 70 years or more, a 39% increase; the booking rate for people not living in RACFs increased from 33 to 40 per 1000 people aged 70 years or more, a 21% increase. CONCLUSIONS: After-hours locum GPs booked through the MMDS mainly attended patients living in RACFs during 2008-2012. Further research is required to determine the reasons for differences in the use of locum services by older people living in RACFs and in the community.

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The Melbourne East MonAsh GeNeral PracticE DaTabase (MAGNET) research platform was launched in 2013 to provide a unique data source for primary care and health services research in Australia.  MAGNET contains information from the computerised records of 50 participating general practices and includes data from the computerised medical records of more than 1,100,000 patients.  The data extracted is patient-level episodic information and includes a variety of fields related to patient demographics and historical clinical information, along with the characteristics of the participating general practices.  While there are limitations to the data that is currently available, the MAGNET research platform continues to investigate other avenues for improving the breadth and quality of data, with the aim of providing a more comprehensive picture of primary care in Australia.

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BACKGROUND: Change management in health care is a complex and time-consuming endeavour, and no less so in implementing technological systems. In deploying a nationwide programme, the personally controlled electronic health record (PCEHR), the Australian Government employed a number of national and local change management programmes. OBJECTIVE: This article describes the processes undertaken and the experiences of introducing the PCEHR into 74 general practices across a specific area of metropolitan Melbourne. METHOD: An online survey was developed by an independent evaluator and offered to all participating practices. The response rate was 82%. RESULTS: The deployment and testing of the eHealth infrastructure and the roll-out of the PCEHR were deeply supported through face-to-face, locally contextualised support processes. The area Medicare Local (ML), an organisation that provides support services to general practice and allied health in the community, provided support and programme coordination. This support occurred in the environment of a number of other initiatives to improve adoption. CONCLUSION: The impact and value of this support in the registration and adoption process was explored in an online survey and found to be the key factor in practice engagement and success. ML support was seen as instrumental in improving adoption and was more effective than other activities. This article highlights the role of local support, in this case, MLs, in the effective implementation of eHealth programmes across a range of stakeholder groups, in particular, general practice, and the potential for the lessons learned from the engagement model of such an entity to be more generally applied.

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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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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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INTRODUCTION: Five years ago Australia, and the world, placed itself on heightened alert for pandemic influenza, based on concerns about the potential spread of the avian influenza virus. This prompted a flurry of preparation activity involving general practice, with information from various sources; government, colleges and divisions of general practice. METHOD: To assess how general practitioners and practice nurses perceive this information, practice nurses and general practitioners were interviewed as part of a larger project exploring the role of the Australian general practice sector in an influenza pandemic. Results were validated by two focus groups and scenario sessions. FINDINGS: Participants perceived that non-government organisations rarely gave useful information during a pandemic outbreak. Local divisions were perceived as having a practical and useful role, providing hands-on support to practices during a pandemic outbreak. Our participants did not perceive any coordination in the delivery of information sent by all the organisations involved in a pandemic response and therefore rejected our second hypothesis. CONCLUSIONS: More planning needs to go into the coordinated response of the general practice sector to a pandemic, and such a response should include the support of local Divisions, both as a conduit for information and to assist practices to develop response plans.

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There is great scope for general practitioners and case managers to work together. An agreement regarding roles and responsibilities negotiated between GPs and service providers assists in the resource efficient provision of care and can result in positive outcomes for patients. This article describes how a GP can effectively use a case manager in a partnership approach.

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