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Introduction: The shortfall in medical workers in rural and remote Australia has led to health discrepancies in these regions. The University of Wollongong's medical program was designed to encourage graduates to work in these regions to address this shortfall. Objective: To compare rural and regional locations of work and choices of speciality between University of Wollongong's graduates and graduates from all Australian universities. Design: We conducted a longitudinal analysis on data available from the Medical Schools Outcome database, with graduate exit surveys linked to registrations of location and speciality. Rural and remote locations were identified as MM2‐7 regions using the Modified Monash Model. In total, 716 graduates from the University of Wollongong and 26 915 graduates from all Australian medical schools completed the MSOD exit survey in 2010‐2021 and registered with the Australian Health Practitioner Regulation Agency in 2022. The main outcome was the relative likelihood (relative risk) of cohorts working in rural and regional areas and of cohorts choosing general practice as their speciality. Findings: University of Wollongong's medical graduates were 1.51 times or 51% more likely to work in regional or rural areas (RR 1.51, 95% CI 1.34 to 1.71, p < 0.0001). Respondents who were 10 or more years post graduation were 1.57 times or 57% more likely to specialise in general practice than all other Australian medical graduates (RR 1.57 95% CI: 1.40 to 1.79, p < 0.0001). Discussion: The University of Wollongong's medical school is producing graduates to meet Australia's rural health workforce needs. This may be due to a higher intake of rural students, and a higher percentage of students taking rural placements. Conclusions: Rural health workforce needs can be addressed through rural‐focussed education strategies. [ABSTRACT FROM AUTHOR]

Introduction: Addressing the imbalance of the health workforce between metropolitan and rural areas requires a clear understanding of trends in choices of work location of health care staff. Objective: Here, we provide an automated and highly reproducible protocol to examine the location of health care workers over multiple years using medical graduates as a case study. Design: Data linkage cohort study. The study cohort examined was University of Wollongong Medical graduates from 2010 to 2021 who were registered to practice in Australia. The main outcome measure was graduate location of practice in Modified Monash regsions MM1 or MM2–7 across multiple postgraduate years. This protocol used R Markdown. Findings: An automated and reproducible protocol was used to analyse choices of work location for the University of Wollongong's medical graduates. Over 90% of graduates were registered with AHPRA. Around 25%–30% of graduates were found to work in MM2–7 regions across their careers, exceeding the national average. Discussion: The protocol presented allows for a fast and reproducible analysis of work location by region for health care workers. This will allow comparisons of outcomes between universities or health professions. [ABSTRACT FROM AUTHOR]

Background: Relational continuity, 'a therapeutic relationship between a patient and provider/s that spans health care events', has been associated with improved patient outcomes.Objectives: To evaluate whether an intervention incorporating patient enrolment and a funding model for higher-risk patients influenced patient-reported experience measures, particularly relational continuity.Methods: Cluster-randomized controlled trial over 12 months (1 August 2018-31 July 2019). Participating patients within intervention practices were offered enrolment with a preferred general practitioner, a minimum of 3 longer appointments, and review within 7 days of hospital admission or emergency department attendance. Intervention practices received incentives for longer consultations (dependent on reducing unnecessary prescriptions and tests), early post-hospital follow-up, and hospitalization reductions. The primary outcome was patient-reported relational continuity, measured by the Primary Care Assessment Tool Short Form.Results: A total of 774 patients, aged 18-65 years with a chronic illness or aged over 65 years, from 34 general practices in metropolitan, regional, and rural Australia across 3 states participated. Response rates for questionnaires were >90%. From a maximum of 4.0, mean baseline scores for relational continuity were 3.38 (SE 0.05) and 3.42 (SE 0.05) in control and intervention arms, respectively, with no significant between-group differences in changes pre-post trial. There were no significant changes in other patient-focussed measures.Conclusion: Patient-reported relational continuity was high at baseline and not influenced by the intervention, signalling the need for caution with policies incorporating patient enrolment and financial incentives. Further research is required targeting at-risk patient groups with low baseline engagement with primary care. [ABSTRACT FROM AUTHOR]

Objective. This study reviewed the maternity leave policies in Australian general practice speciality training and compared them to hospital-based speciality training policies. Methods. Nine general practice regional training organisations' maternity leave policies were audited and compared to 11 Australian hospital speciality training maternity leave policies. Data pertaining to each component of Cheung's health policy analysis tool were reviewed. Results. Across all specialities there was a lack of evidence-informed policy design and evidence-based goal setting. Compared with other specialities, general practice was the only speciality where trainees did not receive paid maternity leave. Conclusions. This study highlights the need to improve maternity leave policies in line with evidence and best practice for both general practice and hospital-based speciality registrars. [ABSTRACT FROM AUTHOR]

The importance of residential aged care facility (RACF)'s medical care is growing, driven by world‐wide demographic trends in ageing populations. Despite this, there is a paucity of research into this care delivery from the perspective of those most involved. This study aimed to identify the enablers of and barriers to satisfactory RACF medical care by focusing on the general practitioner (GP) visit in the experience of residents, their family, registered nurses (RNs) and GPs. A multi‐site case study was conducted at four purposively chosen RACFs in rural and regional New South Wales, Australia. Data derived from semi‐structured interviews with 35 randomly selected aforementioned stakeholders and conducted in 2017 were evaluated using thematic, specifically framework analysis. The study's first key finding was related to the care team and to care recipients. It was evident that the quality of the RN–GP interprofessional collaboration was important for satisfactory care delivery. However, the care team was observed to additionally include RACF care staff and family members. Families were also in need of care. The study's second key finding was related to continuity of care. The interpersonal continuity of care provided by the existing GP continuing a new resident's care was beneficial. Informational continuity of care was found to be important but often disrupted by patient's information being initially unavailable, then fragmented and stored in different places. Medication management systems when accessed were poorly organised, time consuming and complex. This research suggests two useful new paradigms for residential aged care. The first is a re‐envisaging of the resident care team to include the RN, GP, family and care staff, and those needing care to include residents and family. Secondly, care teams informed by interpersonal and informational continuity of care, and satisfactory resident care appears inextricably and positively linked. [ABSTRACT FROM AUTHOR]

Context: Relational continuity is a core value of primary care. Little is known as to how it can be promoted. EQuIP-GP was a 12-month cluster RCT in 36 practices exploring whether financial incentives can improve relational continuity in general practice (GP). Objective: We examined a) how financial incentives are perceived and experienced by patients and GP teams and b) how routines related to relational continuity are influenced by financial incentives. Study Design: Mixed methods case study. Setting: Maximum variation sample of 6 (2 per state) of the 18 EQuIP-GP intervention practices from the Australian states of New South Wales, Victoria and Tasmania. Population: Each practice provided quantitative data on 30 patients aged =55 and qualitative data from patients, GPs, practice nurses (PN) and practice managers (PM). Intervention: Intervention practices received quality-linked financial incentives for offering longer consultations and early post-hospital review for enrolled patients. Outreach facilitators worked with practices to modify continuity routines. Instruments: Baseline practice attributes survey; Patient Primary Care Assessment Tool (PCAT); semi-structured interviews (13 patients, 10 GPs, 1 PN and 5 PMs). The 3 facilitators collected reflective notes of practice visits and participated in post-study interviews. Outcome Measures: Change in pre-post PCAT relational continuity using paired ttests and one-way ANOVA. Qualitative "practice intervention narratives" helped investigate the response to the intervention and concepts about financial incentives. Results. As with the EQuIP-GP trial, there was no change in relational continuity - PCAT and interview data both suggesting continuity was high at baseline. Participants saw relational continuity as a core component of primary care that should not need incentivising, seeing incentives as a "blunt instrument". Both patients and GPs favoured rewarding, rather than incentivising, quality care. Many felt that Equip-GP's incentive model increased attention to pre-existing routines rather than facilitating new ways of working. Conclusions: While financial incentives can help practices identify how existing routines can influence continuity, incentives for this core component of primary care seem better framed as a reward for good practice rather than an incentive for improvement. Further research could explore these issues in practices with lower baseline continuity of care. [ABSTRACT FROM AUTHOR]

ObjectiveThis study aimed to examine changes in the demographics and regions of work of Australian doctors over a period of 9years.MethodsA retrospective study of Australian Health Practitioner Regulation Agency (AHPRA) registration data was performed. Data were sourced from the Health Workforce Dataset Online Data Tool which was derived from annual registration data from AHPRA for 2013-2022. The demographic factors analysed were gender, age, and origin of qualification. Regions of work were defined using the Modified Monash (MM) model.ResultsThe number of registered doctors increased from 82,408 in 2013 to 111,908 in 2022 but mean hours worked per week decreased from 41 to 39 leading up to 2020. Trends in age and origin of qualification remained stable, but the proportion of female workers increased from 38.5% in 2013 to 44.5% in 2022. While female hours per week (~37) were consistent from 2013 to 2020, male hours per week decreased from 43 to 41. The number of registrations and total full-time equivalent (FTE) outcomes increased consistently in metropolitan (MM1) and rural (MM2-5) regions but did not increase for remote and very remote (MM6-7) regions.ConclusionThe Australian medical workforce both grew and changed between 2013 and 2022. An overall decrease in mean hours worked appears to be driven by a decline in hours worked by male workers and the increased proportion of female workers. While increased gender parity and a decrease in hours worked per week were positive outcomes, a lack of growth in the medical workforce was noted in remote and very remote regions of Australia.

Aims: This study serves as an exemplar to demonstrate the scalability of a research approach using survival analysis applied to general practice electronic health record data from multiple sites. Collection of these data, the subsequent analysis, and the preparation of practice-specific reports were performed using a bespoke distributed data collection and analysis software tool., Background: Statins are a very commonly prescribed medication, yet there is a paucity of evidence for their benefits in older patients. We examine the relationship between statin prescriptions for general practice patients over 75 and all-cause mortality., Methods: We carried out a retrospective cohort study using survival analysis applied to data extracted from the electronic health records of five Australian general practices., Findings: The data from 8025 patients were analysed. The median duration of follow-up was 6.48 years. Overall, 52 015 patient-years of data were examined, and the outcome of death from any cause was measured in 1657 patients (21%), with the remainder being censored. Adjusted all-cause mortality was similar for participants not prescribed statins versus those who were (HR 1.05, 95% CI 0.92-1.20, P = 0.46), except for patients with diabetes for whom all-cause mortality was increased (HR = 1.29, 95% CI: 1.00-1.68, P = 0.05). In contrast, adjusted all-cause mortality was significantly lower for patients deprescribed statins compared to those who were prescribed statins (HR 0.81, 95% CI 0.70-0.93, P < 0.001), including among females (HR = 0.75, 95% CI: 0.61-0.91, P < 0.001) and participants treated for secondary prevention (HR = 0.72, 95% CI: 0.60-0.86, P < 0.001). This study demonstrated the scalability of a research approach using survival analysis applied to general practice electronic health record data from multiple sites. We found no evidence of increased mortality due to statin-deprescribing decisions in primary care.