There is limited data surrounding incidence and prevalence of concussion and the resulting post-concussion states. This creates difficulty when investigating ways to optimise patient management. It is proposed that a registry of patients presenting with symptoms and signs after a concussion, as part of a large scale TBI registry across Australia, would provide a starting point for future research with a view to improving the outcomes of patients experiencing symptoms and signs after concussion.

Introduction: Mild traumatic brain injury (mTBI) is a complex injury with heterogeneous physical, cognitive, emotional and functional outcomes. Many who sustain mTBI recover within 2 weeks of injury; however, approximately 10%–20% of individuals experience mTBI symptoms beyond this ‘typical’ recovery timeframe, known as persistent post-concussion symptoms (PPCS). Despite increasing interest in PPCS, uncertainty remains regarding its prevalence in community-based populations and the extent to which poor recovery may be identified using early predictive markers. Objective: (1) Establish a research dataset of people who have experienced mTBI and document their recovery trajectories; (2) Evaluate a broad range of novel and established prognostic factors for inclusion in a predictive model for PPCS. Methods and analysis: The Concussion Recovery Study ( CREST ) is a prospective, longitudinal observational cohort study conducted in Perth, Western Australia. CREST is recruiting adults aged 18–65 from medical and community-based settings with acute diagnosis of mTBI. CREST will create a state-wide research dataset of mTBI cases, with data being collected in two phases. Phase I collates data on demographics, medical background, lifestyle habits, nature of injury and acute mTBI symptomatology. In Phase II , participants undergo neuropsychological evaluation, exercise tolerance and vestibular/ocular motor screening, MRI, quantitative electroencephalography and blood-based biomarker assessment. Follow-up is conducted via telephone interview at 1, 3, 6 and 12 months after injury. Primary outcome measures are presence of PPCS and quality of life, as measured by the Post-Concussion Symptom Scale and the Quality of Life after Brain Injury questionnaires, respectively. Multivariate modelling will examine the prognostic value of promising factors. Ethics and dissemination: Human Research Ethics Committees of Royal Perth Hospital (#RGS0000003024), Curtin University (HRE2019-0209), Ramsay Health Care (#2009) and St John of God Health Care (#1628) have approved this study protocol. Findings will be published in peer-reviewed journals and presented at scientific conferences. Trial registration number: ACTRN12619001226190.

Background: General Practitioners (GPs) may be called upon to assess patients who have sustained a concussion despite limited information being available at this assessment. Information relating to how concussion is actually being assessed and managed in General Practice is scarce. This study aimed to identify characteristics of current Western Australian (WA) GP exposure to patients with concussion, factors associated with GPs’ knowledge of concussion, confidence of GPs in diagnosing and managing patients with concussion, typical referral practices and familiarity of GPs with guidelines.Methods: In this cross-sectional study, GPs in WA were recruited via the RACGP WA newsletter and shareGP and the consented GPs completed an electronic survey. Associations were performed using Chi-squared tests or Fisher’s Exact test.Results: Sixty-six GPs in WA responded to the survey (response rate = 1.7%). Demographics, usual practice, knowledge, confidence, identification of prolonged recovery as well as guideline and resource awareness of GPs who practised in regional and metropolitan areas were comparable (p > 0.05). Characteristics of GPs were similar between those who identified all symptoms of concussion and distractors correctly and those who did not (p > 0.05). However, 84% of the respondents who had never heard of concussion guidelines were less likely to answer all symptoms and distractors correctly (p = 0.039). Whilst 78% of the GPs who were confident in their diagnoses had heard of guidelines (p = 0.029), confidence in managing concussion was not significantly associated with GPs exposure to guidelines. It should be noted that none of the respondents correctly identified signs of concussion and excluded the distractors.Conclusions: Knowledge surrounding concussion guidelines, diagnosis and management varied across GPs in WA. Promotion of available concussion guidelines may assist GPs who lack confidence in making a diagnosis. The lack of association between GPs exposure to guidelines and confidence managing concussion highlights that concussion management may be an area where GPs could benefit from additional education and support.

Diabetes poses huge financial implications for individuals and healthcare systems. This study aims to quantify the incremental direct healthcare costs associated with diabetes in Australia. This matched retrospective cohort study used a linked administrative dataset for Western Australia. Diabetes cases (n = 18,937) were matched 1:1 to controls based on age, sex, remoteness, and weight status. Direct healthcare costs incurred by the government, including costs of hospital admissions, emergency presentations, prescribed medications, general practice visits, and pathology tests, were estimated for 2021, with costs expressed in 2024 Australian Dollars (AUD). The incremental cost was calculated as the difference between the average annual costs of people with diabetes and those without diabetes, and the cost was extrapolated to the total population in 2024. Average annual healthcare costs per person with diabetes (AUD 9677) were 2.1 times higher than those without diabetes (AUD 4669). The average annual costs attributable to people with Type 2 Diabetes (AUD 5135) were higher than those with Type 1 Diabetes (AUD 4295). The incremental costs of diabetes (AUD 5008) significantly varied across age groups, remoteness, weight status, socioeconomic status and smoking status. In Australia, the total healthcare cost associated with diabetes in 2024 was estimated at AUD 14.2 billion, and the total incremental cost associated with diabetes was estimated at AUD 7.3 billion. Diabetes imposes a substantial excess direct healthcare cost burden. Evidence could guide the planning and allocation of resources, as well as support the need for targeted health interventions.