To evaluate the patterns of abnormal estimated glomerular filtration rate (eGFR) and urine albumin–creatinine ratio (UACR) follow-up testing for the detection of chronic kidney disease (CKD) in Australian general practices.

Retrospective, population-based observational study.

2 717 966 adults who visited a MedicineInsight participating general practice between 1 January 2012 and 31 December 2020, had ≥1 serum creatinine measurement (with or without a UACR measurement) and did not have CKD at baseline.

‘Guideline-concordant follow-up’ was defined as having a record of a repeat eGFR or UACR testing (assessed separately) within 6 months following the abnormal (eGFR2; UACR≥2.5 mg/mmol in males, ≥3.5 mg/mmol in females) incident result. Multivariable logistic regression was used to identify patient factors associated with receiving appropriate follow-up testing.

A total of 220 841 and 114 889 patients with an abnormal incident eGFR and UACR result, respectively, were identified. Nearly half (45.0%) of the patients with an abnormal eGFR result and over two-thirds (69.7%) of the patients with an abnormal UACR result did not have a follow-up test within 6 months. Patient factors associated with a higher likelihood of follow-up eGFR testing included indicators of poorer baseline health and greater CKD risk, such as comorbid diabetes (adjusted OR 1.36, 95% CI 1.32 to 1.40) or more severe incident eGFR (adjusted ORs for eGFR categories 30–44, 15–29 and

In this large, population-based study, we observed substantial gaps in the follow-up of abnormal eGFR and UACR for the detection of CKD in primary care settings. Effective strategies to optimise follow-up testing for CKD detection are needed.

This study aimed to (1) assess Lumos data quality, a New South Wales (NSW) statewide linked health data asset; and (2) determine sociodemographic variation in health service utilisation of general practice, emergency department and admitted services.

A retrospective cohort study using Lumos, a linked health data asset.

A representative statewide sample population of NSW, Australia.

People residing within NSW with an electronic health record at a Lumos participating general practice between January 2010 and June 2023.

Data quality indicators of Lumos including completeness, representativeness against NSW population data, consistency and timeliness. Furthermore, variation in general practice visits, emergency department presentations and hospital admission rates stratified by age, sex, rurality and Index of Relative Socio-economic Disadvantage (IRSD)—a measure of socioeconomic status used in Australia, where lower values represent greater relative disadvantage across a range of metrics such as education and income.

At the time of analysis, Lumos included records from 5.2 million unique patients, representing half (49.7%) of the NSW resident population. Limiting data to 2022, the Lumos population distribution broadly aligned with the 2021 Census except for IRSD quintile four and five which were under-represented (15.0% vs 20.4% (standardised difference –0.14)), and over-represented (29.7% vs 19.9% (standardised difference 0.23)), respectively. Age and greater relative disadvantage were associated with higher rates of general practice visits and hospital admissions. Greater relative disadvantage was also associated with higher rates of emergency department presentations.

Lumos’s ability to overcome historical limitations of separately managed health data in Australia and its demonstrated data quality present an opportunity to enhance health system policy and planning in NSW. The variation in service utilisation across primary and tertiary care by population and geography apparent in Lumos reinforces the need for tailored service planning.

To describe diagnostic and management characteristics of acute rheumatic fever (ARF) among participants in the ‘Searching for a Technology-Driven Acute Rheumatic Fever Test’ study, in order to answer clinical questions and determine epidemiological and practice differences in different settings.

Multisite, prospective cohort study.

One hospital in northern Australia and two hospitals in New Zealand, 2018–2021.

143 episodes of definite, probable or possible ARF among 141 participants (median age 10 years, range 5–23; 98% Indigenous).

Participant characteristics, clinical, biochemical and echocardiographic data were explored using descriptive data. Associations with length of stay were determined using multivariable regression analysis.

ARF presentations were heterogeneous with the most common ARF ‘phenotype’ in 19% of cases being carditis with joint manifestations (polyarthritis, monarthritis or polyarthralgia), fever and PR prolongation. The total proportion of children with carditis was 61%. Australian compared with New Zealand participants more commonly had ARF recurrence (22% vs 0%), underlying RHD (48% vs 0%), possible/probable ARF (23% vs 9%) and were underweight (64% vs 16%). Erythrocyte sedimentation rate (ESR) provided an incremental diagnostic yield of 21% compared with C reactive protein. No instances of RHD were diagnosed among participants in New Zealand. Positive throat Group A Streptococcus culture was more common in New Zealand than in Australian participants (69% vs 3%). Children often required prolonged hospitalisation, with median hospital length-of-stay being 7 days (range 2–66). Significant predictors for length of stay in a multivariable regression model were valve disease (adjusted OR (aOR) 1.56, 95% CI 1.23 to 1.98, p

This study provides new knowledge on ARF characteristics and management and highlights international variation in diagnostic and management practice. Differing approaches need to be aligned. Meanwhile, locally specific information can help guide patient expectations after ARF diagnosis.

High-quality clinical practice guidelines and hospital standards on falls prevention and management now exist, yet their implementation into clinical practice is variable. Insights from consumers could help to guide the development of a process to improve the implementation of falls prevention and management, particularly in rehabilitation hospitals where fall rates are high.

A qualitative descriptive study will incorporate semistructured interviews and focus groups to explore the perspectives of hospital consumers on how hospital falls prevention evidence can best be implemented into rehabilitation practice. Thematic analysis of the data will be conducted in NVivo using a six-phase thematic coding process guided by Braun and Clarke. Evaluation and synthesis of the data will also follow the Consolidated Criteria for Reporting Qualitative Research checklist. Consideration of the results from the interviews and focus groups will provide insights into the views of people with lived experience of hospitalisation and falls. Thematic analysis will be supported by direct quotes for each key theme and will highlight how the themes relate to the study aims and the rehabilitation context.

The study was approved by La Trobe University Human Research Ethics Committee (HEC24526). The study will be published in a peer-reviewed journal, and findings will be presented at conferences, workshops and online events.