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Background: Better adherence to guideline-recommended glycated haemoglobin A1c (HbA1c) testing frequency is associated with better glycaemic control and lower risk of complications such as chronic kidney disease in patients with type 2 diabetes. This study investigates patient and practice factors associated with adherence to guideline-recommended HbA1c testing frequency. Methods: A cohort of type 2 diabetes patients who regularly visited general practices from 2012 to 2018 was identified from 225 Australian general practices. With the goal of ≤53 mmol/mol, Australian guidelines recommend HbA1c testing at least 6-monthly. Patient history of HbA1c tests from 2017 to 2018 was used to define adherence to guidelines, and the associations with patient and practice factors were examined by regression models. Results: Of the 6881 patients, 2186 patients (31.8%) had 6-monthly HbA1c testing. Patient age and anti-diabetic medications were associated with adherence to 6-monthly testing. When financial incentives are available to practices, a larger practice was associated with better adherence to 6-monthly testing. Conclusions: The identified key factors such as age, practice size, medication, and incentive payments can be used to target initiatives aimed at improving guideline-recommended monitoring care for patients with type 2 diabetes to enhance their health outcomes. One of the challenges in type 2 diabetes management is to maintain the consistent and regular monitoring care, which may be impacted by various factors. This study investigated factors associated with adherence to clinical guidelines on HbA1c testing frequency and identified key factors such as age, practice size, medication, and incentive payments. The findings can potentially be translated into the initiation of more efficient strategies and policies to improve diabetes monitoring care, and ultimately patient outcomes for diabetes patients. [ABSTRACT FROM AUTHOR]

Objective: Adverse incident research within residential aged care facilities (RACFs) is increasing and there is growing awareness of safety and quality issues. However, large-scale evidence identifying specific areas of need and at-risk residents is lacking. This study used routinely collected incident management system data to quantify the types and rates of adverse incidents experienced by residents of RACFs. Methods: A concurrent mixed-methods design was used to examine 3 years of incident management report data from 72 RACFs in New South Wales and the Australian Capital Territory. Qualitative thematic analysis of free-text incident descriptions was undertaken to group adverse incidents into categories. The rates and types of adverse incidents based on these categories were calculated and then compared using incidence rate ratios (IRRs). Results: Deidentified records of 11 987 permanent residents (aged ≥65 years; mean (±s.d.) age 84 ± 8 years) from the facilities were included. Of the 60 268 adverse incidents, falls were the most common event (36%), followed by behaviour-related events (33%), other impacts and injuries (22%) and medication errors (9%). The number of adverse incidents per resident ranged from 0 (42%) to 171, with a median of 2. Women (IRR 0.804; P < 0.001) and residents with low care needs (IRR 0.652; P < 0.001) were significantly less likely to adverse incidents compared with men and residents with high care needs respectively. Conclusion: This study demonstrates that data already collected within electronic management systems can provide crucial baseline information about the risk levels that adverse incidents pose to older Australians living in RACFs. What is known about the topic?: To date, research into aged care adverse incidents has typically focused on single incident types in small studies involving mitigation strategies. Little has been published quantifying the multiple adverse incidents experienced by residents of aged care facilities or reporting organisation-wide rates of adverse incidents. What does this paper add?: This paper adds to the growing breadth of Australian aged care research by providing baseline information on the rates and types of adverse incidents in RACFs across a large and representative provider. What are the implications for practitioners?: This research demonstrates that the wealth of data captured by aged care facilities' incident management information systems can be used to provide insight into areas of commonly occurring adverse incidents. Better use of this information could greatly enhance strategic planning of quality improvement activities and the care provided to residents. [ABSTRACT FROM AUTHOR]

Objective. Government expenditure on and the number of aged care facilities in Australia have increased consistently since 1995. As a result, a range of aged care policy changes have been implemented. Data on demographics and utilisation are important in determining the effects of policy on residential aged care services. Yet, there are surprisingly few statistical summaries in the peer-reviewed literature on the profile of Australian aged care residents or trends in service utilisation. Therefore, the aim of the present study was to characterise the demographic profile and utilisation of a large cohort of residential aged care residents, including trends over a 3-year period. Methods. We collected 3 years of data (2011-14) from 77 residential aged care facilities and assessed trends and differences across five demographic and three service utilisation variables. Results. The median age at admission over the 3-year period remained constant at 86 years. There were statistically significant decreases in separations to home (z = 2.62, P = 0.009) and a 1.35% increase in low care admissions. Widowed females made up the majority (44.75%) of permanent residents, were the oldest and had the longest lengths of stay. One-third of permanent residents had resided in aged care for 3 years or longer. Approximately 30% of residents were not born in Australia. Aboriginal residents made up less than 1% of the studied population, were younger and had shorter stays than non-Aboriginal residents. Conclusion. The analyses revealed a clear demographic profile and consistent pattern of utilisation of aged care facilities. There have been several changes in aged care policy over the decades. The analyses outlined herein illustrate how community, health services and public health data can be used to inform policy, monitor progress and assess whether intended policy has had the desired effects on aged care services. [ABSTRACT FROM AUTHOR]