Regular antipsychotic use appears to have decreased in residential aged care facilities but benzodiazepine prevalence is higher, particularly in South Australian residential aged care facilities. Sedating antidepressant and 'prn' psychotropic prescribing is widespread. Effective interventions to reduce the continued reliance on psychotropic management, in conjunction with active promotion of non-pharmacological strategies, are urgently required.

Aim To describe sociodemographic characteristics and comorbidities of a large cohort of Australian general practice‐based patients identified as having chronic kidney disease (CKD), using data from National Prescribing Service (NPS) MedicineWise's MedicineInsight dataset, and compare this dataset to the 2011–2012 Australian Health Survey's (AHS) CKD prevalence estimates. Methods This was a cohort study using deidentified, longitudinal, electronic health record data collected from 329 practices and 1 483 416 patients distributed across Australia, from 1 June 2013 until 1 June 2016. Two methods were used to calculate the CKD prevalence. One used the same method as used by the 2011–2012 AHS, based on one estimate of the estimated glomerular filtration rate (eGFR) or albumin/creatinine ratios (ACR). The other defined CKD more rigorously using eGFR or ACR results at least 90 days apart. Results In 2016, of 1 310 602 active patients, 710 674 (54.2%) did not have an eGFR or ACR test, while 524 961 (40.1%) had an eGFR or ACR test but did not meet AHS criteria for CKD. Age–sex adjusted rates of CKD (compared to AHS) were CKD 1–0.45% (3.9%), CKD 2–0.62% (2.5%), CKD 3a: 3.1% (2.7%), CKD 3b: 1.14% (0.6%), CKD 4–5: 0.41% (0.3%). The CKD cohort defined more rigorously using eGFR and ACR measures >90 days apart, had comorbidities of atrial fibrillation (30.5%), cardiovascular disease (25.0%), diabetes mellitus (17.1%) and hypertension (14.8%). Conclusion The MedicineInsight dataset contains valuable and timely information about Australian patients with CKD, and provides prevalence estimates similar to those from AHS data.

Background: Chronic kidney disease (CKD) affects drug elimination and patients with CKD require appropriate adjustment of renally cleared medications to ensure safe and effective pharmacotherapy. The main objective of this study was to determine the extent of potentially inappropriate prescribing (PIP; defined as the use of a contraindicated medication or inappropriately high dose according to the kidney function) of renally-cleared medications commonly prescribed in Australian primary care, based on two measures of kidney function. A secondary aim was to assess agreement between the two measures. Methods: Retrospective analysis of routinely collected de-identified Australian general practice patient data (NPS MedicineWise MedicineInsight from January 1, 2013, to June 1, 2016; collected from 329 general practices). All adults (aged ≥18 years) with CKD presenting to general practices across Australia were included in the analysis. Patients were considered to have CKD if they had two or more estimated glomerular filtration rate (eGFR) recorded values < 60 mL/min/1.73m 2 , and/or two urinary albumin/creatinine ratios ≥3.5 mg/mmol in females (≥2.5 mg/mmol in males) at least 90 days apart. PIP was assessed for 49 commonly prescribed medications using the Cockcroft-Gault (CG) equation/eGFR as per the instructions in the Australian Medicines Handbook. Results: A total of 48,731 patients met the Kidney Health Australia (KHA) definition for CKD and had prescriptions recorded within 90 days of measuring serum creatinine (SCr)/estimated glomerular filtration rate (eGFR). Overall, 28, 729 patients were prescribed one or more of the 49 medications of interest. Approximately 35% (n = 9926) of these patients had at least one PIP based on either the Cockcroft-Gault (CG) equation or eGFR (CKD-EPI; CKD-Epidemiology Collaboration Equation). There was good agreement between CG and eGFR while determining the appropriateness of medications, with approximately 97% of the medications classified as appropriate by eGFR also being considered appropriate by the CG equation. Conclusion: This study highlights that PIP commonly occurs in primary care patients with CKD and the need for further research to understand why and how this can be minimised. The findings also show that the eGFR provides clinicians a potential alternative to the CG formula when estimating kidney function to guide drug appropriateness and dosing.

Transformational leadership (TL) is known to be essential to achieving Magnet® recognition, an internationally prestigious status for nursing care excellence. Since its inception in the 1980s, empirical studies have identified benefits of implementing the Magnet® Model involving improved patient care and nursing workforce outcomes. However, little is known about the leadership styles of nurse managers (NMs) working in a regional Australian context, which may hinder achieving Magnet® status. To close the knowledge gap, a self-administered survey was conducted to measure leadership styles of NMs at a large health organization comprising hospitals with a wide range of service profiles in regional Australia using a validated tool—the Multifactor Leadership Questionnaire (MLQ-6S). One-way of variance (ANOVA) was used to identify statistical significance between respondents’ demographic characteristics (e.g., age, education, gender) and their MLQ-6S scores. Respondents (n = 78) reported their leadership styles as more transformational, compared to transactional or passive/avoidant leadership styles. The findings indicated that NMs’ higher education (p = 0.02) and older age (p = 0.03) were associated with TL styles, whereas passive/avoidant leadership was generally reported by female (p = 0.04) and younger (p = 0.06) respondents. This study has identified differences in reported leadership styles among NMs, providing a unique organizational insight into developing strategies to improve NMs’ TL, which could help to facilitate the implementation of the Magnet® framework. Healthcare organizations in similar settings could benefit from replicating this study to identify a dominant leadership style and customize strategies to improve TL.

Background Up to 40% of incident dementia is considered attributable to behavioral and lifestyle factors. Given the current lack of medical treatments and the projected increase in dementia prevalence, a focus on prevention through risk reduction is needed. Objective We aim to increase dementia risk knowledge and promote changes in dementia risk behaviors at individual and population levels. Methods The Island Study Linking Aging and Neurodegenerative Disease (ISLAND) is a long-term prospective, web-based cohort study with nested interventions that will be conducted over a 10-year period. Target participants (n=10,000) reside in Tasmania and are aged 50 years or over. Survey data on knowledge, attitudes, and behaviors related to modifiable dementia risk factors will be collected annually. After each survey wave, participants will be provided with a personalized dementia risk profile containing guidelines for reducing risk across 9 behavioral and lifestyle domains and with opportunities to engage in educational and behavioral interventions targeting risk reduction. Survey data will be modeled longitudinally with intervention engagement indices, cognitive function indices, and blood-based biomarkers, to measure change in risk over time. Results In the initial 12 months (October 2019 to October 2020), 6410 participants have provided baseline data. The study is ongoing. Conclusions Recruitment targets are feasible and efforts are ongoing to achieve a representative sample. Findings will inform future public health dementia risk reduction initiatives by showing whether, when, and how dementia risk can be lowered through educational and behavioral interventions, delivered in an uncontrolled real-world context. International Registered Report Identifier (IRRID) DERR1-10.2196/34688

Objective. Neurological dysfunction commonly occurs in the upper limb contralateral to the hemisphere of the brain in which stroke occurs; however, the impact of stroke on function of the ipsilesional upper limb is not well understood. This study aims to systematically review the literature relating to the function of the ipsilesional upper limb following stroke and answer the following research question: Is the ipsilesional upper limb affected by stroke? Data Source. A systematic review was carried out in Medline, Embase, and PubMed. Review Methods. All studies investigating the ipsilesional upper limb following stroke were included and analysed for important characteristics. Outcomes were extracted and summarised. Results. This review captured 27 articles that met the inclusion criteria. All studies provided evidence that the ipsilesional upper limb can be affected following stroke. Conclusion. These findings demonstrate that clinicians should consider ipsilesional upper limb deficits in rehabilitation and address this reduced functional capacity. Furthermore, the ipsilesional upper limb should not be used as a “control” measure of recovery for the contralateral upper limb.

Background Potentially preventable hospitalisations (PPH) are a common occurrence. Knowing the factors associated with PPH may allow high‐risk patients to be identified and healthcare resources to be better allocated, and these factors may differ between urban and rural locations. Aim To determine factors associated with PPH in an Australian rural population. Methods A retrospective review of admitted patients' demographic and clinical data was used to describe and model the factors associated with PPH, using an age‐ and sex‐matched control group of non‐admitted patients. This study is based in a multi‐site rural general practice, Tasmania. The study included patients aged ≥18 years residing in the Huon‐Bruny Island region of Tasmania, who were active patients at a rural general practice and were admitted to a public hospital for a PPH between 1 July 2016 and 30 June 2019. Main outcome measure is overnight admission to hospital for a PPH. Results Predictors with a significant odds ratio (OR) in the final model were being single/unmarried (OR 2.43; 95% confidence interval (CI) 1.38–4.28), higher Charlson Comorbidity Index score (OR 1.40; 95% CI 1.13–1.74) and the number of general practice visits in the preceding 12 months (OR 1.09; 95% CI 1.05–1.14). Conclusions This study found that being single and having a higher comorbidity burden were the strongest independent risk factors for PPH in a rural population. Demographic and socioeconomic factors appeared to be as, if not more, important than medical factors and warrant attention when considering the design of programmes to reduce PPH risk in rural communities.

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