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COVID-19 has demonstrated the devastating consequences of the rapid spread of an airborne virus in residential aged care. We report the use of CO2-based ventilation assessment to empirically identify potential 'super-spreader' zones within an aged care facility, and determine the efficacy of rapidly implemented, inexpensive, risk reduction measures. [ABSTRACT FROM AUTHOR]

Objective: To quantify incidence, trends and outcomes associated with lower respiratory viral infection (LRVI) hospitalisations in Australian residential aged care facilities (RACFs). Methods: A population‐based cohort study of residents in RACFs aged ≥65 years from New South Wales (NSW), South Australia (SA) and Victoria (VIC) using data from the Registry of Senior Australians (2013‐2016) was conducted. Age‐ and sex‐standardised monthly and yearly LRVI hospitalisation incidences were calculated, and time trends and risk factors were assessed. Results: Of 268 657 residents included over the study period, 12% had ≥1 LRVI hospitalisation. Average annual incidence/1000 residents was 7.1 [6.9‐7.2] in 2013, increasing to 7.8 [7.7‐8.1] in 2016. Males, increasing co‐morbidity, presence of CHF, respiratory disease and hypertension had a higher incidence of LRVI hospitalisation. In‐hospital mortality was 14%. Within 30 days following discharge, 15% died and 8% were readmitted. Conclusions: Prior to COVID‐19, incidence of hospitalisation for LRVI in Australia's residential aged care population was increasing and was associated with significant morbidity and mortality. [ABSTRACT FROM AUTHOR]

Background: Otitis media (OM) is a major disease burden in Australian Aboriginal children, contributing to serious long-term health outcomes. We report a pilot analysis of OM in children attending an outreach ear and hearing clinic in a remote south Australian community over a two-year period. Our study focuses on longitudinal relationships between ear canal microbiota characteristics with nasopharyngeal microbiota, and clinical and treatment variables. Results: Middle ear health status were assessed in 19 children (aged 3 months to 8 years) presenting in remote western South Australia and medical interventions were recorded. Over the two-year study period, chronic suppurative OM was diagnosed at least once in 7 children (37%), acute OM with perforation in 4 children (21%), OM with effusion in 11 children (58%), while only 1 child had no ear disease. Microbiota analysis of 19 children (51 sets of left and right ear canal swabs and nasopharyngeal swabs) revealed a core group of bacterial taxa that included Corynebacterium, Alloiococcus, Staphylococcus, Haemophilus, Turicella, Streptococcus, and Pseudomonas. Within-subject microbiota similarity (between ears) was significantly greater than inter-subject similarity, regardless of differences in ear disease (p = 0.0006). Longitudinal analysis revealed changes in diagnosis to be associated with more pronounced changes in microbiota characteristics, irrespective of time interval. Ear microbiota characteristics differed significantly according to diagnosis (P (perm) = 0.0001). Diagnoses featuring inflammation with tympanic membrane perforation clustering separately to those in which the tympanic membrane was intact, and characterised by increased Proteobacteria, particularly Haemophilus influenzae, Moraxella catarrhalis, and Oligella. While nasopharyngeal microbiota differed significantly in composition to ear microbiota (P (perm) = 0.0001), inter-site similarity was significantly greater in subjects with perforated tympanic membranes, a relationship that was associated with the relative abundance of H. influenzae in ear samples (rs = − 0.71, p = 0.0003). Longitudinal changes in ear microbiology reflected changes in clinical signs and treatment. Conclusions: Children attending the ear and hearing clinic in a remote Aboriginal community present with a broad spectrum of OM conditions and severities, consistent with other remote Aboriginal communities. Ear microbiota characteristics align with OM diagnosis and change with disease course. Nasopharyngeal microbiota characteristics are consistent with the contribution of acute upper respiratory infection to OM aetiology. [ABSTRACT FROM AUTHOR]

Background: Quality practice of consumer engagement is still in its infancy in many sectors of medical research. The South Australian Health and Medical Research Institute (SAHMRI) identified, early in its development, the opportunity to integrate evidence-driven consumer and community engagement into its operations.Process: SAHMRI partnered with Health Consumers Alliance and consumers in evidence generation. A Partnership Steering Committee of researchers and consumers was formed for the project. An iterative mixed-method qualitative process was used to generate a framework for consumer engagement. This process included a literature review followed by semi-structured interviews with experts in consumer engagement and lead medical researchers, group discussions and a consensus workshop with the Partnership Steering Committee, facilitated by Health Consumer Alliance.Outcomes: The literature revealed a dearth of evidence about effective consumer engagement methodologies. Four organisational dimensions are reported to contribute to success, namely governance, infrastructure, capacity and advocacy. Key themes identified through the stakeholder interviews included sustained leadership, tangible benefits, engagement strategies should be varied, resourcing, a moral dimension, and challenges. The consensus workshop produced a framework and tangible strategies.Conclusion: Comprehensive examples of consumer participation in health and medical research are limited. There are few documented studies of what techniques are effective. This evidence-driven framework, developed in collaboration with consumers, is being integrated in a health and medical research institute with diverse programs of research. This framework is offered as a contribution to the evidence base around meaningful consumer engagement and as a template for other research institutions to utilise. [ABSTRACT FROM AUTHOR]

Objectives: High rates of antibiotic prescription in residential aged care are likely to promote enteric carriage of antibiotic-resistant pathogens and increase the risk of antibiotic treatment failure. Despite their importance, relationships between antibiotic exposures and patterns of enteric resistance carriage in this population remain poorly understood., Methods: We conducted a cross-sectional metagenomic cohort analysis of stool samples from residents of five long-term aged-care facilities in South Australia. Taxonomic composition was determined, and enteric carriage of antibiotic resistance genes (ARGs) was identified and quantified against the Comprehensive Antibiotic Resistance Database. Both the detection and abundance of stool taxa and ARGs were related to antibiotic exposures up to 12 months prior. Factors associated with the abundance of ARGs of high clinical concern were identified., Results: Stool samples were provided by 164 participants (median age: 88 years, IQR 81-93; 72% female). Sixty-one percent (n = 100) of participants were prescribed antibiotics at least once in the prior 12 months (median prescriptions: 4, range: 1-52), most commonly a penicillin (n = 55, 33.5%), cephalosporin (n = 53, 32.3%), diaminopyrimidine (trimethoprim) (n = 36, 22%), or tetracycline (doxycycline) (n = 21, 12.8%). More than 1100 unique ARGs, conferring resistance to 38 antibiotic classes, were identified, including 20 ARGs of high clinical concern. Multivariate logistic regression showed doxycycline exposure to be the greatest risk factor for high ARG abundance (adjusted odds ratio [aOR]=14.8, q<0.001) and a significant contributor to inter-class selection, particularly for ARGs relating to penicillins (aOR=3.1, q=0.0004) and cephalosporins (aOR=3.4, q=0.003). High enteric ARG abundance was associated with the number of separate antibiotic exposures (aOR: 6.4, q<0.001), exposures within the prior 30 days (aOR: 4.6, q=0.008) and prior 30-100 days (aOR: 2.6, q=0.008), high duration of antibiotic exposure (aOR: 7.9, q<0.001), and exposure to 3 or more antibiotic classes (aOR: 7.4, q<0.001). Carriage of one or more ARGs of high clinical concern was identified in 99% of participants (n = 162, median: 3, IQR: 2-4), involving 11 ARGs conferring resistance to aminoglycosides, four to beta-lactams, one to glycopeptides, three to fluoroquinolones, and one to oxazolidinones. Carriage of ARGs of high clinical concern was positively associated with exposure to doxycycline (aminoglycoside, fluoroquinolone, and oxazolidinone ARGs) and trimethoprim (fluoroquinolone and beta-lactam ARGs). Analysis of doxycycline impact on microbiota composition suggested that observed resistome changes arose principally through direct ARG selection, rather than through the antibiotic depletion of sensitive bacterial populations., Conclusions: The gut microbiome of aged care residents is a major reservoir of antibiotic resistance. As a critical antibiotic in medical practice, a comprehensive understanding of the impact of doxycycline exposure on the gut resistome is paramount for informed antibiotic use, particularly in an evolving landscape of prophylactic applications. Near-universal asymptomatic carriage of clinically critical resistance determinants is highly concerning and reinforces the urgent need for improved management of antibiotic use in long-term aged care., Competing Interests: Declaration of Competing Interest The authors declare that they have no competing interests, nor any financial or personal relationships with other people or organisations that could bias this study., (Copyright © 2024 The Author(s). Published by Elsevier Ltd.. All rights reserved.)

Objectives: To examine individual, medication, system, and healthcare related predictors of hospitalization and emergency department (ED) presentation within 90 days of entering the aged care sector, and to create risk-profiles associated with these outcomes., Design and Setting: Retrospective population-based cohort study using data from the Registry of Senior Australians., Participants: Older people (aged 65 and older) with an aged care eligibility assessment in South Australia between January 1, 2013 and May 31, 2016 (N = 22,130)., Measurements: Primary outcomes were unplanned hospitalization and ED presentation within 90 days of assessment. Individual, medication, system, and healthcare related predictors of the outcomes at the time of assessment, within 90 days or 1-year prior. Fine-Gray models were used to calculate subdistribution hazard ratios (sHR) and 95% confidence intervals (CI). Harrell's C-index assessed predictive ability., Results: Four thousand nine-hundred and six (22.2%) individuals were hospitalized and 5028 (22.7%) had an ED presentation within 90 days. Predictors of hospitalization included: being a man (hospitalization sHR = 1.33, 95% CI 1.26-1.42), ≥3 urgent after-hours attendances (hospitalization sHR = 1.21, 95% CI 1.06-1.39), increasing frailty index score (hospitalization sHR = 1.19, 95% CI 1.11-1.28), individuals using glucocorticoids (hospitalization sHR = 1.11, 95% CI 1.02-1.20), sulfonamides (hospitalization sHR = 1.18, 95% CI 1.10-1.27), trimethoprim antibiotics (hospitalization sHR = 1.15, 95% CI 1.03-1.29), unplanned hospitalizations 30 days prior (hospitalization sHR = 1.13, 95% CI 1.04-1.23), and ED presentations 1 year prior (hospitalization sHR = 1.07, 95% CI 1.04-1.10). Similar predictors and hazard estimates were also observed for ED presentations. The hospitalization models out-of-sample predictive ability (C-index = 0.653, 95% CI 0.635-0.670) and ED presentations (C-index = 0.647, 95% CI 0.630-0.663) were moderate., Conclusions: One in five individuals with aged care eligibility assessments had unplanned hospitalizations and/or ED presentation within 90 days with several predictors identified at the time of aged care eligibility assessment. This is an actionable period for targeting at-risk individuals to reduce hospitalizations., (© 2021 The American Geriatrics Society.)

Introduction: Australia's ageing population puts significant demands on the aged care and healthcare sectors. To monitor the provision of aged care and healthcare services to older people, each government body has an individual data collection system. Together these systems can be the basis for creating the evidence necessary to support future allocation of resources for our ageing community. The Registry of Older South Australians (ROSA) is a cross-sector multidisciplinary (ie, aged care and healthcare) platform built to address the challenges of monitoring people in aged care settings. This protocol describes the ROSA's framework and plans., Methods and Analysis: A registry to capture 16 000 South Australians/year undergoing an aged care eligibility assessment was designed. ROSA will contain information captured by the Commonwealth and South Australian state Health Authority, linked by two data integrating authorities, and housed on a secured data platform. ROSA will contain information on the sociodemographic, health, function, psychological, social, home and safety assessment and concerns characteristics, aged care services, general health services, and mortality of people receiving aged care services. Registered participants will be prospectively monitored until their death and yearly updates of their aged care and healthcare services information will be added to the registry., Ethics and Dissemination: ROSA will longitudinally monitor the services provided to a population that puts costly demands on the state healthcare and aged care systems, identify unwanted variation, and underpin future research. ROSA's expected outputs include an annual report, a research agenda that focuses on high burden conditions and potentially economically impactful questions, educational materials, and risk profiling tools. ROSA was approved by the South Australian Department for Health and Ageing HREC (HREC/17/SAH/125) and the Australian Institute of Health and Welfare HREC (EO2018/2/429)., Competing Interests: Competing interests: RV is on the board of Resthaven. KE represents an organisation (Silver Chain) that provides a Regional Assessment Service in South Australia and cares for individuals who have been ACAT Assessed. The remaining authors declare that they have no competing interests., (© Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)

Background: Measuring research impact is of critical interest to philanthropic and government funding agencies interested in ensuring that the research they fund is both scientifically excellent and has meaningful impact into health and other outcomes. The Beat Cancer Project (BCP) is a AUD $34 m cancer research funding scheme that commenced in 2011. It was initiated by an Australian charity (Cancer Council SA), and supported by the South Australian Government and the state's major universities., Methods: This study applied Buxton and Hanney's Payback Framework to assess research impact generated from the BCP after 3 years of funding. Data sources were an audit of peer-reviewed publications from January 2011 to September 2014 from Web of Knowledge and a self-report survey of investigators awarded BCP research funding during its first 3 years of implementation (2011-2013). Of the 104 surveys, 92 (88%) were completed., Results: The BCP performed well across all five categories of the Payback Framework. In terms of knowledge production, 1257 peer-reviewed publications were generated and the mean impact factor of publishing journals increased annually. There were many benefits to future research with 21 respondents (23%) reporting career advancement, and 110 higher degrees obtained or expected (including 84 PhDs). Overall, 52% of funded projects generated tools for future research. The funded research attracted substantial further income yielding a very high rate of leverage. For every AUD $1 that the cancer charity invested, the BCP gained an additional AUD $6.06. Five projects (5%) had informed policy and 5 (5%) informed product development, with an additional 31 (34%) and 35 (38%) projects, respectively, anticipating doing so. In terms of health and sector and broader economic benefits, 8 (9%) projects had influenced practice or behaviour of health staff and 32 (34%) would reportedly to do so in the future., Conclusions: Research impact was a priority of charity and government funders and led to a deliberate funding strategy. Emphasising research impact while maintaining rigorous, competitive processes can achieve the joint objectives of excellence in research, yielding good research impact and a high rate of leverage for philanthropic and public investment, as indicated by these early results.