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Aims: Polypharmacy serves as a quality indicator in residential aged care facilities (RACFs) due to concerns about inappropriate medication use. However, aggregated polypharmacy rates at a single time offer limited value. Longitudinal analysis of polypharmacy patterns provides valuable insights into identifying potential overuse of medicines. We aimed to determine long‐term trajectories of polypharmacy (≥9 medicines) and factors associated with each polypharmacy trajectory group. Methods: This was a longitudinal cohort study using electronic data from 30 RACFs in New South Wales, Australia. We conducted group‐based trajectory modelling to identify and characterize polypharmacy trajectories over 3 years. We evaluated the model fitness using the Bayesian Information Criterion, entropy (with a value of ≥0.8 considered ideal) and several other metrics. Results: The study included 2837 permanent residents (median age = 86 years, 61.7% female and 47.4% had dementia). We identified five polypharmacy trajectory groups: group 1 (no polypharmacy, 46.0%); group 2 (increasing polypharmacy, 9.4%); group 3 (decreasing polypharmacy, 9.2%); group 4 (increasing‐then decreasing polypharmacy, 10.0%), and group 5 (persistent polypharmacy, 25.4%). The model showed excellent performance (e.g., entropy = 0.9). Multinomial logistic regressions revealed the profile of each trajectory group (e.g., group 5 residents had higher odds of chronic respiratory disease compared with group 1). Conclusions: Our study identified five polypharmacy trajectory groups, including one with over a quarter of residents following a persistently high trajectory, signalling concerning medication overuse. Quality indicator programs should adopt tailored metrics to monitor diverse polypharmacy trajectory groups, moving beyond the current one‐size‐fits‐all approach and better capturing the evolving dynamics of residents' medication regimens. [ABSTRACT FROM AUTHOR]

Objective: Existing studies have highlighted suboptimal diabetes management in residential aged care facilities (RACFs). However, understanding of diabetes management in Australian metropolitan RACFs has been limited. This retrospective cohort study aimed to explore the pharmacological management of diabetes in 25 RACFs in Sydney Australia and assess concordance with clinical practice guidelines (CPGs). Methods: Data from 231 permanent RACF residents aged ≥65 years and over with type 2 diabetes mellitus over the period from 1 July 2016 to 31 December 2019 were used. Concordance was measured by assessing the medications and medical history data for each individual resident for concordance with evidence‐based CPGs. Multivariable logistic regression was used to estimate the effect of resident characteristics on concordance with CPGs. Results: Of the 231 residents with diabetes, 87 (38%) were not taking any antidiabetic medication. Pharmacological management inconsistent with CPG recommendations was observed for 73 (32%) residents, with the most common reason for non‐concordance being the use of medications with significant adverse effects in older adults (47, 2%). Residents with hypertension or other heart diseases in addition to their diabetes had greater odds of their diabetes management being non‐concordant with CPGs (OR = 2.84 95% CI = 1.54, 5.3 and OR = 2.64, 95% CI = 1.07, 6.41, respectively). Conclusions: Pharmacological diabetes management in metropolitan Australian RACFs is suboptimal, with a high prevalence of inconsistency with CPGs (32%) observed. Additionally, having hypertension or heart diseases significantly increased the possibility of non‐concordance among diabetic RACF residents. Further investigation into the underlying relationships with comorbidities is required to develop better strategies. [ABSTRACT FROM AUTHOR]

Introduction: Exploring health consumer preferences in care is an essential foundational, and ongoing activity, when designing and delivering models of care. We undertook a study to explore: (i) what allied health (AH) services are most important to health consumers and (ii) how health consumers expect to access these services in residential aged care (RAC) to determine consumer priorities in future AH models of care in RAC. Methods: A mixed method study was conducted with aged care residents and community members (friends or family of residents/people who believe they may use RAC services). The study comprised two focus‐group activities where participants were asked to (1) rank the AH services most important to them and then (2) categorise how they would prefer to access each AH service. Focus group members used card sort methods (Q‐methodology) to aid prioritisation, categorisation and discussion. Card sorting data were analysed using inverted factor analysis and descriptive statistics. Qualitative focus group data were deductively coded using a coding structure created by the research team informed by quantitative results. Results: Data were collected from 16 participants who formed five focus groups in a community forum. The analysis revealed three factors, that represented shared meaning amongst groups of participants (viewpoints) regarding prioritisation of AH services: 'Prioritising urgent needs', 'Prioritising long‐term healthy habits and lifestyle', and 'Prioritising social well‐being'. Data from the card sort activity, which related to 'how health consumers expect to access AH services', were also categorised into three categories: 'It is always provided', 'A professional will assess my need' and 'I or my family will ask for this service if I need it'. Participants wanted most AH services to be provided regularly, with some such as 'Exercise and rehabilitation' and 'Meaningful activity' to be provided up to one hour every day. Conclusion: Consumers value a range of AH services and have an expectation that these will be provided in RAC on a regular basis. To ensure consumers make informed preferences regarding the future of services in RAC, health systems need to trial innovative AH models of care and embed consumer evaluation. [ABSTRACT FROM AUTHOR]

Background Polypharmacy is frequently used as a quality indicator for older adults in Residential Aged Care Facilities (RACFs) and is measured using a range of definitions. The impact of data source choice on polypharmacy rates and the implications for monitoring and benchmarking remain unclear. We aimed to determine polypharmacy rates (>9 concurrent medicines) by using prescribed and administered data under various scenarios, leveraging electronic data from 30 RACFs. Method A longitudinal cohort study of 5662 residents in New South Wales, Australia. Both prescribed and administered polypharmacy rates were calculated biweekly from January 2019 to September 2022, providing 156 assessment times. 12 different polypharmacy rates were computed separately using prescribing and administration data and incorporating different combinations of items: medicines and non-medicinal products, any medicines and regular medicines across four scenarios: no, 1-week, 2-week and 4-week look-back periods. Generalised estimating equation models were employed to identify predictors of discrepancies between prescribed and administered polypharmacy. Results Polypharmacy rates among residents ranged from 33.9% using data on administered regular medicines with no look-back period to 63.5% using prescribed medicines and non-medicinal products with a 4-week look-back period. At each assessment time, the differences between prescribed and administered polypharmacy rates were consistently more than 10.0%, 4.5%, 3.5% and 3.0%, respectively, with no, 1-week, 2-week and 4-week look-back periods. Diabetic residents faced over two times the likelihood of polypharmacy discrepancies compared with counterparts, while dementia residents consistently showed reduced likelihood across all analyses. Conclusion We found notable discrepancies between polypharmacy rates for prescribed and administered medicines. We recommend a review of the guidance for calculating and interpreting polypharmacy for national quality indicator programmes to ensure consistent measurement and meaningful reporting. [ABSTRACT FROM AUTHOR]

Aim: Cardiovascular diseases are the leading cause of death globally. Ensuring ongoing use of medicines—medication persistence—is crucial, yet no prior studies have examined this in residential aged care facilities (RACFs). We aimed to identify long‐term trajectories of persistence with cardiovascular medicines and determine predictors of persistence trajectories. Method: A longitudinal cohort study of 2837 newly admitted permanent residents from 30 RACFs in New South Wales, Australia. We monitored weekly exposure to six cardiovascular medicine classes—lipid modifiers, angiotensin‐converting enzyme inhibitors/angiotensin receptor blockers (ACEI/ARBs), beta‐blockers, diuretics, calcium channel blockers (CCB), and cardiac therapy—over 3 years. Group‐based trajectory modeling was employed to determine persistence trajectories for each class. Results: At baseline, 76.6% (n = 2172) received at least one cardiovascular medicine with 41.2% receiving lipid modifiers, 31.4% ACEI/ARBs, 30.2% beta‐blockers, 24.4% diuretics, 18.7% CCBs, and 14.8% cardiac therapy. The model identified two persistence trajectories for CCBs and three trajectories for all other classes. Sustained high persistence rates ranged from 68.4% (ACEI/ARBs) to 79.8% (beta‐blockers) while early decline in persistence and subsequent discontinuation rates ranged from 7.6% (cardiac therapy) to 25.3% (CCBs). Logistic regressions identified 11 predictors of a declining persistence across the six medicine classes. Conclusion: Our study revealed varied patterns of cardiovascular medicine use in RACFs, with 2–3 distinctive medicine use trajectories across different classes, each exhibiting a unique clinical profile, and up to a quarter of residents discontinuing a medicine class. Future studies should explore the underlying reasons and appropriateness of nonpersistence to aid in identifying areas for improvement. [ABSTRACT FROM AUTHOR]

Background Benchmark is an important aspect of quality measurement and evaluation of long-term care services (LTCS) performance. In this study, we aimed to estimate achievable benchmarks of care (ABC©) for 12 quality indicators used to monitor the quality of care in Australian LTCS and to identify LTCS characteristics associated with attaining the estimated ABC. Methods A cross-sectional study was conducted using integrated population-based datasets from long-term care, health care, and social welfare sectors within the Registry of Senior Australians (ROSA) National Historical Cohort. All LTCS residents in 2019 were included. Twelve risk-adjusted quality indicators were examined. ABC were defined as the performance level of top-ranked LTCS, including those sequentially from rank 1 onward, until the combined number of residents included at least 10% of all residents nationally. Indicator-specific ABC for 2019 were estimated using Bayesian-adjusted performance fraction ranking. Logistic regressions estimated LTCS characteristics associated with ABC attainment. Results 2746 LTCS and 244 419 residents (≥65 years) between 1 January 2019 and 31 December 2019 were included. The cohort was mostly female (65%), with a median age of 86 years, and 56% had dementia. The ABC provide performance targets based on the observed levels of top-performing LTCS. The ABC for premature mortality (0.007%), weight loss hospitalizations (0.1%), pressure injuries (0.2%), delirium and dementia hospitalizations (0.2%), and medication-related adverse events (0.4%) were lower than 1% and attained by 17–59% of LTCS. The ABC for fractures (1.3%), falls (3.9%), and emergency department presentations (5.1%) were between 1 and 5% and attained by 7–11% of LTCS. The ABC for antipsychotic use (10.5%), chronic opioid use (12.6%), high sedative load exposure (26.8%), and antibiotic use (47.8%) were between 10 and 50% and met by 6–7% of LTCS. Smaller LTCS and government-owned LTCS were more likely to achieve the ABC compared to medium, larger, private, and not-for-profit LTCS. Conclusion This is the first national estimation of ABC for Australian LTCS, identifying real-world examples of LTCS with relatively better national performance. The ABC are realistic goals for LTCS improvement efforts. They can be leveraged as national standards in quality monitoring reports and incentive programs. Smaller and government LTCS were generally more likely to attain ABC. [ABSTRACT FROM AUTHOR]

Objectives Falls pose a significant challenge in residential aged care facilities (RACFs). Existing falls prediction tools perform poorly and fail to capture evolving risk factors. We aimed to develop and internally validate dynamic fall risk prediction models and create point-based scoring systems for residents with and without dementia. Materials and methods A longitudinal cohort study using electronic data from 27 RACFs in Sydney, Australia. The study included 5492 permanent residents, with a 70%-30% split for training and validation. The outcome measure was the incidence of falls. We tracked residents for 60 months, using monthly landmarks with 1-month prediction windows. We employed landmarking dynamic prediction for model development, a time-dependent area under receiver operating characteristics curve (AUROCC) for model evaluations, and a regression coefficient approach to create point-based scoring systems. Results The model identified 15 independent predictors of falls in dementia and 12 in nondementia cohorts. Falls history was the key predictor of subsequent falls in both dementia (HR 4.75, 95% CI, 4.45-5.06) and nondementia cohorts (HR 4.20, 95% CI, 3.87-4.57). The AUROCC across landmarks ranged from 0.67 to 0.87 for dementia and from 0.66 to 0.86 for nondementia cohorts but generally remained between 0.75 and 0.85 in both cohorts. The total point risk score ranged from −2 to 57 for dementia and 0 to 52 for nondementia cohorts. Discussion Our novel risk prediction models and scoring systems provide timely person-centered information for continuous monitoring of fall risk in RACFs. Conclusion Embedding these tools within electronic health records could facilitate the implementation of targeted proactive interventions to prevent falls. [ABSTRACT FROM AUTHOR]

Objective: Hospitalisations are an important indicator of safety and quality of care in residential aged care facilities (RACFs). This study aimed to investigate changes in hospital use 12 months before and 12 months after RACF entry using routinely collected data from 25 Australian RACFs. Methods: This was a retrospective longitudinal cohort study using linked aged care provider and hospital record data. The sample comprised 1029 residents living in an aged care facility between July 2014 and December 2019 who had stayed a minimum of 12 months in an RACF. The outcome measures were all‐cause hospitalisations and fall‐related hospitalisations. We applied an interrupted time series analysis using segmented regression to examine changes in both outcome measures over time. Stratified analyses were conducted by gender and dementia status. Results: The rate of all‐cause hospitalisations increased dramatically over the 12 months before RACF entry, from 97 per 1000 residents per month 12 months prior to RACF admission to 303 per 1000 residents at the second month prior to RACF entry. All‐cause hospitalisations then decreased considerably to 55 per 1000 residents upon RACF admission and stabilised across the next 12 months. Such trajectories were also observed in fall‐related hospitalisations and were consistent for gender and dementia status. Conclusions: In this study, hospitalisation rates decreased significantly after RACF entry, and such reductions were maintained for residents who stayed for 12 months in RACFs. Multiple hospital admissions are likely to precipitate entry into RACF. Additional investigation of how community‐based services can be successful in reducing the escalating hospitalisations is needed. [ABSTRACT FROM AUTHOR]

Objectives. Industry reports suggest that routine and essential care in Australian residential aged care (RAC), including allied health (AH) services, were disrupted during the coronavirus diseas 2019 (COVID-19) pandemic. This study aimed to explore whether AH services in RAC were paused during the pandemic, factors associated with a pause in care delivery, and qualitative details on how COVID-19 impacted AH service delivery. Methods. A 26-question survey was distributed via social media, health service providers, and AH networks between February and April 2022. Participation was restricted to AH professionals and assistants with experience in RAC during the pandemic. A mix of closed and open-ended response questions was used to collect demographic data and experiences of delivering care during the pandemic. Quantitative responses were analysed with descriptive statistics and a probit model. Content analysis was performed on open-ended questions. Results. One hundred and four AH professionals and assistants responded to the survey. Fifty-five percent of participants (n = 51) were contractually or casually employed. AH services were negatively impacted by the pandemic with 52% of respondents experiencing a pause in service delivery and 78% reporting poorer AH care quality. In a probit model, contracted/casually employed respondents were more likely to experience a pause in care delivery (1.03, P < 0.05) compared to permanently employed AH professionals. Conclusion. Insecure work arrangements may have exacerbated inconsistent care during the pandemic (impacting residents) and may have negative implications on the RAC AH workforce. In the future, an AH inclusive workforce policy including data collection and research is required to monitor and plan the RAC workforce. [ABSTRACT FROM AUTHOR]

In the residential aged care sector medication management has been identified as a major area of concern contributing to poor outcomes and quality of life for residents. Monitoring medication management in residential aged care in Australia has been highly reliant on small, internal audits. The introduction of electronic medication administration systems provides new opportunities to establish improved methods for ongoing, timely and efficient monitoring of a range of medication indicators, made more meaningful by linking medication data with resident characteristics and outcomes. Benchmarking contemporary medication indicators provides a further opportunity for improvement and is most effective when indicator data are adjusted to take account of confounding factors, such as residents' characteristics and health conditions. Roundtables provide a structure for sharing and discussing indicator data in a trusted and supportive environment and encourage the identification of strategies which may be effective in improving medication management. This paper describes a new project to establish, implement and evaluate a National Aged Care Medication Roundtable. [ABSTRACT FROM AUTHOR]

The onset of the coronavirus disease 2019 (COVID-19) pandemic, caused by SARS-CoV-2, and the ensuing implementation of response measures directly impacted the delivery of Australian primary care services. Understanding how these measures affected practice activity is important for gauging both their effectiveness and implications for future service planning. During the first 2 years of the COVID-19 pandemic, a research project was undertaken to determine the impact of the pandemic on Australian general practice activity as a collaborative undertaking between researchers, general practitioners, data custodians, and five primary health networks from New South Wales and Victoria, Australia. The project methodology was based on an established research approach called action research, which involves participatory involvement from key stakeholders throughout the research process. The strength and success of the project's methodological approach stemmed from the synergistic interrelationship between the four key elements of: collaboration, repeated action research cycles (utilising electronic general practice data), engaged governance, and the production and dissemination of apposite knowledge outcomes. The project approach, knowledge outputs and lessons learned can be adapted to future research undertakings across any primary care setting and highlight the utility of action research and interdisciplinary research collaboration to produce knowledge directly relevant to clinical practice. The COVID-19 pandemic directly impacted the delivery of primary care services. We detail a research project framework used during the first 2 years of the COVID-19 pandemic to understand how general practice activity was impacted by the pandemic. The knowledge outputs and lessons learned can be adapted to future research undertakings across any primary care setting and highlight the utility of action research and interdisciplinary research collaboration to produce knowledge directly relevant to clinical practice. [ABSTRACT FROM AUTHOR]