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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]

Background: People who live in aged care homes have high rates of illness and frailty. Providing evidence-based care to this population is vital to ensure the highest possible quality of life.Objective: In this study (CareTrack Aged, CT Aged), we aimed to develop a comprehensive set of clinical indicators for guideline-adherent, appropriate care of commonly managed conditions and processes in aged care.Methods: Indicators were formulated from recommendations found through systematic searches of Australian and international clinical practice guidelines (CPGs). Experts reviewed the indicators using a multiround modified Delphi process to develop a consensus on what constitutes appropriate care.Results: From 139 CPGs, 5609 recommendations were used to draft 630 indicators. Clinical experts (n = 41) reviewed the indicators over two rounds. A final set of 236 indicators resulted, mapped to 16 conditions and processes of care. The conditions and processes were admission assessment; bladder and bowel problems; cognitive impairment; depression; dysphagia and aspiration; end of life/palliative care; hearing and vision; infection; medication; mobility and falls; nutrition and hydration; oral and dental care; pain; restraint use; skin integrity and sleep.Conclusions: The suite of CT Aged clinical indicators can be used for research and assessment of the quality of care in individual facilities and across organizations to guide improvement and to supplement regulation or accreditation of the aged care sector. They are a step forward for Australian and international aged care sectors, helping to improve transparency so that the level of care delivered to aged care consumers can be rigorously monitored and continuously improved. [ABSTRACT FROM AUTHOR]

Background: The number of older Australians using aged care services is increasing, yet there is an absence of reliable data on their health. Multimorbidity in this population has not been well described. A clear picture of the health status of people using aged care is essential for informing health practice and policy to support evidence-based, equitable, high-quality care. Our objective was to describe the health status of older Australians living in residential aged care facilities (RACFs) and develop a model for monitoring health conditions using data from electronic health record systems. Methods: Using a dynamic retrospective cohort of 9436 RACF residents living in 68 RACFs in New South Wales and the Australian Capital Territory from 2014 to 2017, we developed an algorithm to identify residents' conditions using aged care funding assessments, medications administered, and clinical notes from their facility electronic health record (EHR). We generated age- and sex-specific prevalence estimates for 60 health conditions. Agreement between conditions recorded in aged care funding assessments and those documented in residents' EHRs was evaluated using Cohen's kappa. Cluster analysis was used to describe combinations of health conditions (multimorbidity) occurring among residents. Results: Using all data sources, 93% of residents had some form of circulatory disease, with hypertension the most common (62%). Most residents (93%) had a mental or behavioural disorder, including dementia (58%) or depression (54%). For most conditions, EHR data identified approximately twice the number of people with the condition compared to aged care funding assessments. Agreement between data sources was highest for multiple sclerosis, Huntington's disease, and dementia. The cluster analysis identified seven groups with distinct combinations of health conditions and demographic characteristics and found that the most complex cluster represented a group of residents that had on average the longest lengths of stay in residential care. Conclusions: The prevalence of many health conditions among RACF residents in Australia is underestimated in previous reports. Aged care EHR data have the potential to be used to better understand the complex health needs of this vulnerable population and can help fill the information gaps needed for population health surveillance and quality monitoring. [ABSTRACT FROM AUTHOR]