Abstract
ObjectivesTo: (1) examine the 90-day incidence of unplanned hospitalisation and emergency department (ED) presentations after residential aged care facility (RACF) entry, (2) examine individual-related, facility-related, medication-related, system-related and healthcare-related predictors of these outcomes and (3) create individual risk profiles.DesignRetrospective cohort study using the Registry of Senior Australians. Fine-Gray models estimated subdistribution HRs and 95% CIs. Harrell’s C-index assessed risk models’ predictive ability.Setting and participantsIndividuals aged ≥65 years old entering a RACF as permanent residents in three Australian states between 1 January 2013 and 31 December 2016 (N=116 192 individuals in 1967 RACFs).Predictors examinedIndividual-related, facility-related, medication-related, system and healthcare-related predictors ascertained at assessments or within 90 days, 6 months or 1 year prior to RACF entry.Outcome measures90-day unplanned hospitalisation and ED presentation post-RACF entry.ResultsThe cohort median age was 85 years old (IQR 80–89), 62% (N=71 861) were women, and 50.5% (N=58 714) had dementia. The 90-day incidence of unplanned hospitalisations was 18.0% (N=20 919) and 22.6% (N=26 242) had ED presentations. There were 34 predictors of unplanned hospitalisations and 34 predictors of ED presentations identified, 27 common to both outcomes and 7 were unique to each. The hospitalisation and ED presentation models out-of-sample Harrell’s C-index was 0.664 (95% CI 0.657 to 0.672) and 0.655 (95% CI 0.648 to 0.662), respectively. Some common predictors of high risk of unplanned hospitalisation and ED presentations included: being a man, age, delirium history, higher activity of daily living, behavioural and complex care needs, as well as history, number and recency of healthcare use (including hospital, general practitioners attendances), experience of a high sedative load and several medications.ConclusionsWithin 90 days of RACF entry, 18.0% of individuals had unplanned hospitalisations and 22.6% had ED presentations. Several predictors, including modifiable factors, were identified at the time of care entry. This is an actionable period for targeting individuals at risk of hospitalisations.
Funder
Hospital Research Foundation Mid-Career Fellowship
Australian Government, Medical Research Future Fund
National Health and Medical Research Council
Reference45 articles.
1. Organisation for Economic Co-operation and Development . OECD STAT. long-term care resources and utilisation. long-term care recipients. Available: https://stats.oecd.org/Index.aspx?QueryId=30142
2. Trends in the utilisation of aged care services in Australia, 2008-2016;Khadka;BMC Geriatr,2019
3. Australian Government . Department of health. 2019-20 report on the operation of the aged care act, 1997. Available: https://www.gen-agedcaredata.gov.au/resources/reports-and-publications/2020/november/2019%E2%80%9320-report-on-the-operation-of-the-aged-care-a
4. Australian Government . Australian Institute of Health and Welfare. Australia’s health 2016. 2.1 How does Australia’s health system work? Available: https://www.aihw.gov.au/getmedia/f2ae1191-bbf2-47b6-a9d4-1b2ca65553a1/ah16-2-1-how-does-australias-health-system-work.pdf.aspx
5. Health status and healthcare trends of individuals accessing Australian aged care programmes over a decade: the registry of senior Australians historical cohort;Inacio;Intern Med J,2021
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