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BMJ Open ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. e057247
Author(s):  
Maria C Inacio ◽  
Robert N Jorissen ◽  
Steve Wesselingh ◽  
Janet K Sluggett ◽  
Craig Whitehead ◽  
...  

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.


2021 ◽  
Vol 38 (3) ◽  
Author(s):  
Natalia Krzyzaniak ◽  
Anna Mae Scott ◽  
Mina Bakhit ◽  
Ann Bryant ◽  
Marianne Taylor ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Luke Testa ◽  
Tayhla Ryder ◽  
Jeffrey Braithwaite ◽  
Rebecca J. Mitchell

Abstract Background An existing hospital avoidance program, the Aged Care Rapid Response Team (ARRT), rapidly delivers geriatric outreach services to acutely unwell or older people with declining health at risk of hospitalisation. The aim of the current study was to explore health professionals’ perspectives on the factors impacting ARRT utilisation in the care of acutely unwell residential aged care facility residents. Methods Semi-structured interviews were conducted with two Geriatricians, two ARRT Clinical Nurse Consultants, an ED-based Clinical Nurse Specialist, and an Extended Care Paramedic. Interview questions elicited views on key factors regarding care decisions and care transitions for acutely unwell residential aged care facility residents. Thematic analysis was undertaken to identify themes and sub-themes from interviews. Results Analysis of interviews identified five overarching themes affecting ARRT utilisation in the care of acutely unwell residents: (1) resident care needs; (2) family factors; (3) enabling factors; (4) barriers; and (5) adaptability and responsiveness to the COVID-19 pandemic. Conclusion Various factors impact on hospital avoidance program utilisation in the care of acutely unwell older aged care facility residents. This information provides additional context to existing quantitative evaluations of hospital avoidance programs, as well as informing the design of future hospital avoidance programs.


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