Mikaela Jorgensen1, Joyce Siette2, Andrew Georgiou2, Andrew Warland3, Johanna Westbrook2. 1. Center for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia. Electronic address: mikaela.jorgensen@mq.edu.au. 2. Center for Health Systems and Safety Research, Australian Institute of Health Innovation, Macquarie University, Sydney, New South Wales, Australia. 3. Uniting, Sydney, New South Wales, Australia.
Abstract
OBJECTIVE: To examine home care service-related and person-based factors associated with time to entry into permanent residential aged care. DESIGN: Longitudinal cohort study using routinely collected client management data. SETTING: A large aged care service provider in New South Wales and the Australian Capital Territory, Australia. PARTICIPANTS: A total of 1116 people aged 60 years and older who commenced home care services for higher-level needs between July 1, 2015 and June 30, 2016. METHODS: Survival analysis methods were used to examine service-related and person-based factors that were associated with time between first home care service and entry into permanent residential aged care. Predictors included service hours per week, combination of service types, demographics, needs, hospital leave, and change in care level. Cluster analysis was used to determine patterns of types of services used. RESULTS: By December 31, 2016, 21.1% of people using home care services had entered into permanent residential care (n = 235). After adjusting for significant factors such as age and care needs, each hour of service received per week was associated with a 6% lower risk of entry into residential care (hazard ratio = 0.94, 95% confidence interval 0.90-0.98). People who were predominant users of social support services, those with an identified carer, and those born in a non-main English-speaking country also remained in their own homes for longer. CONCLUSIONS: Greater volume of home care services was associated with significantly delayed entry into permanent residential care. This study provides much-needed evidence about service outcomes that could be used to inform older adults' care choices. Crown
OBJECTIVE: To examine home care service-related and person-based factors associated with time to entry into permanent residential aged care. DESIGN: Longitudinal cohort study using routinely collected client management data. SETTING: A large aged care service provider in New South Wales and the Australian Capital Territory, Australia. PARTICIPANTS: A total of 1116 people aged 60 years and older who commenced home care services for higher-level needs between July 1, 2015 and June 30, 2016. METHODS: Survival analysis methods were used to examine service-related and person-based factors that were associated with time between first home care service and entry into permanent residential aged care. Predictors included service hours per week, combination of service types, demographics, needs, hospital leave, and change in care level. Cluster analysis was used to determine patterns of types of services used. RESULTS: By December 31, 2016, 21.1% of people using home care services had entered into permanent residential care (n = 235). After adjusting for significant factors such as age and care needs, each hour of service received per week was associated with a 6% lower risk of entry into residential care (hazard ratio = 0.94, 95% confidence interval 0.90-0.98). People who were predominant users of social support services, those with an identified carer, and those born in a non-main English-speaking country also remained in their own homes for longer. CONCLUSIONS: Greater volume of home care services was associated with significantly delayed entry into permanent residential care. This study provides much-needed evidence about service outcomes that could be used to inform older adults' care choices. Crown
Authors: Maria C Inacio; Azmeraw T Amare; Craig Whitehead; Sarah C E Bray; Megan Corlis; Renuka Visvanathan; Steve Wesselingh Journal: Australas J Ageing Date: 2020-01-23 Impact factor: 2.111