Smarter Safer Homes Solution to Support Older People Living in Their Own Homes through Enhanced Care Models: Methodologies for a Stratified Randomized Controlled Trial (Preprint)

semanticscholar(2021)

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摘要
BACKGROUND An ageing population, accompanied by the prevalence of age-related diseases, present significant burden to health systems. This is exacerbated by an increasing shortage of aged care staff due to existing workforce entering their retirement and fewer young people being attracted to work in aged care. In line with consumer preferences and potential cost-efficiencies, government and aged care providers are increasingly seeking options to move care and support to the community or home, as opposed to residential care facilities. However, compared to residential care, home environments may provide limited opportunity for monitoring patients progression/decline in functioning and therefore limited opportunity to provide timely intervention. To address this, the Smarter Safer Homes (SSH) platform was designed to enable self-monitoring and/or management, and to provide aged care providers with support to deliver their services. The platform uses open Internet of Things (IoT) communication protocols to easily incorporate commercially available sensors into the system. OBJECTIVE Our research aims to detail the benefits of utilising the SSH platform as a service in its own right as well as a complimentary service to more traditional/historical service offerings in aged care. It is anticipated to validate the capacity and benefits of the SSH platform to enable older people to self-manage, and aged care service providers to support their clients to live functionally and independently in their own home, for as long as possible. METHODS A single-blinded, stratified, 12-month randomized controlled trial with participants recruited from three aged care providers, in Queensland, Australia. The study aimed to recruit 200 people, including 145 people from metropolitan- and 55 from regional areas. Participants were randomised to the intervention group (having SSH platform installed to assist age care service providers to monitor and provide timely supports) and the control group (receiving their usual aged care services from providers). Data on community care, health and social related quality of life, health service utilization, care giver burden and user experience of both groups were collected at the start, the middle (6 month) and the end of the trial (12 month). RESULTS The trial recruited its first participant in April 2019, and finished data collection of the last participant in November 2020. The study also received participants’ health service data from government data resources in June 2021. CONCLUSIONS A crisis is looming to support the ageing population. Digital solutions, such as the SSH platform, has the potential to address this crisis and support aged care in the home and community. The outcomes of this study could improve and support the delivery of aged care services and provide better quality of life to older Australians in various geographical locations. CLINICALTRIAL Australian New Zealand Clinical Trials Registry (ANZCTR) - ACTRN12618000829213
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