
Renuka Visvanathan
Articles
Economic burden of frailty in older adults accessing community‐based aged care services in Australia
Aug 4, 2024 |
onlinelibrary.wiley.com | Barbara Toson |Laura Catherine Edney |Renuka Visvanathan |Jyoti Khadka
Introduction Frailty is defined as a state of increased vulnerability to stressors, arising from a failure of homeostasis culminating in episodic deteriorations in health, leading to important adverse health outcomes, including a loss of independence for the older person (aged 65 or older)1, 2 and morbidity and mortality increments.
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Oct 20, 2023 |
onlinelibrary.wiley.com | Laura C Edney |Renuka Visvanathan |Jonathan Karnon |Barbara Toson
Introduction The number of people aged 65 years and over is increasing, with older people representing over 15% of the Australian population.1 Many require assistance to meet their needs, such as community-based services or admission into an aged care facility,2 with community-based services often preferred.3 To support this, the Australian Government subsidizes a range of community-based aged care services such as home care packages (HCPs) to assist people at home.
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Sep 13, 2023 |
paperity.org | Aubyn Pincombe |Renuka Visvanathan |Jonathan Karnon
PLOS ONE, Aug 2023 Frailty is a biological syndrome that is associated with increased risks of morbidity and mortality. To assess the value of interventions to prevent or manage frailty, all important impacts on costs and outcomes should be estimated. The aim of this study is to describe the development and validation of an individual-based state transition model that predicts the incidence and progression of frailty and frailty-related events over the remaining lifetime of older Australians.
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Aug 24, 2023 |
journals.plos.org | Aubyn Pincombe |Bedford Park |Renuka Visvanathan |Woodville South
DiscussionThis paper reports on the development, validation and calibration of an individual-based state transition model for the prediction of frailty and seven frailty-related events for a cohort of older Australians. Using a model structure previously validated by experts [25], the parameterisation of our simulation model was informed by the experience of a large heterogenous European population (SHARE) with external validation and calibration to a large Australian cohort (HILDA).
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