Aubyn Pincombe

Jul 31, 2024 | publish.csiro.au | Timothy J. Schultz |Candice Oster |Aubyn Pincombe |Andrew Partington

References1  Shepperd S, Iliffe S, Doll HA, et al. Admission avoidance hospital at home. Cochrane Database Syst Rev 2016; 9: CD007491. | Crossref | Google Scholar | PubMed | 2  Arsenault-Lapierre G, Henein M, Gaid D, et al. Hospital-at-Home Interventions vs In-Hospital Stay for Patients With Chronic Disease Who Present to the Emergency Department: A Systematic Review and Meta-analysis. JAMA Netw Open 2021; 4: e2111568. | Crossref | Google Scholar | PubMed | 3  Curioni C, Silva AC, Damião J, et al.

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.

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).