C P Subbe1, J Kellett2, C J Whitaker3, F Jishi4, A White4, S Price4, J Ward-Jones4, R E Hubbard5, E Eeles5, L Williams4. 1. School of Medical Sciences, Bangor University, Bangor, United Kingdom. 2. Nenagh Hospital, Nenagh, Ireland. 3. NWORTH, Clinical Trials Unit, Bangor University, Bangor. United Kingdom. 4. Wrexham Maelor Hospital, Croesnewydd Road, Wrexham, United Kingdom. 5. Centre for Research in Geriatric Medicine, University of Queensland, Brisbane, Australia.
Abstract
BACKGROUND: Departments of Internal Medicine tend to treat patients on a first come first served basis. The effects of using triage systems are not known. METHODS: We studied a cohort in an Acute Medical Unit (AMU). A computer-assisted triage system using acute physiology, pre-existing illness and mobility identified five distinct risk categories. Management of the category of very low risk patients was streamlined by a dedicated Navigator. Main outcome parameters were length of hospital stay (LOS) and overall costs. Results were adjusted for the degree of frailty as measured by the Clinical Frailty Scale (CFS). A six month baseline phase and intervention phase were compared. RESULTS: 6764 patients were included: 3084 in the baseline and 3680 in the intervention phase. Patients with very low risk of death accounted for 40% of the cohort. The LOS of the 1489 patients with very low risk of death in the intervention group was reduced by a mean of 1.85days if compared with the 1276 patients with very low risk in the baseline cohort. This was true even after adjustment for frailty. Over the six month period the cost of care was reduced by £250,158 in very low patients with no increase in readmissions or 30day mortality. CONCLUSIONS: Implementation of an advanced triage system had a measurable impact on cost of care for patients with very low risk of death. Patients were safely discharged earlier to their own home and the intervention was cost-effective. Crown
BACKGROUND: Departments of Internal Medicine tend to treat patients on a first come first served basis. The effects of using triage systems are not known. METHODS: We studied a cohort in an Acute Medical Unit (AMU). A computer-assisted triage system using acute physiology, pre-existing illness and mobility identified five distinct risk categories. Management of the category of very low risk patients was streamlined by a dedicated Navigator. Main outcome parameters were length of hospital stay (LOS) and overall costs. Results were adjusted for the degree of frailty as measured by the Clinical Frailty Scale (CFS). A six month baseline phase and intervention phase were compared. RESULTS: 6764 patients were included: 3084 in the baseline and 3680 in the intervention phase. Patients with very low risk of death accounted for 40% of the cohort. The LOS of the 1489 patients with very low risk of death in the intervention group was reduced by a mean of 1.85days if compared with the 1276 patients with very low risk in the baseline cohort. This was true even after adjustment for frailty. Over the six month period the cost of care was reduced by £250,158 in very low patients with no increase in readmissions or 30day mortality. CONCLUSIONS: Implementation of an advanced triage system had a measurable impact on cost of care for patients with very low risk of death. Patients were safely discharged earlier to their own home and the intervention was cost-effective. Crown
Authors: Alexander Kutz; Jonas Florin; Pierre Hausfater; Devendra Amin; Adina Amin; Sebastian Haubitz; Antoinette Conca; Barbara Reutlinger; Pauline Canavaggio; Gabrielle Sauvin; Maguy Bernard; Andreas Huber; Beat Mueller; Philipp Schuetz Journal: PLoS One Date: 2016-05-12 Impact factor: 3.240
Authors: Thomas Knight; Catherine Atkin; Finbarr C Martin; Chris Subbe; Mark Holland; Tim Cooksley; Daniel Lasserson Journal: BMC Geriatr Date: 2022-01-03 Impact factor: 3.921