BACKGROUND: Frailty is increasingly used to risk stratify older people, but across specialised services there is no standardised approach. The aim of this study was to assess if the Hospital Frailty Risk Score (HFRS) could describe outcomes for older people within English specialised services. DESIGN: A retrospective cohort study was performed using the Secondary Uses Service (SUS) electronic database for people aged 75 or older admitted between April 2017 and March 2018. METHODS: Based on HFRS, the populations were risk stratified into mild, moderate and severe frailty risk. The relationships with length of stay, readmission rate, mortality and some selected condition specific treatment complications were quantified using descriptive statistics. RESULTS: Very few individuals (<2%) could not be risk stratified for frailty risk. Frailty was differentially distributed across the specialties; around one-third had mild frailty; another third had moderate frailty and one-quarter severe frailty. Increasing frailty risk was associated with increased length of stay for the index admission, more days in hospital in the year following intervention and increased risk of dying in hospital. Severe frailty was a powerful discriminator of the risk of death; between 25 and 40% of those with severe frailty risk died at 30 months across all specialties. CONCLUSIONS: This study demonstrates the first application of the HFRS to a national dataset to describe service outcomes and mortality for older people undergoing a range of specialised interventions. This information could be used to identify those that might benefit from holistic assessment, aid prognostication, commissioning and service planning.
BACKGROUND: Frailty is increasingly used to risk stratify older people, but across specialised services there is no standardised approach. The aim of this study was to assess if the Hospital Frailty Risk Score (HFRS) could describe outcomes for older people within English specialised services. DESIGN: A retrospective cohort study was performed using the Secondary Uses Service (SUS) electronic database for people aged 75 or older admitted between April 2017 and March 2018. METHODS: Based on HFRS, the populations were risk stratified into mild, moderate and severe frailty risk. The relationships with length of stay, readmission rate, mortality and some selected condition specific treatment complications were quantified using descriptive statistics. RESULTS: Very few individuals (<2%) could not be risk stratified for frailty risk. Frailty was differentially distributed across the specialties; around one-third had mild frailty; another third had moderate frailty and one-quarter severe frailty. Increasing frailty risk was associated with increased length of stay for the index admission, more days in hospital in the year following intervention and increased risk of dying in hospital. Severe frailty was a powerful discriminator of the risk of death; between 25 and 40% of those with severe frailty risk died at 30 months across all specialties. CONCLUSIONS: This study demonstrates the first application of the HFRS to a national dataset to describe service outcomes and mortality for older people undergoing a range of specialised interventions. This information could be used to identify those that might benefit from holistic assessment, aid prognostication, commissioning and service planning.
Authors: Choon Ying Wang; Henry H L Wu; Quinta Ashcroft; Lauren Floyd; Adam D Morris; Marwan Bukhari; Ajay P Dhaygude; Andrew C Nixon Journal: Rheumatol Adv Pract Date: 2022-09-27