Identifying frailty early enables timely interventions that can significantly improve a person’s quality of life. Early detection of frailty in the community or hospital setting should lead to preventative measures, such as promoting physical activity and good nutrition.27 This proactive approach can reduce the risk of falls, hospitalisations and other complications associated with frailty.28,29 Early identification facilitates personalised care planning and discussions about accessing social care support. Early identification also supports future care planning and care around death.6,29
Large-scale identification of frailty can be used to plan services at a strategic level. Tools such as the electronic Frailty Index (eFI) use routine health record data to calculate a score based on a predicted frailty level.30 Electronic population-based risk stratification can identify people who are likely to be living with frailty.31 It should be used alongside tools such as a clinical frailty scale to evaluate frailty on an individual basis.6 Identifying and confirming the level of frailty that someone is living with in any setting should support timely access to further assessment, investigations, treatment and coordinated care.27,32,33 Identification of frailty should be undertaken in line with Standard 10.
Digital technology, including artificial intelligence, can help identify and manage frailty.34 As technology advances, organisations should ensure that it is used appropriately and ethically.35,36 This includes artificial intelligence, large-scale data modelling and digital information systems. 18, 37-39 Organisations should work in partnership to test and evaluate screening and identification tools appropriate to different care setting.
Organisations should identify care partners and unpaid carers who may be providing practical day to day support. This supports assessment of their own care needs and what might happen if they were unable to continue providing care.40,41