Frail older people have a high risk of poor health outcomes. GPs are encouraged to identify those who are moderate-severely frail and provide personalised care. The electronic frailty index (eFI) supports this, but has limitations, including insufficient attention to mental health and time-varying conditions.
This project is developing eFI2 to improve clinical utility, in collaboration with NIHR ARC Yorkshire and Humber (YHARC). The UCL team will determine the best combination of mental health and social variables to predict frailty outcomes. The YHARC team will optimise time-dependent variables. We will develop and externally validate the eFI2 using routine primary care electronic health record databases. The eFI2 will enable better discrimination and targeting of resources for frailty.