Ontology highlight
ABSTRACT: Background
recognising that a patient is nearing the end of life is essential, to enable professional carers to discuss prognosis and preferences for end of life care.Objective
investigate whether an electronic frailty index (eFI) generated from routinely collected data, can be used to predict mortality at an individual level.Design
historical prospective case control study.Setting
UK primary care electronic health records.Subjects
13,149 individuals age 75 and over who died between 01/01/2015 and 01/01/2016, 1:1 matched by age and sex to individuals with no record of death in the same time period.Methods
two subsamples were randomly selected to enable development and validation of the association between eFI 3 months prior to death and morta
SUBMITTER: Stow D
PROVIDER: S-EPMC6014267 | biostudies-literature | 2018 Jul
REPOSITORIES: biostudies-literature